McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/14/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! 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, and Illinois) 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 of 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.
11/14/2026
Full time
Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! 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, and Illinois) 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 of 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.
Job Description Low Latency C++ Engineer (High-Frequency Market Making) Location: Chicago, IL Compensation: $200,000 - $300,000 Base + Highly Competitive Bonus Structure About the Firm We are representing a premier, globally recognized electronic market maker. Operating across a vast spectrum of asset classes, this firm provides liquidity to the world's most competitive exchanges. Their edge lies in their ability to process massive amounts of market data and update quotes in nanoseconds. They offer a purely engineering-driven environment where technologists have direct, visible impact. The Role We are seeking an elite C++ Developer to join the core market-making infrastructure team. You will be tasked with architecting and optimizing systems capable of ingesting massive bursts of L3 data and executing thousands of orders per second without degradation. This role is strictly focused on low-latency C++ systems engineering, hardware optimization, and network-level performance. Key Responsibilities Architect and optimize scalable, ultra-low-latency quoting engines and order management systems for global exchanges. Develop highly resilient, deterministic direct market access (DMA) gateways and feed handlers capable of processing massive tick data volumes. Eliminate latency at every level of the stack; from tweaking Linux kernel parameters and network protocols to optimizing CPU cache lines. Utilize kernel bypass (Solarflare, Mellanox) and hardware-acceleration concepts to minimize tick-to-trade latency. Work closely with high-frequency traders to translate complex liquidity-provision strategies into flawless, high-performance C++ code. Ideal Candidate Profile 5+ years of experience building mission-critical, high-throughput systems within a top-tier market making or HFT environment. Mastery of modern C++ (C+/17/20) with a strong emphasis on writing deterministic, zero-allocation code on the critical path. Deep expertise in low-level Linux systems programming, network programming (TCP/IP, UDP, Multicast), and concurrency. Familiarity with exchange microstructure, order book dynamics, and native binary protocols (e.g., OUCH, BOE). Highly analytical mindset, capable of operating autonomously to diagnose infrastructure constraints and deliver robust architectural solutions. Hit Apply Apply!
11/14/2026
Full time
Job Description Low Latency C++ Engineer (High-Frequency Market Making) Location: Chicago, IL Compensation: $200,000 - $300,000 Base + Highly Competitive Bonus Structure About the Firm We are representing a premier, globally recognized electronic market maker. Operating across a vast spectrum of asset classes, this firm provides liquidity to the world's most competitive exchanges. Their edge lies in their ability to process massive amounts of market data and update quotes in nanoseconds. They offer a purely engineering-driven environment where technologists have direct, visible impact. The Role We are seeking an elite C++ Developer to join the core market-making infrastructure team. You will be tasked with architecting and optimizing systems capable of ingesting massive bursts of L3 data and executing thousands of orders per second without degradation. This role is strictly focused on low-latency C++ systems engineering, hardware optimization, and network-level performance. Key Responsibilities Architect and optimize scalable, ultra-low-latency quoting engines and order management systems for global exchanges. Develop highly resilient, deterministic direct market access (DMA) gateways and feed handlers capable of processing massive tick data volumes. Eliminate latency at every level of the stack; from tweaking Linux kernel parameters and network protocols to optimizing CPU cache lines. Utilize kernel bypass (Solarflare, Mellanox) and hardware-acceleration concepts to minimize tick-to-trade latency. Work closely with high-frequency traders to translate complex liquidity-provision strategies into flawless, high-performance C++ code. Ideal Candidate Profile 5+ years of experience building mission-critical, high-throughput systems within a top-tier market making or HFT environment. Mastery of modern C++ (C+/17/20) with a strong emphasis on writing deterministic, zero-allocation code on the critical path. Deep expertise in low-level Linux systems programming, network programming (TCP/IP, UDP, Multicast), and concurrency. Familiarity with exchange microstructure, order book dynamics, and native binary protocols (e.g., OUCH, BOE). Highly analytical mindset, capable of operating autonomously to diagnose infrastructure constraints and deliver robust architectural solutions. Hit Apply Apply!
Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.
11/14/2026
Full time
Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.
