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Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Go, Scala or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, Go or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

WMS Pre-sales Consultant Employment Type: Full Time, Salaried Location: Hybrid; Teaneck, NJ 07666 Made4net is a leading provider of supply chain execution software solutions. Our innovative technology helps businesses optimize their supply chain operations, increase efficiency, and improve overall productivity. With a global presence and a commitment to excellence, Made4net is at the forefront of the industry, serving a diverse range of clients across various sectors. Purpose of the Function: This function plays a critical role in understanding customer needs, presenting tailored solutions, and ensuring a high level of customer satisfaction. By aligning sales strategies with organizational goals, the Sales Function contributes to market expansion, brand visibility, and long-term business sustainability. At Made4net, we don’t just sell Warehouse Management Systems (WMS); we sell a vision of operational excellence. We are seeking a passionate storyteller who can stand in front of a prospect, empathize with the frustration of their aged legacy solutions, and build a compelling mental bridge to a better future with Made4net. Purpose of the Job: As a Pre-Sales Consultant you are expected to have strong understanding of supply chain challenges and opportunities, and how technology can enable companies to gain competitive advantage by addressing these challenges quickly and effectively. You will work closely with sales, professional services, and executive leadership to turn supply chain challenges into opportunities. Your goal is not just to demonstrate features, but to paint a picture of a future state where the customer’s pain points are resolved. This role is a trusted advisor to our clients, which means we maintain and offer our clients extensive knowledge in the industries we service, the workflows we can augment and deliver superior results that support our clients' strategic objectives. Core Duties and Responsibilities: • Become a Trusted Advisor to our existing customers and prospects., • Collaborate with a cross-functional team to create an opportunity/account strategy, align the Made4net solution with pain points, assist/build ROI presentation(s), and present/demo the solution., • Deep Discovery: Conduct discovery workshops not just to gather requirements, but to truly understand the nuance of the customer's business and the friction in their current processes., • Behind the Scenes: While the presentation is art, the setup is engineering. You will configure demonstrations and engineer solutions using your technical proficiency., • The Narrative Architect: Instead of simply clicking through features, you will craft and deliver demonstrations that follow a storyboard, guiding the customer through a journey from their current struggle to their future success., • The "Aha!" Moment Creator: Use your presentation skills to create moments of realization for the client, helping them visualize exactly how Made4net integrates with or replaces their existing ERP, OMS, and automation technologies., • Replay & Validate: "Replay" the customer's process back to them to prove you understand their reality, establishing yourself as a Trusted Advisor who "gets it" before you ever pitch a solution., • Develop and maintain technical and business knowledge of industry directions and trends., • The Bridge Builder: You will act as a translator, taking complex technical capabilities—like our private cloud/SaaS or on-premise models—and explaining them in a way that resonates with business goals and solves specific pain points., • Assist in the development of pricing proposals and communicating to customers/prospects implementation requirements and timelines., • Play a critical role in responding to RFI’s and RFPs in the functional, technical, and cloud/security areas., • Collaborate with Director of Sales Engineering to develop Pre-Sales Consulting “playbook.” Required toolkit: • Experience: 5+ years of industry, consulting, or Pre-Sales experience (Warehouse/Transportation focus preferred). (Warehouse/Transportation) experience (Pre-Sales preferred), • Methodology: Experience with Demo2Win is highly preferred. If you are a natural storyteller without the certification, we are willing to invest in your training., • Communication: Outstanding ability to convey industry trends and support messaging with data. You must be comfortable presenting a broad vision to audiences of varying sizes. Required Qualifications: • Undergraduate degree in Logistics, STEM, or a comparable area of study., • SQL Server: Basic skills (SQL statements, views, triggers) to manipulate data for demos., • OS: Basic Windows Server Operating System skills., • Apps: Proficiency in MS Office (Excel, PowerPoint, Word). The Mindset: • Collaborative: A team-oriented attitude, willing to jump in wherever needed to support the company and the customer., • Adaptive: High energy and comfortable with ambiguity; you can adjust to shifting priorities in an entrepreneurial environment., • Road Warrior: Willingness to travel up to 50% to meet our customers where they are. Pay range: From $100,000.00 per year salary This position offers a competitive salary package that is commensurate with your years of experience in the field and the specific skills you bring to the role. Made4net is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Physical Demands: The employee must occasionally lift and/or move up to 15 pounds from a floor position to an over the head position. Specific vision abilities required by this job include close vision, color vision, depth perception, and ability to adjust focus. While performing the duties of this job, the employee is regularly required to sit, stand, verbally communicate, and perform intricate finger dexterity to type or manipulate electronic documents while speaking or listening. We are committed to providing reasonable accommodations to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act (ADA). This job description outlines the essential functions of the position. Applicants who need reasonable accommodation to participate in the application or interview process should contact the Human Resources department.

Endava is a leading technology services company dedicated to helping clients accelerate their digital transformation journeys. We're seeking a Google Cloud Industry Consultant to join our growing Google Cloud team. In this role, you'll be a true builder, with deep technical knowledge, working as an entrepreneur within our organization. You'll partner with Endava Industry Sellers and Google Cloud's sales teams to identify, pitch, and sell innovative, cloud-native solutions that directly address complex customer challenges. Your work will not only drive our clients' success but also contribute to the growth of our Google Cloud business. You'll be a trusted advisor, a technical visionary, and a hands-on leader, shaping the future of cloud solutions at the intersection of industry expertise and cutting-edge technology. Job Description Accountabilities As a Google Cloud Industry Consultant, you'll be accountable for: • We're looking for someone with a blend of technical prowess, strategic thinking, and exceptional interpersonal skills. Qualifications Ideal Profile The ideal candidate will possess a compelling mix of experience and technical certifications. Experience: • 5+ years of hands-on experience in a cloud architecture, consulting, or solution design role., • Extensive experience designing and implementing large-scale solutions on Google Cloud Platform (GCP)., • Demonstrated industry expertise in banking, payments or insurance, • Expert knowledge of core GCP services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, Networking)., • Hands-on experience with Infrastructure as Code tools like Terraform., • Deeper technical experience in either AI & Data (e.g., Gemini, BigQuery, Vertex AI, Dataflow) or Security (e.g., Cloud Armor, VPC Service Controls, Security Command Center) is highly preferred., • Familiarity with containerization (Docker, Kubernetes) and CI/CD tools., • Bachelor's degree in Computer Science, Engineering, or a related field., • Google Cloud Professional Cloud Architect certification is highly preferred., • Additional GCP certifications (e.g., Professional Data Engineer, Professional DevOps Engineer) are a plus Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: • Participation in both internal meetings and external meetings via video calls, as necessary., • Ability to go into corporate or client offices to work onsite, as necessary., • Prolonged periods of remaining stationary at a desk and working on a computer, as necessary., • Ability to bend, kneel, crouch, and reach overhead, as necessary., • Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary., • Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary., • For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. USA Benefits (Full time roles only, does not apply to contractor positions) • Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options, • Flexible Spending Accounts (Medical, Transit, and Dependent Care), • Employer Paid Life Insurance and AD&D Coverages, • Health Savings account paired with our low-cost High Deductible Medical Plan, • 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Full-Stack Engineer to join our Wealth Service Platform team. This role is located in New York, NY. In this role, you’ll make an impact in the following ways: • Lead the design, development, and deployment of full stack applications aligned with business needs., • Collaborate with cross-functional teams including product, operations, and security to deliver innovative solutions., • Drive best practices in coding, testing, and deployment to ensure high-quality software delivery., • Mentor and guide junior developers, fostering a culture of continuous learning and improvement., • Participate in architectural decisions and contribute to technology strategy., • Participating in code reviews and assisting in debugging efforts., • Ensure applications meet security, compliance, and performance standards., • Manage project timelines and deliverables, coordinating with stakeholders to meet business objectives., • Continuously contributing directly to the success of project deliverables. To be successful in this role, we’re seeking the following:, • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred., • 7-9 years of experience in full stack software development required, • Extensive experience in full stack development with proficiency in modern front-end frameworks (e.g., Angular, React, Vue) and back-end technologies (e.g., Java, Spring Framework, Oracle, SQL)., • Strong understanding of REST APIs, cloud platforms, and DevOps practices., • Proven leadership experience in software development projects within a financial services environment is a plus., • Excellent problem-solving, communication, and collaboration skills., • Ability to work effectively in a fast-paced, agile environment. At BNY, our culture speaks for itself, check out the latest BNY news at: ___ ___ Here’s a few of our recent awards:, • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap., • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • 5+ years of full-time engineering experience, post-graduation, • 2+ years of prior engineering management or equivalent experience and has managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective is seeking a Principal Network Infrastructure Engineer, to partner with Architects and Engineers in the IT network infrastructure, supporting our business platforms and continuously improving to meet the evolving needs of our business community. The Engineer will provide technical leadership to the team to help drive the strategic initiatives, and "Cloud First" direction of Selective Insurance. The network engineer is also required to document designs and creations and share their findings with others. Responsibilities • Provide leadership in IT for the development of highly appropriate, tightly integrated, consistently available, secure, flexible, and fault-tolerant solutions, • Ability to Design and implement standardized methodologies to deploy and maintain routing and switching, LAN/WAN, wireless network, load balancers, cloud infrastructure networking components, network monitoring tools, WAN acceleration, SD WAN and other relevant technologies, • Ability to lead network implementation by taking ownership of a project and being accountable for its success, including providing executive summary status reports, • Ability to design enterprise network routing architectures using protocols such as Open Shortest Path First (OSPF), Border Gateway Protocol (BGP), and Enhanced Interior Gateway Routing Protocol (EIGRP)., • Knowledge of SDN concepts and familiarity with Python, REST, model-driven programmability, containers and other modern aspects of network engineering, • Strong background in data center networking technologies like Cisco IOS, NXOS, Cisco VPC, Spine-Leaf designs, OTV and VXLAN layer2 extensions, etc., • Work with architecture team to prepare recommendations and supporting details for formal project proposals for network connectivity and configurations, • Perform as SME escalation in support of IT operational organization during complex highly impactful outages that can cross multiple functional domains, involving chronic recurring problems, vendor product bugs and other critical network functionality, • Ensure all engineered solutions have sufficient design documentation available including HLD and LLD documents., • Ensure all engineered solutions and features take operational needs into account and provide the Operations team with sufficient documentation, training and standard operating procedures that support daily operation, maintenance, upgrades and support escalations for the solution., • Identify areas for enhanced efficiency through automation, suggested process improvements and streamlined workflow., • College degree in Computer Science or a related field preferred., • 10 + years of relevant experience in a fast-paced, enterprise-level environment including leadership roles, • Ability to create accurate network diagrams and documentation for design and planning network layout and communication systems., • Experienced in Azure Cloud networking, • Advanced level knowledge of many of the following technologies: Cisco Catalyst and Nexus switches; Cisco routers; Cisco Meraki wireless LAN; Cisco ISE; F5 LTM, APM and iRules; Palo Alto firewalls, including Prisma Access; Cloud based technologies (Azure, AWS and GCP) is required, with a strong understanding of and experience with Azure; Palo Alto SD WAN; SolarWinds., • Network certifications required from leading network vendors: Cisco (CCNA, CCNP, CCIE); F5; Microsoft Azure., • Ability to work with vendors and research product offerings to determine appropriate solutions. Ability to review, evaluate and make recommendations on vendor SOW's, BOM's and proposals., • Demonstrated ability to successfully communicate to all levels of IT, including producing status reports interface with stakeholders and report to IT leadership., • Drive alignment of network engineering initiatives with business objectives and measurable KPIs., • Mentor and coach less senior engineers to build team capability and foster professional growth., • Champion Agile, DevOps, and modern delivery practices within network engineering projects., • Engage proactively with business stakeholders and cross-functional teams to ensure solutions meet enterprise needs., • Lead innovation efforts by identifying technical debt, proposing modernization strategies, and implementing automation., • Collaborate with leadership to define success metrics and report progress against KPIs., • Promote diversity, equity, and inclusion within the team and contribute to an inclusive culture., • Advocate continuous learning and career development opportunities for team members. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $150,000.00 - USD $192,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note for NJ candidates: This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Contact Center Engineer to join our national Contact Center & Customer Experience practice. This role is responsible for the design, implementation, and optimization of next-generation Contact Center as a Service (CCaaS) solutions, leveraging platforms from Cisco, Amazon Web Services, Genesys, and Five9, and integrating AI-driven capabilities from Google, Amazon, and Microsoft. You'll collaborate with cross-functional teams, partner ecosystems, and clients across industries to transform traditional contact centers into modern, AI-powered engagement platforms that deliver intelligent, seamless customer experiences. Responsibilities include: • Lead design and deployment of CCaaS and hybrid contact center solutions using Cisco Webex Contact Center, Amazon Connect, Genesys Cloud CX, and Five9., • Architect AI-enhanced customer experiences through conversational AI, speech recognition, and automation tools such as Google Dialogflow, AWS Lex, and Microsoft Copilot frameworks., • Develop and integrate APIs between contact center, CRM, WFO/WFM, analytics, and AI systems., • Collaborate with clients to translate business requirements into scalable, cloud-first architectures., • Drive solution standardization and reusable frameworks to accelerate delivery and improve quality., • Provide Tier 3 engineering support, performance tuning, and troubleshooting across multi-vendor environments., • Serve as a trusted advisor to customers on technology modernization, AI adoption, and omnichannel strategy., • Mentor and support junior engineers through knowledge sharing and best practices documentation. Required Skills and Professional Experience • 5+ years of proven hands-on experience designing, implementing, or supporting modern Contact Center or CCaaS platforms (Cisco, AWS, Genesys, or Five9)., • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional or military experience., • Working knowledge of cloud ecosystems and DevOps principles-including AWS, Azure, or GCP., • Demonstrated experience integrating AI/ML solutions (Dialogflow, Lex, Azure AI, Copilot, etc.) with CCaaS workflows., • Familiarity with serverless development and API-driven architectures (Lambda, Node.js, Python, JavaScript, REST)., • Exposure to CRM and WFO/WFM integrations (Salesforce, ServiceNow, Verint, Calabrio, etc.)., • Understanding of Infrastructure as Code (IaC) tools (CloudFormation, Terraform, or CDK) and automation frameworks., • Strong troubleshooting, diagnostic, and analytical skills in complex multi-platform environments., • Knowledge of Speech Analytics, Generative AI, and intelligent routing in customer experience platforms., • Experience developing custom integrations or microservices supporting CCaaS functionality., • Understanding of identity, access management, and data security within cloud environments (SAML, OAuth, IAM)., • Familiarity with data analytics and reporting pipelines leveraging AI for customer insight. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JH1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Title: GenAI Engineer (Azure) Location: Whippany, NJ(Hybrid) Duration: Fulltime Role Summary We are looking for a GenAI Engineer / Lead with strong experience on Azure to design, build, and scale Generative AI solutions for enterprise use cases. The role involves working on LLM‑based applications, RAG pipelines, and secure AI platforms aligned with Responsible AI principles. Key Responsibilities • Design and develop GenAI solutions on Azure, leveraging Azure OpenAI, Azure AI Search, and related services, • Build and optimize RAG pipelines, prompt engineering, and LLM orchestration (e.g., LangChain), • Integrate GenAI solutions with enterprise data sources (documents, APIs, databases), • Implement security, governance, and Responsible AI guardrails (RBAC, Key Vault, compliance), • Collaborate with architects, data engineers, and business stakeholders to deliver scalable AI solutions Required Skills • Strong hands‑on experience with Azure OpenAI Services, • Experience with LLMs, prompt engineering, embeddings, and RAG architectures, • Proficiency in Python (primary), REST APIs, and microservices, • Knowledge of Azure services such as Azure AI Search, Functions, Storage, and DevOps pipelines The base compensation range for this role in the posted location is: $115,000 to $130,000/Yearly Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), • Life and disability insurance, • Employee assistance programs Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Entelligence is seeking an Engineer to support our Palo Alto’s clients. The successful candidate must be able to work in a cross-functional environment and interact with representatives from Entelligence, Palo Alto Networks, and the end-user. As an Engineer for Cortex XSIAM, you will be responsible for assisting with the log migration and detection strategy of our customers. You will work closely with the technical lead to ensure that all of the relevant log sources are onboarded and ingested into XSIAM in accordance with industry best practices and customer requirements. You will then work to determine a suitable detection strategy, helping to protect customers from threats, by designing and implementing correlation rules. RESPONSIBILITIES: • Work with technical lead to develop log ingestion strategy, • Contribute to detection strategy based on industry best practices, • Detail step by step process to ingest high quality log sources, • Perform log source monitoring and optimization, • Create high quality correlation rules, • Tune log sources and correlation rules, • Be an SME for SIEM, Correlation and Log Source Ingestion, • Recognize opportunities where automation can improve analyst alert handling, • Collaborate with internal and external teams to ensure product adoption, • Create technical documentation detailing SIEM aspects of the engagement, • Travel to customer meetings and workshops as needed (10%) JOB REQUIREMENTS: • Strong communication (written and verbal) and presentation skills, both internally and externally, • Fluent English is a requirement - Any other language is a plus, • 3+ years of deploying and integrating (SIEM) to enterprise to large enterprise-level, • Coordinating and conducting event collection, log management, event management, compliance automation, and identity monitoring activities using (SIEM) platforms, • The ability to create and develop correlation and detection rules, within a (SIEM) to support alerting capabilities, • Experience working with and deploying a variety of SIEM technologies (i.e Splunk, IBM QRadar), • A proven ability to offer suggestions on detection strategy based on customer requirements, • Ability to understand logs, locating and understanding 3rd party documentation where needed, • Familiarity with reports on the status of the SIEM to include metrics on items such as number of logging sources - log collection rate, and other performance metrics, • Knowledge of Security Analysis & Response a plus, including both endpoint, network & cloud based environments • 3 years experience with Security Operation Centers tooling and processes, • Relevant bachelor's degree or industry recognized qualifications (CISSP, GIAC, SIEM Vendor Qualification etc)• Ability to read and understand technical design documentation • Ability to create technical design documentation BENEFITS • Competitive base salary, • Medical, dental, vision and life insurance, • Vacation, sick time and paid holidays, • Matching 401(k) program ENTELLIGENCE. ALWAYS READY. Since 1997, Entelligence has provided mission critical project delivery capacity for uninterrupted growth and long-term market leadership to the industry’s biggest enterprise IT brands. Our commitment to close working partnerships and a proven approach for sustainable success is why Entelligence is Always Ready to help the world’s technology leaders quickly deliver their most advanced IT solutions to their most important customers.

