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Job ID: 715747BR Date posted: Jan. 28, 2026 Description:What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work This position is for an experienced professional engineer to become a member of the Solid State Radar Active Electronically Scanned Array (AESA) Subsystem Engineering team. This engineer will support the development of radar/antenna manager applications for deployment on real-time hardware. The engineer will have the opportunity to design and document antenna processing hardware/software architectures, design and analyze processing algorithms, perform modeling and simulation, and develop and execute test plans. The engineer will work on cross-discipline teams of systems, hardware, software, firmware, and test engineers while supporting all phases of development from concept through customer qualification testing. This position requires a U.S. DoD Security Clearance at the SECRET level. This position is located at a facility that requires special access. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicated to pushing the boundaries of what's possible. Learn more about IWSS Why Join Us Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's comprehensive benefits package here! Explore some of the cutting‑edge technologies we support: #REAS Basic Qualifications: • BS Degree in Electrical Engineering, computer science, or Electrical and/or Computer Engineering, • Experience with requirements development and performance analysis, • Experience with MATLAB, DOORs, MBSE, • Experience testing processing hardware and/or software, • Understanding application of Design Patterns, • Experience with GIT, • Experience with Code Optimization, • 1LMX IBM tools including Rhapsody, DOORS Next Generation, and Jazz, • Self Motivator and able to communicate effectively Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full time employees: accrue 10 hours per month of Paid Time Off (PTO); receive 40 hours of Granted PTO annually for incidental absences; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of PTO per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO is prorated based on hours worked and start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Other Type: Full-Time Shift: First

Field Engineer Location: Elmhurst, NY 11371 Onsite /W2 Experience with MAC/ Windows / PC refresh/ Deployment. • Responsible for a broad scope of operational support and install, move, add, and change (IMAC) requests supporting the IT infrastructure in office environments, reservation centers, and airport locations., • '-Provides service and customer support during field visits or dispatches., • -Diagnoses errors or technical problems and determines proper solutions., • -Produces timely and detailed service reports. -Documents processes., • -Collects and analyzes performance data to provide technical assistance., • '-Ties workflow to schedule -Accurately documents solutions related to complex issues, • -Creates workaround procedures when standard procedures have failed and ensures issues are resolved, • -Troubleshoots and develops technical solutions related to software and setup errors for field engineers, technicians, and customers, • -Builds positive relationships with customers Will wait for your response. Vishnu Singh Email : Phone : 470 451 0404

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

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Design Engineer (SDE) is a lead member of the core team for each Media & Entertainment (M&E) project. The SDE provides direction and oversight through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical authority on a project team, the SDE is instrumental in the determination and execution of client and system requirements and will collaborate with M&E SME teams as required. The SDE is also responsible for mentoring other design engineers on the project team. Reporting to a Regional Director of Project Engineering, the SDE's project assignments are determined by Operations Leadership based on enterprise-wide demands. As the final sign off on project bill of materials prior to purchasing, the SDE is responsible for vetting products and making detailed equipment decisions. As the technical leader on a project, the SDE has the authority to recommend direction on scope changes and programming and commissioning activities. The SDE will also be responsible for approving drawing packages being done by other design engineers as well as supervising them in their work. While this is a virtual position day-to-day, it supports Diversified clients in the NYC/ NE US region; as such we require the candidate to reside in that geography. What You'll Do: • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • May be required to regularly lead teams on large projects., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • 7+ years of experience, • Demonstrated knowledge of broadcast technology, equipment, facilities, and production systems used in the Media and Entertainment / Broadcast industry. Formats include high-definition, UHD and HDR video systems deployed using analog, SDI and SMPTE 2110 IP transport protocols., • Understanding of TCP/IP routing, ACL's, QoS, VLAN's and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A thorough, demonstrable understanding of the construction process, installation, and integration as well as architectural and construction drawings and specifications., • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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.

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. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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 Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Design Engineer (SDE) is a lead member of the core team for each Workplace (WKP) project. The SDE provides direction and oversight through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical authority on a project team, the SDE is instrumental in the determination and execution of client and system requirements and will collaborate with SME teams as required. The SDE is also responsible for mentoring other design engineers on the project team. Reporting to a Regional Director of Technical Operation the SDE's project assignments are determined by Technical Operations Leadership based on enterprise-wide demands. NOTE - while this is a virtual position day to day, it does involve periodic (up to 25%) onsite presence at customer sites concentrated in the New England region - primarily Boston, Hartford and Stanford. As such, residing in (or a willingness to relocate to) this region is a requirement for this job. What You'll Do: • Leads complex engagements and works directly with clients and project teams to develop budgets, timelines and manage expectations., • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • May be required to regularly lead teams on large projects., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Provide technical expertise and oversee the creation of and later reconciliation of the complete construction drawing package, support documentation for installation and coordination with architect and other trades., • Collaborate with engineering, operations, and product teams to identify requirements for cloud-based solutions that meet the needs of our live broadcast production and post-production workflows., • Design and architect cloud-based solutions for live broadcast production workflows, channel playout, and content delivery, • Work with cross-functional teams to ensure that solutions are optimized for cost, performance, and reliability., • Provide technical guidance and mentorship to other team members., • Experience building complex networking infrastructure on premises., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • Provide regular project engineering milestone status updates to Technical Operations resource planning., • Maintain expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums., • Develop expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums. Complexity: The Senior Design Engineer works with the Regional Directors on resource assignment. This role is primarily billable in a post-sales capacity, though there are times when the SDE will work on presales estimation and design efforts. Decision Making Authority: As the final sign off on project bill of materials prior to purchasing, the SDE is responsible for vetting products and making detailed equipment decisions. As the technical leader on a project, the SDE has the authority to recommend direction on scope changes and programming and commissioning activities. The SDE will also be responsible for approving drawing packages being done by other design engineers as well as supervising them in their work. Physical Working Environment: The physical demands described here are representative of those that may be met by an employee. Work will normally be performed within normal office conditions and/or home office depending on location of SDE. On occasions the employee may be exposed to construction site conditions. Employee will be responsible for their safety while on job sites and to comply with all safety regulations in place by the GC. Use of PPE is usually required on job sites. The employee can typically spend at least 50% of their time on their feet and be required to mobile around the construction site. The individual is regularly required to use keyboards, test equipment and controls required for SI installation projects. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Travel: Occasional travel by car and occasional airplane trips are required. Employee must possess a valid driver's license in their state of residence. Employee will be required to use their own vehicle and will be reimbursed for mileage at the current corporate rate. Local travel to job sites (within a 2 hour driving distance each way) will make up 90% usually but remote travel can be up to 30% of the job at times. <10% remote travel is required on a regular basis. What You'll Bring: Education & Certifications: • High school diploma or GED required, • Proficient in AutoCAD and MS Office 365, • Certifications or training with at least one DSP platform (Biamp, QSC, Clearone, etc), • Certifications or training with at least one control system (Crestron, Extron, AMX, etc), • Other relevant certifications may be required or preferred based on the technology focus of the position. Required Skills/Qualifications: • AVIXA CTS certification is required, • 8+ years' experience in technical systems designing, • Familiarity with audio DSPs, networked audio systems, and transport protocols including 2110-30, AES-67, Ravenna, and Dante, • Understanding of TCP/IP, ACL's, QoS, VLAN's, and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A clear understanding of construction project phases Program, Conceptualization, Schematic Design, Design Development, Construction Documentation, Construction and Commissioning., • Must reside in - or be willing to relocate to - the San Francisco Bay area of California. Preferred Skills/Qualifications: • AVIXA CTS-D is highly desired, • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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.

