10 jobs found

Genesis10 is seeking a DevOps Engineer for a contract position with a financial services client located in New York, NY. This is a hybrid position and requires being onsite 3 days per week. Summary: We are seeking a DevOps Engineer with hands-on, production-level experience designing, securing, and operating enterprise CI/CD pipelines for modern cloud-based applications. This role requires far more than GitLab source control experience-you will own automated software delivery pipelines, implement governance and security best practices, and enable reliable deployments across multiple application stacks and cloud environments. The ideal candidate has a strong background in GitLab CI/CD, cloud-native application deployments, container technologies, Azure, DevSecOps, and infrastructure automation, with experience supporting enterprise software delivery at scale. Key Responsibilities: GitLab CI/CD Engineering Design, build, maintain, and troubleshoot multi-stage GitLab CI/CD pipelines using .gitlab-ci.yml Configure and manage GitLab runners, artifacts, caching, CI/CD variables, deployment environments, approvals, and deployment gates. Develop reusable pipeline templates, shared components, include files, and parent/child pipelines to standardize delivery across teams. Implement GitLab governance, including branching strategies, merge request workflows, CODEOWNERS, protected branches/tags, merge trains, and approval rules. Monitor and optimize pipeline performance, reliability, observability, and maintainability. Integrate automated testing, security scanning, dependency scanning, secret detection, container scanning, and policy-based quality gates into delivery pipelines. Application Build & Deployment Build, test, package, and deploy enterprise applications across one or more of the following technology stacks: .NET / C# Java Python Node.js / JavaScript / TypeScript Candidates should understand the unique CI/CD requirements of each platform, including dependency management, build optimization, testing frameworks, artifact creation, security scanning, containerization, and deployment strategies. Cloud & Container Deployment Deploy and manage containerized applications through GitLab CI/CD into Azure-based environments. Build, tag, scan, and publish Docker container images using Azure Container Registry (ACR) or comparable cloud registries. Configure deployment workflows across Development, Test, UAT, and Production environments with approvals, promotions, rollback strategies, and health validation. Manage Docker images, networking, runtime configuration, logging, monitoring, and release processes. Integrate Infrastructure-as-Code solutions such as Terraform, Bicep, ARM Templates, or CloudFormation into CI/CD pipelines. Azure & AWS Cloud Technologies Support cloud-native deployments using foundational Azure and AWS services. Azure Azure Container Registry (ACR) Azure Key Vault Microsoft Entra ID Azure RBAC Azure Storage Azure Monitor Virtual Networks Resource Groups Service Principals and Managed Identities AWS EC2 IAM VPC S3 CloudWatch ECR ECS Amazon Machine Images (AMIs) / Golden Images Secrets Management & Identity Integrate Azure Key Vault into CI/CD workflows for secure management of secrets, certificates, API keys, and connection strings. Implement secure credential management using masked GitLab variables, environment isolation, least-privilege access, and credential rotation. Configure GitLab authentication to Azure using Service Principals, Microsoft Entra ID, Azure RBAC, and secure identity practices. Experience with Workload Identity Federation/OpenID Connect (OIDC) is a plus. AI-Assisted Engineering Utilize AI-assisted development tools such as Claude Code or comparable solutions to improve development, testing, documentation, debugging, and code quality. Ensure AI tools are used responsibly within enterprise governance standards while maintaining human oversight, secure coding practices, and protection of proprietary code and sensitive information. DevSecOps & Enterprise Governance Support enterprise release governance, auditability, access controls, and separation-of-duties requirements. Collaborate with software engineering, cloud infrastructure, platform engineering, and security teams to establish scalable CI/CD standards and improve developer productivity. Champion DevSecOps best practices across the software development lifecycle. Required Qualifications: 5+ years of experience designing and supporting enterprise CI/CD pipelines. Strong hands-on experience with GitLab CI/CD in production environments. Experience creating reusable GitLab pipeline templates and deployment automation. Experience deploying containerized applications using Docker and Azure container services. Strong knowledge of Azure cloud services, identity, networking, monitoring, and security. Working knowledge of AWS cloud services and container deployment concepts. Experience