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Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. 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 GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes 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 Pay Transparency provision. 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.

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to advance this mission. To that end, the Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (ML) solutions across Azure, AWS, and other cloud and hybrid platforms. This role is highly hands on and execution focused, combining strong software engineering practices with applied AI and ML expertise to deliver secure, scalable, and high performing solutions that support the firm's business and technology objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms, • Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring, • Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations, • Write high quality, scalable, and maintainable code for AI and ML workloads, • Optimize performance, reliability, and cost efficiency of cloud based AI and ML services, • Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems, • Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support, • Apply security, compliance, and data privacy best practices in all AI and ML implementations, • Contribute to technical design discussions and provide guidance on AI and ML implementation patterns, • Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions), • Hands on experience developing AI and ML solutions on Azure and or AWS, • Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows, • Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG), • Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling, • Bachelor's degree in Computer Science, Engineering, Information Systems or related discipline Competencies: • Excellent oral and written communications skills, including technical and user documentation writing, • Strong analytical, problem solving, critical thinking and implementation skills, • Professional demeanor, • Excellent attention to detail, follow-up, organizational and communications skills, • Ability to work independently and under pressure, • Ability to solve problems independently and simultaneously, • Entrepreneurial by nature, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $145,000 - $210,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Job Description Who you are: You are a highly motivated self-starter looking to propel your career to the next level in a thriving and collegial professional environment. Who we are: Tarter Krinsky & Drogin LLP (TKD) is an entrepreneurial, growing, and highly supportive firm located in the heart of New York City. Our position as a mid-size firm promotes a work environment that fosters relationship building inside and outside of the office. We care about each other, our clients, the work we do, and the communities in which we live. It’s the kind of environment where every employee can develop into their best professional selves, where everyone’s contributions matter, and where each employee makes a real difference right from the start. TKD is a place to challenge, share ideas, and contribute your ideas and skills as part of an exceptional team. Each day holds an opportunity to make a real impact. The firm is currently building a dedicated AI function — one of the most substantive investments in legal technology infrastructure a firm of our size has undertaken — and this role is the cornerstone of that effort. What the role entails: The Legal Engineer is the bridge between TKD's attorneys and its AI infrastructure. This is not a technology role that happens to sit near lawyers — it is a legal operations role that requires deep fluency in both legal practice and AI tooling. The person in this role will own the attorney-facing layer of the firm's AI program: designing workflows, managing pilots, running training and adoption, and ensuring that AI capabilities translate into genuine value inside legal practice. This role works in close collaboration with the Head of AI, training co-lead, and the incoming AI Engineer. It is a high-visibility, high-impact position with significant room to shape how the firm builds and evolves its AI function over time. Essential responsibilities include: AI Workflow Design & Implementation • Design and build AI-enabled legal workflows across practice areas, including litigation, transactional, business immigration, and corporate, • Translate attorney needs into structured, repeatable workflow architectures that leverage AI platforms effectively, • Document and maintain workflow templates, playbooks, and standard operating procedures, • Serve as the primary day-to-day manager of vendor pilots, • Coordinate between pilot participants, vendor support teams, and firm leadership, • Collect structured feedback, develop evaluation scorecards, and synthesize results for the Fractional Head of AI and executive committee, • Co-lead firm-wide AI training and adoption program., • Develop and deliver training sessions tailored to different practice areas and staff functions, • Host recurring office hours for attorneys seeking one-on-one platform support, • Identify and cultivate super users and practice group AI leads across the firm, • Develop deep proficiency in each AI platform deployed by the firm — going beyond standard user training to the level of real-time troubleshooting and workflow coaching, • Stay current on platform updates, new features, and competitive alternatives, • Maintain working relationships with vendor contacts and serve as a liaison between the firm and vendor support teams, • Establish error handling protocols and quality review processes for AI-generated outputs in legal workflows, • Maintain a structured feedback loop between attorneys, the AI function, and firm leadership, • J.D. required., • Minimum of two years of law practice experience at a law firm, in-house legal department, or public sector office. Active bar admission not required, but candidates must have practiced law., • Demonstrated experience designing and deploying legal workflows on one or more AI-native legal platforms (e.g., Harvey, Jylo, CaseBlink, Litera One, ContractMatrix, Legora, or comparable tools). End-user familiarity is not sufficient — candidates should be able to describe specific workflows they architected, the legal process problems those workflows addressed, and how they were adopted by attorneys in practice., • Hands-on software development experience beyond low-code and no-code tooling. Candidates must be able to point to applications they have built or meaningfully contributed to in a professional or project context. Proficiency with development tools and AI frameworks is expected — including one or more of the following: LangChain, LangFlow, GitHub, Cursor, Claude Code, or OpenAI Codex. This is not a requirement for a senior software engineer; it is a requirement that the candidate has written real code, understands how software gets built, and can work credibly alongside an AI engineer on custom application development., • Strong understanding of legal workflows across at least one practice area (transactional, litigation, immigration, or similar), with the ability to translate those workflows into structured, AI-ready process designs., • Excellent communication skills — able to explain technical concepts to non-technical attorneys and translate attorney feedback into actionable technical direction., • Highly organized, self-directed, and capable of managing multiple workstreams simultaneously., • Demonstrated ability to design and deliver training or change management programs., • Familiarity with Microsoft Azure AI Foundry, Copilot, or similar enterprise AI infrastructure preferred., • Experience with AI prompt engineering and structured workflow documentation preferred., • Prior experience building or managing an AI, legal tech, or legal operations function preferred. What success looks like: In the first 90 days, a successful Legal Engineer will have: onboarded and begun actively managing the firm's vendor pilots; delivered at least two attorney training sessions with documented outcomes; developed workflow documentation for at least one practice area; and established a regular cadence of feedback collection from pilot participants. By six months, they will have become the firm's go-to resource for AI workflow questions — the person attorneys come to when they don't know how to get AI to do what they need. What you’ll love about us: We care about your professional and personal growth. Training and developing our team members are at the heart of everything we do. We are committed to cultivating development opportunities for you and helping you achieve your targeted career goals. The firm values your unique characteristics. We foster an inclusive and diverse environment where multiple perspectives are appreciated as we understand that our employees play an intricate role in the expansion and success of our firm. Compensation & benefits: The good faith base annual salary range for this position is a minimum of $140,000 to a maximum of $200,000. The actual salary rate offered to candidates within that range will depend on a variety of factors, including without limitation, years of relevant experience, applicable bar admissions, office location, and the candidate's overall qualifications for the position as assessed by the Firm. Market and Firm factors are also considered. Our generous benefits package includes medical, dental, vision insurance; 401K, disability, life insurance, and Paid Time Off (PTO). More about the Firm: TKD is a pre-eminent full-service firm focused on serving middle-market and larger business clients. We provide high-quality personalized service based on our client’s goals. The strength of the firm lies not only in its experienced attorneys and congenial atmosphere but also in our holistic approach to law – serving businesses and individuals through commercial litigation, general corporate, real estate, construction-related matters, trust and estates, employment & labor law, as well as more specialized areas, including securities, not-for-profit and education, taxation, business-related immigration matters, international law, intellectual property, and bankruptcy, among others. Our lawyers have also garnered several prestigious recognitions for their contributions to the profession and their clients. We have been selected by Crain’s NY Business as a Best Places to Work in New York City and listed on the National Law Journal’s Hot List of the top 20 mid-sized firms in the nation. Many of our lawyers are ranked in Chambers USA and included among Best Lawyers and Super Lawyers. TKD is an Equal Opportunity Employer. We embrace equal employment opportunity and inclusiveness. We prohibit discrimination based on, among other characteristics, race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, immigration or citizenship status, age, disability, genetic information (including family medical history), political affiliation, status as a veteran or active military service member, and pregnancy and lactation accommodations, in our employment practices including, but not limited to, recruiting, hiring, and promoting. TKD will not accept unsolicited resumes from search firms for this employment opportunity. All resumes submitted by search firms to any employee at TKD via mail, email, fax, the Internet, or in any other form and/or method without a valid written search agreement in place will be deemed the sole property of TKD. TKD will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Cyber Security Engineer Cooley is seeking a Senior Cyber Security Engineer to join the Security team. Position summary: Cooley Technology embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, the Cyber Security Engineer is expected to recognize that the Cooley Technology department is a service organization first and foremost and will be evaluated on this requirement equal in importance to the technical or operational responsibilities outlined later in this document. The Cyber Security Engineer will work to maintain and monitor the security practices and systems implemented by the Firm. The Cyber Security Engineer will implement and manage security systems and tools as directed by Firm policies, procedures, and management. Specific duties include, but are not limited to, the following: Position responsibilities • Review, analyze and monitor security system reports and logs for suspicious activities, trends and patterns. This includes but is not limited to web filters, mail gateways, firewalls, encryption systems, anti-malware systems, IDS/IPS, • Configure, maintain, and administer security products and solutions used within the Firm, • Configure, maintain and administer firewalls, VPN, privileged access management (PAM), data loss prevention, EDR, and security information event monitoring (SIEM) systems, • As a member of the Incident Response team respond to alerts, warnings, incidents, and help desk tickets to ensure minimum exposure of Firm assets under the direction of the Cyber Security Manager, • Participate in troubleshooting efforts on all cyber security related problems to include the establishment, management, and use of TAM arrangements with specified security vendors, • Participate as a technician/engineer on Technology and Innovation projects, • Conduct risk and security reviews on products as directed by the Cyber Security Manager or Technology management, • Recommend controls to ensure the appropriate level of protection and adherence to the goals of the overall information security strategy, • Monitor Technology security metrics and measures to include monitoring security system logs, Windows server logs, and network monitoring systems, • Provide consultation and conduct internal investigations that may require forensic analysis under the direction of the Cyber Security Manager and/or Technology management, • Respond to audit findings as directed by the Cyber Security Manager and/or Technology Management, • Evaluate and recommend commercial security vendors and products, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 5+ years of experience in information security with the proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Proven practical experience in information security and well-rounded knowledge of Technology, • Experience working with:, • Active Directory, • Firewalls, • Intrusion Detection and Prevention Systems, • Endpoint Detection and Response (EDR) and management console, • Web filter/proxy technologies, • Encryption technologies - whole disk, e-mail, and data at rest, • Vulnerability scanners, • Data loss prevention, • Email gateways and anti-spam services, • Privileged account management systems, • Security information and event management systems, • AWS and Azure Cloud Services, • Bachelor's Degree in Information Technology or Computer Information Systems, • CISSP or equivalent certifications and/or experience, • Experience working with the following products:, • Palo Alto Network's Firewalls and Prisma Access, • Tenable Vulnerability Scanner, • VMWare, • Cyberhaven Data Loss Prevention, • Proofpoint Email Gateway and Anti-Spam, • Forensic Tools, • S/MIME email encryption, • Delina Secret Server, • Crowdstrike, • Google SecOps SIEM, • Two factor authentication technologies, • Penetration testing tools, • Patch management systems Competencies: • Exceptional customer service skills, • Excellent analytical, problem-solving, customer service, project management and communication skills, • Goal-oriented, • Excellent decision making, integrity and working with IT management, business users and staff, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills, • Ability to work independently and under high pressure with tight schedules and deadlines, • Ability to interact well with all levels of business professionals, • Excellent active listening skills, • Flexible and patient with process development/execution and adherence to instruct project management practices, • Capable of grasping new concepts quickly and without prior experience, • Detail-oriented, • Ability to multi-task and work in fast-paced environment, • Ability to interact and coordinate with several teams to achieve objectives, • Ability to solve problems independently and simultaneously, effectively managing multiple tasks, • Professional demeanor at all times Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $145,000 - $210,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Software Engineer Cooley is seeking a Senior Software Engineer to join the Practice Engineering team. About Cooley: Cooley is a global law firm with an expansive practice and more than 3,000 employees and partners worldwide. We value and celebrate diverse perspectives and strive to create a workplace where every individual can thrive. At the core of Cooley's success is the exceptional talent and unwavering spirit of our people. We embrace individuality while fostering a 'one-firm' culture where collaboration and creativity thrive. Our people are the foundation of our success and the driving force behind everything we do. Hybrid Schedule Philosophy: As part of the Cooley culture, we recognize and appreciate the value of being together, in person, to build comradery with others in the office and to be a contributing member of the Cooley office. However, we also appreciate the benefits and flexibility that come from remote working. As such, the default assumption for employees and partners is a hybrid schedule: some in-office presence and some work from home days absent certain essential in-office roles that require five (5) days/week in-office. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, under the supervision of the Senior Manager of Software Engineering and working in conjunction with a development team, the Senior Software Engineer will create user information solutions by developing, implementing, and maintaining internet/intranet applications, leading a team of developers. Specific duties include, but are not limited to, the following: Position responsibilities: • Determine design methodologies and tool sets; compile programming using languages and software projects including designing and conducting tests, • Design and develop user interfaces to internet/intranet applications by setting expectations and features priorities throughout development life cycle, • Integrate applications by designing database architecture and server scripting in addition to studying and establishing connectivity with network systems, search engines, and information servers, • Define site objectives by analyzing user requirements; envisioning system features and functionality, • Support and develop application developers by providing advice, coaching and educational opportunities, • Assist with Q&A and user acceptance testing to ensure applications can be used easily, quickly and accurately, • Consult manuals, periodicals and technical reports to learn new ways to develop programs and maintain existing skills and knowledge, • Serve as a member of on-call rotation team in support of production applications, Web services, and workflow process, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • 5+ years of modern web development experience, with a proven ability to work independently and delivery high-quality solutions across the full SDLC, • Extensive experience with SQL Server, including database design, table creation, stored procedures, functions, and query optimization, • Expertise in building RESTful APIs and microservices using ASP.NET Core, .NET 6+, and C#, with a strong focus on scalability, performance, and security, • Proficient with Visual Studio 2019+/VS Code, • Strong experience with modern front-end frameworks, including Angular (v12+), TypeScript, JavaScript (ES6+), HTML5, and CSS3/SASS, • Committed to maintaining high code quality by implementing unit and integration tests, • Hands-on experience with both AWS and Azure, including services such as App Services, Lambda, API Gateway, Azure Functions, Key Vault, • Experience integrating AI-powered solutions using Azure Cognitive Services, OpenAI on Azure, AWS SageMaker, • Bachelor's degree, • Law firm or other professional services organization experience Competencies: • Exceptional customer service skills, • Excellent analytical, problem-solving and project management skills, • Ability to balance best practices with business objectives, • Proven track record of excellent decision-making, integrity and working with IS management, business users and staff, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills and detail oriented, • Ability to work independently and under high pressure with tight schedules and deadlines, • Ability to interact well with all levels of staff, • Excellent active listening skills, • Ambitious and motivated team player, • Capable of grasping new concepts quickly and without prior experience, • Ability to multi-task and work in fast-paced environment, • Ability to interact and coordinate with several teams to achieve objectives, • Ability to solve problems independently and simultaneously, effectively managing multiple tasks, • Professional demeanor Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $155,000 - $210,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