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". We are seeking a highly skilled and experienced Senior Software Engineer with expertise in Azure Cloud and .NET technologies. The ideal candidate will have a strong background in software development, cloud computing, and leadership. This role involves designing, developing, and maintaining cloud-based applications, as well as leading a team of engineers to deliver high-quality software solutions. Responsibilities • Lead the design and development of cloud-based applications using .NET technologies., • Collaborate with cross-functional teams to define, design, and ship new features., • Ensure the performance, quality, and responsiveness of applications., • Mentor and guide junior engineers, providing technical leadership and support., • Troubleshoot and resolve complex technical issues., • Bachelor's degree in Computer Science, Engineering, or a related field is preferred., • 5+ years of experience designing and developing complex applications, • Experience in C#, .NET, API development, and SQL, • Experience with cloud-first architectures and related Azure services, e.g. Container Apps, API Management / App Gateway, Key Vault, App Services, Logic Apps, SQL MI, • Familiarity with modern cloud-native patterns principles, e.g. Twelve-Factor Apps, Service Oriented Architectures / microservices / REST, DevOps, Continuous Deployment, and Site Reliability Engineering, • Understanding of Infrastructure-as-Code patterns and related technologies e.g. Bicep, ARM, Terraform, • Excellent problem-solving skills and attention to detail., • Experience acting as a technical leader and mentor to other software engineers or developers., • Experience working on agile teams and release trains, and knowledge of SAFe, is preferred, • Strong communication and leadership skills., • Experience with Angular is a plus 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.

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Forward Deployed Engineer (AI / Healthcare) Location: New York, NY (Hybrid) Compensation: $150,000 – $190,000 base + variable + equity Type: Full-time About the Role We’re hiring a Forward Deployed Engineer to sit at the intersection of AI, product, and real-world healthcare delivery. This is a high-impact, customer-facing engineering role where you’ll deploy AI-powered solutions into complex healthcare environments, build custom integrations, and directly influence product direction. You won’t just ship code—you’ll own outcomes. If you’re someone who thrives in fast-moving environments, enjoys working directly with customers, and is deeply hands-on with modern AI tools, this is the kind of role where you can accelerate quickly. What You’ll Do • Partner directly with enterprise healthcare clients to deploy AI-driven solutions and ensure successful adoption, • Build and ship custom code (approx. 70% hands-on engineering) to support unique customer implementations, • Design and implement integrations, workflows, and AI agents (including voice or automation tools), • Act as the technical bridge between customers and internal product/engineering teams, • Translate real-world usage into product feedback and help shape the roadmap, • Support project coordination, timelines, and stakeholder communication, • Travel occasionally (1–2 weeks per quarter) for on-site implementations What We’re Looking For • 1–5 years of experience in a hands-on engineering or technical implementation role, • Strong experience working with modern AI tools (LLMs, agents, automation platforms, etc.), • Proven ability to build and deploy real-world AI-powered solutions (bonus for voice agents or similar systems), • Experience in customer-facing technical roles (solutions engineering, forward deployed, implementation, etc.), • Healthcare implementation experience strongly preferred (or other regulated industries like fintech/legaltech), • Strong communication skills—you can translate technical concepts to non-technical stakeholders, • High ownership mindset; comfortable operating in ambiguous, fast-paced environments Nice to Have • Startup or early-stage experience (founder or founding engineer mindset is a plus), • Experience working across distributed or global teams, • Background deploying software into complex operational environments What Makes This Role Different • Direct exposure to real-world AI deployment—not just internal tooling, • High autonomy and ownership from day one, • Tight feedback loop between customer usage and product development, • Opportunity to shape how AI is applied in healthcare at scale Additional Details • Hybrid role based in New York City (in-office presence expected most days) Interview Process • Intro conversation with leadership, • Technical exercise, • Panel interview, • Final interview (in-person for NYC-based candidates)

If you're offered a seat on a rocket ship, don't ask which seat. Just get on. This is one of those seats. We backed an early-stage company that's growing faster than anyone expected. They need their first Forward Deployed Engineer in New York to serve as the technical bridge between a Bay Area engineering team and customers across North America and Europe. This isn't a support role. You'll be involved in architecture discussions, scoping sessions, and sales meetings, often as the only technical person on the call. You'll own the customer relationship from the first deployment conversation through production and beyond. When the customer's engineering team has questions, you answer them. When a deal requires a technical deep dive, you lead it. When something breaks, you fix it. The role sits at the intersection of FDE and Sales Engineering. The company is lean enough that these responsibilities can't be separated yet, so you need to be capable of doing both. What the job actually involves: The founder handles the first sales call. After that, it's you. You join follow-up meetings that get technical, covering scoping, integrations, architecture walkthroughs, and capability questions from the customer's engineering team. You learn the product well enough to eventually operate independently of the founder. Once a customer is deployed, you own that relationship entirely. You'll travel as needed. This isn't a consulting road-warrior role, but when a customer needs on-site presence, you'll go. The New York location is important because there are plans for a small office there, and the East Coast timezone provides real overlap with European customers. What we're looking for: • Autonomous by nature., • Prioritizes communication over code., • A builder who ships., • Comfortable with ambiguity at every level. Stage: Seed I will provide more details once we connect.

Hi, This is Rajkumar from Lorven Technologies Inc. Our client is looking for a DLT Engineer (Tokenized Deposits) at Charlotte,NC (Hybrid) It’s a Long Term contract Kindly share your updated resume to proceed further. Role: DLT Engineer (Tokenized Deposits) Location: Charlotte,NC (Hybrid) Duration: Long Term Contract Job Description: • Bachelor’s or Master’s degree in Computer Science Information Security or equivalent experience, • Must have a 4 to 8+years in software engineering with 2 years in blockchainDLT, • Strong Experience with Hyperledger Fabric R3 Corda Quorum Besu or private Ethereum, • Strong backend skills in Java Go Kotlin or Nodejs, • Good Understanding of token models fungible tokens UTXOaccount models mintburn flows, • Good Knowledge of payments systems and banking flows ACH RTP SWIFT ISO 20022, • Good Experience building microservices and secure APIs, • Must be Familiarity with Kubernetes CICD GitHub and cloud deployment, • Expertise in security best practices for ML pipelines data security and model governance, • Familiarity with security frameworks eg NIST ISO 27001., • Design and implement DLT based components for tokenized deposits issuance mintburn transfer settlement, • Develop smart contracts or chaincode governing deposit tokens, • Integrate the DLT ledger with existing bank systems core banking KYC AML payments, • Build REST APIs and microservices required for tokenized flows, • Ensure compliance with financial grade controls including identity privacy and auditability, • Collaborate with payments engineers architects and security teams, • Troubleshoot distributed ledger issues optimize performance and support production grade networks, • Contribute to interoperability efforts with CBDCs stablecoins and interbank token systems, • Strong analytical problem-solving and communication skills

Staff ML Engineer New York, New York - hybrid $225,000 - $250,000 + bonus + LTI; $500,000-$700,000 total THE COMPANY Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field., • Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience combination of big tech and scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents

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

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___.