Job Description Quantitative Developer - Risk - Trading Desk Lead Financial Services Firm Hybrid On-Site Total Comp: Base + Cash Bonus - Advertised Basic Salary Only. The Opportunity A leading global financial services is seeking an experienced Quantitative Developer to build sophisticated risk infrastructure and quantitative analytics platforms supporting its equity derivatives trading desk. We are particularly interested in developers who combine strong Computer Science fundamentals with a deep understanding of quantitative risk methodologies and production-grade engineering. Key Responsibilities Design and develop scalable risk analytics platforms and quantitative infrastructure using Python. Build and enhance frameworks supporting equity factor models, portfolio exposures, risk attribution and performance analytics. Implement quantitative methodologies for factor decomposition, covariance estimation and portfolio risk measurement. Engineer high-performance systems capable of processing large volumes of market, security and portfolio data. Develop robust Python libraries, APIs and distributed calculation frameworks supporting quantitative risk models. Work closely with Risk Quants to translate statistical models and research methodologies into production-ready applications. Optimise computational efficiency, memory usage and processing performance across complex analytical workloads. Contribute to software architecture, data pipelines and engineering standards across the risk technology platform. Requirements 5+ years of professional Quantitative Development or Software Engineering experience within financial markets. Advanced Python software engineering expertise, including object-oriented design, algorithms, data structures and application architecture. Proven experience building production-grade Python applications, libraries or quantitative platforms - not simply Python scripting or data analysis. Strong understanding of equity factor risk models, including their construction, implementation and practical application. Experience with portfolio risk analytics, factor exposures, risk attribution or quantitative modelling. Strong knowledge of SQL, data engineering and large-scale financial datasets. Understanding of distributed computing, performance optimisation and scalable backend systems. Academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline. Ability to collaborate effectively with Quantitative Researchers, Risk professionals and Software Engineers.
11/14/2026
Full time
Job Description Quantitative Developer - Risk - Trading Desk Lead Financial Services Firm Hybrid On-Site Total Comp: Base + Cash Bonus - Advertised Basic Salary Only. The Opportunity A leading global financial services is seeking an experienced Quantitative Developer to build sophisticated risk infrastructure and quantitative analytics platforms supporting its equity derivatives trading desk. We are particularly interested in developers who combine strong Computer Science fundamentals with a deep understanding of quantitative risk methodologies and production-grade engineering. Key Responsibilities Design and develop scalable risk analytics platforms and quantitative infrastructure using Python. Build and enhance frameworks supporting equity factor models, portfolio exposures, risk attribution and performance analytics. Implement quantitative methodologies for factor decomposition, covariance estimation and portfolio risk measurement. Engineer high-performance systems capable of processing large volumes of market, security and portfolio data. Develop robust Python libraries, APIs and distributed calculation frameworks supporting quantitative risk models. Work closely with Risk Quants to translate statistical models and research methodologies into production-ready applications. Optimise computational efficiency, memory usage and processing performance across complex analytical workloads. Contribute to software architecture, data pipelines and engineering standards across the risk technology platform. Requirements 5+ years of professional Quantitative Development or Software Engineering experience within financial markets. Advanced Python software engineering expertise, including object-oriented design, algorithms, data structures and application architecture. Proven experience building production-grade Python applications, libraries or quantitative platforms - not simply Python scripting or data analysis. Strong understanding of equity factor risk models, including their construction, implementation and practical application. Experience with portfolio risk analytics, factor exposures, risk attribution or quantitative modelling. Strong knowledge of SQL, data engineering and large-scale financial datasets. Understanding of distributed computing, performance optimisation and scalable backend systems. Academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline. Ability to collaborate effectively with Quantitative Researchers, Risk professionals and Software Engineers.
Job Description Senior Software Engineer, Backend - Booking Platform & APIs New York, NY We are representing a client that is hiring a Senior Software Engineer to lead the technical work and be the primary hands-on builder for our API. In your first year, multiple distribution partners and an authorized AI agent should complete real bookings through the same versioned API. You will evolve a production Rails and Postgres booking system used by millions of guests. The hard work is keeping prices and inventory correct, preventing overselling, surviving retries and partial failures, and reconciling systems when they disagree. Your ownership and team You will own the API's day-to-day technical roadmap and design decisions. In this hands-on individual contributor role, you will write production code, lead focused designs, guide migrations, and operate what you build. You will partner with our Staff Engineer on foundational domain and architecture choices. You will be the primary builder, but you will not work alone. Other backend engineers will contribute and build supply, PMS, and POS connectors using the patterns you establish. Product, Partnerships, and hotel operations will work with you from requirements through production launch. This is one of our highest-impact technical bets. What you build will determine how quickly Our client can enter new booking channels and categories. This role works from our NYC headquarters four days per week. The base salary range is $190,000-$210,000, plus equity, based on experience. What you'll do Build and launch the external Client API. Define stable, versioned contracts for live pricing, availability, holds, booking creation, changes, and cancellations. Make booking operations