This position involves being a part of Product Management team that manages the technical and sustaining aspects of a product lifecycle in the area of Distribution Switching and Distribution Automation for the electric utility market. The individual in this position should be able to lead and support various engineering programs - New Product Introduction, Sustaining Engineering, Value Engineering, Product troubleshooting, Product enhancements for multiple Distribution Switching products like Reclosers (Single-Phase and Three-Phase), Sectionalizers, Capacitor Banks, Padmount Switchgear, Sensors etc. The individual in this position must be able to participate and contribute and in technical conversations about entire product across various disciplines - Firmware, Hardware, Mechanical Engineering, GUI development, Type Testing, Functional Testing etc. Additionally, the individual must be able to successfully work with various cross-functional teams such as Manufacturing team, Product Management team, Field Application Engineering team etc. This position is for an engineer who is passionate, proficient and the one who will enjoy working on all aspects of launching new products. The individual must be able to work with a sense of urgency to deliver top-tier quality solutions to end-users. • Own the technical and product lifecycle management of distribution automation product lines in categories such as lateral protection, feeder overhead switchgear, feeder underground switchgear and grid optimization., • Coordinate all internal and sustaining projects across various business unit functions such as engineering, product management, field applications, manufacturing, quality, supply chain etc., • Own and lead the resolution of any PPI/RMA for the product lines and coordinate across the various departments to find timely resolution and implementation of corrective actions., • Work with Product Management team for gathering requirements for new feature additions, NPIs (New Product Introduction) and Sustaining Engineering projects and own list of deliverables against those requirements,, • Coordinate with individual Design Engineering team members and plan for delivering those requirements,, • Lead Concept Design Reviews, Detailed Design Reviews, Design Verification Reviews with Chief Engineering office for various NPI projects,, • Lead Product troubleshooting for field issues, troubleshooting of various issues during product development by owning the problem solving; Provide technical guidance to various team members to solve the problem,, • Define "Design of Experiments" framework to solve problems encountered during development and/or various field issues, as needed, • Use Azure DevOps for creating Project instances, Epics, User stories, Tasks etc. Control and manage DevOps interactions for various projects requirements,, • Understand Type Testing requirements of NPI project and plan out the testing; Dig into various IEEE/IEC standards to understand type testing requirements as needed., • Supervise functional testing of the product. Define System-level Test plan, Help the testing team conceive various use-cases, corner cases for Product testing., • Perform system-level Product testing as required and guide/direct Test Engineering teams, as necessary., • BSEE, BSCS, BSCE Degree with at least 8 years of industrial experience. Master's degree preferred., • Proven track record for owning product lines for feature additions, sustaining engineering, solving manufacturing issues etc., • At least 5 years of development experience either as - Firmware Engineer, Hardware Engineer, Test Engineer OR System Engineer, • Excellent understanding of NPI (New Product Introduction) process, • Proven track record of working with external design vendors for feature additions, troubleshooting, New Product Development tasks. Must be able to write SOW, Requirements document for external design vendors effectively., • Familiarity with various IEEE, IEC, UL Standards for type testing requirements, • Ability to work with various Engineering disciplines to deliver product requirements, • Proven track record of leading problem solving; Must be able to work hands-on in the lab with Oscilloscope, Current sources etc., • Demonstrated experience of working in a fast-paced, goal-oriented product development environment,, • Must have the passion and aptitude for grasping/learning new concepts, new technologies, new products, • Must be able to comfortably work with various cross-functional teams - Product Management, Manufacturing Engineering, Firmware team, Testing team, Offshore teams etc., • Must have required diplomacy to get things done and able to act with conviction., • Must possess excellent verbal and written communications skills. Hubbell Incorporated Hubbell creates critical infrastructure solutions that power our customers, communities, people and the planet. Our company is strategically aligned around enabling grid modernization and electrification. As more products plug in to an aging grid, Hubbell solutions enable the transition to a more reliable, resilient and efficient energy infrastructure. Founded in 1888 our innovation has made us a leading global manufacturer of high quality electrical and utility solutions enabling customers to operate critical infrastructure reliably and efficiently. The company operates in two segments. Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications and Hubbell Electrical Solutions (HES) are essential to managing power across a wide range of industries and applications. Our vertical market solutions can be applied to markets including Data Centers, Renewables, Commercial Buildings, Industrial, Telecom and Transportation. Supporting both of our business segments is our corporate and Hubbell Unified Business Solutions teams that provide consistent process, tools technologies across our businesses. We are committed to operating sustainably and ethically while promoting an inclusive and supportive culture for our people to grow and develop in their careers. Our employees proudly work and serve our communities from our headquarters in Shelton, CT, across the United States and around the globe. Hubbell Utility Solutions Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications. HUS provides the critical components that allow the grid to reliably transmit and distribute energy, as well as the communications and controls technologies to make the grid smarter and more flexible. Hubbell Incorporated, its subsidiaries and affiliates, is an EO Employer AA: M/F/Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity or any other protected class. The above summary of position responsibilities and requirements is not intended, and should not be construed, to be an exhaustive list of duties, skills, efforts, physical requirements, or working conditions associated with the position. It is intended to be an accurate reflection of those principal position elements essential for making decisions related to position performance, employee development, and compensation.