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.

Title: Forescout Engineer Compensation: approx $60-70/hr potential flex for those more experienced/higher level/etc Duration: 6mo, extensions/conversions to FTE possible Type: W2 only Location: New York NY 10016 Schedule/Onsite: 1 day per week, or 4 days per month Interview Process: 2-3 Rounds Start Date: 2-3 weeks after offer acceptance, approx end of April 2026 Required Skills & Experience • Minimum of 3-5 years of hands-on experience with Forescout implementation and management for an enterprise environment, • Proficiency in routing and switching technologies, • Strong understanding of network protocols and security principles, • Experience with network configuration and management tools, • Excellent analytical and troubleshooting skills. Plusses • CCNP Certified Relevant certifications such as Forescout Certified Administrator (FSCA) or Forescout Certified Engineer (FSCE), • Bachelor's Degree Job Description Insight Global Health is looking for a Forescout Engineer for an enterprise healthcare organization in New York City. He/She will be responsible for the implementation and management of Forescout solutions. This candidate will ensure the seamless integration and optimal performance within the network infrastructure. Responsibilities will include but not limited to: • Lead the deployment and configuration of Forescout solutions across the network, including setting up policies, device classification, and network segmentation., • Create and maintain templates for Forescout implementation to ensure consistency and efficiency., • Ensure that all switches and network devices are enrolled with the correct configurations, including VLAN assignments, access control lists (ACLs), and port security settings., • Navigate and manage the Forescout platform to monitor and maintain network security, including real-time monitoring, alerting, and reporting., • Provide expert knowledge and oversight during the deployment phase to ensure successful implementation, including pre-deployment assessments, network readiness checks, and post-deployment validation., • Integrate Forescout with existing network infrastructure, including firewalls, routers, switches, and other security appliances., • Develop and enforce security policies within Forescout to ensure compliance with organizational standards and regulatory requirements., • Diagnose and resolve issues related to Forescout implementation and network configurations, including connectivity issues, policy violations, and device compliance., • Maintain comprehensive documentation of configurations, processes, and procedures, including network diagrams, implementation guides, and troubleshooting manuals., • Work closely with network engineers, security teams, and other stakeholders to ensure cohesive and secure network operations, including conducting training sessions and knowledge transfer

HumanEdge is seeking a skilled Server Engineer to support a healthcare client. This role is responsible for the overall management and support of the server environment, including virtual servers, ensuring stability, performance, and security across the platform. Key responsibilities include building and maintaining servers to established standards, monitoring performance, capacity planning, vulnerability management, disaster recovery support, and driving continuous improvements within the infrastructure. The Server Engineer will also contribute to long-term strategic planning for the server environment. The ideal candidate will bring strong technical expertise, excellent problem-solving abilities, and the interpersonal skills needed to collaborate effectively while managing multiple priorities. ESSENTIAL JOB FUNCTIONS • Provide hands-on deployment of server-based Hospital IT, • solutions., • Perform in-factory and on-site racking and cabling, software, • installation, systems configuration, systems verification, etc., • Install, configure, and tune Linux software applications and software-, • defined solutions., • Test and troubleshoot hardware, software, and network issues., • Participate in Hospital solutions development as it relates, • to implementation and deployment of server-based systems., • Participate in the development and delivery of documentation and, • training for Hospital technical system solutions., • Participate in growing Hospital technical expertise through, • peer education, informal mentoring, and other means., • Ownership of the Windows Server asset inventory throughout Maimonides, • Health infrastructure on-prem or hosted., • Oversee the installation, configuration, and maintenance of Windows, • server-based virtual machines and stand-alone servers., • Troubleshoot and assist in the repair of Active Directory, Windows, • Servers, Cluster Services, DNS, Backup, and other operational systems, • as needed., • Analyze Windows server environments for performance and capacity, • planning., • Recommend improvements to existing server deployments to increase, • efficiency and end-user satisfaction., • Document strategies, designs, policies, procedures, and status using, • clear, consistent, and concise language., • Ability to be on-call for assigned rotation., • Working knowledge of network devices (switches, routers, firewalls) is a plus. BASIC QUALIFICATIONS • 5+ years’ experience supporting high-traffic mission-critical systems, • running on Windows Server operating systems., • Working fluency with ITIL framework and processes, certifications a, • plus., • High proficiency with the configuration and administration of, • supporting Windows system components (Domain Controllers, DFS, DHCP,, • DNS, WINS)., • Practiced skills on virtualized platforms (such as VMWare and Hyper-V), • and Windows Clustering., • Senior-level knowledge of Windows Active Directory domain, domain, • integration, and interaction with the network, Group Policies, Active, • Directory Trusts, Anti-Virus applications, etc., • Proven track record of achieving results working through outsourced, • vendor partners., • Working knowledge of Windows Automation tools, practices, and, • techniques., • Proven troubleshooting skills with the ability to independently research, • and resolve problems., • Demonstrated track record of implementing automation and alerting., • Ability to perform proactively and effectively in a fast-paced, • environment., • Ability to maintain high quality of work while supporting multiple, • mission-critical projects., • Working knowledge of network devices (switches, routers, firewalls) is, • a plus., • Working knowledge of storage devices (SAN, NAS, DAS) is a plus., • Excellent interpersonal and communication skills (both oral and, • written) with the ability to clearly communicate complex messages to a, • variety of audiences., • Proven competency to effectively interact at all levels across the, • organization, working to build and maintain successful relationships, • across all departments., • Proven consultative, conflict resolution, negotiation and facilitation, • skills to gain consensus and ensure delivery of initiatives., • Self-starter with a strong work ethic, who sets high standards for, • self and others, and demonstrates enthusiasm for the mission of the, • team.