safe under real failures. Design idempotency, recovery, webhooks, and reconciliation for retries, timeouts, duplicates, and partial success. Evolve the core booking domain. Create clear models and invariants for products, schedules, prices, inventory, holds, carts, and bookings. Make the platform extensible. Prove that a new category such as events or food and beverage can use the shared booking model instead of requiring a separate system. Own the architecture for supply, PMS, and POS integrations. Create reusable connector patterns so other engineers can add partners without reinventing failure handling and reconciliation. Define the data contracts that keep inventory discoverable through OpenSearch. Search is supporting technology for this role, not its primary ownership area. Operate what you build. Set reliability and latency targets, and add the tests, metrics, dashboards, alerts, tracing, and runbooks needed for a critical booking path. Turn partner needs into durable platform capabilities, explain tradeoffs clearly, and raise the engineering bar through practical reviews and mentoring. How we ship We move quickly by building quality from the start. A change is done when it is tested, deployed, observable, and safe to roll back. We use AI tools aggressively, but engineers remain accountable for architecture, correctness, and production outcomes. Tech stack Backend: Ruby on Rails, Node.js Data: Postgres, MongoDB Search: OpenSearch APIs and integrations: REST, OpenAPI, webhooks Infrastructure and observability: AWS, Datadog Testing: RSpec, Playwright Who you are We encourage candidates to apply even if they do not match every line below. You have 6+ years of software engineering experience, or a track record of equivalent impact. You have designed transactional systems, built external APIs or integration platforms, and safely evolved data models in production. You understand relational modeling, concurrency, consistency, asynchronous workflows, and distributed failures. You turn complex business rules into clear boundaries, lifecycle states, contracts, and invariants. You can lead an important system as its primary builder while collaborating on foundational decisions. You care about correctness, testing, observability, and safe rollouts. You communicate directly, listen well, and improve the work of engineers around you. Ruby on Rails experience is useful, but not required. Experience with marketplaces, reservations, inventory-constrained commerce, public APIs, or third-party booking systems is also helpful. We care most about your backend judgment, track record, and ability to learn. What success looks like in 6-12 months Multiple distribution partners and an authorized AI agent complete real bookings through one reusable API. The full booking lifecycle meets agreed targets for correctness, success rate, latency, overselling, recovery, and reconciliation. Reusable contracts and connector patterns materially reduce the work required to onboard the next partner. The shared booking model supports at least one new category without a separate booking system. As the API becomes a company-wide platform, this role can grow toward Staff through demonstrated impact across the booking domain, integrations, and distribution. Benefits Health, dental, and vision coverage, with our client contributing to monthly premiums Stock options 401(k) plan Unlimited paid time off Paid parental leave
11/14/2026
Full time
Job Description Senior Software Engineer, Backend - Booking Platform & APIs New York, NY We are representing a client that is hiring a Senior Software Engineer to lead the technical work and be the primary hands-on builder for our API. In your first year, multiple distribution partners and an authorized AI agent should complete real bookings through the same versioned API. You will evolve a production Rails and Postgres booking system used by millions of guests. The hard work is keeping prices and inventory correct, preventing overselling, surviving retries and partial failures, and reconciling systems when they disagree. Your ownership and team You will own the API's day-to-day technical roadmap and design decisions. In this hands-on individual contributor role, you will write production code, lead focused designs, guide migrations, and operate what you build. You will partner with our Staff Engineer on foundational domain and architecture choices. You will be the primary builder, but you will not work alone. Other backend engineers will contribute and build supply, PMS, and POS connectors using the patterns you establish. Product, Partnerships, and hotel operations will work with you from requirements through production launch. This is one of our highest-impact technical bets. What you build will determine how quickly Our client can enter new booking channels and categories. This role works from our NYC headquarters four days per week. The base salary range is $190,000-$210,000, plus equity, based on experience. What you'll do Build and launch the external Client API. Define stable, versioned contracts for live pricing, availability, holds, booking creation, changes, and cancellations. Make booking operations safe under real failures. Design idempotency, recovery, webhooks, and reconciliation for retries, timeouts, duplicates, and partial success. Evolve the core booking domain. Create clear models and invariants for products, schedules, prices, inventory, holds, carts, and bookings. Make the platform extensible. Prove that a new category such as events or food and beverage can use the shared booking model instead of requiring a separate system. Own the architecture for supply, PMS, and POS integrations. Create reusable connector patterns so other engineers can add partners without reinventing failure handling and reconciliation. Define the data contracts that keep inventory discoverable through OpenSearch. Search is supporting technology for this role, not its primary ownership area. Operate what you build. Set reliability and latency targets, and add the tests, metrics, dashboards, alerts, tracing, and runbooks needed for a critical booking path. Turn partner needs into durable platform capabilities, explain tradeoffs clearly, and raise the engineering bar through practical reviews and mentoring. How we ship We move quickly by building quality from the start. A change is done when it is tested, deployed, observable, and safe to roll back. We use AI tools aggressively, but engineers remain accountable for architecture, correctness, and production outcomes. Tech stack Backend: Ruby on Rails, Node.js Data: Postgres, MongoDB Search: OpenSearch APIs and integrations: REST, OpenAPI, webhooks Infrastructure and observability: AWS, Datadog Testing: RSpec, Playwright