Principal, Business Consulting – Payments Functional Program Manager Practice: Financial Services, Infosys Consulting Focus: High Value Payments (HVP) Modernization | ISO 20022 | COTS on Microservices | Agentic AI Role Summary Infosys Consulting’s Financial Services practice is seeking a seasoned Functional Program Manager to lead a Payments Modernization program for a Tier 1 financial institution. You will drive the replacement of legacy mainframe systems with a COTS product, and forward engineer rail agnostic capabilities on a cloud/microservices platform, incorporating agentic AI to enable intelligent, future ready payment flows. This is a high impact, client facing role(s) requiring deep payments expertise, strong program leadership, and a track record of delivering complex transformations in regulated environments. What You’ll Do • Own the client relationship across transformation delivery, BAU change, and support for a large U.S. bank; manage senior stakeholder expectations while maintaining profitability and growth., • Lead platform modernization that includes but not limited to reverse engineering of legacy mainframe platforms, forward engineering, COTS product implementation, and upstream/downstream integrations., • Direct ISO 20022 adoption and certification (e.g., Fedwire/FedNow, CBPR+); guide product configuration and customization—especially for ACI MTS and UPF., • Govern program financials: budgeting, milestone billing, forecasting, pipeline management, and margin integrity., • Set payments architecture direction: advocate rail agnostic orchestration, microservices patterns, cloud deployment models, and event driven integration., • Shape and integrate agentic AI interventions across journeys (ops automation, dispute/exception handling, reconciliation, data quality, monetization)., • Lead cross functional teams (client & Infosys) to gather requirements, design data maps, ensure traceability, and manage risk/issue remediation., • Support business development: solutioning, proposals, thought leadership, market relevant POVs., • Ensure compliance with PCI DSS/AML/KYC, resiliency, observability, and operational excellence., • Not a pure BA role—we’re seeking leaders who can span program delivery, architecture direction, and domain depth. Role Tracks (You may align to one primary track and flex across others) • Program Management (Payments Modernization), • Drive multi year HVP modernization with COTS, integrations, ISO migrations, certification, and executive governance., • Enterprise / Solution Architecture (Payments), • Define target state (rail agnostic, ISO native), microservices reference architecture, messaging, integration patterns, security, and scalability., • Payments SME / Advisory, • Bachelor’s degree (or foreign equivalent)., • 7+ years in payments/financial services with 3+ years in management consulting at a top tier/professional services firm. (10+ years overall experience preferred for a principal.), • Deep HVP domain expertise: Fedwire/CHIPS, CBPR+, cross border, and ISO 20022 message standards (pacs/camt/pain; mapping, validation, enrichment)., • Delivered at least one end to end ISO 20022 migration for CBPR+ and/or Fedwire/FedNow: experience with certification and market testing. (Cards professionals are welcome with consumer and commercial card solutions E2E implementation experiences), • Hands on experience across payments value chain at enterprise and ecosystem level: origination, processing, clearing/settlement, servicing, messaging—B2B, disbursements, consumer/retail., • Experience with COTS Payment Hubs and processors (e.g., ACI MTS/UPF, Finastra, Fiserv) and complex integration in regulated environments., • Solid understanding of legacy mainframe payment systems and modernization patterns., • Proficiency in program governance & financials, stakeholder management, issue/risk management, and executive communication., • Familiarity with cloud & microservices constructs (e.g., containerization, APIs, event streaming) and DevSecOps/testing management., • Ability to travel extensively., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • Certifications: PMP/PRINCE2/SAFe; TOGAF 9.2/10 (for architecture track); ISO 20022 certifications; BIS/Fed or equivalent; Agile delivery., • RTP expertise: TCH RTP and FedNow implementation; vendor experience (Finastra, Fiserv) is a plus., • Liquidity/Treasury: Nostro/Vostro, cash & liquidity management, payables/receivables, collections., • Cross rail expertise: HVP, mass payments (ACH), immediate payments (RTP/FedNow), P2P, card (retail & commercial), tokenization, stablecoins (awareness)., • Data & Engineering: lineage, quality, metadata, monetization; Kafka/event streaming; API management; observability; resiliency engineering., • AI in Payments: Machine Learning & Predictive Modeling (fraud, risk, anomaly detection, forecasting); GenAI/LLMs for ops automation, dispute handling, policy interpretation, developer/API copilots, and RAG; Reverse/forward engineering accelerators; MLOps and responsible AI (XAI, bias/fairness)., • Firm building: pre sales, POVs, conference visibility, industry research. Core Skills & Ways of Working • Thought leadership and structured problem solving; crisp storytelling for C Suite., • Numbers driven program leadership: budget, schedule, scope, and benefits realization., • Stakeholder management across technology, operations, risk/compliance, product, and external networks., • Hands on orientation with the ability to go deep on requirements, mappings, and validation without losing the big picture. Responsibilities Snapshot (Illustrative) • Stand up and run a multi wave ISO 20022 program (CBPR+, Fedwire, FedNow)., • Lead COTS hub implementation (e.g., ACI MTS/UPF): product fit, customization, integration, certification., • Define target state architecture (rail agnostic orchestration, microservices, APIs, streaming)., • Implement AI/LLM use cases in payments ops, exception management, reconciliation, and data monetization., • Deliver RTP via leading products (Finastra, Fiserv) as an advantage., • Manage DevSecOps and testing services; ensure performance, resilience, and compliance., • Build data maps and transformations for message conversion and canonical models., • Drive pipeline expansion and support pursuits with solutioning and differentiated PoVs. The estimated total annual compensation (Base + Bonus) range for candidates based out on NJ, IL, NY, CA & WA will be $ 154,375 to $ 193,125

We are seeking a Sales Engineer to partner with Named Account Managers in our mid-market territory. This role is designed for a technically strong but strategically minded individual who thrives in customer-facing engagements. The candidate will act as a trusted advisor, guiding organizations through cybersecurity transformation initiatives that span SecOps, Zero Trust, cloud, endpoint and network security. Responsibilities * Partner with sales to qualify opportunities, define solution strategy, and align technical capabilities with customer business outcomes. * Lead discovery sessions, workshops, and security assessments that uncover operational and architectural requirements in complex environments. * Design and present secure architectures that incorporate networking, cloud, and SecOps components. * Deliver impactful presentations and demos to both technical stakeholders and executive decision-makers (CISOs, CIOs, CTOs, and business leaders). Customer Engagement & Strategy * Serve as the primary technical expert in sales cycles, guiding named accounts through evaluation and decision processes. * Advise on cybersecurity strategies such as Zero Trust, SASE, cloud security, and SecOps modernization. * Build and maintain long-term trusted relationships with C-level executives and senior technical leadership, positioning yourself as a strategic advisor. * Translate technical concepts into business value discussions tailored for executive-level conversations. Post-Sales Partnership * Support smooth deployment transitions by working closely with professional services, technical support, and customer success teams. * Provide roadmap guidance, operational reviews, and strategic check-ins to reinforce customer value realization. * Continue as a trusted advisor to enterprise leadership, ensuring ongoing alignment of their evolving needs with solution capabilities. Required Skills & Experience * 3-5 year experience in pre-sales or sales engineering roles in multi-location cybersecurity, networking, or cloud environments. * Strong understanding of networking (Firewall, Network Segmentation, LAN/WAN, Wireless, routing, switching, VPNs, TCP/IP) and core security protocols (IPSec, TLS/SSL, PKI, SAML, OAuth, RADIUS, etc.). * Ability to articulate and design solutions across: * Endpoint Security (EDR, DLP) * SecOps modernization (SIEM, SOAR, XDR) * Zero Trust and SASE architectures * Cloud and hybrid security (IaaS, SaaS, containerized workloads) * Identity and access management (MFA, SSO, PAM) * Excellent presentation, communication, and storytelling skills-capable of engaging both deeply technical audiences and executive decision-makers. * Proven track record of leading architectural discussions and aligning technical solutions with business priorities at the enterprise level. Preferred Qualifications * Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). * Industry certifications such as CISSP, CCSP, or vendor-specific credentials (e.g., NSE, CCNP Security, AWS Security Specialty). * Experience in consulting or advisory roles for medium enterprise customers, especially in CISO/CIO-level conversations. * Familiarity with compliance and security frameworks (MITRE ATT&CK, NIST CSF, ISO 27001, SOC 2). Why Join Us This is an opportunity to operate at the intersection of cybersecurity strategy, executive engagement, and customer success, influencing large-scale enterprise organizations as they modernize operations and adopt cutting-edge solutions. If you excel at combining technical depth with executive presence, this role will allow you to shape customer outcomes while growing your career in a dynamic security landscape. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $190,000 - $240,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is looking for a Site Reliability Engineer (SRE) to lead the design, implementation, and optimization of scalable, resilient, and secure infrastructure systems. This role requires deep expertise in systems engineering, infrastructure automation, and reliability practices, with a strong focus performance optimization. As a technical leader, the SRE will collaborate closely with architecture and development teams to ensure solutions align with SRE principles and operational excellence. Also drive continuous improvements in system resilience, observability, security, and automation, leveraging advanced data analytics and enhance service delivery and reliability. The SRE will also serve as a trusted advisor across the organization, offering expert-level consulting in cloud infrastructure, CI/CD pipelines, monitoring, and incident response. A strong understanding of business-critical applications and alignment with organizational goals is essential, along with a commitment to compliance with legal, regulatory, and security standards Responsibilities • Define and measure service reliability through SLIs, SLOs for various application in Selective, • Leverages logs, traces, and metrics to extract actionable insights, proactively identify system anomalies, and drive continuous improvements in system health, performance, and reliability., • Perform capacity planning, conduct performance profiling, and execute system tuning to support scalability, enhance reliability, and optimize system performance across distributed environments., • Collaborate with Agile teams to ensure new features meet reliability and performance standards, • Participate in incident response, and postmortem analysis to drive continuous improvement, • Implement and maintain observability tools, • Ensure compliance with security, legal, and regulatory requirements, • 5+ years of experience in SRE, DevOps, or systems engineering roles., • Experience with CI/CD pipelines and infrastructure-as-code tools Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components, • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Salary Range$180,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