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities., • Make it about others. We do what’s best for our customers and collaborate to drive progress., • Make it happen. We work with intention toward a common purpose and forge ways forward together., • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Principal Engineer POSITION LOCATION New York, NY YOUR ROLE We are seeking a highly experienced and driven Principal Software Engineer to lead the modernization of our Assessment platform. This role requires deep expertise in modern software development practices, a passion for emerging technologies, and the ability to provide strong technical leadership and mentorship. You will play a critical role in shaping the future of the platform, ensuring it is scalable, resilient, secure, and maintainable for long-term growth. What you will be doing • Responsibilities, • Architect and implement a modern Assessment platform using technologies such as TypeScript, React, React Native, Flutter, and GraphQL., • Establish and champion best-in-class engineering practices to ensure systems are modular, scalable, resilient, and flexible., • Define and enforce coding standards, architectural patterns, and quality metrics to maintain high engineering standards., • Lead technical design discussions, perform code reviews, and provide hands-on guidance across the engineering team., • Design and implement CI/CD pipelines and contribute to DevSecOps practices., • Contribute to platform hosting, deployment, and runtime strategies, ensuring reliability and performance at scale., • Deliverables / Results, • A modernized, production-ready Assessment platform supporting both B2B and B2C use cases., • Well-documented, maintainable codebases aligned with agreed architectural standards., • Consistent, repeatable deployments enabled by standardized CI/CD pipelines., • Improved system performance, reliability, and scalability across web and mobile platforms., • Strong technical foundations that support future feature development and platform expansion., • Impact / Value Add, • Raise the technical bar across the organization by modeling engineering excellence and best practices., • Reduce long-term technical debt through thoughtful architecture and disciplined execution., • Accelerate delivery by enabling teams to build on a stable, scalable platform., • Improve customer and partner experiences through reliable, high-quality applications., • Enable the business to confidently scale assessments, integrations, and transaction volumes., • Ownership, • Own the technical vision and architecture of the Assessment platform., • Serve as a key decision-maker for technology choices, architectural trade-offs, and implementation approaches., • Take accountability for platform quality, performance, and long-term sustainability., • Identify and proactively address technical risks, scalability challenges, and architectural gaps., • Collaboration, • Partner closely with Product Managers and business stakeholders to translate requirements into robust technical solutions., • Collaborate with engineering peers, mobile and web teams, and shared services to ensure architectural alignment., • Mentor and coach engineers, fostering a culture of learning, quality, and continuous improvement., • Work cross-functionally with security, infrastructure, and operations teams to support platform reliability and compliance. What you bring • Perspective, • A systems-level mindset with the ability to balance short-term delivery needs against long-term architectural health., • Strong product and business awareness, enabling you to align technical decisions with customer, partner, and organizational goals., • An ownership-oriented approach that views platform reliability, scalability, and maintainability as shared, long-term responsibilities., • The ability to anticipate technical risks and proactively design solutions before issues surface at scale., • Qualities, • Hands-on technical leader who leads by example and is comfortable operating at both strategic and implementation levels., • Curious, pragmatic, and outcomes-driven, with a passion for continuous learning and improvement., • Clear and confident communicator who can influence technical direction across teams and stakeholders., • Resilient and adaptable in fast-moving environments, with a strong bias toward action and accountability., • Collaborative mentor who elevates the capabilities and confidence of other engineers., • Education, • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • Advanced degree is a plus but not required., • Skills, • Expert-level proficiency in modern application development, including:, • TypeScript, Node.js, Next.js, • React, React Native, Flutter, • Swift and Kotlin, • Strong experience designing and consuming GraphQL and REST-based APIs., • Deep understanding of database design and performance, with hands-on experience using PostgreSQL and MongoDB., • Experience building and maintaining CI/CD pipelines and contributing to DevSecOps practices., • Strong knowledge of mobile application delivery across iOS and Android, including release and store lifecycle management., • Familiarity with event-driven and asynchronous systems, including messaging and queue-based architectures., • Experience integrating with third-party platforms such as SSO providers, payment systems, and eCommerce services., • Competencies, • Platform and systems architecture, • Technical decision-making and trade-off analysis, • Code quality, testing strategies, and maintainability, • Performance, scalability, and reliability engineering, • Security-aware design and implementation, • Technical mentorship and engineering excellence, • Cross-team technical alignment and influence, • Experience, • 10+ years of professional software development experience, with a significant portion in senior, staff, or principal-level roles., • Proven success delivering large-scale, high-impact platforms in production environments., • Experience building B2B APIs, B2B portals, and assessment or transaction-based systems., • Hands-on experience with real-time or near-real-time systems, including video or communication platforms., • Experience building and operating mobile applications with demonstrated adoption and quality outcomes., • Track record of partnering effectively with product, design, and business stakeholders to deliver meaningful results. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • Competitive Compensation & Total Rewards Incentives, • Comprehensive Healthcare Coverage, • Multiple 401(k) Savings Plan Options, • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!), • Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave, • Disability, Life, and Long Term Care Insurance, • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support, • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management), • Caregiver and Mental Health Support Services

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 ___.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a highly skilled Service Engineer to support our Global Service network and contribute to building a world-class field engineering organization. This role requires flexibility to work in a data center and call center environment, providing technical support via phone and web to customers experiencing hardware and software issues. This position will be based in our office located in Jersey City, NJ. Includes the following essential duties and responsibilities (other duties may also be assigned): Why This Role Matters This position plays a critical role in ensuring customer satisfaction by providing timely and effective technical support. As a key part of our Global Service network, you will troubleshoot issues, deploy hardware solutions, and contribute to a seamless customer experience. Your expertise will directly impact the efficiency and reliability of Supermicro's service operations. What You'll Do • Provide frontline technical support to end-users via phone, email, and ticketing system., • Diagnose and troubleshoot hardware, software, and network-related issues., • Escalate complex problems to higher-level support teams when necessary., • Perform physical installation, rack and stack, cabling, and networking of data center hardware., • Assist in the deployment of server, storage, and networking equipment., • Monitor and maintain data center infrastructure to ensure optimal performance and uptime., • Perform regular maintenance and upgrades on data center hardware and software., • Collaborate with data center staff to address and resolve technical issues., • Conduct quality checks and test system functionality post-installation., • Work with internal teams to gather client requirements and provide technical expertise during the post-sales process., • Coordinate with the engineering team to ensure seamless integration of hardware solutions., • Ensure compliance with data center policies and procedures., • Document and report data center activities and incidents., • Travel up to 50% of the time to customer sites and data centers., • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering; or an Associate's degree in Electrical/Electronics Engineering with equivalent relevant experience., • 1+ year of experience in servicing complex X86 systems and parts., • 1+ years of experience in a customer support role., • Strong hardware system diagnostics skills and understanding of BIOS, drivers, and application-related issues., • Ability to troubleshoot, problem-solve, and make decisions in a fast-paced environment., • Experience with statistical Excel functions or database management., • Ability to manage multiple cross-functional projects concurrently in a rapidly changing environment., • Hands-on experience with enterprise-grade server hardware., • Strong verbal and written communication skills with an emphasis on technical communication., • Punctual, detail-oriented, and proactive in driving solutions., • Experience working in large enterprise environments or certifications in Windows and Linux., • Must have a valid driver's license and a reliable automobile., • Ability to lift/carry at least 50 lbs, • Capable of standing for extended periods to troubleshoot and repair equipment in a noisy environment (approximately 20% of the time) Please note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location. $70,304 - $90,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

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.

We are seeking a Tier 2-3 Desktop Support Engineer to provide advanced technical support in a Windows-based enterprise environment. This role handles escalated desktop issues, supports complex troubleshooting efforts, and works closely with infrastructure, cloud, and security teams. The ideal candidate has deep Windows expertise, strong problemsolving skills, and experience supporting both end users and enterprise systems. • Provide Tier 2 and Tier 3 support for Windows 10/11 endpoints, resolving complex hardware, software, and OS-related issues., • Troubleshoot advanced issues related to Active Directory, Group Policy, Azure AD, and user authentication., • Support Office 365 applications including Outlook, Teams, OneDrive, and SharePoint, addressing performance, access, and integration issues., • Perform advanced workstation imaging, deployment, patching, and configuration using tools such as SCCM, Intune, or MDT., • Diagnose and resolve issues involving endpoint security tools, antivirus/EDR agents, and compliance policies., • Troubleshoot networking issues at the desktop level including DNS, DHCP, VPN, and WiFi connectivity., • Support hybrid cloud and onprem Windows environments, collaborating with server, cloud, and network teams as needed., • Create and maintain technical documentation, SOPs, and knowledge base articles., • Mentor Tier 1 and Tier 2 technicians and assist with problem management and root cause analysis., • 4+ years of desktop support experience, including Tier 2 and Tier 3 escalation support., • Strong expertise supporting Windows 10/11 in an enterprise environment., • Hands-on experience with Active Directory, Azure AD, Group Policy, and Office 365., • Experience with imaging, deployment, and endpoint management tools (SCCM, Intune, MDT)., • Solid understanding of networking fundamentals and endpoint security best practices., • Experience with PowerShell scripting for automation and troubleshooting., • Exposure to endpoint security platforms (Defender for Endpoint, CrowdStrike, etc.)., • 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.