Product Support Engineer Cooley is seeking a Product Support Engineer to join the Product team, which is part of the larger Innovation group at the firm. About Cooley: Cooley is a global law firm with an expansive practice and more than 3,000 employees and partners worldwide. We value and celebrate diverse perspectives and strive to create a workplace where every individual can thrive. At the core of Cooley's success is the exceptional talent and unwavering spirit of our people. We embrace individuality while fostering a 'one-firm' culture where collaboration and creativity thrive. Our people are the foundation of our success and the driving force behind everything we do. Hybrid Schedule: As part of the Cooley culture, we recognize and appreciate the value of being together, in person, to build comradery with others in the office and to be a contributing member of the Cooley office. However, we also appreciate the benefits and flexibility that come from remote working. As such, the default assumption for employees and partners is a hybrid schedule: some in-office presence and some work from home days absent certain essential in-office roles that require five (5) days/week in-office. Position summary: As a leading technology law firm, Cooley is committed to becoming a leader in the digital practice of law. To support this mission, the Product Support Engineer plays a critical role within the support team by serving as the primary escalation point for complex and technically challenging product issues across Cooley's application portfolio. Under the direction of the Manager of Support and Training, and with guidance from the Associate Director of Product, the Product Support Engineer bridges support and engineering by triaging, analyzing, and investigating unresolved or recurring issues. This role focuses on identifying root causes, validating resolutions, and determining appropriate next steps before escalating issues to product and development teams for final resolution, helping to improve product stability, performance, and quality over time. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: Advanced Support & Escalation • Serve as the Level 2+ escalation owner for issues unsolved by product support specialists, • Perform structured triage, including replication, rootcause hypothesis, impact assessment, and recommended next step, • Resolve issues directly when feasible (configuration, small fixes, scripts, workflows), • For issues requiring engineering intervention, create highquality development tickets with clear problem statements, logs, reproduction steps, and acceptance criteria, • Act as connective tissue between support, product, engineering, and training, • Communicate trends, recurring defects, and product gaps to product managers, • Participate in agile ceremonies when requested (backlog grooming, sprint planning, bug triage) Quality, Stability & Readiness • Identify patterns in escalations and proactively recommend improvements to documentation, training materials, support workflows, or product features, • Contribute to release readiness reviews by validating bug fixes and contributing acceptance notes, • Share knowledge with support specialists and participate in their skill development under guidance of the product support & training manager, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 4+ years directly applicable experience (e.g., application support engineer, technical support engineer, product support engineer, or quality assurance engineer) - Senior level candidates considered with 5+ years' experience with proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Experience supporting SaaS, enterprise web applications, or custom internal tools, • Familiarity with software development practices, including agile/scrum, version control, and CI/CD awareness, • Strong diagnostic skills across APIs, web applications, authentication, data validation, and system integrations, • Hands-on experience with Azure DevOps, Jira, Confluence, or comparable systems, • Ability to read and understand code (e.g., basic familiarity with scripting languages, JSON, XML, SQL) Preferred: • Bachelor's degree, • Experience in Agile/Scrum environments, • Familiarity with cloud platforms (Azure preferred), • Experience writing or maintaining internal troubleshooting documentation, • Background in QA, systems analysis, or light development, • Familiarity with user research methods, experiment design, and A/B testing, • Experience collaborating closely with product teams to launch new features or products, • Technical curiosity and ability to dive into application behavior, data structures, and systems, • Experience working in a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys Competencies: • Excellent communication skills-able to translate technical concepts for nontechnical audiences, • Comfortable with technology and a willingness to learn more, • Highly organized with excellent time management and project management skills and the ability to work independently to meet objectives and deadlines, • Excellent communication skills with all levels of internal and external stakeholders, • Eager to create solutions in addition to identifying problems, • Takes initiative and drives things forward independently, • Deep care for user needs and experience, • Comfortable exploring data to guide recommendations, • Works effectively across teams to achieve shared outcomes, • Comfortable taking responsibility for outcomes and followthrough, • Entrepreneurial by nature, • Excellent attention to detail, • Exceptional interpersonal and communication skills with ability to facilitate and solve problems, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Proactive, analytical mindset, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore - it's a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. We owe our success to our amazing product, commitment to our people and the connections we make in every community. If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you! We areOptimum! CSC Holdings, LLC seeks a Staff Data Engineer to architect, build, and maintain scalable, fault-tolerant data pipelines for the continuous ingestion, transformation, and loading of large datasets across distributed systems. Leverage data technologies to support real-time and batch data processing workflows. Implement workflow orchestration frameworks to automate ETL jobs, ensuring data freshness, error handling, and optimized resource allocation. Perform scheduling, dependency tracking, and monitoring to reduce manual intervention and minimize system downtime. Define data architecture to support structured and unstructured data. Utilize dimensional modeling to enable efficient querying in data warehouses. Leverage indexing, partitioning, and sharing strategies to handle high-throughput and low-latency data operations. Utilize BigQuery and BigTable for scalable data lakes and adaptive query execution. Drive strategic initiatives from concept to delivery. Lead cross-functional data engineering projects and mentor team members. #LI-DNI Position requires a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field followed by 5 years of progressively responsible experience with implementing data validation and data integrity processes. Experience must include a minimum of: 5 years of experience with writing complex SQL queries, including joins, unions, subqueries, and window functions; 5 years of experience with version control systems for collaboration and version tracking of SQL scripts and pipelines; 5 years of experience with cloud infrastructure, including AWS, Snowflake, Google BigQuery, Google Cloud, and Azure for database and data pipeline processes; 5 years of experience with automating data pipelines with Airflow, Apache Kafka, and Spark; and 3 years of experience with Python programming data orchestration and automation. Telecommuting benefit available. Job location: Long Island City, NY. Rate of Pay: $182,000.00 - $192,000.00 per year. To apply, please visit___and search by job title or enter Job ID number: 11574 At Optimum, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise. Our commitment to empowering employees to take responsibility and embrace proactive problem-solving underpins Taking Ownership. Upholding Transparency is at the core of our culture, with open and honest communication fostering trust among our dedicated team and loyal customers. Creating Community is more than a goal; it's our daily commitment to fostering an environment of collaboration, innovation, and positivity. Demonstrating expertise is a promise we uphold through continuous learning and engagement with our customers to consistently deliver top-quality products and services. These pillars not only shape our culture but define Optimum as a place of excellence, trustworthiness, and thriving community, and we invite you to be a part of our journey. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team, so together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our ___for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $182,000.00 - $192,000.00 per year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. Alternatively, please send your resume, cover letter, and a copy of the ad to: Optimum Communications, Attn: Erin M. Berry, One Court Square West, Long IslandCity, NY, USA 11101.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for a Full Stack Engineer to join our Technology Engagements team. You'll build production software across two tracks: custom AI solutions for Chatham's external clients (private equity firms, real estate investors, capital markets organizations) and internal applications that improve how Chatham operates. This is a hands-on building role. You'll write code every day, working across the full stack to ship applications that solve real business problems. The work spans client-facing platforms, workflow automation tools, and internal apps built in partnership with Chatham's product, technology, and business teams. We build with AI, not just about AI. You must be actively using LLM-powered coding tools like Claude Code, Codex, or similar to write, review, and ship code. This isn't optional or nice-to-have. It's how we work. What You'll Do • Build and ship full-stack web applications from database to UI, • Write production Python using modern frameworks (FastAPI, etc.) with clean architecture, solid design patterns, and well-structured code, • Develop React or similar-based frontends that are clean, functional, and user-friendly, • Design and build APIs, services, and integrations across systems, • Work with SQL databases to design schemas, write queries, and manage data, • Build LLM-powered applications: agent orchestration, extraction engines, tool-use patterns, and AI-integrated workflows, • Use Claude Code, Codex, or similar LLM coding tools daily to write, review, and ship code effectively, • Collaborate closely with the AI Solutions Engineers and team leadership to translate client requirements into working software, • Work cross-functionally with Chatham's product, technology, and business teams on internal tools and applications, • Own features end-to-end: architecture, implementation, testing, deployment, • 5+ years of professional software engineering experience, • Strong software architecture skills: design patterns, clean code structure, separation of concerns, building systems that are reliable, robust, and performant, • Full-stack development: Python (FastAPI or similar frameworks), JavaScript, TypeScript, React, • Solid experience with SQL, relational databases, and data modeling, • Hands-on experience building with LLMs: agent orchestration, RAG systems, prompt engineering, tool-use patterns, or AI-integrated applications, • Understanding of how LLMs work, their strengths, limitations, and how to build reliable systems around them, • Active daily use of LLM-powered coding tools (Claude Code, Codex, GitHub Copilot, or similar) to write and ship code. This is a hard requirement., • Experience building and consuming APIs, handling system integrations, and working through the full development lifecycle, • Comfortable working in fast-paced environments where priorities shift and you need to figure things out, • Ability to work independently, make decisions, and ship without heavy oversight, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • Preferred, • Experience with cloud platforms (AWS, Azure, or GCP), • Background at a startup or high-growth company, • Familiarity with data pipelines, ETL, or working with unstructured data, • Competitive compensation: base salary + performance bonus, • Small team, big impact: your work ships to real clients solving real problems, • AI-first environment: we don't just talk about AI, we build with it every day, • Domain expertise: learn capital markets and financial services from the inside, • Stability + speed: 30+ year firm with an entrepreneurial team culture For New York based candidates, the compensation range for the position is expected to be between $100,000 and $140,000 annually. Total compensation, including base pay, discretionary individual bonus and company bonus, may be higher than range listed, depending on applicant's skills, qualifications, and experience. Benefits include health insurance, life and disability insurance, 401k, EAP, paid holidays and paid time off. About Chatham Financial: Chatham Financial is the leading independent capital markets advisor, delivering an integrated blend of expert advice and powerful technology to help you reduce risk and seize opportunity. With decades of capital markets strategy, execution, monitoring, and performance expertise, we serve as an unwavering advocate for your best interests and your innovation partner. Our technology platform unifies data across assets, debt, and derivatives, giving you unmatched agility, transparency, and insight. It's clear ahead. Our commitment is to carry that light forward in every partnership, every solution, and every market we serve. We help guide the way-giving clients the insight and momentum to move forward with confidence, no matter what lies ahead.