The Regional Manager leads the Enterprise East regional team of Technical Account Managers to maximize client value and reduce churn for the Axonius platform. This role oversees the technical health of strategic accounts, managing major incidents and ensuring best practices are integrated into enterprise environments. The mission is to bridge complex technical issues with business solutions to drive platform adoption and identify growth opportunities within distributed systems. Responsibilities: • Manage and mentor a regional team of 5-10 Technical Account Managers, providing technical oversight of engagement deliverables and professional development., • Analyze platform adoption trends and utilization data to identify and mitigate renewal risks for license and success plan subscriptions., • Direct the resolution of major technical incidents by managing executive-level communications and expectations between the customer and internal teams., • Coordinate with sales departments to identify and technically qualify expansion opportunities for Axonius products within existing customer environments. Minimum Qualifications: • 7+ years of experience as a Technical Account Manager, Solutions Engineer, or a related customer-facing technical role., • 3+ years of experience directly managing technical customer-facing teams., • Proven experience managing technical security engagements for large-scale, complex distributed systems., • Documented ability to present technical roadmaps and status reports to Senior-level customer stakeholders. Preferred Qualifications: • Proficiency in mapping specific business requirements to technical features within the Axonius platform., • Technical knowledge of database, application, endpoint, and network security architectures., • Experience implementing customer health frameworks to provide measurable technical recommendations and success plans., • Practical experience with business process automation across Sales, Service, and Support functions., • Documented ability to present technical roadmaps and status reports to practitioner and senior-level stakeholders., • Ability to travel to customer sites and provide technical leadership during major incident response., • Ability track record of translating complex technical issues into documented business outcomes. #LI-SK1 #LI-REMOTE Axonius is committed to fair and equitable compensation packages. A candidate's salary will be based on qualifications and relevant experience. In addition to a competitive salary, our packages include stock options and attractive benefits. Annual On Target Earnings$205,000—$215,000 USD About Axonius: Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization's IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence. Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world. Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about___. At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectivesto apply. All qualified applicants will receive consideration for employment without regard torace, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status. By submitting your application to us, you acknowledge that your personal data will be processed in accordancewith our ___

Job Summary We are seeking a skilled Palo Alto Firewall Engineer to design, implement, manage, and optimize Palo Alto Networks security solutions. The ideal candidate will have strong hands-on experience with next-generation firewalls and a solid understanding of network security principles to protect enterprise environments. Key Responsibilities • Design, deploy, configure, and maintain Palo Alto Networks firewalls (PA-Series, VM-Series), • Manage security policies, NAT rules, VPNs (IPSec/SSL), and threat prevention profiles, • Configure and manage Panorama for centralized firewall management, • Monitor firewall performance, logs, and alerts; troubleshoot network and security issues, • Implement security best practices, including application control, URL filtering, and SSL decryption, • Perform firewall rule reviews, audits, and policy optimization, • Support network segmentation and Zero Trust security initiatives, • Collaborate with network, security, and IT teams to support business requirements, • Maintain documentation for configurations, procedures, and network diagrams, • Participate in change management and on-call support as required Required Skills & Qualifications • Strong experience with Palo Alto Networks firewalls, • Hands-on knowledge of Panorama, • Experience with IPSec and SSL VPN configurations, • Solid understanding of TCP/IP, routing, and network security concepts, • Experience with security features such as Threat Prevention, WildFire, URL Filtering, and App-ID, • Ability to troubleshoot complex network and security issues Preferred Qualifications • Palo Alto Networks certifications (PCNSE. NGFE), • Experience with cloud firewalls (AWS, VM-Series), • Knowledge of automation using APIs, Ansible, or Terraform Education & Experience • Bachelor’s degree in Computer Science, Information Technology, or equivalent experience, • Competitive salary and benefits package ($120,000 - $160,000), • Opportunities for professional development and growth., • Collaborative and supportive work environment. Work location • Hybrid work schedule (3 days in office, 2 days remote) - first 90 days are on fully in office

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400—$224,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. Salary Range$130,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

What success looks like in this role: Key Responsibilities • Define and own the target-state AWS infrastructure architecture and operational standards for production environments, ensuring scalability, resilience, security, and alignment to business objectives., • Act as the technical authority for Linux and Windows OS engineering on AWS, driving platform stability through proactive improvements, advanced troubleshooting, and performance tuning across complex environments., • Establish enterprise-grade Infrastructure as Code (IaC) frameworks, reusable patterns, and governance using Terraform and/or CloudFormation; review and approve infrastructure changes for quality and risk., • Lead security architecture and compliance implementation across IAM strategy, network segmentation, encryption/KMS, centralized logging/auditing, and continuous control validation in partnership with security and risk teams., • Drive performance engineering and cost optimization strategy across AWS workloads, including right-sizing, scaling design, storage optimization, lifecycle policies, and standard optimization playbooks., • Own DR/BCP architecture and readiness, including RTO/RPO definition support, recovery designs, runbooks, testing cadence, and continuous improvements based on lessons learned., • Enable mature CI/CD and deployment practices by integrating infrastructure and platform controls with pipelines (CodePipeline/CodeDeploy and/or Jenkins/GitLab), including guardrails, policy-as-code, and release governance., • Lead major incident and problem management for cloud infrastructure, providing deep technical leadership during outages, ensuring high-quality RCAs, and driving corrective/preventive actions and reliability improvements., • Provide technical leadership across teams: mentor L1-L3 engineers, conduct design reviews, contribute to hiring/upskilling, and promote best practices and standardization., • Maintain high-quality documentation and reference architectures, including standards, blueprints, operational procedures, and knowledge base articles. Skills (Must-haves) • 8+ years of infrastructure engineering/operations experience, with 5+ years delivering and operating AWS production environments at scale., • Expert-level understanding of AWS services and architecture patterns, including EC2, EBS, S3, VPC, IAM, CloudWatch, CloudTrail, load balancing, and scaling strategies., • Deep Linux and Windows engineering expertise in cloud environments (hardening standards, patching strategy, automation, performance tuning, troubleshooting at scale)., • Expert-level IaC capability using Terraform and/or CloudFormation, including reusable frameworks, module design, version control, CI validation, and drift/compliance management., • Advanced AWS networking design expertise: VPC architecture, routing, segmentation, NACL/security posture, VPN/Direct Connect, DNS fundamentals, and traffic management patterns., • Security engineering depth: IAM design patterns, KMS/encryption strategy, audit logging, secure baselines, threat detection integration, and compliance control implementation., • Strong observability and reliability engineering skills: monitoring strategy, alert design, log/metric correlation, SLO/SLA awareness, and operational readiness practices., • Advanced automation/scripting proficiency (Python/Bash/PowerShell), with ability to build operational tooling and integrate automation into pipelines and runbooks., • Ability to influence and communicate effectively with senior stakeholders, including translating complex technical risk/decisions into clear options and recommendations. You will be successful in this role if you have: Qualifications • Bachelor's degree in Computer Science / IT / Engineering (or equivalent practical experience)., • AWS Professional-level certification required: AWS Certified Solutions Architect - Professional and/or AWS Certified DevOps Engineer - Professional (or equivalent expertise) Good to Have / Desirable Skills • Enterprise AWS connectivity and multi-account design: Transit Gateway, Direct Connect, VPC endpoints/PrivateLink, landing zones, cross-account IAM and governance., • Strong AWS Systems Manager expertise (Automation, Patch Manager, Session Manager, Run Command, Inventory, Parameter Store) and standard runbook automation., • Security services experience: GuardDuty, Security Hub, AWS Config, AWS Shield; familiarity with vulnerability management and compliance reporting., • Experience operating regulated environments and implementing policy-as-code / guardrails at scale., • Experience with AWS-managed databases (RDS/Aurora/DynamoDB) including availability, monitoring, backups, and performance troubleshooting., • Strong CI/CD and GitOps maturity, including pipeline guardrails, change governance, and promotion strategies across environments., • FinOps maturity exposure: chargeback/showback inputs, cost governance, savings tracking, and continuous optimization operating model. Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) plan, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! #LI-AC1 This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' ___.