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___.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. 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. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. 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___.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. 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 Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Commissioning Engineer (CX) is a key member of the post-sales Engineering group within the Electronic Security Systems (ESS) team, serving as lead engineer on commercial & federal design projects. The CX supports programming and commissioning project lifecycles, from initial sales concepts after design development, construction documentation, and construction administration. Acting as a technical resource, the CX engineer ensures client and system requirements are met and collaborates with cross-functional teams to deliver effective solutions. The role is supported by Solutions Architects and Team Supervisor, with guidance provided by the Director of ESS Engineering. The CX will hold both primary and supporting responsibilities on complex ESS projects and reports directly to the Director of ESS Engineering. What You'll Do: • Conduct pre-deployment testing and validation of electronic security systems to ensure readiness for field deployment., • Perform quality reviews of security drawings and documentation to support accurate and efficient installation., • Complete site surveys and captured field conditions using Bluebeam to inform design and installation activities., • Configure security hardware, including assigning camera IP addresses, updating access control board firmware, uploading Cisco switch configurations, and programming door devices within access control software., • Diagnose and resolved issues with cameras, access-controlled doors, and network switches to maintain system performance., • Configure security intrusion systems, DMP and Bosch environments., • Develop and/or maintain ACS, VSS, IDS programming matrix documents that are used for field and system functionality., • Apply drawing markups in Bluebeam and maintained detailed programming sheets for device configuration and tracking., • Lead system commissioning efforts in collaboration with customer testing representatives to verify full system functionality., • Manage concurrent project tasks while maintaining timelines, documentation accuracy, and technical quality., • Communicate complex technical information clearly to stakeholders through both written and verbal channels, • Occasional travel to client sites is required to resolve project escalations and provide customer consultation. 25-50% Travel. What You'll Bring: Education & Certifications: • High School Diploma/ GED, • Associates Degree or equivalent experience preferred Required Skills/Qualifications: • 5-7 years' experience as a Commissioning Engineer in an Electronic Security environment, • Proven experience leading engineering efforts within ESS domains such as access control, video surveillance, and intrusion detection systems., • Strong understanding of system integration, project engineering processes, programming and commissioning processes, and field-to-office feedback loops., • Skilled in process improvement methodologies, technical governance, and cross-functional coordination., • Effective communicator with the ability to engage internal teams, vendors, and executive stakeholders., • Analytical mindset with ability to interpret performance data, identify trends, and drive strategic improvements., • Demonstrated ability to coach, mentor, and lead engineering teams in a dynamic and evolving environment., • Experience managing vendor relationships and coordinating enterprise-level technology training., • Strong organizational and time management skills with a focus on operational efficiency and documentation quality., • Must be able to function in loud and professional environments., • Must be able to function in construction environments. Desired Skills/Qualifications: • Strong Security Systems, Information Technology, or related field preferred., • 5-7+ years of experience in ESS systems design, integration, or engineering required., • Familiarity with platforms such as Lenel, CCure, DMP, Honeywell, Brivo, Milestone, ExacqVision, Eagle Eye, Axis, and Hanwha., • Industry certifications in access control or video surveillance (e.g., Lenel, Milestone, CCure 9000, DMP etc.) are a plus., • Experience with enterprise-level networking and IP-based ESS system architecture., • Experience with Bluebeam Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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 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.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines 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. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools 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:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 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.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. 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:$216,200—$270,250 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.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications We are seeking a motivated Technical Support Engineer (TSE) to join our team. TSE's are responsible for resolving complex technical issues that go beyond the scope of first-line product support. This role involves both remote troubleshooting and on-site support at customer locations, requiring deep system knowledge and sound judgment in applying broadly defined practices and policies. Key Responsibilities: * Independently resolve advanced system-level issues in mechanical, electrical, and electrochemistry domains. * Detail system problems and coordinate with the service organization to drive resolution. * Collaborate with Applications and Engineering teams to determine optimal solutions. * Host and driveService Alert Meetings (SAM)to address critical service issues. * Document technical findings and problem-solving processes in8D formatpostmortem reports. * SupportContinuous Improvement Projects (CIP)and contribute to procedural enhancements. * Develop and refineBest Known Methods (BKMs)and training materials. * Act as a technical liaison fornew product developmentinitiatives. * Assist withsystem installations and upgrades, ensuring smooth deployment and integration. * The position requires 20-30% travel domestically and internationally Minimum Qualifications * 5 years of related experience with a Bachelors degree; or 3 years experience with a Master's degree; or PHD without work experience; or equivalent experience Base Pay Range: $41.69 - $70.87 Per Hour Primary Location: USA-NJ-Totowa-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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 Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. 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$100,000—$120,000 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.

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' ___.

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 Locations US-NJ-Paramus ID 2026-1963 Category Information Technology Type Regular Full-Time The Senior Manager, Commercial IT Data Engineer is a hands-on technical role responsible for designing, building, and maintaining enterprise data integrations and commercial data pipelines supporting life sciences operations. A strong foundation in SQL and relational data modeling is essential, as the role will regularly analyze, validate, transform, and optimize large commercial healthcare datasets. This role supports Snowflake analytics environments, IQVIA data ingestion (including Xponent, DDD, Prescriber/HCP, HCO, OneKey reference data, and affiliation datasets), and master data platforms including Reltio (preferred) or equivalent MDM solutions. The position partners closely with Commercial Operations, Data Operations, and managed service vendors to ensure reliable, scalable, and audit-ready data flows. Success in this role requires deep expertise in Reltio and/or on-premise MDM platforms, a strong understanding of Master Data Management principles, data governance, and data quality practices. Advanced SQL skills, experience with ETL tools, and familiarity with metadata management and data integration best practices are essential. Strong analytical thinking, problem-solving, and troubleshooting capabilities are also critical. Design, develop, and maintain enterprise data integrations across CRM, MDM, Snowflake, and external data providers. • Write, optimize, and troubleshoot complex SQL queries to support data ingestion, transformation, reconciliation, and validation., • Build and support ingestion pipelines for IQVIA datasets including Xponent prescription data, DDD datasets, OneKey reference data, Prescriber (HCP), and HCO data., • Process and integrate IQVIA affiliation datasets to support healthcare provider-to-organization relationships and hierarchy mapping., • Use SQL to investigate data issues, reconcile commercial datasets, and validate transformation logic., • Develop scalable Snowflake data models optimized for large commercial healthcare datasets., • Implement source-to-target mappings for IQVIA files including deciles, specialty alignment, territory mapping, brick-level data, and affiliations., • Support customer master alignment between IQVIA datasets, CRM platforms (e.g., Veeva), and Reltio or Informatica MDM platforms., • Support master data governance processes including survivorship rules, crosswalk mappings, golden record creation, and hierarchy management., • Develop automated validation, reconciliation, and monitoring controls for prescription, prescriber, and affiliation data., • Review vendor-delivered integration logic and SQL transformations to ensure scalability, performance, and maintainability., • Troubleshoot integration failures, transformation issues, API exchanges, and Snowflake performance bottlenecks., • Maintain Dev/Test/Prod deployment discipline and version control best practices., • Document transformation logic, SQL validation procedures, data lineage, and IQVIA file processing standards to support audit readiness., • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred. Certifications in Snowflake, SQL, data engineering, or MDM platforms are a plus., • 3-7 years of hands-on data engineering or data integration experience within life sciences, pharma, or biotech., • Strong SQL expertise with ability to write complex queries, troubleshoot data issues, and optimize query performance., • Direct experience working with IQVIA commercial datasets including Xponent, DDD, Prescriber (HCP), HCO, OneKey reference data, and affiliation files., • Understanding of healthcare commercial data structures including prescriber hierarchies, affiliations, specialties, deciles, territory alignment, and brick-level geography., • Experience supporting enterprise data integrations using ETL tools, APIs, or file-based exchange processes., • Experience with Snowflake or other cloud data warehouse platforms., • Experience supporting or integrating with Reltio MDM (preferred) or equivalent master data platforms., • Experience with migrating from Informatica MDM to Reltio MDM is a plus., • Understanding of data stewardship practices and master data governance principles., • Strong debugging, reconciliation, and root cause analysis capabilities.