The Cloud Systems Engineer is an integral part of the Chobani IT Infrastructure team, supporting both cloud and on-premise environments for the business. The role emphasizes expertise in IaaS platforms and Microsoft 365. This position will focus on ensuring system performance, security, and reliability, while collaborating with cross-functional teams to align systems with business requirements. • Design, implement, and manage scalable cloud infrastructure in Microsoft Azure, including Virtual Machines, App Services, and Azure Kubernetes Service (AKS)., • Develop and manage API integrations, enabling seamless communication between cloud service an applications., • Administer and optimize Microsoft 365 services, including Exchange Online, SharePoint Online, OneDrive, Teams, and the Power Platform., • Managing identities: Azure Entra ID user/group provisioning, hybrid identity setups with Azure AD Connect, and single sign-on (SSO)., • Ensure robust security and compliance in Azure through proper configuration of Azure AD, Key Vault, NSGs, and Azure Security Center., • Configure and maintain cloud-based disaster recovery and backup solutions, such as Azure Backup and Site Recovery., • Monitor, troubleshoot, and optimize cloud performance using tools like Azure Monitor, Log Analytics, and Application Insights., • Manage and maintain VMware environments, including ESXi hosts, vCenter, and virtualized workloads., • Administer and support Windows Server environments, including Active Directory, DNS, DHCP, and file/print services., • Oversee backup and recovery operations for on-premises infrastructure using tools such as Veeam, Commvault, or similar., • Monitor and manage storage systems, including SAN, NAS, and direct-attached storage., • Perform routine server maintenance, patching, and hardware troubleshooting., • Configure and monitor email security protocols (SPF, DKIM, DMARC) and email gateway solutions to protect against phishing and spam., • Collaborate with security teams to maintain a Zero Trust Architecture across all systems., • Automate repetitive tasks and deployments using PowerShell, Python or other scripting languages., • Leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for cloud deployments., • Collaborate with cross-functional teams to ensure systems meet business requirements., • Provide Tier 3 support for escalated incidents related to cloud or on-premises infrastructure., • 5 + years maintaining and operating Microsoft Azure or AWS and Microsoft 365 environments, including administration, automation, and optimization., • 5 + years of Windows Server administration, including Active Directory, DNS, DHCP, and Group Policy., • Proficiency in managing and troubleshooting VMware infrastructure., • Experience with backup and recovery tools like Veeam, Commvault, or similar., • Solid understanding of networking fundamentals, including VPNs, DNS, and firewalls., • Advanced scripting and automation skills using PowerShell or Python, • Experience configuring and managing email security protocols (SPF, DKIM, DMARC) and hybrid mail flow., • Familiarity with containerization and AKS (or other Kubernetes solutions)., • Familiarity with SQL database architectures., • Knowledge of storage systems (SAN, NAS) and performance optimization. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $94,000.00 - $147,950.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Senior Datacenter and Cloud Engineer Cooley is seeking a Senior Technology Datacenter and Cloud Engineer to join the DevOps team. Position summary: The Senior Data Center and Cloud Engineer ("DCE") is responsible for the firm's Datacenters and local office server rooms and is a technical expert who executes effectively on server infrastructure projects. This position will have a thorough understanding of firm technologies and systems and will be able to understand both the business and technical requirements for new products that will be engineered and implemented by the group. Position responsibilities: • Analyze system performance, modify parameters to improve throughput and effectively utilize system resources. Monitor resource usage, making required adjustments, • Participate in on-call production support activities, • Work closely with the Architecture and Engineering group as well as the Network Engineering group to provision complex infrastructure designs, for example, the design, implementation and support of VMware server infrastructure, • Monitor, maintain and ensure the regular execution of backup routines by responding to system alerts and maintaining data replication between datacenters and DR locations, • Participate in the planning, testing and execution of DR/BC procedures including failover and failback between datacenters and across the Firm's network, • Proactively create and implement procedures to prevent and reduce the severity of outages. Implement automation wherever possible, • Responsible for implementation of required hardware and/or software for all tier and affinity infrastructure, • Responsible for all aspects of the datacenternetwork including racking, cabling and power related to the infrastructure including those involving services from providers such as co-location management and carrier services, • Maintain the integrity of the servers (physical and virtual), storage systems, network and security devices and overall network infrastructure for the business unit via actively monitoring, troubleshooting, and participating in regular monthly systems patching and upgrade activities, • Responsible for identifying problem areas in a proactive way and developing solutions to meet the challenges in theDatacenter environment, • Responsible for troubleshooting and issuemanagementthroughout the datacenter and cloud systems, • Analyze business needs and the external environment to develop, scope, and enable implementation of enterprise infrastructure, • Communicate ideas through presentations, reports, and documentation, • Work with stakeholders, management, and subject matter experts to develop and implement technology strategies, • Collaborate with technology leadership in developing and maintaining a roadmap for assigned areas, • Coordinate with and participate in activities with vendors, as required, • Provide clear and grammatically correct documentation, emails, procedures, and status (both verbal and written), • Comply with all department policies, standards and procedures, • Participate in change control and change managementprocesses, • Respond to administrative requests and responsibilities in a timely manner, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years' direct applicable experience (e.g., system administration with advanced systems engineering), • Enterprise architecture expertise for both collocated and cloud datacenters, • Experience with Hyperscalers, specifically Azure and AWS, • Bachelor's or master's degree in computer science or related discipline, • Current certifications in AWS or Azure or VMware, • Experience working in a law firm or professional services environment, • NetApp storage and enterprise storage protocols to include CIFS, NFS, iSCSI, and FC, • Experience with backup software Cohesity or Veeam and AWS Backup, • Experience with:, • Enterprise server technology, specifically Cisco UCS, • Scripting with PowerShell and/or Python, • Enterprise backup technologies, • Enterprise DR Methodologies and technologies, • DevOps technologies and methods Competencies: • Professional demeanor at all times, including during project engagement, • Excellent communication (verbal and written) skills, • Strong project management skills, and the ability to translate complex technical concepts into simple language, • Strong team player who can successfully interact with all levels of business professionals and effectively work with diverse personalities, • Strong analytical and project management skills. Capable of interpreting and applying complex technical information, • Ability to work independently and to make sound judgments regarding the best course of action to resolve problems; ability to determine when further expertise is necessary and contact the proper individuals, as required, • Ability to work effectively under pressure, set priorities, handle a number of matters concurrently and in a timely manner, all within a fast-paced environment, • High level of organizational skills required to adequately manage projects, monitor numerous live systems simultaneously, ascertain trends which may indicate problems and keep accurate up-to-date records Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $130,000 - $195,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

• 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.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is___, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO,, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. This role will involve hands-on work on cutting-edge projects, requiring innovative and passionate software engineers who can bring research into practical, scalable applications. As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance. While we’re focused on server optimization and data management rather than pure research, you’ll be working with some of the most advanced technologies in the cloud and server space. This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments. Responsibilities: • Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models., • Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions., • Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities., • Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability., • Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents. Qualifications We Value: • Bachelor’s degree in Computer Science or a related field., • 5+ years of experience in backend system architecture, cloud services, or related technology fields., • Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST., • Previous experience working with Virtual Agent or AI Agent systems., • Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases., • Experience in containerized application deployment using Kubernetes and Docker in microservices architectures., • Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards. Perks & Benefits: • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs, • Paid parental leave to support you and your family, • Monthly Health & Wellness allowance, • Work from home office stipend to help you succeed in a remote environment, • Lunch reimbursement for in-office employees, • PTO: 3 weeks in Canada Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