Who you are We encourage candidates to apply even if they do not match every line below. You have 6+ years of software engineering experience, or a track record of equivalent impact. You have designed transactional systems, built external APIs or integration platforms, and safely evolved data models in production. You understand relational modeling, concurrency, consistency, asynchronous workflows, and distributed failures. You turn complex business rules into clear boundaries, lifecycle states, contracts, and invariants. You can lead an important system as its primary builder while collaborating on foundational decisions. You care about correctness, testing, observability, and safe rollouts. You communicate directly, listen well, and improve the work of engineers around you. Ruby on Rails experience is useful, but not required. Experience with marketplaces, reservations, inventory-constrained commerce, public APIs, or third-party booking systems is also helpful. We care most about your backend judgment, track record, and ability to learn. What success looks like in 6-12 months Multiple distribution partners and an authorized AI agent complete real bookings through one reusable API. The full booking lifecycle meets agreed targets for correctness, success rate, latency, overselling, recovery, and reconciliation. Reusable contracts and connector patterns materially reduce the work required to onboard the next partner. The shared booking model supports at least one new category without a separate booking system. As the API becomes a company-wide platform, this role can grow toward Staff through demonstrated impact across the booking domain, integrations, and distribution. Benefits Health, dental, and vision coverage, with our client contributing to monthly premiums Stock options 401(k) plan Unlimited paid time off Paid parental leave
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze's product is the control center for thousands of the world's most sophisticated marketing teams. The Frontend Infrastructure & Experience (FIX) team builds the platform foundations that every product engineer relies on and owns key parts of the end-user experience. The team makes it easy for engineers across Braze to build polished, accessible, and consistent UIs. FIX owns our design system and component library, internationalization stack, code generation and scaffolding tooling, and the navigation and routing layer of the product. The team also owns key customer-facing experiences including our data tables and our rich text, drag-and-drop, and code editors. As a Senior Engineer on FIX, you will build high-impact frontend infrastructure and product experiences used across Braze. You will lead important projects from design through rollout, raise the quality bar through technical judgment and code review, and help other engineers move faster by making the product easier to build, test, and maintain. In this role you will: Design and build foundational frontend systems, components, tools, and patterns used by engineers across Braze Lead large projects end-to-end, including technical design, implementation, testing, rollout, and operational follow-through Improve the developer experience of working in a large TypeScript and React codebase through better abstractions, tooling, documentation, and examples Build customer-facing product experiences that are polished, accessible, performant, and consistent with Braze's product standards Partner with product engineers, designers, and infrastructure teams to solve cross-cutting frontend problems Mentor other engineers through code review, pairing, technical guidance, and clear communication Recent and ongoing work on the team includes: Developing the framework used to build our marketing message editors Enabling our in-app AI harness to create, modify, and test messages in our Drag-and-Drop message editors Migrating the navigation and routing layer to a fully React-based system Extending the design system with semantic tokens and supporting a product rebrand Building type-safe scaffolding and API tooling for frontend development Advancing accessibility, localization, and consistency across product experiences Parts of our stack with which you will work: TypeScript, React Cypress, Jest, RSpec Frontend build, packaging, and code generation tooling Ruby on Rails WHO YOU ARE Have 5+ years of software engineering experience with a strong track record of technical impact Are highly skilled in modern frontend development, especially TypeScript and React Have experience building reusable frontend systems, components, tools, or infrastructure Care deeply about user experience, accessibility, performance, and maintainability Are comfortable working in a large frontend codebase with many stakeholders Communicate clearly, collaborate well across teams, and help raise the technical bar for those around you Bonus experience Experience building design systems or component libraries Experience with frontend testing frameworks such as Cypress or Jest Experience with code generation, linting, codemods, or other developer tooling Experience with internationalization, localization, or accessibility Experience with Ruby on Rails For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $209,368/year with an expected On Target Earnings (OTE) between $144,000 and $234,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes . click apply for full job details
11/14/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze's product is the control center for thousands of the world's most sophisticated marketing teams. The Frontend Infrastructure & Experience (FIX) team builds the platform foundations that every product engineer relies on and owns key parts of the end-user experience. The team makes it easy for engineers across Braze to build polished, accessible, and consistent UIs. FIX owns our design system and component library, internationalization stack, code generation and scaffolding tooling, and the navigation and routing layer of the product. The team also owns key customer-facing experiences including our data tables and our rich text, drag-and-drop, and code editors. As a Senior Engineer on FIX, you will build high-impact frontend infrastructure and product experiences used across Braze. You will lead important projects from design through rollout, raise the quality bar through technical judgment and code review, and help other engineers move faster by making the product easier to build, test, and maintain. In this role you will: Design and build foundational frontend systems, components, tools, and patterns used by engineers across Braze Lead large projects end-to-end, including technical design, implementation, testing, rollout, and operational