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 We are seeking an AI Engineer - Data & AI Platform to architect, build, and operationalize scalable generative AI and machine learning solutions across Snowflake, Databricks, and modern MLOps ecosystems. This role will partner with data scientists, ML engineers, and platform teams to design and deploy end-to-end AI/ML pipelines, advance AI integration, and ensure production-grade reliability for AI-driven products. The ideal candidate has 8+ years of experience in AI/ML engineering, with deep expertise in generative AI deployment, API-based AI services, large-scale data processing, and AI lifecycle management. The AI Engineer will not only deliver hands-on technical solutions but also set technical direction, mentor other engineers, and drive innovation across Teladoc's AI platforms. Essential Duties and Responsibilities * Operationalize GenAI and LLM applications, leveraging RAG (retrieval-augmented generation), vector search, prompt engineering, agentic AI, and MCP (Model Context Protocol). * Lead the design, development, and deployment of production-grade LLM and ML pipelines, including data transformation, feature engineering, training, tuning, and serving. * Architect scalable data and AI workflows on Snowflake, Databricks, and Azure ML, integrating AI models with modern data lakehouse platforms. * Build and maintain API-based AI services (FastAPI, Flask), enabling secure, performant, and reliable model access at scale. * Define and implement CI/CD pipelines for GenAI and ML services, using GitHub Actions/Azure DevOps, MLFlow, and container orchestration (Kubernetes, Docker). * Develop and enforce MLOps/LLMOps best practices, including experiment tracking, model versioning, observability, and governance. * Mentor ML engineers and data scientists on engineering rigor, scalable design, and production-readiness. * Partner with cross-functional teams to integrate AI services into products, ensuring security, compliance, and resilience in regulated healthcare environments. * Troubleshoot production AI systems, analyzing inference latency, drift, and performance issues, and implementing preventive solutions. * Document and communicate architecture patterns, operational standards, and AI development frameworks across the organization. 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, Machine Learning, or a related field; equivalent work experience is acceptable. * 8+ years of experience in AI/ML engineering roles, with proven success in architecting and scaling production LLM/GenAI and ML systems. * Experience deploying LLM and GenAI solutions including RAG, vector database integration, and agentic/toolaugmented LLM systems (LangChain, MCP, or similar frameworks) * Experience with Snowflake or Databricks, using one or both as core platforms for data processing or AI/ML workloads. * Proven track record in MLOps/LLMOps, including CI/CD pipeline automation, model serving, monitoring, and governance, using modern AI infrastructure tools such as Docker, Kubernetes, Azure ML, MLflow, and Terraform. * Proficiency in Python and SQL, with experience processing highvolume datasets using bigdata tools such as Spark or equivalent distributed systems. * Ability to collaborate in cross-disciplinary teams (engineering, product, compliance, security) and deliver impact in regulated industries. Bonus Qualifications * Excellent communication skills to articulate complex GenAI/ML concepts to diverse audiences. * Strong leadership and mentorship abilities, fostering technical growth across teams. * Understanding of API-driven AI development, including Python-based API frameworks (FastAPI, Flask) or equivalent experience working with API development workflows. * Certifications in Snowflake, Databricks, Azure ML, or AI/ML platforms preferred. * Experience in healthcare AI applications and regulated AI deployment. The base salary range for this position is$170,000 - $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. #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 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 Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Associate Applied AI Engineer supports the development, deployment, and maintenance of artificial intelligence applications for the Columbia University Irving Medical Center (CUIMC). This role contributes to the design and implementation of AI-enabled solutions that support administrative, research, clinical, and educational operations across the institution. Working closely with senior engineers and cross-functional teams, the Junior Engineer assists in building applications that leverage large language models (LLMs), retrieval-augmented generation (RAG), automation frameworks, and machine learning techniques. This role focuses on implementing AI solutions, supporting application deployment, and ensuring systems operate securely, efficiently, and in alignment with institutional policies and governance standards. Responsibilities Essential Duties: AI Development and Implementation • Design, develop, and maintain AI-enabled applications utilizing retrieval-augmented generation (RAG) techniques to enhance knowledge discovery, automate workflows, and support decision-making across CUIMC operations., • Build scalable AI tools and services that integrate with ___CUIMC administrative, clinical, research, and educational systems., • Develop rapid proof-of-concept prototypes to evaluate ___new technologies and demonstrate solution feasibility to stakeholders., • Troubleshoot AI applications and assist with diagnosing and resolving technical or performance issues in development or production environments., • Monitor emerging developments in artificial intelligence, machine learning frameworks, and generative AI technologies relevant to healthcare and higher education., • Prototype solutions using open-source tools and AI platforms present demonstrations or findings to internal stakeholders., • Support the design and deployment of AI solutions that prioritize privacy, transparency, security, and ethical use of data., • Adhere to CUIMC policies related to data governance, compliance, and institutional review requirements., • Partner with engineers, analysts, data scientists, and institutional stakeholders to design and implement AI-enabled solutions., • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Statistics, or equivalent combination of education and experience., • Minimum 4 years of professional experience in software engineering, artificial intelligence, machine learning, data engineering, or ___a related technical field., • Experience with at least one programming language commonly used for AI or application development (e.g., Python, JavaScript, TypeScript, Java, or C#)., • Experience developing, testing, and maintaining software applications, data pipelines, or AI-enabled solutions., • Strong analytical and problem-solving skills with the ability to translate technical concepts into practical solutions., • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or ___a related discipline., • Experience developing applications that leverage large language models (LLMs), generative AI tools, or retrieval-augmented generation (RAG)., • Familiarity with AI development frameworks or orchestration tools such as LangChain, LlamaIndex, or similar technologies., • Experience deploying applications or machine learning workflows in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure., • Exposure to AI platforms such as Amazon Bedrock, Google Vertex AI, or Azure AI Studio., • Experience working with natural language processing (NLP), data extraction, or analytics involving structured and unstructured data. Columbia University is committed to the hiring of qualified local residents.