Mission Summary Our team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self-driving technology. We design and operate the high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models. This is a software engineering role focused on building robust platforms, not an SRE position. As a Staff Engineer, you will be the technical cornerstone of the team, setting the architectural vision and leading the development of critical infrastructure used by hundreds of engineers. What you'll be doing: • Architect and lead the development of highly scalable, distributed infrastructure services on Kubernetes., • Set the technical vision and roadmap for the team, making high-impact decisions that accelerate AV development., • Mentor and guide other engineers on the team, elevating the group's technical abilities through design reviews, pair programming, and direct feedback., • Get hands-on to build and deploy the most complex components of the platform, from high-throughput data processing services to core compute orchestration. What we're looking for: • 6+ years of professional software engineering experience., • BS, MS, or PhD in Computer Science or a related technical field., • Hands-on experience with Kubernetes (k8s) is a must. You have designed, built, and operated critical services on Kubernetes at a significant scale., • Proven experience building large-scale infrastructure. You have a deep understanding of the challenges in developing high-throughput, reliable distributed systems., • Expertise in Python, Go, or a similar language., • Strong experience with a major cloud provider (AWS, GCP, Azure)., • Demonstrated ability to lead complex, cross-functional projects from concept to production. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $172,000 - $229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit ___ and follow us on ___, ___, ___ and ___. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Company & Culture: At GT’s Living Foods, we’re more than just a company – we’re a community passionate about creating a healthier, happier world. Over the last 30 years we’ve built a culture of inclusivity and authenticity, where our shared values create an environment that inspires you to do your best while achieving meaningful results. Our mission to transform health and happiness through potent, living foods has established us as the #1 Kombucha brand and a leader in the Health & Wellness space. Requirements: • Minimum of 7–10 years of experience in enterprise data and analytics, with at least 3–5 years leading Power BI and data modeling initiatives., • Bachelor’s Degree: (or equivalent work experience) in Computer Science, Data Analytics, Information Systems, or related field. Job Responsibilities: We are seeking a seasoned Data Architect with deep expertise in Power BI and a passion for AI enablement. This critical role will lead the transformation of raw data into actionable insights, accelerate AI adoption, and support data-driven decision-making across our business. As a key member of the Business Intelligence & Analytics Team, the Data Architect will own the design, development, and governance of our Power BI environment. In addition to hands-on Power BI development, this individual will architect scalable, enterprise-grade reporting solutions, establish best practices, and lead a small team of BI developers and data analysts. The role involves close collaboration with cross-functional teams including IT, Sales, Finance, Marketing, Manufacturing, and Operations to deliver impactful dashboards and analytical tools that drive growth, operational efficiency, and commercial performance. Success in this role requires strong proficiency in enterprise data warehousing, along with expert-level knowledge of data modeling, data integration, visualization, best practices, and cloud-based storage solutions. Primary Accountabilities (35% Plan, 30% Build, 35% Run) Application Management: • Lead the development and optimization of enterprise-grade Power BI solutions, including semantic data models, DAX calculations, and scalable dashboards aligned with business KPIs., • Partner with business leadership and Business Systems Analysts to define analytical needs and ensure the Power BI application strategy supports organizational goals across commercial, supply chain, and finance functions., • Oversee the health and performance of the Power BI platform, ensuring alignment with service level agreements, delivery timelines, and end-user expectations., • Serve as a subject matter expert in Power BI and Microsoft AI capabilities, managing vendor relationships, training business users, and enabling efficient analytics adoption across the enterprise., • Continuously evaluate emerging trends in Power BI, Microsoft Fabric, Azure OpenAI, and data visualization to identify opportunities for innovation and system improvement., • Proactively manage risks related to Power BI platform operations by developing and enforcing data governance, usage policies, and support protocols., • Ensure system uptime, data accuracy, and availability meet or exceed agreed-upon business service levels and compliance standards., • Data Modeling: Collaborative Portfolio Management: • Collaborate closely with Business Systems Analysts and stakeholders to translate business and functional requirements into technical data architecture and visualization solutions., • Champion the adoption of advanced analytics and AI-driven features such as Power BI Copilot, Smart Narratives, and Azure OpenAI integrations to accelerate data-driven decision-making., • Facilitate cross-functional alignment by engaging subject matter experts and business units to evaluate and prioritize reporting and AI use cases that deliver measurable business value., • Lead reporting and analytics initiatives from ideation through execution—including stakeholder interviews, business case development, roadmap planning, technical delivery, and post-implementation optimization., • Design and institutionalize repeatable frameworks for KPI measurement, performance monitoring, and business self-service analytics leveraging certified Power BI datasets., • Provide comprehensive documentation, governance artifacts, and training materials to support scalable, secure, and sustainable adoption of analytics tools and methodologies. Technology and Operational Support: • Partner with IT, Data Engineering, and Infrastructure teams to deliver technically sound, performance stable, and secure Power BI solutions and underlying data pipelines, including Governance that define reporting standards, manage RLS, naming conventions, and promote self-service., • Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics., • Participate in the selection, evaluation, and renewal of technology partnerships and software agreements related to BI platforms and AI capabilities., • Offer ad hoc troubleshooting support and platform oversight, ensuring tickets are resolved in alignment with SLAs, and user satisfaction remains high., • Monitor and improve operational KPIs for reporting uptime, issue resolution, and data pipeline performance through continuous improvement initiatives. Knowledge, Skills, & Abilities: Experience • Proven experience designing enterprise reporting solutions using Power BI, including semantic models, DAX, and integration with Azure Data Lake and/or Dynamics 365 F&O., • Demonstrated success working cross-functionally with business stakeholders, Business Systems Analysts, and data engineering teams to deliver strategic analytics solutions Key Role Competencies • Strategic Thinking: Develops and articulates a vision for enterprise analytics and AI adoption. Aligns reporting solutions with broader business strategy and adapts to emerging technologies and organizational priorities., • Accountability: Owns deliverables related to reporting architecture, AI enablement, data governance, and platform stability. Sets clear expectations and leads a team toward measurable outcomes., • Performance Leadership: Coaches and mentors, a team of analysts and developers, implements performance standards, and ensures ongoing team growth and delivery excellence., • Navigating Ambiguity: Excels in fast-paced and evolving environments, especially when bridging business needs and technical realities across complex data ecosystems., • Functional/Technical Skills, • Power BI Expertise: Deep proficiency in Power BI development, DAX, Power Query (M), data visualization best practices, and enterprise dataset governance., • AI and Advanced Analytics: Hands-on experience enabling AI features within Power BI (e.g., Copilot, Smart Narratives, Q&A) and exposure to Azure OpenAI, SynapseML, or ML integration pipelines., • Data Integration & Modeling: Strong understanding of Azure Data Lake Gen2, Synapse Analytics, and data modeling for complex domains like make-to-order manufacturing, financials, and supply chain., • Governance & Enablement: Experience implementing data governance, RLS, self-service frameworks, certified datasets, and training programs to support scalable BI adoption., • Project & Portfolio Management: Skilled in managing reporting and AI projects from scoping to delivery. Familiarity with Agile, Scrum, or Kanban methodologies., • Stakeholder Engagement: Strong collaboration skills with functional leaders, analysts, and end-users to translate requirements into technical solutions., • Certifications: (Preferred), • Microsoft Certifications:, • Microsoft Certified: Power BI Data Analyst Associate (PL-300), • Microsoft Certified: Azure Enterprise Data Analyst Associate (DP-500 retired) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600 current), • Microsoft Certified: Azure Data Fundamentals (DP-900), • Project & IT Management:, • Certified Scrum Product Owner (CSPO), PMP, or Agile Certified Practitioner (ACP), • ITIL v4 Foundation (for service delivery alignment) GT’s Employee Experience (Benefits/Perks): • Health Insurance: Medical, Dental, Vision, and Life Insurance, • 401K with Matching, • Employee Assistance Program, • Discounts on the amazing GT’s product line, • Corporate Discounts with our partners through LifeMart (concert & sporting event tickets, cell phone service, gifts, restaurants, hotels, gyms, childcare, and more!) Job Details: • Work Hours: Monday through Friday, business hours; onsite 4 days (Vernon, CA); remote 1 days; with additional weekend or on-call requirements, • Work Attire: Use good judgment, keeping in mind the nature of their work, their safety and the safety of others, and their need to interact with the public., • Pay Range: $130,000 - $175,000 + Bonus eligible GT's Living Foods, LLC is an Equal Opportunity Employer committed to hiring a diverse workforce and maintaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, disability or any other basis protected under federal, state or local laws.

Fullstack Senior Software Engineer (React / Next.js / Azure) SMG is seeking a Fullstack Senior Software Engineer to design, build, and maintain scalable APIs and high-quality web applications using React, Next.js, and modern frontend tooling. In this role, you will help build and deploy cloud-based SaaS applications on Azure, with a focus on performance, reliability, and observability. About SMG From gathering feedback during experience design to optimizing each interaction throughout the customer journey, SMG helps ensure decisions are backed by data, not guesswork. What we offer - • Competitive compensation and benefits, • Unlimited PTO, • Company-issued equipment and tools, • A collaborative team that enjoys solving meaningful problems What you’ll do - • Build and integrate frontend applications with backend services and databases, including SQL and Snowflake, to deliver data-driven features, • Design and maintain scalable APIs and cloud-native services on Azure, • Champion CI/CD, automated testing, and trunk-based development for reliable releases, • Lead and contribute to technical design discussions, code reviews, and engineering standards, • Partner with product and design to turn real-world requirements into production-ready solutions, • Identify opportunities to improve performance, scalability, and reliability across the platform, • Mentor engineers and contribute to a strong learning culture, • 5+ years of experience building modern web applications, • Strong experience with JavaScript or TypeScript, React, and Next.js, • Solid understanding of system design, including APIs, caching, event-driven patterns, and client-server architecture, • Experience building and scaling applications in Azure, • Strong SQL and database design experience, • Ability to clearly explain technical decisions, tradeoffs, and implementation choices Application process We are more interested in how you think, what you have personally built, and the decisions you make than in polished or overly produced responses. Please keep your application answers concise, specific, and grounded in your own work. For this role, candidates should expect live video interviews, verification of identity and work authorization, and standard pre-employment checks consistent with applicable law. All interviews and assessments must be completed directly by the applicant.