Job Description: The Storage Infrastructure Engineer will possess technical expertise and engineering skills and is considered a leading subject matter expert for designing technical infrastructure solutions involving, Cyber Vault Administration, Air gapped vault workflows, backup and data protection, Storage hardware, hypervisors, Storage Area Network, Network-attaching storage, and cloud solutions, with general knowledge of Servers and Networking. The successful candidate will play a key role in ensuring high availability, performance, security and compliance of Air Gapped backup systems, including active involvement in Business continuity and Disaster Recovery planning and testing Cyber Vault Engineer Job Description • Design, operate, and continuously improve cyber-resilient backup and recovery platforms. - Experience with Dell ECS, NetApp , PURE , Rubrik and Cohesity platforms ., • Lead recovery readiness (including cyber recovery playbooks and DR drills)., • Implement automation (Python/Ansible)., • Drive audit, compliance, and vulnerability remediation across a hybrid data center estate., • Partners closely with Security, Infrastructure, and Application teams to meet strict RPO/RTO and regulatory obligations., • Manage and migrate between systems and manage business complexity., • Architect and maintain end-to-end backup/recovery for mission-critical systems., • Define RPO/RTO per service tier and ensure continuous adherence., • Lead complex restores (file, DB, VM, application-aware), integrity verification, and forensics-assisted recovery during cyber incidents., • Create and maintain runbooks for cyber vault isolation, validation, recovery testing, and compliance evidence collection. Storage, Cyber Vault, data protection, air-gapped ransomware, Storage area network, backup Storage,Cyber Vault,data protection,air-gapped ransomware,Storage area network,backup Soft Skills: Problem-solving and troubleshooting in complex environments. Documentation and process design for disaster recovery. Collaboration with security, networking, and application teams. Expert Level This is a Contract to Hire position based out of New York, NY. The pay range for this position is $50.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. This group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The candidate must be hands-on with expert technical skills and a proven track record of project delivery. Responsibilities • Hands on development and support of new or existing data applications., • Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects., • Provide technical guidance to the team and work on implementing complex data solutions., • Provide support in the design, development, code reviews, test deploy and documentation of Data Engineering and Data Integration Applications., • Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments., • Provide technical leadership and mentor junior data engineers., • Work closely with Product Owners, Product Managers, Program Manager, Scrum Master, and Team Members in a Scaled Agile framework., • Closely monitor the health of data pipelines and develop contingency plans for failures., • Maintain detailed documentation to support downstream integrations., • 5-7 of experience in Data Warehousing, Data integration or Data Engineering projects, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Expert-level proficiency inPython, SQL, and Spark; strong experience withcloud platforms(Azure, AWS, or GCP)., • Expert level experience in Databricks and Delta Lake., • Proven track record of buildingenterprise-scale data platformssupporting advanced analytics and machine learning., • Experience withstreaming architectures(Kafka, Kinesis) andevent-driven data processing., • Strong knowledge ofdata security, encryption, and access controlin regulated environments., • Advanced working knowledge of SQL and optimizing queries and databases for performance., • Ability to debug and resolve complex issues internally and work with external vendors and service providers., • Good understanding and hands on experience in developing and managing CI/CD pipelines, • Good understanding of Data Structures and Data Models., • P&C Insurance experience is highly desired., • Bachelor's degree in computer science or related engineering field preferred., • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Hybrid Job Overview The Advanced Software Engineer designs, builds, and operates cloud-native web applications that power our business. This role blends strong technical skills with a collaborative mindset to deliver secure, scalable, and high-performance solutions on Microsoft Azure while continuing to grow technical depth and architectural understanding. Job Description and Requirements WhatYou'llDo * Design, develop, andoperatesecure, maintainable, and scalable web applications using object-oriented principles, modern architecture, and cloud-native patterns. * Build andmaintainsolutions for data migration and integration between systems, including workflow automation and data transfer processes. * Participate in design discussions, share ideas, and implement solutions that follow best practices for performance, reliability, and security. * Write clean, testable code and apply automated testing, static analysis, and observability tools to ensure reliability and maintainability. * Work across both front-end (modern JavaScript frameworks) and back-end (service-oriented systems built on .NET or similar) components. * Use microservices, containers, and managed Azure services (.NET, Cosmos DB, SQL Server, App Services, Docker) to deliver scalable cloud platforms. * Leverage AI-assisted coding tools (e.g., Copilot, Cursor) to accelerate development, reduce boilerplate, and focus on solving meaningful business problems. * Collaborate closely with peers, designers, and product managers through pair programming, code reviews, and shared design sessions. * Contribute todocumentation, help refine engineering practices, and learn from senior engineers to strengthen your craft. WhatWe'reLooking For * 3-5 years of professional experience building commercial-grade software and/or cloud-native applications. * Practical experience with cloud services, Docker, .NET, JavaScript, Cosmos DB, or SQL Server. * Solid understanding of object-oriented design, distributed services, and modern development practices. * Experience with data integration concepts, including ETL workflows and API-based integrations (prior experience with Relativity Integration Points is a plus, but notrequired). * Demonstrated ability to deliver solutions in collaborative, fast-paced environments. * Strong problem-solving, communication, and teamwork skills. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $103,000 and $155,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role As an AV Field Engineer, you will be responsible for overseeing the commissioning, staging, trouble shooting of audio-visual systems. This position will also provide technical leadership for the integration of complex AV solutions. Travel Requirements: This is a hybrid role is mixed with both remote, in office and onsite duties. In this role you may be expected to travel to client locations to carry out specific job functions, such as consultations, project implementation, troubleshooting and other job specific tasks. Responsibilities include: • The AV Field Engineer is charged with the responsibility of providing complete, full functional integrated audio-visual systems., • The Field Engineer position has two main focal points: Staging and Commissioning systems in the field to the point that these systems are ready for client sign off., • Interfaces with Project Manager, Solutions Architect, and client contacts., • Responsible for reviewing CAD documentation for staging and final mark up for record drawings., • Responsible for IP configuration of all AV devices residing on a network, • Responsible for filling out IP tables and storing these on the project server, • Responsible for communicating status updates to Manager, • Advanced capabilities for audio system setup and gain structure, • Advanced capabilities for video system setup, • Advanced capabilities for troubleshooting, • Responsible for managing versions and storing final commissioning documentation, • Works with the programmer to load, test, and troubleshoot code, • Assists installation technicians with field questions and clarifications, • Responsible for completing commissioning checklist and final documentation, • Responsible for rack testing and escalating and resolving issues with equipment, • Responsible for field testing and escalating and resolving issues with equipment and programs, • Maintain knowledge of vendor partner support systems for technical support, • Provide assistance to service technicians, • Responsible for continuous improvement on delivery and commissioning process and documentation, • Provide training on AV systems to clients, • Must be able to work well in a team environment, • Commercial worksites and office environment, • Travel to client project sites as required. Required Skills and Professional Experience • 5+ years of experience in AV Solution Implementation / Integration, • Bachelor's degree or equivalent experience and/or military experience preferred, • Avixa CTS-I Certification is preferred, • A thorough, demonstrable understanding of AV systems integration techniques, • Skilled in the programming of audio DSP units from multiple vendors, • Skilled in the loading of control system code and user interfaces, • Experience working with AV programmers to load code and commission systems, • Understands basic IP networking, • Experience with a variety of Audio Video products, • Typical manufacturers include but not limited to: Crestron, Cisco, Biamp, Extron, QSC, Shure, Poly/HP, Barco, MTR solutions, Samsung, LG, Planar, Vaddio, Sennheiser, • Experience with Collaboration platforms Required and can include: MS Teams, Cisco WebEx, Zoom, Google Meet, • Must meet safe driving policy criteria to be an active company vehicle driver, • Valid Driver's License required, • Travel required - Up to 15% Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Description Leidos is seeking an experienced Senior Delivery Engineer/Architect for our Resilient Network Practice. This position and work will be in Newark, NJ; open to candidates within a broader radius who can reliably travel to support onsite work in Newark. POSITION SUMMARY: The successful candidate will be responsible for providing hands on technical expertise with Mission Drivers within the Network Practice of the Digital Modernization (DigMod) Sector. As a Network Practice Sales Engineer/Architect , you’ll be a critical bridge between technical expertise and business development. Your role will focus on promoting Leidos Network solutions to federal clients, ensuring alignment with their needs and driving successful adoption of Leidos Mission Drivers. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience. CLEARANCE REQUIREMENT: No initial clearance is required to start; however, you must be able to obtain and maintain a DoD Secret security clearance. (US Citizenship required). PRIMARY RESPONSIBILITIES: Technical Expertise: • Maintain a deep understanding of network technologies (e.g., IaC, SD-WAN, wireless, NFV)., • Maintain a deep understanding of Leidos Network Mission Drivers and be able to articulate technical benefits, features, and use cases to potential clients., • Stay informed about network trends, competitive landscape and emerging technologies to effectively position Leidos capabilities and offerings., • Lead strategic initiatives to enhance the Leidos offerings portfolio, leveraging your deep technical knowledge and industry insights. Client Engagement: • Be the Network Practice Area technical Sales Engineer/Architect that works with Leidos DigMod Sector CTO, Business Groups and Growth to identify customer requirements and propose tailored solutions and offerings., • Direct, conduct and participate in technical presentations, demonstrations and workshops for government customers., • Work with DigMod CTO organization to leverage and create sandbox, demonstration environments for hosting Network Practice repeatable offerings., • Develop and maintain high-level relationships with key stakeholders and decision-makers to drive strategic opportunities and long-term partnerships., • Provide consulting and thought leadership to influence client decision-making and drive project success. Solution Architecture: • Partner with Leidos capture teams, solutions architects, and engineers to design secure, resilient, and scalable networking solutions that meet customer requirements, including MPLS-based transport, carrier-neutral facility interconnects, SD-WAN overlay architectures, and wireless access technologies, tailoring repeatable offerings accordingly., • Architect enterprise and mission-scale network solutions leveraging multi-cloud connectivity patterns, including hybrid and cross-cloud networking, secure cloud on-ramps, and integration with carrier-neutral data center ecosystems to support federal mission needs., • Design and oversee implementation of advanced segmentation strategies, including micro-segmentation and policy-based network controls, to enhance security posture, zero trust alignment, and workload isolation across on-premises, cloud, and edge environments., • Develop and implement innovative solutions to address complex technical challenges across multiple sectors, applying deep expertise in SD-WAN overlays, wireless technologies, and multi-transport networking using creative problem-solving and advanced technical judgment., • Architect and govern the delivery of enterprise-scale network solutions, ensuring alignment with organizational strategy, client mission objectives, and evolving technology standards., • Champion network architecture best practices and drive continuous improvement of Leidos Network Practice offerings based on market trends, emerging technologies, and client feedback., • Serve as the lead technical contributor for proposal and RFx efforts, with primary responsibility for solution architecture, technical narratives, and pricing inputs related to network transport, cloud connectivity, and security segmentation strategies., • Deploy, maintain, and demonstrate Network Practice Repeatable Offerings, including SD-WAN, multi-cloud connectivity, wireless, and micro-segmentation capabilities, to internal business areas and current and prospective customers. Collaboration: • Collaborate with practice area team members, client stakeholders, and external partners, including sub-contractors and suppliers, to ensure effective communication and project alignment., • Influence practice area and sector leaders on solution design and process improvements, advocating for strategic approaches and best practices., • Lead cross-functional teams to drive alignment and ensure the successful delivery of complex, multi-dimensional projects. BASIC QUALIFICATIONS: • Master’s degree with minimum of 15+ years in network architecture or engineering roles, with a robust background in designing, implementing, and optimizing solutions in network environments; additional years of experience may be substituted in lieu of degree., • Extensive experience in NMS, multi-transport, and infrastructure-as-code concepts., • Demonstrated expertise in designing and deploying scalable infrastructure incorporating cloud environments using both established and cutting-edge technologies., • Proven track record of resolving complex technical challenges in Network architectures., • Strong leadership skills with a successful track record of leading teams in the implementation of Network solutions, fostering collaboration and innovation., • Ability to effectively manage projects, prioritize tasks, and meet deadlines in dynamic Network environments. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $139,100.00 - $251,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime. This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment. The ideal candidate combines: • Strong security engineering and cloud architecture experience, • Deep, current familiarity with modern AI/LLM tooling and practices, • Familiar and can cover basic coding within the AI tooling space (python, others), • The ability to communicate clearly with senior leadership and influence enterprise-wide strategy Essential Duties and Responsibilities Secure AI / ML platforms and workloads • Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications., • Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads., • Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation., • Partner with data science and MLOps teams to harden:, • Data ingestion and labeling, • Training and fine-tuning pipelines, • Model registries and deployment workflows, • Inference APIs, agents, and integrations, • Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture. AI use case intake & governance • Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization., • Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards., • Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle., • Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams., • Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies. Monitoring, detection & assurance • Establish and maintain monitoring and detection for AI-specific threats, such as:, • Prompt injection and jailbreak attempts, • Data exfiltration and sensitive data exposure, • Misuse or abuse of AI tools and agents, • Anomalous model or pipeline behavior, • Integrate AI/ML systems with existing logging, SIEM, and incident response processes., • Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification. Strategy, leadership & enablement • Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk., • Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments., • Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress., • Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems. Qualifications Expected for Position • 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems., • 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems., • Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries., • Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring., • Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred., • Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption., • Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership. Preferred Qualifications: • Practical experience securing LLM- and genAI-based systems, such as:, • RAG architectures backed by internal data, • AI assistants, copilots, or agents integrated with enterprise tools, • Fine-tuned models and model hosting platforms, • Experience with AI IDE tools, • cursor, windsurfer, others, • Knows the security problems and has practical solutions that balances innovation with innovation., • Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools)., • Experience with:, • Security for data pipelines, feature stores, and model registries, • Detection engineering or SIEM tuning for AI-related events, • Red-teaming or adversarial testing of AI systems, • Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks)., • Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports., • Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus., • Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape., • High level of integrity and ethical conduct. This role is a fit if you: • Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects., • Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems., • Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation., • Can move fluidly between deep technical discussions and concise, executive-level explanations. This role is not a fit if you: • Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work., • Do not actively engage with current AI/LLM tooling, research, and emerging practices., • "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?", • "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?", • "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?" The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Job Title: Senior Software Engineer Duration: 6+ months (CTH) Location: hybrid (Newark, NJ) Summary As a Senior Software Engineer on the Retirement Strategies Technology team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to deliver quality platforms and products with speed.? You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is What You Can Expect on a Typical Day Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments?? Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?? Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact? Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems?? Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day?? Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. Use programming languages including but not limited to Java, JavaScript, Springboot, Node.js frameworks? The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering or experience in related fields Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization?? Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: Programming Languages:? Java, Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring,, Microservices, multi-threading, Concurrency and parallel processing Frameworks:?Springboot, Node.js Data Store:?NoSQL or Relational Data structures; Data Streaming:?SQS, SNA Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SQL API Management & Integration : Kong, Apigee Unit, interface and end user testing?concepts and tooling (functional & non-functional) Automated testing Accessibility awareness Software security skills?including?secure coding, web application security and ; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) Dev Ops Tools & Practices: Branching techniques and usage of GitHub; DevOps Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services across compute, storage, DB, IAM Preferred Qualifications: Strong experience with Domain Driven Development (DDD) AWS cloud native solution development Architecture Patterns Design and critical Thinking Financial/Insurance industry experience is a must, not a plus People Leadership Experience is a plus. Experience with agentic frameworks and AI driven development tools is a major plus [Claude Code, GitHub Copilot etc]

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory. This role is designed for a technically strong but strategically minded individual who thrives in customer-facing engagements. The Systems Engineer will act as a trusted advisor, guiding large enterprise organizations through cybersecurity transformation initiatives that span SecOps, Zero Trust, cloud, and network security. Responsibilities • Partner with sales to qualify opportunities, define solution strategy, and align technical capabilities with customer business outcomes., • Lead discovery sessions, workshops, and security assessments that uncover operational and architectural requirements in complex enterprise environments., • Design and present secure architectures that incorporate networking, cloud, and SecOps components., • Serve as the primary technical expert in sales cycles, guiding enterprise accounts through evaluation and decision processes., • Advise on cybersecurity strategies such as Zero Trust, SASE, cloud security, and SecOps modernization., • Build and maintain long-term trusted relationships with C-level executives and senior leadership, positioning yourself as a strategic advisor., • Support smooth deployment transitions by working closely with professional services, support, and customer success teams., • Provide roadmap guidance, operational reviews, and strategic check-ins to reinforce customer value realization., • Continue as a trusted advisor to enterprise leadership, ensuring ongoing alignment of their evolving needs with solution capabilities. Required Skills & Experience • 5-8 years experience in pre-sales or systems engineering roles in enterprise-scale cybersecurity, networking, or cloud environments., • Strong understanding of networking (LAN/WAN, routing, switching, VPNs, TCP/IP) and core security protocols (IPSec, TLS/SSL, PKI, SAML, OAuth, RADIUS, etc.)., • Ability to articulate and design solutions across:, • SecOps modernization (SIEM, SOAR, XDR), • Zero Trust and SASE architectures, • Cloud and hybrid security (IaaS, SaaS, containerized workloads), • Identity and access management (MFA, SSO, PAM), • Excellent presentation, communication, and storytelling skills-capable of engaging both deeply technical audiences and executive decision-makers., • Proven track record of leading architectural discussions and aligning technical solutions with business priorities at the enterprise level. Preferred Qualifications • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)., • Industry certifications such as CISSP, CCSP, or vendor-specific credentials (e.g., NSE, CCNP Security, AWS Security Specialty)., • Experience in consulting or advisory roles for large enterprise customers, especially in CISO/CIO-level conversations., • Familiarity with compliance and security frameworks (MITRE ATT&CK, NIST CSF, ISO 27001, SOC 2). Why Join Us This is an opportunity to operate at the intersection of cybersecurity strategy, executive engagement, and customer success, influencing large-scale enterprise organizations as they modernize operations and adopt cutting-edge solutions. If you excel at combining technical depth with executive presence, this role will allow you to shape customer outcomes while growing your career in a dynamic security landscape. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $235,000 - $375,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data intelligence Software as a Service leadertrusted by legal teams, governments, and enterprises around the world. Our platform powers investigations, litigation, and compliance for some of the most complex data challenges. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. With a culture that values curiosity, collaboration, and continuous learning, this is your chance to join a company that combines thestability of an established leaderwith theenergy of a startup. Job Description and Requirements What We Do At Relativity, engineersdon'tjust write code-they shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs,identifiesconfidential information, and detects languageindicatingmisconduct.We'rereimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. We are looking for a Principal Engineer to help define and build our next generation of cloud-native platform systems.This person willhelp shape our strategy for how we support internal and external customers'integration needs in a cloud-native, multi-tenant environment. Ifyou'repassionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace. WhatYou'llDo * Deliver critical business value by solving complex problems that span teams and organizations. * Design and build architecture that is flexible, performant, and efficient to the needs of the business. * Prioritize capabilities over features, plan for change and abstract complexity away from dependent teams. * Partner with fellow leaders toidentifyproblems and align on their nature; solve these problems withelegant,scalablesolutions. * Be respected as a technical leader of your domain,demonstratingdeepexpertise,collaboration,andstrong business acumenwhileembodyingengineering excellence. * Set enterprise standards for system flexibility, maintainability, security, testability,andreliability;work with teams to implement them. * Influence and align engineering execution with company-level strategywhile shapingexecutive-level product and platform decisions. * Collaborate daily with a diverse group of teammates and product partners to solve problems & deliver value. Mentor engineers,leaders,and executives. * Be an awesome teammate whodemonstratescuriosity and continuous learningwhileshapingeengineering culture atscale. WhatWe'reLooking For Required * 12+ years of experienceowning,buildingandshaping large-scale, cloud-native platforms. * Experience defining organization-wide technical standards. * Deep involvement in security, compliance, and reliability strategy. * Ability to align technical vision with company-level strategy. * Proven influence at senior and executive levels. * Exceptional mentorship, communication, and strategic thinking skills. Nice to Have * Background in legal tech, AI-enabled platforms, or regulated domains. * External thought leadership or industry contribution. * Familiarity with AI development tools like GitHub Copilot, Cursor or Claude Code. * Experience working in global or highly distributed organizations. WhyWe'reAGreatFit forYou * Impactful Mission:Organize Data, Discover theTruthand Act on It -Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. * Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. * Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership. * Inclusive Environment: Diverse backgrounds and perspectives make us stronger. * Community Impact:Volunteer opportunities and company-sponsored charitable programs. * Compensation & Benefits:Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annualcompany breaks,home office stipend, and an equity program. When you join Relativity,you'renot just taking a job-you'recontributing to a mission that matters.You'llwork alongside talented professionals across the globe, tackle complex challenges at scale, and Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $210,000 and $314,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Agile Methodology, Algorithms, Automation, Distributed Systems, Mentorship, Problem Solving, Software Architectures, Strategic Planning, System Designs, Technical Leadership