Job Description We are looking for a Onsite Desktop Support Engineer to provide technical assistance to our clients. You will help install, upgrade and troubleshoot hardware and software systems. If you’re computer-savvy and enjoy supporting end users, we’d like to meet you. To succeed in this role, you should have a problem-solving attitude along with the ability to give clear technical instructions. You should also be familiar with remote troubleshooting techniques. Ultimately, you will ensure prompt and accurate customer service and increase client satisfaction. Note: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. This position may requires onsite presence and travel to project / client location/s Responsibilities • The Onsite Desktop Support Technician role is to provide a single point of contact for local office end users to receive support and maintenance within the organization's desktop and laptop computing environment, • This includes installing, diagnosing, repairing, maintaining, and upgrading all hardware and equipment (including but not limited to PC, terminals, printers and scanners) to ensure efficient workstation performance, • The person will also solve problem areas (in person) in a timely and accurate fashion and provide end-user assistance where required, • Monitoring queues for incidents or requests that require resolution, • Escalate to L3 team /Vendors in case assistance is required to resolve any issue, • Isolate system issues; diagnose standard software issues & report hardware issues to respective Vendors, • Prioritizing work based on the impact and urgency of the ticket, • Maintain compliance to Client policies and guidelines like desktop/laptop naming conventions, laptop building/rebuilding checklist, surrender, disposal (Kill Disks/Degauss), • For open tickets requiring spares and accessories and work closely with asset management team in coordinating them, • Incident lifecycle management not limited to documenting work notes, attaching relevant knowledge and detailing incident resolution, • Fulfilment of Service Requests where necessary, • Track and report status of IMAC requests, • Verify completion of IMACs, • Enable end user / equipment Installs, Moves, and changes (IMAC) Requests, • Install new or enhanced functions or features: hardware, software, peripherals and configurations (e.g., peripheral upgrades, system reconfigurations, special requisition installations), • User Data Transfer on need basis, • Hardware support to desktops, laptops (Windows/Mac.), Thin clients (Windows and Linux), Printers, Scanners, • Hardware imaging, deployment, and repair management services, • When de-installing equipment, de-tag equipment, erase and dispose of data and information residing on hard drives, strip for disposal, update in the asset tracking system that the equipment has been de-installed and disposed of, and prepare the equipment to the vital 3rd party for collection and disposal, • Steady State Asset Refresh (Does not include project activity of bulk device replacement), • Assist asset management team in sharing the IMACs for new installations, movement on floors and carrying out physical verification activities, • Replacement of consumables for network printers and reporting issues to the appropriate vendor, • VIP Support (white glove service), • Inventory management and labelling of devices within Client office environment, • Handling shipping and receiving requests for movement of end devices within Client office Requirements • Proven work experience as a Desktop Support Engineer, Technical Support Engineer or similar role, • Hands-on experience with Windows/Linux/Mac OS environments, • Working knowledge of office automation products and computer peripherals, like printers and scanners, • Knowledge of network security practices and anti-virus programs, • Ability to perform remote troubleshooting and provide clear instructions, • Excellent problem-solving and multitasking skills, • Customer-oriented attitude, • No minimum qualification as long as you have experience

Job DescriptionDesktop/Workstation Design EngineerEmployment Type: Full-Time, ExperiencedDepartment: Information Technology CGS is seeking an experienced Desktop/Workstation Design Engineer to participate in architecture discussions, system reviews, design planning, and technology roadmap planning for current and future desktop integration efforts. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Acts as the Subject Matter Expert for the development and implementation of the Desktop Operating System (OS) Images. - The candidate engineers’ robust solutions for large-scale deployment of software using OS deployment technologies such as Microsoft Endpoint Configuration Manager (MECM) and the Microsoft Deployment Toolkit (MDT). - Develops tests and implements software distribution packages, to include updates to software applications to be applied to desktops, laptops, tablets, and servers used within the enterprise. - Provides information and recommendations to meet various user-based software requirements. - Strong familiarity with scripting languages such as Powershell and VB script. - Implements server OS deployment methodologies to include automated server build processes. - Provides support for an OS patching infrastructure such as HCL BigFix or Windows Update/MECM that applies mandatory security updates to enterprise systems. - Analyzes, evaluates, and recommends desktop, laptop, tablet, and server hardware. - Performs security related tasks which include, documentation, vulnerability scan review, assessment support, patch management, and auditing as required. Qualifications:- The ideal candidate for this position will possess experience with integrating and upgrading desktops and laptops from the Windows 7 operating system to Windows 10 operating system, upgrading Microsoft and 3rd party applications, and have experience with litigating software such as Ipro and Concordance. - The ability to work independently with only minor guidance is a must. Our team is engineering a Windows 10 image on an Intel based system which will be integrated with Microsoft Exchange 2013, Microsoft Office 2013, and various 3rd party applications. · Windows OS engineering experience· Understanding of the application of security controls on the image· Microsoft Office engineering experience· Integrating anti-virus applications in an image· VPN/Remote access (Cisco Secure Access with RSA a plus)· Windows Scripting experience· Good writing skills Ideally, you will also have:- VB and/or VBA coding experience a plus· VDI/Citrix experience· SMS/SCCM experience a plus· Understanding of PKI· VMWare experience· Litigating software such as Ipro and Concordance Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are seeking a Junior Engineer with a strong interest in improving the way engineers build, test, deploy and maintain software. You will work closely with our engineering and platform teams to design, implement, and refine tooling, automation, and processes that enhance productivity and reduce friction across the development lifecycle. The ideal candidate has: • Strong passion for engineering and developer experience, • Proactive mindset with a focus on continuous improvement, • Solid problem-solving and communication skills, • Curiosity and eagerness to learn new technologies What will you be doing? • Contributing to the design, implementation, and improvement of developer tooling, CI/CD pipelines, and internal platforms, • Maintaining and enhancing developer workflows, documentation, and internal systems, • Building automation that improves build, test, and deployment efficiency, • Identifying pain points in the developer journey and proposing practical, scalable solutions, • Collaborating with engineers across teams to improve onboarding and day-to-day development experience, • Participating in code reviews and helping shape best engineering practices, • Meaningful hands-on engineering experience with real-world systems, • Mentorship and guidance from experienced engineers and platform specialists, • Opportunity to deliver impactful improvements from early on, • Exposure to modern engineering practices, tools, and infrastructure, • Clear development pathways as part of a growing engineering organization, • A recent bachelor's degree in Computer Science, Software Engineering or related field, • Foundational knowledge of TypeScript, • Familiarity with Java and the Java ecosystem, • Experience with Git and version control workflows, • Interest in DevOps, CI/CD and platform engineering, • A real desire to learn, take initiative and grow in a dynamic start-up environment Valstro offers an excellent benefits package, including pension or 401 (k) plans, unlimited PTO and highly competitive compensation. Our leadership team brings a wealth of experience and deep industry knowledge, and despite being a young company, we believe we have carefully dialed in our product-market fit.