follow-through Improve the developer experience of working in a large TypeScript and React codebase through better abstractions, tooling, documentation, and examples Build customer-facing product experiences that are polished, accessible, performant, and consistent with Braze's product standards Partner with product engineers, designers, and infrastructure teams to solve cross-cutting frontend problems Mentor other engineers through code review, pairing, technical guidance, and clear communication Recent and ongoing work on the team includes: Developing the framework used to build our marketing message editors Enabling our in-app AI harness to create, modify, and test messages in our Drag-and-Drop message editors Migrating the navigation and routing layer to a fully React-based system Extending the design system with semantic tokens and supporting a product rebrand Building type-safe scaffolding and API tooling for frontend development Advancing accessibility, localization, and consistency across product experiences Parts of our stack with which you will work: TypeScript, React Cypress, Jest, RSpec Frontend build, packaging, and code generation tooling Ruby on Rails WHO YOU ARE Have 5+ years of software engineering experience with a strong track record of technical impact Are highly skilled in modern frontend development, especially TypeScript and React Have experience building reusable frontend systems, components, tools, or infrastructure Care deeply about user experience, accessibility, performance, and maintainability Are comfortable working in a large frontend codebase with many stakeholders Communicate clearly, collaborate well across teams, and help raise the technical bar for those around you Bonus experience Experience building design systems or component libraries Experience with frontend testing frameworks such as Cypress or Jest Experience with code generation, linting, codemods, or other developer tooling Experience with internationalization, localization, or accessibility Experience with Ruby on Rails For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $209,368/year with an expected On Target Earnings (OTE) between $144,000 and $234,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes . click apply for full job details
LexisNexis Legal & Professional
Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Engineering Systems Tools team powers how eBay engineers build, test, and ship software at scale. We develop, operate, and evolve the internal platforms that thousands of developers rely on every day to deliver secure, high-quality experiences to buyers and sellers around the world. As a Senior GitHub Enterprise Platform Engineer, you will serve as a hands-on technical leader for eBay's GitHub Enterprise ecosystem. You will own the platform's reliability, security, and usability. You will develop standards and self-service experiences that help engineering teams collaborate effectively. Your work will enable confident code reviews and safe automation of workflows at scale. This is an individual contributor role with broad influence across engineering, security, product, and infrastructure teams, and a strong opportunity to improve developer efficiency across eBay. What you will accomplish: Own and evolve eBay's GitHub Enterprise platform to deliver a highly available, secure, and scalable experience for thousands of engineers. Define and implement platform standards for repositories, branching, code review, and policy enforcement that improve engineering velocity while supporting security and compliance goals. Partner closely with Identity and Security teams to strengthen access management through SSO, SCIM, and role-based controls, enabling scalable, auditable, and least-privilege access. Build automation, APIs, bots, and tools guided by rules that simplify onboarding, repository lifecycle management, and fleet-wide platform changes. Improve platform reliability by implementing monitoring, logging, alerting, incident response, and root-cause analysis across GitHub Enterprise Server and its underlying database systems. Lead upgrades, migrations, and multi-functional platform improvements while advising engineering teams on standard methodologies through documentation, consultation, and enablement. What you will bring: 8+ years of experience in software engineering, DevOps, or platform engineering in a large-scale environment, including significant hands-on work with Git-based platforms. Deep experience coordinating GitHub Enterprise Server and/or GitHub Enterprise Cloud at scale, including repository and organization management, security controls, auditability, runners, and integrations. Strong programming or scripting skills in Python, Java, or similar languages, with experience using REST/GraphQL APIs, webhooks, and infrastructure-as-code to automate platform operations. Experience integrating GitHub with CI/CD, artifact, and quality or security tooling such as GitHub Actions, Jenkins, Artifactory, SonarQube, or similar platforms. Solid understanding of identity and access management concepts including SSO, SAML, SCIM, RBAC, and least-privilege access, and how to apply them to developer collaboration platforms. Strong solving and interpersonal skills, with the ability to work across distributed systems, databases, cloud or container environments, and multi-functional teams to drive issues through resolution. Additional Details The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
11/13/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Engineering Systems Tools team powers how eBay engineers build, test, and ship software at scale. We develop, operate, and evolve the internal platforms that thousands of developers rely on every day to deliver secure, high-quality experiences to buyers and sellers around the world. As a Senior GitHub Enterprise Platform Engineer, you will serve as a hands-on technical leader for eBay's GitHub Enterprise ecosystem. You will own the platform's reliability, security, and usability. You will develop standards and self-service experiences that help engineering teams collaborate effectively. Your work will enable confident code reviews and safe automation of workflows at scale. This is an individual contributor role with broad influence across engineering, security, product, and infrastructure teams, and a strong opportunity to improve developer efficiency across eBay. What you will accomplish: Own and evolve eBay's GitHub Enterprise platform to deliver a highly available, secure, and scalable experience for thousands of engineers. Define and implement platform standards for repositories, branching, code review, and policy enforcement that improve engineering velocity while supporting security and compliance