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Network Engineer to join our team to support our client base in (Carolinas) region. This individual will lead small to large projects on their own or as part of a team, which includes planning, design, and implementation of complex network and security engagements. This is a consultative role providing network engineering services on project work and effectively managing the implementation process from design to customer acceptance. Travel Requirements: In this role you will be expected to travel up to 25%. Responsibilities include: • Primary responsibilities include performing project-based engineering, design, staging, installation, validation, testing, and troubleshooting of data/security networks, • Lead complex, large-scale Network and Security projects, • Create low-level detailed designs that align with the business strategy, the customer's budget, and operational support capabilities., • Network discoveries, • Perform Network and Security Assessments, • Presenting documentation and engagement deliverables to customers, • Collaborating as part of a multi-functional team with Sales, Pre-Sales, Project Management, and other delivery/engineering resources, • Trouble resolution of complex issues and assisting team members in solving problems with their deployments., • Working with junior members of the engineering team to successfully implement secure network solutions, • Experienced expert with complex multi-protocol routing and switching solutions, • Various security parameters and harden access to devices, • Core Routing and Switching platforms with a focus on design, configuration, and troubleshooting using Cisco Best Practices, • Network design and applications, including designing IP addressing, • OSPF, BGP, EIGRP. Redistribution of protocols and loop prevention, • TCP/IP protocol stack, TCP/IP headers and packets, the OSI model, and commonly used TCP/UDP ports and associated services, • Strong level in routing and switching troubleshooting, • Solid verbal and written communication skills, • Bachelor's Degree or equivalent experience and/or military experience, • Cloud Networking Experience, • AWS, Azure, GCP in Networking context, • Aviatrix, • Experienced deploying at least one SDWAN Solution with Viptela, Silverpeak, or Palo Prisma SDWAN, • Cisco ISE, • Experienced in implementing security solutions such as:, • Palo Alto Networks Product Portfolio, • Panorama, • Prisma Access, • Prisma Cloud, • Cisco Security Product Portfolio, • Firepower / FTD Firewalls, Meraki MX: Configuration, tuning, troubleshooting, • FMC Management, • Fortinet Product Portfolio, • FortiGate FWs, Forti Manager/Forti Analyzer, • Arista Networking solutions, including Cloud Vision, • Aruba Product Suite, • Experience with Aruba CX and Aruba OS software, • VSX and VSF technologies, • High availability configurations, • Automation / Scripting: Python, EMM and TCL, • Active Cisco certification; CCNP, CCIE Preferred, • Active Palo Alto certification; PCNSA, PCCSE, PCNSE Preferred, • 5+ years of related project implementation experience. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position The Principal Platform Engineer (DevOps / Developer Experience) is a senior individual contributor who accelerates platform delivery by pairing strong software engineering with deep platform/operations expertise. This role sets the technical bar, works collaboratively across cross teams, and delivers reusable patterns that improve delivery speed, reliability and developer productivity. Essential Duties and Responsibilities Accelerate Top Priorities * Act as a technical "force multiplier" on the highest-priority initiatives; clarify approach, resolve ambiguity, and drive work to completion with high quality and pragmatic trade-offs. * Reduce cross-team friction by defining clear interfaces, breaking work into deliverable increments, and enabling parallelization through strong architecture boundaries. Raising Engineering Standards * Establish and model best practices for engineering excellence: design docs/RFCs, architecture reviews, code review discipline, and effective automated testing strategies. * Drive API-first and "platform as a product" behaviors: define and promote consistent platform interfaces that reduce bespoke integrations and siloed solutions. Build Paved Roads * Create reusable platform capabilities (templates/modules/golden paths) that reduce reinvention and speed up delivery for teams. * Drive automation opportunities (including agentic/AI-enabled workflows) that improve operational and delivery efficiency. Improve Operational Excellence * Lead cross-cutting improvements that enhance stability and reduce toil: observability standards, alert hygiene, incident learning loops, and resilience patterns. * Partner with operations and platform stakeholders to measurably improve reliability outcomes and reduce operational drag on platform delivery teams. Partner and Mentor * Coach senior/staff engineers by pairing on real work, running reviews, and teaching pragmatic system-level thinking. * Set clear examples of technical leadership, collaboration, and accountability without formal people management responsibility. On-call Participation * Participate in the on-call rotation and contribute to restoration, root cause learning, and prevention. Required Qualifications * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 15+ years of hands-on software engineering designing, building, testing, deploying and operating large-scale distributed systems in cloud-native environments. * 5+ years operating at Staff or Principal scope, leading multi-quarter, cross-team technical initiatives that span 3+ teams and deliver organization-level outcomes. * 8+ years of experience designing and operating microservices-based systems, including API design and versioning, authentication and authorization frameworks (e.g. OAuth, OIDC, IAM), and Infrastructure-as-Code (e.g. Terraform, Cloudformation, ARM) * Deep hands-on experience (5+ years) in at least three of the following: Kubernetes and container orchestration platforms, public cloud infrastructure (AWS/Azure/GCP), CI/CD systems and deployment automation, Infrastructure-as-Code and configuration management, and production operations, reliability tooling and on-call systems. * Demonstrated ownership of production systems supporting business-critical workloads, including participation in incident response, post-incident reviews, and reliability improvements at scale. Preferred Qualifications * Proven ability to operate as a self-directed technical leader, navigating ambiguity, defining problem spaces, and driving clarity and alignment across multiple teams. * Demonstrated success influencing technical direction across globally distributed teams and multiple levels of the organization without formal authority. * Strong written and verbal communication skills, with the ability to translate complex technical concepts for engineering, product and executive audiences. * Experience designing or evolving internal platforms or self-service capabilities that materially improve developer experience, delivery throughput, or operational efficiency. * Strong background in observability (metrics, logs, traces), incident management, and reliability practices, with a track record of improving system health and reducing operational toil. * Deep understanding of performance optimization, system resilience, and observability in high-scale production environments. * Experience working in regulated industries such as healthcare or fintech, including familiarity with compliance-driven architectural and security considerations. * Familiarity with healthcare data standards (e.g. FHIR, HL7) and platform security best practices. The base salary range for this position is$180,000 - $210,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example. Essential Duties and Responsibilities * Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners. * Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production. * Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow. * Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs. * Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI. * Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently. * Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up. * Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data. * Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap. * Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority. * Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk. The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs. Supervisory Responsibilities No Required Qualifications * Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable. * 7+ years of experience in software engineering. * Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling. * Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs. * Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support. * Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns). * Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response). * Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs. * Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality. * Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders. * Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews. Bonus Qualifications * Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations. * Experience with Azure and containerized deployments (or similar cloud-native environments). * Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams. * Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores). The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. #LI-SS2 #LI-Remote We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role.You'llwork closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value.You'llown problems end-to-end-from discovery through production. This is a hybrid technologist and trusted advisor role.You'llembedwith client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'llownproblems end-to-end. What You'll Do: Client Engagement * Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows andidentifyAI opportunities * Lead discovery conversations to uncover pain points and scope solutions * Present recommendations to both technical and executive stakeholders Solution Design & Architecture * Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents * Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches * Design systems that integrate with existing client infrastructure Hands-On Building * Write production code-Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.) * Build RAG systems, agentic workflows, and custom AI applications * Own the full stack from data ingestion to user interface Rapid Prototyping * Build working prototypes in days/weeks, not months * Validate value quickly with real users and real data * Iterate based on feedback and measured outcomes Production Deployment * Take solutions from prototype to production * Ensure reliability, security, and maintainability * Support ongoing optimization and enhancement Contributors to your success: * 7+ years of software engineering experience, ideally with client-facing or consulting exposure * Strong programming skills in Python; experience with TypeScript/JavaScript a plus * Hands-on experience building with LLMs (GPT, Claude, etc.)-RAG, prompt engineering, fine-tuning, or agentic systems * Experience taking AI/ML projects from prototype to production * Excellent communication skills-can explain technical concepts to executives and collaborate with non-technical stakeholders * Comfortable with ambiguity-can scope problems, make decisions, and own outcomes end-to-end * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience * Experience in financial services, private equity, or real estate * Background at a startup (especially as early engineer) or consulting firm * Experience with data pipelines, ETL, and working with messy enterprise data * Familiarity with cloud platforms (AWS, Azure, GCP) * Experience with vector databases, embeddings, and semantic search About Chatham Financial: Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit___. Chatham Financial is an equal opportunity employer.