Job DescriptionDescription: NYC Healthcare Management Organization Now Hiring IT Desktop Engineer. 5 to 10 Year extensive experience as a Desktop Systems Engineer. Location: Midtown NYC. (On-site) Salary Range: $90,000.00 To 125,000.00 + Benefits Unrestricted Work Authorization Required JOB SUMMARY: The Desktop Engineer is a critical role that focuses on ensuring the smooth deployment, management, and support of desktop systems for the entire organization. You will utilize your expertise with Intune, SCCM and other tools for application packaging, deployments, imaging, and inventory control to enhance desktop environments. You will play a key role in supporting projects such as Unified Endpoint Management to transform the way desktop images are created, managed, and deployed across the organization. You will utilize your expertise in scripting and automating processes to aid our effort in achieving zero-touch image deployments and maintenance of desktop systems. Please note this role is based out of our Queens Health Center. DUTIES AND RESPONSIBILITIES: Collaborate with clients to understand their IT needs and challenges, providing expert advice and support for desktop environment management, troubleshooting, and optimization. Design, create, and manage application packages for deployment using ManageEngine, SCCM, Microsoft Intune, and other tools ensuring proper configuration and distribution across client environments. Develop, manage, and maintain desktop images for various operating systems and configurations. Efficiently deploy these images to both new and existing systems, adhering to client requirements, security, and best practices. Develop and maintain scripts and automation workflows to streamline and automate various aspects of desktop image creation, deployment, and management, with a focus on achieving zero-touch deployments. Assist in maintaining software and hardware inventory tracking systems, regularly updating databases to ensure accurate and current information. Oversee patch management processes, including the automated deployment and verification of updates. Generate detailed reports on patch status, compliance, and any encountered issues. Create and maintain thorough documentation for processes, configurations, and deployments, ensuring all procedures are clearly documented and accessible for future reference. Diagnose and resolve complex issues related to desktop environments, including hardware, software, and network problems. Contributes to team effort. Performs other duties as assigned. Requirements: EDUCATION AND EXPERIENCE: Bachelor’s degree in Engineering, Computer Science, Information Systems, a related area, or equivalent work experience. 5-10 years of extensive experience as a Desktop Systems Engineer or in a similar role, with a proven track record of supporting desktop infrastructure projects and initiatives 5-10 years of experience using SCCM for imaging and deployments 3+ years of experience using Intune for imaging and deployments Experience using Manage Engine Endpoint Central, Script Logic and or Desktop Authority is a plus Microsoft Endpoint Administrator certification is desired. Microsoft Modern Desktop Administrator certification is desired. ITIL V4 certification is desired. KNOWLEDGE, SKILLS, AND ABILITIES: Demonstrated experience in a desktop engineering role, with a strong background in managing and deploying desktop environments using Intune and SCCM. Proficiency in Microsoft Intune and SCCM for application management and deployment. Advanced proficiency in PowerShell scripting, Windows Management Instrumentation (WMI) Microsoft Deployment Toolkit (MDT), Active Directory, and Group Policies with demonstrated experience in developing automation solutions for desktop environments. Strong problem-solving skills, excellent communication abilities, and the capacity to work independently as well as collaboratively within a team. Strong understanding of desktop imaging technologies, deployment methodologies, and best practices, with hands-on experience in image creation, customization, and deployment processes. Ability to analyze complex technical issues, troubleshoot problems, and implement effective solutions in a timely manner. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members, stakeholders, and vendors to achieve common goals and objectives. Attention to detail, ability to meet deadlines and prioritize deliverables for competing high-priority projects, and excellent time management skills. PHYSICAL DEMANDS: Occasional travel to Health Centers and other locations as needed. BENEFITS AND COMPENSATION: Medical, Dental, Vision, Pharmacy, and Mental health benefits at no cost to all benefits-eligible employees and their eligible dependents Paid Time Off (Vacation, Personal, Sick days, and 12 paid Holidays) 401(k) Plan with employer contribution Life Insurance Tuition Reimbursement Short Term and Long-Term Disability Benefits Legal Services Wellness Benefits

Job Description Desktop Engineer Location: New York, NY 10004 Salary Range: $85,000 - $100,000 THE OPPORTUNITY Group One Trading is looking to hire a full-time Desktop Engineer who is passionate about all aspects of user support, including monitoring, actively engaging end-users, troubleshooting, and providing a high level of customer service. In this hands-on, front-line support role on our Systems Team, we desire a candidate with strong problem-solving, customer-service, critical thinking, and communication skills who can collaborate across functional groups. WHO WE ARE We are committed to creating a diverse environment and are proud to be an equal opportunity employer. At Group One, we value transparency and collaboration coming from unique perspectives and backgrounds. We hire bright, analytical, and competitive people and train them to be the best in the industry. We strive to create a workplace in which all employees have an opportunity to participate and contribute to the success of the business. A healthy work-life balance is essential to sustaining our work culture and our overall success. We rely on our employees to spur creativity, enhance problem-solving, and help us thrive in the high-pressure trading industry. WHAT WE DO Group One Trading was founded in San Francisco in 1989, and we've become one of the largest privately held options trading firms in the United States, with brilliant people on our team in New York, Chicago, Philadelphia, and San Francisco. We continue to expand our presence on exchanges as the options trading space evolves and grows. Armed with expertise developed through a rigorous training program, our traders provide competitive liquidity across a broad range of securities. We manage portfolios of thousands of securities and electronically stream two-sided quotes across multiple exchanges. Group One is wholly owned by its founders and employees, and all our trading is proprietary, placing both the rewards for our success and managerial oversight directly in our team's hands. THE SKILLSET A broad, multi-platform skill set is what we look for, but there will be plenty of learning opportunities no matter how many of these skills you bring in with you. We also encourage applicants with various levels of technical backgrounds to apply. Our ideal Desktop Engineer possesses the following: • Minimum of 2 years of experience working in a technical role, • Proficient in providing support, troubleshooting, and configuring system hardware, • Expertise in troubleshooting Windows Desktop and Server Operating Systems, including Windows 10, 11, Windows Server 2016, 2019, and 2022, • Knowledgeable in Microsoft Active Directory/AAD/Entra, Azure, DHCP, DNS, Exchange Online, and deployment of Windows Updates, • Familiarity with Microsoft SQL Server & SQL Database Management, • Experience working with a VMware vSphere environment, • Demonstrated proactive problem-solving and critical thinking skills, • Understanding of fundamental networking concepts, including TCP/IP, FTP, and routing, • Ability to lift up to 30 lbs. and crouch beneath desks for equipment installation WHAT TO EXPECT AS A DESKTOP ENGINEER Within 1 month, you complete your initial orientation as well as become familiar with our environment, our infrastructure, and our business. You begin a comprehensive, cross-functional training plan to learn more about every aspect of our firm. Within 3 months, you will be proficient in system monitoring, proactively identifying potential issues in the proprietary trading system and responding effectively to incidents. You will begin to gain confidence in performing software maintenance tasks, troubleshooting basic networking issues, and providing user computer setup support. Additionally, your collaborative skills and proactive problem-solving approach will be evident as you actively engage with teams, contribute to documentation efforts, and propose improvements to enhance system stability and performance. Within 6 months, you will have gained proficiency in troubleshooting complex issues and can provide timely and effective support to all users. Additionally, you will begin to take on a leadership role in collaborative efforts, contributing significantly to proposing system enhancements, and fostering a culture of continuous improvement within the team. This is a hybrid role that requires a significant in-office presence to work directly with our technology team & trading staff, in-person. THE BENEFITS Our Desktop Engineer earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. If this sounds like the right opportunity for you, apply today! Please fill out our initial 3-minute, mobile-friendly application for the Desktop Engineer role. We look forward to meeting you! Job Posted by ApplicantPro