goals. Partner closely with Identity and Security teams to strengthen access management through SSO, SCIM, and role-based controls, enabling scalable, auditable, and least-privilege access. Build automation, APIs, bots, and tools guided by rules that simplify onboarding, repository lifecycle management, and fleet-wide platform changes. Improve platform reliability by implementing monitoring, logging, alerting, incident response, and root-cause analysis across GitHub Enterprise Server and its underlying database systems. Lead upgrades, migrations, and multi-functional platform improvements while advising engineering teams on standard methodologies through documentation, consultation, and enablement. What you will bring: 8+ years of experience in software engineering, DevOps, or platform engineering in a large-scale environment, including significant hands-on work with Git-based platforms. Deep experience coordinating GitHub Enterprise Server and/or GitHub Enterprise Cloud at scale, including repository and organization management, security controls, auditability, runners, and integrations. Strong programming or scripting skills in Python, Java, or similar languages, with experience using REST/GraphQL APIs, webhooks, and infrastructure-as-code to automate platform operations. Experience integrating GitHub with CI/CD, artifact, and quality or security tooling such as GitHub Actions, Jenkins, Artifactory, SonarQube, or similar platforms. Solid understanding of identity and access management concepts including SSO, SAML, SCIM, RBAC, and least-privilege access, and how to apply them to developer collaboration platforms. Strong solving and interpersonal skills, with the ability to work across distributed systems, databases, cloud or container environments, and multi-functional teams to drive issues through resolution. Additional Details The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
Amazon Web Services (AWS) is seeking an experienced Partner Development Manager to own and grow our strategic relationships with global ISVs, driving transformative scale across our Worldwide Public Sector (WWPS) customer base. In this role, you will be the public sector relationship owner between AWS and the partner, responsible for accelerating joint go-to-market motions, driving adoption of AWS services, expanding market penetration, and delivering differentiated customer outcomes across US Federal (Civilian and Defense), State & Local Government, Education, Healthcare, and Nonprofit verticals. Key job responsibilities Own the strategic public sector partner relationship and serve as the primary public sector point of contact, driving joint business planning, executive alignment, and mutual investment across the Worldwide Public Sector segment Define and execute a joint go-to-market strategy focused on accelerating adoption of AWS across public sector customers, with emphasis on mission-critical use cases in Federal (Civilian and Defense), State & Local Government, Education, Healthcare, and Nonprofit verticals Drive co-sell pipeline development and revenue growth - identify, qualify, and advance joint opportunities with public sector end-customers, articulating the differentiated value of AWS infrastructure (including GovCloud and classified environments) Collaborate with AWS field teams, commercial teams, solution architects, and service teams to ensure the partner's models are optimally integrated with AWS services (e.g., Amazon Bedrock, SageMaker, EC2 accelerated compute) and aligned to public sector customer requirements Navigate public sector compliance and security requirements (FedRAMP, IL4/5/6, StateRAMP, ITAR) as they pertain to the partner's model deployment, data residency, and end-customer procurement pathways Maintain an accurate pipeline and forecast of joint GTM opportunities tied to the partner's model release cadence, capability roadmap, and AWS infrastructure dependencies Build and manage executive-level relationships with the partner's public sector, product, and engineering leadership - deliver quarterly business reviews outlining pipeline health, win/loss analysis, adoption metrics, and strategic investment recommendations Serve as the internal voice of the partnership across AWS WWPS leadership, ensuring alignment on prioritization, resource allocation, and escalation paths About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience - 5+ years of professional or military experience - 5+ years of working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking experience - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Bachelor's degree - Experience selling enterprise software or cloud-based applications - Experience explaining complex technical concepts to various business and technical audiences - Experience presenting to both technical and non-technical executive audiences PREFERRED QUALIFICATIONS- Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements - Experience interpreting data and making business recommendations across leadership and cross-functional teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 147 100.00 USD annually
10/07/2026
Full time
Amazon Web Services (AWS) is seeking an experienced Partner Development Manager to own and grow our strategic relationships with global ISVs, driving transformative scale across our Worldwide Public Sector (WWPS) customer base. In this role, you will be the public sector relationship owner between AWS and the partner, responsible for accelerating joint go-to-market motions, driving adoption of AWS services, expanding market penetration, and delivering differentiated customer outcomes across US Federal (Civilian and Defense), State & Local Government, Education, Healthcare, and Nonprofit verticals. Key job responsibilities Own the strategic public sector partner relationship and serve as the primary public sector point of contact, driving joint business planning, executive alignment, and mutual investment across the Worldwide Public Sector segment Define and execute a joint go-to-market strategy focused on accelerating adoption of AWS across public sector customers, with emphasis on mission-critical use cases in Federal (Civilian and Defense), State & Local Government, Education, Healthcare, and Nonprofit verticals Drive co-sell pipeline development and revenue growth - identify, qualify, and advance joint opportunities with public sector end-customers, articulating the differentiated value of AWS infrastructure (including GovCloud and classified environments) Collaborate with AWS field teams, commercial teams, solution architects, and service teams to ensure the partner's models are optimally integrated with AWS services (e.g., Amazon Bedrock, SageMaker, EC2 accelerated compute) and