Company OverviewResolveGrid is a recently funded startup building a next-generation SaaS platform focused on solving complex, real-world problems using modern software and AI. We are assembling a small, highly talented AI-first engineering team where engineers have meaningful ownership and influence from day one. Role OverviewWe are seeking a Founding Senior Full Stack Software Engineer with 10+ years of professional experience to help design, build, and scale ResolveGrid’s core SaaS platform. This is a hands-on role for someone who thrives in early-stage environments, takes end-to-end ownership, and actively uses AI as a core part of their development workflow. You will work across the entire stack—backend, frontend, and AI-powered capabilities—while helping define the technical direction and engineering culture of the company. Candidates must be based in Orange County, CA or willing to relocate and commute regularly to Irvine. • Act as a founding engineer, shaping architecture, engineering standards, and best practices., • Design, build, and maintain end-to-end features across the ResolveGrid SaaS platform., • Develop and operate backend services using Node.js with TypeScript/JavaScript., • Build and evolve frontend application flows using modern JavaScript/TypeScript frameworks., • Write and maintain Python services and supporting tools., • Design and implement AI-powered features, including: Chat agents and autonomous agents, Context management and memory strategies, Prompt engineering, evaluation, and iteration, and Agent workflows and orchestration., • Use AI coding agents (e.g., Cursor, Windsurf, Claude) as a first-class part of daily development., • Make architectural decisions with scalability, reliability, and maintainability in mind., • Collaborate closely with product and leadership on roadmap and execution., • Debug production issues and continuously improve system performance and reliability., • Mentor and help grow the engineering team over time., • 7+ years of professional software engineering experience., • Strong expertise in TypeScript/JavaScript and Node.js., • Proven experience building and operating SaaS platforms., • Solid production experience with Python., • Hands-on experience building AI-driven systems, including LLM-based chat or agent workflows., • Practical knowledge of prompt engineering, context/window management, and agent design patterns., • Demonstrated experience using AI coding agents (e.g., Cursor, Windsurf, Claude)., • Experience deploying and operating systems on AWS, GCP, or Azure., • Strong understanding of system design, APIs, and distributed systems., • Comfortable operating with ambiguity and high ownership in an early-stage startup., • Ability to work regularly from Irvine, CA (Orange County)., • Experience scaling early-stage or recently funded products., • Familiarity with vector databases, embeddings, and RAG architectures., • Experience with security, authentication, and multi-tenant SaaS systems., • Prior founding or early startup experience., • Be a founding engineer with real ownership and influence., • Join an AI-first, high-caliber engineering team that treats AI as a force multiplier., • Build production-grade AI systems with real customer impact., • Competitive compensation including meaningful equity., • Opportunity to grow into technical leadership as the company scales.#LI-DNI #LI-RemoteWe 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.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. * Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. * Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. * Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. * Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. * Mentor and develop Staff-level engineers across the org. * Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. * Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. * Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. * Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. * Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. * Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike. * Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences. * Languages: Python, TypeScript * Frameworks: FastAPI, React * Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure * Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore * Tools: Feature Flagging, Prometheus, Grafana, Datadog Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit ___ directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like ___, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published ___. As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. We're in search of a Staff Software Engineer who brings a passion for innovation and problem-solving, not limited to traditional coding. This role is for those with deep expertise in server-side languages, database technologies, and cloud infrastructure, excited to design and build the backbone of our AI solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high-performance back-end systems, and integrating advanced AI into data teams' daily workflows. Qualifications: Required: * 10+ years of experience building Python-based web application backends and the infrastructure on which they run * Extensive experience in building scalable back-end systems, APIs, and microservices * Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Preferred: * Experience with FastAPI for building high-performance APIs * Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs) * Strong proficiency in SQL, including query profiling, optimization, and performance tuning * Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (e.g., sqlglot) Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. * Intelligent SQL Ecosystem: Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements and implementing granular column-level lineage. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. * Competitive salary and equity * Base Salary Range: $50,000 - $120,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.4% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Senior Lead Software Engineer, DevOps Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive , and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer , you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: * Bachelor's degree * At least 6 years of experience in DevOps Engineering (Internship experience does not apply) * At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 6 years of Unix or Linux system administration experience Preferred Qualifications: * 9+ years of DevOps Engineering experience * 6+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) * 4+ years of experience in infrastructure design, implementation and delivery * 3+ years of experience with monitoring tools (Splunk or Zabbix) * 3+ years of experience with Container orchestration services including Docker or Kubernetes * 3+ years of experience working with Agile Development Practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Software Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Software Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Software Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering, 2. Deep understanding of AWS or Azure or GCP, 3. Code bases written in Python, Scala and or Java, 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Platform Engineer (Full-Stack / Orchestration Platform) Location: New York, NY (Hybrid or Remote) Compensation: $150,000 – $200,000 + Equity (0.25% – 0.5%) Industry: AI • Manufacturing • Logistics Headquarters: NYC About the Company Our client is a rapidly growing AI technology company collaborating with major global enterprises to solve high-impact operational challenges across manufacturing, logistics, and construction. Their mission is to build intelligent systems that simplify complexity — combining enterprise-grade infrastructure with cutting-edge AI to power the next generation of automation platforms. About the Role We're looking for a Platform Engineer with strong full-stack development expertise to help build and scale a powerful orchestration platform. This system allows enterprise users to visually design, automate, and execute sophisticated workflows powered by AI-driven logic and real-time data. You'll work on both the backend architecture and frontend experience, building highly performant, secure, and distributed systems that enable seamless process automation at scale. Key Responsibilities • Build and enhance a visual workflow orchestration platform for mission-critical enterprise operations., • Develop robust backend services using Go, Gin, PostgreSQL, and Redis, with a focus on scalability and performance., • Implement job scheduling, event-driven workflows, and real-time data handling across multi-cloud environments., • Design and maintain modern web interfaces using Next.js and TypeScript., • Drive reliability and resilience through security-first development, high availability, and observability best practices. What You'll Bring • Strong background in full-stack engineering, with proficiency in Go, TypeScript, React, and modern web frameworks., • Experience building distributed systems, working with PostgreSQL, Redis, and major cloud providers (AWS, GCP, or Azure)., • Familiarity with Docker, CI/CD automation, and infrastructure as code workflows., • Curiosity and hands-on experience in AI-enabled applications, workflow automation, and LLM integrations., • Exposure to vector databases, visual programming tools, or real-time orchestration engines is a plus. Go, TypeScript, React, Next.js, PostgreSQL, Redis, Docker, CI/CD, Cloud Platforms (AWS/GCP/Azure) Why You'll Love This Role You'll be joining a small, agile team at an AI-first company that's already raised $4M in funding. Here, your work directly shapes the technology used by top-tier enterprises every day. If you enjoy solving deep technical problems, building scalable systems, and pushing the boundaries of automation — this is the opportunity to make an impact. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. Third-party recruiters, please do not reach out for this role.

Senior Software Engineer Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business. They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join the team in their fastest growing stages. Location: Austin, TX and NYC (two openings) Salary: 200K-275K Bonus: annual and performance based 401K Match: n/a Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success. Position Summary As a Senior Software Engineer at Striveworks, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be helping to develop data storage and streaming features, tooling, and automation for their next generation MLOps platform. You will be rapidly prototyping and delivering proofs of concept for customers. You will work alongside a team of Data Scientists to integrate their work into functional products. Requirements • 5+ years of relevant experience, • Proficiency with Python (most important) and Golang, • Strong SQL skills, • Comfortability with Docker and Kubernetes, • Typescript experience, • Experience with public (AWS, GCP, Azure) and/or private (OpenStack) clouds, • Hadoop, Hive, or Spark experience

FAST Software Engineer Job Description Justification: Our client has been tasked with re-designing the NYC Secure App and an associated campaign to provide New Yorkers with a comprehensive set of tools and resources to prevent scam phone calls and text messages, educate vulnerable New Yorkers on prevention, and support New Yorkers with the resources they need when they have been victimized. Each year New Yorkers lose an estimated $6.5B to online and phone based scams, yet the city provides no systematic approach to protecting residents – this project will develop the technology and strategy to address that gap across programs including Cybersecurity, 311, and Digital Equity. Work Location: 15 Metrotech Center, Brooklyn, NY 11201 Scheduled Work Hours: Normal business hours, Monday through Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work). Projected Assignment Start Date: May 4, 2026 Projected Assignment End Date: November 1, 2026 Total Estimated Assignment Hours: 910 Hours (6 Months) Note: Normal Business Hours, Monday through Friday (not including a mandatory unpaid meal break after 6 hours of work), 35 work hours per week. If the consultant works more than 35 hours per week, the consultant must request overtime in the Agency's timekeeping system, and the project manager must approve those hours worked above the weekly maximum. Scope Of Services The developer will be responsible for overseeing the end-to-end technical execution of the new features in the NYC Secure App on iOS and Android and development of other digital resources as needed. The developer will deliver a scalable, privacy-centric systems that integrates with existing NYC data services, workflows, and web platforms. Tasks • Develop quality code that is well-documented, testable, and production-ready, • Be proactive and seek feedback to ensure best practice solutions that meet business needs, • Build web solutions that are scalable and secure and align with overall city digital architecture, • Write and conduct unit testing as agreed with the City Engineering leads, • Communicate technical decisions, needs, and priorities to engineers, product managers, and designers as part of a user-centered agile product delivery team, • Design the core logic with the existing vendor for the mobile application on iOS and Android to provide scam and spam protection for calls and texts, • Build a responsive, accessible frontend resource sites that ensures a consistent experience across all browser types and mobile devices and leverages the NYC Design System, • Apply rigorous industry-standard privacy and security standards and protocols to ensure that all user data remains private and secure, • Develop the technical bridges necessary to route digital reporting data into existing intake and reporting systems, • If necessary, learn new programming languages or frameworks, with help from City Engineering leads, to complete software development and testing tasks Note: Candidates who do not have the mandatory skills will not be considered • At least 4 years of experience as a software engineer or application developer, • Experience building responsive websites with full-stack expertise, • Experience collaborating with product designers on cross functional teams to ensure best user experience, • Experience working with Git based workflows, • Experience working in story based workflows (e.g., Azure DevOps, JIRA, Trello, or other story or kanban style workflow), • Experience leading technical design and writing implementation planning documents, • Experience integrating with design system libraries, • Experience with mobile application development (iOS, Android), • Experience developing for use cases with strong privacy and security needs and expertise with modern security protocols, encryption standards, and privacy-by-design engineering principles, • Experience working with large-scale organizational infrastructures or integrating software into legacy enterprise environments

Senior Lead Software Engineer - ML Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer - ML at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives and drive innovation in ML platform capabilities. Job Responsibilities • Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows., • Develop and optimize tools for model training, deployment, monitoring, and lifecycle management., • Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions., • Implement secure, high-quality production code for platform services, APIs, and automation pipelines., • Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations., • Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement., • Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices., • Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services., • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure, • Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), • Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL), • Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure, • Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring, • Experience developing APIs and platform services for ML workflows, • Solid knowledge of the software development life cycle and agile methodologies, • Familiarity with Databricks for scalable data engineering and ML platform integration, • Experience working with Snowflake for cloud-based data warehousing and analytics, • Exposure to Snorkel AI for programmatic data labeling and training data management, • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow), • Familiarity with feature stores, model registries, and ML metadata management, • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000–$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they’re scaling quickly and expanding their AI product line. As an early engineering hire, you’ll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you’ll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You’ll Do * Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end * Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) * Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation * Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs * Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) * Integrate with healthcare data standards and legacy pharmacy systems * Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications * 5+ years of software engineering experience with a strong backend focus * Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) * Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) * Strong API design skills (clean, versioned APIs) * Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability * Cloud experience (Azure, AWS, or GCP) * Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns * Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes * Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves * Experience integrating with healthcare/pharmacy systems or healthcare data standards * Experience building evaluation harnesses for agent reliability and hallucination mitigation * Prior work in regulated environments where correctness and auditability matter Compensation & Perks * Competitive compensation: $150k–$250k base + stock options * Full medical, dental, vision coverage * Unlimited PTO + 2 weeks company-wide holiday closure * Complimentary breakfast daily and weekly team lunches (in-office) * Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access—where execution quality matters and the impact is tangible.

Senior Software Engineer Job Description Company description: Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview: As a Manager Software Engineering, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiates Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey. Responsibilities: • Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows., • Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful., • Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products., • Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models., • Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers., • Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences., • 6+ years professional software-engineering experience (or 4+ years with a relevant advanced degree)., • Expert-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.)., • Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications., • Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.)., • Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex., • Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling., • Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. Compensation Range: $87,210 - $154,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. All your information will be kept confidential according to EEO guidelines. Veterans Encouraged to Apply.