Role Overview: The Cloud Security Engineer is responsible for deploying, managing, and securing cloud solutions across AWS, Azure, and Google Cloud platforms. This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud security projects, migrations, and integrations. The Cloud Security Engineer is expected to have hands-on experience managing cloud services in a hybrid environment, with a strong focus on implementing and maintaining robust security controls. In addition to technical responsibilities, the Cloud Security Engineer will engage with both internal colleagues at all levels within the firm and external stakeholders, ensuring seamless communication and coordination on cloud security matters. The Cloud Security Engineer will stay informed on emerging cloud security technologies and will translate information security policies into operational processes, continuously enhancing the security posture of the organization. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Designs and engineers secure cloud solutions leveraging Google Cloud, AWS and Azure IaaS, PaaS, and SaaS, with a focus on security best practices., • Researches, designs, and implements new cloud security technologies to enhance Cornerstone's cloud security posture., • Supports applications hosted in cloud environments, ensuring they meet stringent security standards., • Deploys and develops cloud cost management, budgeting, and expensing capabilities, with an emphasis on security aspects to control unauthorized access and expenditures., • Manages and reports on cloud costs, identifying and reporting unusual expenditures with a focus on security implications., • Conducts periodic audits of accounts, permissions, and access rights for cloud services in compliance with security policies., • Builds and maintains strong relationships across IT teams, fostering collaboration on cloud security issues., • Performs periodic gap analyses against current and future security requirements to improve cloud security measures; recommends relevant improvements., • Administers and supports secure connectivity to cloud services, ensuring encrypted and protected data transfers, using AWS Direct Connect and Azure Express Route., • Monitors daily maintenance event logs for cloud-based environments and addresses any noted issues., • Maintains security patches in alignment with industry best practices., • Creates and maintains cloud-related security policies and procedures in partnership with the Director, Information Security., • Creates and maintains cloud security operational documentation and training materials for use by IT staff. What You'll Need to Be Successful: • 8+ years of experience in cyber security roles required, with professional services experience preferred., • Extensive experience supporting and administering AWS, Azure, Google Cloud and O365 cloud environments., • Experience with cloud security implementations, migrations, and integrations within secure frameworks., • Familiarity with programmatic means of cloud security administration, such as cloud APIs and CloudFormation Templates on AWS, with a focus on secure configuration., • UNIX/Linux experience with a strong exposure to server administration., • Bachelor's degree in a relevant field or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar)., • Additional security related IT certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Boston: $141,400 - $171,500 Chicago: $134,00 - $162,500 Los Angeles: $140,400 - $170,300 New York: $143,800 - $174,400 San Francisco: $154,200 - $187,000 Washington, D.C.: $138,800 - $168,400 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Full-Stack Engineer contributes across front-end and back-end to deliver performant accessible, and scalable digital experiences. This position will work closely with a small agile technical team while collaborating with content and marketing stakeholders to support a broad range of web initiatives. Incumbent should be comfortable writing code, informing technical direction, and working with both technical and non-technical collaborators to deliver practical solutions. The role supports a component-driven and decoupled architecture that connects multiple content sources through a unified API, employing edge rendering and performance techniques to deliver fast, consistent experiences. Depending on experience and interests, work may focus on front-end development with React and Next.js, building edge-layer and back-end services in Node.js or Go, or customizing Drupal using modern object-oriented PHP. The engineer takes ownership of the parts of the stack where the most value can be contributed while developing skills across adjacent areas over time. This is a hands-on role for someone who enjoys building modern web experiences and the systems that support them, from user interfaces to integrated data and service layers. The engineer helps shape platform capabilities, contribute to automated workflows, and thoughtfully harness opportunities to integrate AI into both development processes and user-facing experiences. Responsibilities Essential Duties: Platform & Application Development • Partner with content and marketing teams to deliver clear, actionable solutions., • Build and maintain modern, component-driven user interfaces in Next.js, React and TypeScript, with opportunities to contribute to back-end services in Node.js, PHP, or Go, depending on experience and team needs., • Design and implement a scalable API gateway that unifies content and data from Drupal and external service providers., • Contribute to automated code release and deployment operations, balancing reliability and velocity., • Monitor application health, log performance insights, and support continuous improvement efforts., • Integrate AI tools and services into developer workflows, content systems, and user-facing features, helping shape platform capabilities and automated workflows., • Collaborate with infrastructure and security teams to ensure compliance with CUIMC privacy and data-protection requirements., • Uphold accessibility guidelines, web standards, and internal best practices across user experience, performance, reliability and security., • Share full-stack knowledge and best practices with teammates during code reviews, architecture discussions, and sprint retrospectives., • Offer peer-to-peer feedback and support to foster a collaborative, inclusive engineering culture., • Partner with designers, content creators, infrastructure, and IT colleagues to align on priorities and ensure a smooth hand-off across front end, back end, and deployment workflows., • Assist in onboarding new team members by walking them through the application architecture, API patterns, and development/deployment processes., • Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience., • At least three years of experience developing web applications, either as a full-stack engineer or with deep specialization in one or more of the following:, • Modern JavaScript frameworks such as React, Next.js, and TypeScript., • Drupal CMS and modern object-oriented PHP., • Back-end services or edge-layer delivery systems using Node.js or Go., • Proficiency in building component-based interfaces and modern styling methodologies, with experience using design systems and tools such as Storybook., • Hands-on experience developing API-first architectures, integrating multiple data sources into a single, consistent content delivery interface., • Familiarity with headless content management systems such as Drupal and delivering content through structured web service protocols such as JSON API, GraphQL, or REST., • Experience building or consuming back-end services using technologies such as Node.js, PHP, or Go., • Strong understanding of edge rendering, caching strategies, and techniques for optimizing performance across devices and networks., • Experience with continuous integration and delivery practices, including automated testing, dependency management, and modern version control workflows (e.g., Git, Yarn)., • Comfort with command-line tooling, containerized environments (e.g., Docker, Lando), and developer operations fundamentals., • Familiarity with observability practices including logging, monitoring, and performance tracing., • Solid grasp of accessibility standards, secure coding practices, and established web development conventions., • Exposure to AI-assisted development tools and enthusiasm for integrating AI into both user and developer experiences., • Proactive and solution-oriented, focused on moving projects forward and turning challenges into actionable outcomes., • Comfortable taking ownership of work from idea to execution, contributing to shared goals while coordinating effectively with the team., • Collaborative mindset with the ability to communicate clearly with both technical and non-technical stakeholders., • Strong attention to detail, with a commitment to quality, clarity, and long-term maintainability., • Thoughtful about user experience, accessibility, and the human impact of technical decisions., • Master's degree in computer science, engineering, or a related field., • Background working in higher-education, healthcare, or other complex, multi-stakeholder environments., • Understanding of SEO fundamentals, structured data, and web analytics tools to improve discoverability and performance monitoring. Columbia University is committed to the hiring of qualified local residents.

Job Title: Full Stack Engineer Duration: 6 months (Contract to Hire) Location: Newark, NJ (Hybrid 3 days/week) Summary We are seeking talented and motivated Full Stack Engineers at various levels to join our growing technology team. The ideal candidate will be proficient in both front-end and back-end development, with strong problem-solving skills and a passion for building high-quality, scalable software solutions. Key Responsibilities • Design, develop, test, and deploy full-stack applications, • Build efficient and reusable front-end and back-end systems., • Collaborate with product managers, designers, and other engineers to define and deliver new features., • Develop APIs and microservices using modern frameworks and tools., • Ensure application performance, security, and scalability., • Maintain clear documentation and follow best practices in coding and design., • Programming Languages: Java, JavaScript, Python, • Frameworks & Tools: React, Angular, Node.js, Spring Boot, Spring Batch, • Databases: DynamoDB, DB2, Oracle, PostgreSQL, • Other Skills: RESTful API development, version control (Git), CI/CD,, • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)., • Proven experience in full-stack development (front-end and back-end)., • Strong understanding of software development life cycle (SDLC) and Agile methodologies., • Excellent communication and teamwork skills. Ability to adapt to new technologies and learn quickly.