aligned to public sector customer requirements Navigate public sector compliance and security requirements (FedRAMP, IL4/5/6, StateRAMP, ITAR) as they pertain to the partner's model deployment, data residency, and end-customer procurement pathways Maintain an accurate pipeline and forecast of joint GTM opportunities tied to the partner's model release cadence, capability roadmap, and AWS infrastructure dependencies Build and manage executive-level relationships with the partner's public sector, product, and engineering leadership - deliver quarterly business reviews outlining pipeline health, win/loss analysis, adoption metrics, and strategic investment recommendations Serve as the internal voice of the partnership across AWS WWPS leadership, ensuring alignment on prioritization, resource allocation, and escalation paths About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience - 5+ years of professional or military experience - 5+ years of working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking experience - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Bachelor's degree - Experience selling enterprise software or cloud-based applications - Experience explaining complex technical concepts to various business and technical audiences - Experience presenting to both technical and non-technical executive audiences PREFERRED QUALIFICATIONS- Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements - Experience interpreting data and making business recommendations across leadership and cross-functional teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 147 100.00 USD annually
Amazon Web Services (AWS) is the leading cloud provider. AWS runs a globally distributed and resilient environment, operating at massive scale and enabling businesses and government agencies to run their operations and applications on AWS's multi-tenant infrastructure. Through AWS' virtual infrastructure, customers all over the world innovate faster with emerging technologies like AI/machine learning including generative AI, high performance computing, quantum, and more. Our World Wide Public Sector (WWPS) team is looking for an exceptional sales candidate who is excited about accelerating customers' journey to transform their mission areas and business functions with emerging technology. The candidate will join our fast growing AWS National Security Emerging Technology team to support sensitive and critical US Defense and Intelligence cloud technologies and activities. In this AI & Emerging Tech Specialist role, you will focus on developing customer use cases, driving adoption, and shaping the go-to-market strategy across multiple customer agencies in close collaboration with each account team. You will work backwards from customers' mission needs to develop integrated solutions that leverage AWS and partner data, analytics, generative AI, and emerging technology capabilities. As an AI & Emerging Tech Specialist, you will partner with customer executives and builders as they adopt DataOps, MLOps, and AI governance best practices to operationalize AI at scale in secure and classified environments. This position requires that the candidate selected be a US Citizen and must currently possess an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Prospect into new AI and emerging technology customers and buying centers by working closely with AWS account teams and partners to identify mission-driven use cases for generative AI, agentic AI, ML at the edge, quantum, and other emerging capabilities. - Serve as a subject matter expert in AI and emerging technologies - including generative AI, foundation models, and associated AWS services - providing specialized sales guidance, technical enablement, and thought leadership to account teams and customers. - Meet regularly with national security executives and mission owners to understand their mission requirements, existing architectures, and technology roadmaps, and introduce AWS AI, data, analytics, and emerging technology services that accelerate mission outcomes. - Negotiate and close large, complex AI and emerging technology opportunities, working across multiple agencies and buying centers to drive adoption at scale. - Work closely with Amazon business leaders - including customer account teams, hardware and software engineering leaders, professional services, and technical program managers - to align emerging technology solutions with customer mission needs. - Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature requests, regional availability requirements, and unique mission use cases across classified and unclassified environments. - Identify opportunities for Marketing and Public Policy engagements that position AWS as a trusted partner for AI and emerging technologies in the national security community. - Leverage Defense and Professional Associations to establish AWS as a thought and industry leader in AI and emerging technologies, deepening customer intimacy, nurturing existing partner relationships, developing new partnerships, and uncovering new opportunities. A day in the life This is a highly dynamic role, and as such, your typical day could include 2-3 morning meetings with agency executives, program officers, and builders. In the afternoon, you might be leading an internal strategy or working session with key stakeholders from NatSec account teams, service teams, or Professional Services. About the team The team you would join specializes in AI and Emerging Technologies for National Security, with a core focus on generative AI, frontier AI, ML at the edge, quantum, mission networking, and advanced computing. We pride ourselves on our deep technical expertise and mission knowledge. Members of our team dive deep into their technical specialties, stay ahead of trends in mission adoption of emerging technologies, and develop best practices for accelerating responsible adoption across classified and unclassified environments. As a high-performing sales organization embedded within the NatSec community, the team serves as a trusted partner to end users, agency leadership, and the policy community - helping customers navigate the rapidly evolving AI and emerging technology landscape to deliver mission impact. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- Bachelor's degree in a relevant field or equivalent work experience - 7+ years of technology platform sales with an understanding of government IT, data centers, cloud services and cloud adoption experience - Experience working cross-functionally with tech and non-tech teams - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS- 10+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - Experience with AI/ML technologies - Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning - Experience interpreting data and making business recommendations - Experience developing, negotiating and executing business agreements - Experience with generative AI, foundation models, or agentic AI solutions - Track record of building new business categories or emerging technology practices from the ground up Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 176 200.00 USD annually USA, VA, Arlington - 176 200.00 USD annually USA, VA, Herndon - 176 200.00 USD annually