integrating Infrastructure-as-Code into CI/CD pipelines. Solid understanding of DevSecOps principles, automated testing, and application security. Experience implementing secure secrets management and identity integration. Strong troubleshooting, automation, and scripting skills. Excellent communication and collaboration skills. Preferred Qualifications: Experience supporting enterprise financial services or other highly regulated environments. Experience with Azure Kubernetes Service (AKS), Kubernetes, or other container orchestration platforms. Experience with Terraform, Bicep, ARM Templates, or CloudFormation. Familiarity with OpenID Connect (OIDC) and Workload Identity Federation. Experience using AI-assisted developer tools such as Claude Code, GitHub Copilot, or similar enterprise AI coding platforms. Experience driving CI/CD standardization and platform engineering initiatives across multiple development teams. The pay rate range for this position is $70 - $90 per hour If you have the described qualifications and are interested in this exciting opportunity, apply today! Genesis10 Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) Remote opportunities available For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Hiring: Principal Infrastructure Engineer Location: San Francisco, CA (Hybrid) Employment Type: Contract (C2C/W2) Work Authorization: USC / H4 EAD / H1B Apply: We are looking for an experienced Principal Infrastructure Engineer to design and deploy scalable, secure infrastructure for Nextdata OS across multi-cloud environments. This is an exciting opportunity to work on Kubernetes-native technologies, cloud infrastructure, CI/CD automation, and large-scale distributed systems. Key Responsibilities Design and implement deployment models for PaaS, SaaS, and customer-managed environments. Build scalable Infrastructure-as-Code (IaC) solutions using modern cloud technologies. Develop and optimize CI/CD pipelines for cloud-native applications. Deploy and operate secure, highly available Kubernetes platforms across multi-cloud environments. Collaborate with customers, product teams, and engineering to deliver scalable infrastructure solutions. Drive platform reliability, observability, security, and performance optimization. Conduct infrastructure code reviews, security reviews, and architecture improvements. Support production environments and ensure operational excellence. Required Qualifications Bachelor's Degree in Computer Science, Engineering, or a related field. 8+ years of Infrastructure Engineering experience. Strong expertise in Kubernetes (EKS, GKE, AKS) and Docker. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation). Experience with AWS, Azure, and GCP cloud platforms. Strong experience building CI/CD pipelines for cloud-native applications. Experience deploying and managing PaaS and SaaS platforms. Knowledge of data and ML platforms including Snowflake and Databricks. Experience with cloud networking (AWS VPC, Azure VNet, GCP VPC). Experience with observability tools (Prometheus, ELK Stack, Grafana, or similar). Experience with service mesh technologies such as Istio or Linkerd. Strong understanding of cloud security, scalability, reliability, and distributed systems. Excellent troubleshooting, automation, and customer-facing communication skills. Interested candidates, please share your updated resume to: Rachael IT Services Development Staffing Email: Direct:

Job Title: Embedded Software Engineer (Sr Levels) Department: Engineering Reports To: Director of Engineering FLSA Status: Exempt Job Summary Vanteon is seeking a Principal Embedded Software Engineer to join our team. The position will design and develop Petalinux Board Support Package and MAC layer communications firmware for custom hardware. Specific platforms would include the AMD/Xilinx Zynq ARM and ADI ADRV900X Transceiver platforms. Duties/Responsibilities The following is a list of expected duties to be involved in this position; this is not fully inclusive, and management may assign other duties: Analyze system for identification of use cases and development of System Requirement Specifications. Design and implement embedded software, device drivers, and board support packages. Investigate and propose project-related technologies to meet requirements. Create technical documentation including Software Requirements Specifications, Design Documents, Test Summary Reports, and development notes. Collaborate with hardware and other engineers for design and integration efforts. Define and execute engineering verification and acceptance criteria tests. Mentor more junior engineers. Supervisory Responsibilities None Required Skills & Knowledge Embedded systems software for real-time bare-metal, RTOSs, and embedded Linux-based systems. Multi-threaded programming, distributed design, device driver development, and hardware-level. diagnostics, MAC sublayer, BIOS / Bootloader development