Overview The Lead Backend Engineer on the AI Platform team plays a critical role in building, evolving, and leading the backend systems and engineering practices that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role combines hands-on backend engineering depth with technical leadership, delivery ownership, and mentorship for engineers working on business-critical systems. This role contributes to the development and evolution of core backend capabilities, including service-oriented architecture, APIs, workflow orchestration, event-driven integrations, identity and permissions, and operational tooling. In addition, the Lead Backend Engineer will drive buildouts of AI application infrastructure, LLM-powered product capabilities, agentic workflows, retrieval-augmented systems, evaluation pipelines, and shared platform patterns. Success requires strong technical judgment, sound systems thinking, and the ability to guide a team toward simple, scalable, and maintainable solutions in a cloud-based, regulated, high-stakes environment. The Lead Backend Engineer is expected to operate effectively in a modern engineering environment, using automation, observability, CI/CD, testing, infrastructure-as-code, and AI-assisted development practices to deploy, manage, and improve backend systems. In parallel, this individual will help set technical direction, break down ambiguous problems, mentor engineers, raise the quality bar through design and code review, and partner closely with Product, AI, Data, Operations, and business stakeholders to build both with AI and on top of AI responsibly, securely, and pragmatically. This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors. Responsibilities Scale High-Performance Distributed Systems • Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications, • Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend, • Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making, • Remain hands-on in critical areas of the codebase, especially where technical direction, architectural leverage, incident resolution, or execution speed requires senior engineering judgment Technical Direction & Architecture, • Lead the design of service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments, • Define practical patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, backward compatibility, and operational ownership, • Guide technical design reviews, architecture discussions, and implementation plans to ensure systems are simple, secure, reliable, observable, and maintainable, • Make sound technical tradeoffs that balance speed, simplicity, reliability, security, cost, and long-term platform leverage AI Product & Platform Development, • Lead the design and implementation of LLM-powered backend capabilities, including retrieval, tool use, workflow orchestration, structured outputs, human-in-the-loop review, evaluation, guardrails, and production monitoring, • Establish patterns for integrating AI systems with core services, data stores, document workflows, permissions, audit trails, operational decisioning, and user-facing product experiences, • Use AI-assisted development tools thoughtfully to accelerate software delivery while maintaining strong standards for code quality, testing, security, maintainability, and human ownership of technical decisions, • Partner with AI, Data, Product, and Operations teams to translate model capabilities, business workflows, and user feedback into reliable product experiences that improve over time Team Leadership & Delivery, • Lead, mentor, and develop backend engineers through technical guidance, design feedback, code review, pairing, coaching, and clear expectations for engineering quality, • Translate ambiguous business, product, and operational needs into clear technical plans, milestones, sequencing, risks, and execution paths for the team, • Coordinate delivery across engineers and partner teams, helping remove blockers, manage dependencies, clarify ownership, and keep work moving with urgency and discipline, • Help create a strong team culture grounded in ownership, high standards, candid feedback, pragmatic decision-making, and continuous learning Cloud Deployment & Operations, • Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure, • Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability, • Monitor production services using logging, tracing, metrics, alerting, and observability tooling to proactively identify and resolve issues, • Support secure, resilient, cost-conscious, and well-documented operation of cloud-based backend infrastructure and application services Reliability, Security & Compliance, • Build and lead systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support, • Implement and review authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns, • Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, release readiness, and production support, • Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment Cross-Functional Collaboration, • Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities, • Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions, while helping stakeholders understand technical tradeoffs and delivery risks, • Support downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrations, • Communicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, incidents, and delivery timelines Qualifications, • 5-8+ years of experience building and operating production-grade backend systems, APIs, services, or distributed applications, • 2+ years of experience operating in a technical lead, team lead, staff-level project lead, engineering manager, or equivalent engineering leadership capacity, • Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, code quality, and pragmatic architecture decision-making, • Experience designing, building, maintaining, and debugging services that run in production and support real users or business-critical workflows, • Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C#, • Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores, • Experience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matter, • Experience deploying and operating backend services on major cloud platforms such as AWS, GCP, or Azure, • Experience building AI-enabled product capabilities on top of LLMs, foundation models, retrieval systems, embedding and search infrastructure, agent or tool-calling patterns, workflow orchestration, structured outputs, and human-in-the-loop review, • Experience integrating AI capabilities with backend systems, permissions, audit trails, document workflows, data pipelines, APIs, operational decisioning, and business-critical user experiences, • Demonstrated ability to use AI-assisted development tools to improve engineering velocity while maintaining code quality, security, review discipline, and accountability for technical decisions, • Strong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patterns, • Experience leading technical design, breaking down ambiguous problems, sequencing work, managing dependencies, and helping engineers make high-quality implementation decisions, • Experience mentoring engineers through design review, code review, debugging, production support, career development, and feedback, • Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, compliance, and flexibility Preferred Experience, • Experience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domains, • Experience with queues, streaming, and event-driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systems, • Experience building secure identity, access control, permissions, audit trail, policy, or compliance-oriented backend capabilities, • Experience building high-volume, low-latency, multi-tenant, B2B, enterprise, or internal platform systems, • Experience with AI platform components such as model APIs, prompt management, embeddings, vector databases, retrieval pipelines, function calling, model routing, evaluation harnesses, and AI observability tooling You do not need prior fintech or finance experience to succeed in this role. If you are a strong backend engineering lead with solid technical judgment, a product mindset, and excitement for leading engineers through complex backend and AI-enabled systems problems, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply. Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. #LI-Remote

Lead Software Engineer We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the CONSUMER & COMMUNITY BANKING, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will help shape modern, cloud-based technology that supports how our customers save, spend, and manage their money. You will join a collaborative engineering team where your ideas matter, your growth is supported, and you can push the limits of what's possible. You will work on products that must be secure, resilient, and built for scale—delivering real impact for customers and the firm. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Deposits platform, you will be a core technical contributor on an agile team that builds and delivers secure, stable, and scalable software. You will drive solution design and engineering execution across multiple components and services, partner closely with peers and stakeholders, and improve the operational health of the platform through strong engineering practices. Job Responsibilities • Design and deliver secure, high-quality software solutions that solve complex problems and improve customer and business outcomes, • Develop production-grade code and perform thorough code reviews to improve maintainability, reliability, and team standards, • Influence architecture and engineering patterns for event-driven, microservices-based systems running in a cloud environment, • Lead technical evaluation sessions with internal teams and third parties to assess architectural fit, implementation quality, and risk, • Troubleshoot and resolve issues across the software stack, including participating in production support and incident resolution when needed, • Improve application stability by identifying recurring defects, conducting root-cause analysis, and driving preventative fixes, • Automate remediation and operational tasks where appropriate to reduce toil and improve service resilience, • Partner with product and technology stakeholders to translate requirements into scalable, well-defined technical solutions, • Contribute to engineering communities of practice by sharing knowledge, establishing reusable patterns, and promoting modern tools and techniques, • Promote an inclusive team culture grounded in respect, collaboration, and continuous learning Required Qualifications, Capabilities and Skills • Formal training or certification in software engineering concepts and 5+ years of applied experience in software development, • Hands-on experience across system design, application development, testing, and operational support/stability, • Strong proficiency in Java and Spring-based frameworks (e.g., Spring Boot) in production environments, • Experience building event-driven systems and microservices in a cloud environment, • Experience with distributed systems and at least one major cloud platform (Amazon Web Services, Google Cloud Platform, or Microsoft Azure), • Experience designing and building RESTful APIs, • Working knowledge of relational and NoSQL databases, including data modeling and performance considerations, • Hands-on experience with streaming/messaging technologies (e.g., Kafka); familiarity with Spark is a plus where relevant, • Experience with dependency injection and modular service design (e.g., using Spring), • Experience containerizing and operating services using Docker and Kubernetes (including Helm), • Experience improving automated testing and integrating tests into CI/CD pipelines Preferred Qualifications, Capabilities and Skills • Cloud certification and demonstrated experience building and operating cloud-native services, • Experience working in financial services or other highly regulated technology environments, • Experience leading and mentoring engineers with a focus on delivery quality and operational readiness, • Experience designing and implementing CI/CD automation and developer productivity tooling, • Experience translating reliability, performance, scalability, and observability needs into engineering designs and measurable outcomes, • Track record of identifying and implementing process improvements that increase team efficiency and software quality, • Familiarity with modern practices and tools in performance engineering and automation (e.g., load testing, profiling, and monitoring) About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About the Team Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

Senior Full Stack Engineer Long Island City, New York About the Role: We are seeking an exceptional Senior Full Stack Engineer to join our elite team. In this role, you will play a pivotal part in building both the frontend and backend services for Brkfst. Your responsibilities will extend to collaborating with our data science team to host models and deliver them through APIs. We are looking for engineers who can demonstrate a "bias to ship" mindset and a strong sense of urgency. Our goal is to assemble small teams of highly talented individuals who can independently solve problems and self-organize to achieve our objectives. Responsibilities include but are not limited to: • Full Stack Development: Lead the development of both frontend and backend services for Brkfst's innovative solutions., • RESTful Design: Create robust and scalable APIs following RESTful design principles., • Microservices Architecture: Design and implement microservices architecture to ensure flexibility and scalability., • Collaboration: Collaborate closely with product managers, data scientists, and TPMs to understand requirements and deliver high-impact solutions., • Model Hosting: Work with the data science team to host machine learning models and deliver them through APIs for integration into our products., • Autonomy: Operate with a high degree of autonomy and self-organization to drive projects forward without extensive oversight., • Bachelor's or Master's degree in a related field., • Proven experience as a Full Stack Engineer with a track record of delivering high-quality software., • 5+ years of experience in coding and programming with TypeScript, Python, or similar languages., • 3+ years of experience working with relational databases like MySQL or PostgreSQL., • 3+ years of experience working with front-end JavaScript libraries such as React, Angular, or Vue., • Proficiency in Docker containerization., • Hands-on experience with CI/CD pipelines and tools such as Azure Pipelines, Jenkins, or GitHub Actions., • Knowledge of cloud platforms (AWS, Azure, GCP)., • Experience with Scrum & Agile Methodologies., • Proficiency in RESTful API design and microservices architecture., • Excellent communication skills and the ability to work collaboratively in a cross-functional team., • Self-motivated, proactive, and able to work independently with minimal supervision., • Ability to quickly understand complex problems and devise effective solutions., • Familiarity with Event-Driven Architecture is a plus., • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $110,000-$137,000, • Level 2 - $137,000-$164,000, • Level 3 - $164,000-$191,000, • Level 4 - $191,000-$218,000 WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia

Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo. We're hiring a full-stack Software Engineer to help build Link's investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. This is not a role where requirements get handed down. You'll identify problems, design solutions, and ship - often in the same week. You'll need to be comfortable with ambiguity, confident making judgment calls independently, and energized by the kind of work where there's no established playbook. RESPONSIBILITIES: • Build and own the platform - design and maintain the application infrastructure, API layer, and shared services that power Link's Analytics Engine end-to-end. Microsoft Azure experience is preferred., • Set the technical foundation - make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right., • Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable., • Improve developer velocity - own the build, deploy, and testing pipeline and continuously reduce friction for the team., • Integrate AI-native workflows - build tools, prompts, and evals that put real analytical leverage in the hands of investment teams., • Work directly with stakeholders - engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate., • Lead by doing - mentor contractors and interns, set a high standard through code reviews, and bring teammates along without slowing down. QUALIFICATIONS:, • 5+ years of full-stack development experience, ideally including time in an early-stage or 0→1 environment, • Proven ability to ship end-to-end independently - from scoping a problem to deploying production code - without needing a designer, PM, or architect to unblock you, • Experience shipping LLM-native features or applications in production, • Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture, • Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs, • Sharp product instincts and a track record of making smart scope and architecture tradeoffs under pressure, • Direct, low-ego communicator - comfortable with hard feedback from internal users and fast to incorporate it PREFERRED QUALIFICATIONS:, • Experience building ML-powered application workflows and integrating data science outputs, • Familiarity with MCP or production LLM integrations, • Background at an AI-native company or in a product-focused founding environment, • Experience in real estate, finance, or other data-intensive industries $185,000 - $225,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience. Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, paid time off. The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. EEO Statement The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email .

Senior Platform Engineer, Workday (Workday Studio) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Workday Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Work with product owners to understand desired application capabilities and testing scenarios * Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business * Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. * Continually research, test and stay up-to-date on Workday updates, fixes and capabilities * Build & maintain thorough documentation for system implementation * Primary contact for questions related to how the system works from a business and a technical perspective * Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years of Workday platform engineering experience * At least 2 years of experience designing and developing integration solutions * At least 2 years of experience working with APIs within the Workday environment using REST or SOAP Preferred Qualifications: * Bachelor's Degree * 5+ years of experience working with Workday platform across HCM, Payroll, Benefits, Recruiting, Compensation or Talent and Performance Management * 3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions * 3+ years of experience working with APIs within the Workday environment using REST or SOAP * Workday Integration Developer certifications * 1+ years designing and developing solutions using Workday Extend * 1+ years of experience with AWS, GCP, Microsoft Azure or another cloud service * 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $131,300 - $149,800 for Senior Platform Engineer Chicago, IL: $119,400 - $136,200 for Senior Platform Engineer McLean, VA: $131,300 - $149,800 for Senior Platform Engineer New York, NY: $143,200 - $163,500 for Senior Platform Engineer Plano, TX: $119,400 - $136,200 for Senior Platform Engineer Richmond, VA: $119,400 - $136,200 for Senior Platform Engineer San Francisco, CA: $143,200 - $163,500 for Senior Platform Engineer San Jose, CA: $143,200 - $163,500 for Senior Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a Cloud Data Engineer, you'll play a key role in connecting cloud-scale data flows to real-world business outcomes. You'll architect solutions across platforms like Snowflake, Azure, Databricks, and AWS, working on complex, high-impact data products that matter. Whether you’re aiming for a futu

Job Description Overview CTG is seeking to fill a Full Stack QA Engineer (Automation, APIs, Cloud) position for our client. Location: New York, NY Duration: 12 months Why Join This Role? • Work across modern full-stack systems (UI, APIs, backend, mobile), • Drive automation strategy and CI/CD quality integration, • Contribute to scalable cloud-native applications (AWS, Kubernetes), • Build and maintain automated test frameworks across UI, API, and backend layers, • Perform functional, regression, integration, and performance testing, • Lead automation strategy and promote TDD/BDD practices, • Integrate automated tests into CI/CD pipelines for continuous testing, • Validate cloud-based applications (AWS) and containerized environments (Kubernetes), • Conduct API testing and ensure system reliability, scalability, and security, • Collaborate with engineering teams to improve code quality and testing coverage, • Strong QA and test automation experience, • Node.js / backend testing experience, • API testing (REST, Postman or similar tools), • Functional, regression, and performance testing, • Automation tools (Selenium, Cypress, Playwright, WebdriverIO, MochaJS), • CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps), • Kubernetes and container-based testing, • 6+ years of QA experience across full-stack applications, • Experience with automation frameworks and design patterns (POM, TDD, BDD), • Strong understanding of Agile/Scrum environments, • Experience with microservices and distributed systems preferred CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Rebecca Olan at . Kindly forward this to any other interested parties. Thank you!

Job Description We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias. The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America. We are seeking a talented Senior Software Engineer to join our Product team. In this role, you will work closely with cross-functional teams to design and develop innovative products that enhance our platform's functionality and user experience. We have engineering hubs in New York City and Vancouver, and this role is 5 days per week onsite in one of those offices. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person. Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your contributions will play a crucial role in enhancing our products and delivering value to our clients. Key Responsibilities: * Collaborate with product managers and designers to understand user requirements and translate them into technical specifications. * Design, develop, and maintain product features and enhancements for our platform. * Implement best practices in software development to ensure code quality, security, and performance. * Contribute to architectural decisions and continuously improve the technical stack. * Participate in code reviews and provide constructive feedback to peers. * Mentor junior engineers and contribute to a culture of knowledge sharing and learning. Minimum Qualifications: * Bachelor's degree in Computer Science or a related technical field. * 5+ years of experience in software development, with a focus on product engineering. * Proficiency in programming languages such as Python, Java, or similar. * Experience with modern web frameworks and technologies. * Strong problem-solving skills and the ability to think critically. * Excellent communication skills and the ability to work collaboratively in a team environment. Preferred Qualifications: * Experience with cloud platforms such as AWS or Azure. * Familiarity with microservices architecture and APIs. * Experience in Agile development methodologies. Benefits * Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team. * Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms. * Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start. * Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada. * Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision) ???? * 401k matching to help you save for your future ???? * Recharge: 4 weeks of paid time off & 5 additional personal/sick days ⛱️ * Daily team lunches ???? * Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to can hang out with teammates IRL at least twice a year ???? Salary Range: $150,000 - $250,000 USD Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects a range target for new hire salaries for the position and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

Skills and Requirements 7+ years of experience within Azure cloud systems administration and engineering/design Advanced knowledge of Azure best practices as it relates to deployment, scaling, data protection, security, and its integration with other Microsoft cloud-based solutions 5+ years of exper

You’ll work cross-functionally with engineering, security, and operations teams to drive reliability, scalability, and compliance across our multi-cloud and hybrid platforms. Partner with product and engineering teams in agile ceremonies to plan, deliver, and continuously improve. Requirements Req

As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk team, you will play a pivotal role in designing and implementing scalable hybrid cloud solutions. Proven experience in hybrid cloud architecture (AWS, Azure, GCP, or private cloud). Deep understanding of distributed sys

Job Description Senior Data Engineer – Cloud & AI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases. Key Responsibilities: • Architect and develop scalable data pipelines and cloud-native data solutions, • Collaborate with data scientists, analysts, and business stakeholders, • Strong experience in data engineering and cloud-based architectures, • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery, • Experience with ML/AI pipelines (Python, PyTorch, MLOps), • Exposure to GenAI frameworks such as LangChain or agent-based systems

Job Description Job Title:Backend Engineer Job Type: Contract Location: Remote Job Summary: Join our customers team as a Backend Engineer, where youll architect and build robust, scalable backend systems powering innovative digital products. Collaborate with top-tier engineers in a dynamic, expert environment while driving forward the core technology infrastructure. This is a fantastic opportunity for backend specialists passionate about solving complex challenges and delivering high-impact solutions. Key Responsibilities: • Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements., • Collaborate cross-functionally to translate business needs into technical specifications and impactful backend solutions., • Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences., • Write clean, well-documented, and thoroughly tested code, adhering to best engineering practices., • Participate actively in code reviews, mentoring, and knowledge sharing sessions with fellow engineers., • Monitor, troubleshoot, and resolve backend issues in production environments, targeting root causes and continuous improvements., • 3+ Years Proven expertise in backend development using modern programming languages., • Extensive experience designing and implementing RESTful APIs and microservices architectures., • Strong proficiency with relational and NoSQL databases, along with data modeling principles., • Deep understanding of system security, authentication, and authorization best practices., • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)., • Excellent written and verbal communication skills, with a collaborative and proactive approach., • Familiarity with event-driven or server less architectures., • Experience with CI/CD pipelines and automated testing frameworks., • Background in mentoring or technical leadership within backend teams.

Date: Mar 17, 2026 Location: Remote, US Requisition ID: 37592 About Avaya Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.The Avaya Infinity™ platform unifies fragmented customer experiences, connecting

A tech-driven firm is looking for an innovative Azure Cloud Engineer. You will be responsible for designing and developing cloud application architectures, leveraging technologies like Kubernetes, Terraform, and Azure. The role requires a Bachelor's degree and 3+ years managing cloud deployments.

NIST controls) + Hands-on delivery in Agile environments (Scrum, Kanban, SAFe, or similar) + Strong written and verbal communication and the ability to work effectively on distributed teams Ideally, you'll also have + Deeper hands-on experience with: + **Git-based source contr

Drive compliance with architectural principles and engineering standards across application software engineering. Engineer robust solutions using Microsoft Azure, PaaS services,. Mentor junior engineers, foster continuous improvement, and uphold clean code principles.