and configuration, and interrupt handling. BSP creation and new custom hardware bring-up for bare-metal, RTOS, and embedded Linux platforms. Proficient with C/C++ and able to work at the assembly level for embedded processors. Advanced object-oriented design approaches to reusable software systems design. Experience using embedded tools such as compilers, debuggers, ICE, and emulators. Experience with common build management systems (make, etc.) and git version control systems. Hardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.). Proven track record of successful product completion and deployment. Excellent written and verbal communication and analytical skills. Highly motivated, well-organized self-starter. Desired Skills AMD/Xilinx FPGA HDL, hardware configuration, and block design familiarity. AMD/Xilinx Petalinux/Yocto bring-up, customization, and Zynq hardware integration. ADI ADRV9002 configuration and control. Experience with Python for testing standardization, automation, and test fixturing. Linux Yocto build recipes. Linux kernel and application software development. Linux Ethernet driver stack configuration and routing (OpenWRT, etc.). Experience with common CI/CD tools and containerize development methodologies. Experience with UML design modeling and tools. Secure Bootloaders, Binary Signing and Encryption, and TPM integrations. OpenAmp Education and Experience BS EE/CE/CS/SE 5+ years' experience in embedded systems software Other Requirements Training and regular duties require a physical office presence. Although Vanteon will comply with all NYS/Federal requirements related to COVID-19, candidates will be expected to work on-site. Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Physical Requirements Prolonged periods sitting at a desk and working on a computer Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching. Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range A candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. The estimated range for specific positions associated with this job posting is: Principal Engineer - $115,000 to $135,000 Senior Principal Engineer - $130,000 to $150,000 Applying Applicants should submit a resume and cover letter to Ronnie Ells - . Please note that all offers for hire are contingent on passing e-verify, background, and drug screenings. In addition, you must be able to work with ITAR and CUI data. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.

Principal Full Stack Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. About the Role Lead the architecture and delivery of production-grade AI-powered systems across the full stack. Operate at the intersection of applied AI research and software craftsmanship - designing agentic workflows, integrating large language models, and establishing engineering practices at scale. Serve as the technical standard-bearer for how the organization builds, evaluates, and operates AI features. Partner with Engineering and Data to translate ambiguous business problems into concrete technical roadmaps. Drive AI engineering strategy across the stack, authoring RFCs and leading design reviews that raise the bar for the entire engineering org. What You'll Do Design and own end-to-end AI features: from prompt engineering and model selection through to scalable APIs and responsive front-end surfaces. Architect multi-agent and agentic workflow systems using frameworks such as LangGraph, CrewAI, AutoGen, or custom orchestration layers. Build retrieval-augmented generation (RAG) pipelines with production-grade chunking, embedding, indexing, and reranking strategies. Integrate LLM providers (OpenAI, Anthropic, Gemini, local models via Ollama / vLLM) with robust fallback, rate-limiting, and cost controls. Deliver polished, accessible front-end experiences in React that expose AI capabilities with low latency and graceful degradation. Build and maintain high-throughput back-end services in Node.js, or Go serving as the inference and orchestration layer. Define and implement LLM evaluation frameworks evals, red-teaming, regression suites to continuously measure model quality in production. Instrument AI pipelines with tracing, latency histograms, and cost dashboards using tools such as LangSmith, Helicone, or Grafana Embed responsible-AI practices: hallucination mitigation, PII redaction, output guardrails, and bias monitoring into every feature. Mentor senior engineers, conduct rigorous code and architecture reviews, and contribute to hiring by defining role expectations and screening candidates. What We're Looking For 8+ years of professional software engineering with at least 2 years building production AI / ML systems. Expert-level proficiency in Go and TypeScript / JavaScript; comfortable owning the full stack from model to UI. Hands-on experience designing and shipping LLM-powered features including prompt engineering, fine-tuning, and RLHF concepts. Deep understanding of transformer architectures, token economics, context window management, and inference optimization. Proven track record with RAG architectures, embedding models, and semantic search at scale. Strong grasp of distributed systems, API design, and cloud-native infrastructure (AWS) Experience with MCP (Model Context Protocol), tool-use patterns, and multi-agent orchestration in production. Demonstrated ability to lead without formal authority, influencing direction through technical credibility and clear communication. Contributions to open-source AI projects or published technical writing on AI engineering topics preferred. Experience in regulated or enterprise environments where auditability, security, and compliance are first-class concerns is a plus. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Our client, a major bank in New York City, is looking for Senior Solutions Architect Developer - Payment Systems (Director Level). New York City Location. This is hybrid commute, 2/3 days per week in the office. Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 180 - 200K, plus around 20% bonus, plus great benefits package. Senior Solutions Architect Developer - Payment Systems and Customer Reporting. In this role you will be responsible for the design, development, and production support of modern web applications and digital platforms supporting banking customers. This role is a fully hands-on senior system developer with deep expertise in Angular-based front-end development, complemented by strong capabilities in back-end services, database design, and full-stack solution delivery. You will work closely with product, business, architecture, security, and infrastructure teams to build secure, scalable, and regulatory-compliant digital banking experiences. The role demands ownership of the end-to-end development lifecycle, including UI, APIs, data layer, and deployment artifacts, ensuring alignment with enterprise architecture standards and banking regulatory requirements. PRINCIPAL DUTIES AND RESPONSIBILITIES Web Application Design & Development Design and develop enterprise-grade Angular web applications for corporate and institutional banking customers. Build responsive, accessible, and high-performance user interfaces aligned with UX/UI standards. Implement modular architecture using Angular/React best practices. Ensure cross-browser compatibility and mobile responsiveness. Full-Stack Development Develop and integrate RESTful and/or GraphQL APIs. Build backend services using modern frameworks (Java/Spring Boot, .NET, Node.js). Create and maintain database objects including tables, views, stored procedures, and functions. Write efficient SQL queries and optimize data access. System Architecture & Solution Design Translate business requirements into scalable technical solutions. Contribute to microservices and API-first architectures. Design solutions aligned with enterprise architecture principles, cloud strategy and regulatory requirements using scalable, resilient, and secure integration patterns. Support modernization initiatives including real-time payments and API-led architectures. Banking & Secure Application Development Develop applications compliant with banking regulations and security policies. Implement secure coding practices (SSO, OAuth2, OIDC, Encryption). DevOps & Delivery Participate in CI/CD pipeline implementation. Ensure code quality via testing and reviews. Support production releases and issue resolution. Technical Leadership & Collaboration Mentor team members and contribute to design reviews & collaborate with cross-functional teams. MINIMUM JOB REQUIREMENTS OR EXPERIENCE 10+ years of overall technology experience with significant experience in Angular and full-stack development in banking or financial services Proven experience architecting mission-critical, high-volume, regulated systems. Knowledge of payment rails, clearing models, and settlement mechanisms. Knowledge of architecture design aligned with ISO 20022 and other financial messaging standards. TECHNICAL SKILLS Core - Must Have Enterprise and solution architecture experience in banking or payments. Distributed systems, microservices, and event-driven architectures. Seasoned C# / .NET developer. Azure cloud experience. Security architecture, authentication, authorization, and data protection. Angular, TypeScript, HTML5, CSS3 REST APIs and state management Backend development (Java, .NET, Node.js) Database expertise and SQL optimization CI/CD tools experience (full DevOps and App code scans) Preferred / Nice to Have Strong understanding of payment lifecycles and ISO 20022. Understanding of domestic and cross-border payment processing solutions. Education and Other Requirements Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience. Strong communication skills and ability to influence senior stakeholders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI0ef29b31cccb-4236