10/07/2026
Full time
Amazon Web Services (AWS) is the leading cloud provider. AWS runs a globally distributed and resilient environment, operating at massive scale and enabling businesses and government agencies to run their operations and applications on AWS's multi-tenant infrastructure. Through AWS' virtual infrastructure, customers all over the world innovate faster with emerging technologies like AI/machine learning including generative AI, high performance computing, quantum, and more. Our World Wide Public Sector (WWPS) team is looking for an exceptional sales candidate who is excited about accelerating customers' journey to transform their mission areas and business functions with emerging technology. The candidate will join our fast growing AWS National Security Emerging Technology team to support sensitive and critical US Defense and Intelligence cloud technologies and activities. In this AI & Emerging Tech Specialist role, you will focus on developing customer use cases, driving adoption, and shaping the go-to-market strategy across multiple customer agencies in close collaboration with each account team. You will work backwards from customers' mission needs to develop integrated solutions that leverage AWS and partner data, analytics, generative AI, and emerging technology capabilities. As an AI & Emerging Tech Specialist, you will partner with customer executives and builders as they adopt DataOps, MLOps, and AI governance best practices to operationalize AI at scale in secure and classified environments. This position requires that the candidate selected be a US Citizen and must currently possess an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Prospect into new AI and emerging technology customers and buying centers by working closely with AWS account teams and partners to identify mission-driven use cases for generative AI, agentic AI, ML at the edge, quantum, and other emerging capabilities. - Serve as a subject matter expert in AI and emerging technologies - including generative AI, foundation models, and associated AWS services - providing specialized sales guidance, technical enablement, and thought leadership to account teams and customers. - Meet regularly with national security executives and mission owners to understand their mission requirements, existing architectures, and technology roadmaps, and introduce AWS AI, data, analytics, and emerging technology services that accelerate mission outcomes. - Negotiate and close large, complex AI and emerging technology opportunities, working across multiple agencies and buying centers to drive adoption at scale. - Work closely with Amazon business leaders - including customer account teams, hardware and software engineering leaders, professional services, and technical program managers - to align emerging technology solutions with customer mission needs. - Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature requests, regional availability requirements, and unique mission use cases across classified and unclassified environments. - Identify opportunities for Marketing and Public Policy engagements that position AWS as a trusted partner for AI and emerging technologies in the national security community. - Leverage Defense and Professional Associations to establish AWS as a thought and industry leader in AI and emerging technologies, deepening customer intimacy, nurturing existing partner relationships, developing new partnerships, and uncovering new opportunities. A day in the life This is a highly dynamic role, and as such, your typical day could include 2-3 morning meetings with agency executives, program officers, and builders. In the afternoon, you might be leading an internal strategy or working session with key stakeholders from NatSec account teams, service teams, or Professional Services. About the team The team you would join specializes in AI and Emerging Technologies for National Security, with a core focus on generative AI, frontier AI, ML at the edge, quantum, mission networking, and advanced computing. We pride ourselves on our deep technical expertise and mission knowledge. Members of our team dive deep into their technical specialties, stay ahead of trends in mission adoption of emerging technologies, and develop best practices for accelerating responsible adoption across classified and unclassified environments. As a high-performing sales organization embedded within the NatSec community, the team serves as a trusted partner to end users, agency leadership, and the policy community - helping customers navigate the rapidly evolving AI and emerging technology landscape to deliver mission impact. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- Bachelor's degree in a relevant field or equivalent work experience - 7+ years of technology platform sales with an understanding of government IT, data centers, cloud services and cloud adoption experience - Experience working cross-functionally with tech and non-tech teams - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS- 10+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - Experience with AI/ML technologies - Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning - Experience interpreting data and making business recommendations - Experience developing, negotiating and executing business agreements - Experience with generative AI, foundation models, or agentic AI solutions - Track record of building new business categories or emerging technology practices from the ground up Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 176 200.00 USD annually USA, VA, Arlington - 176 200.00 USD annually USA, VA, Herndon - 176 200.00 USD annually
Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS- 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS- Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually
10/07/2026
Full time
Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS- 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS- Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking multiple dedicated Infrastructure Engineer-Intermediate Level to provide Tier 2 technical support, operational engineering, and production support for enterprise infrastructure services. This role serves as an escalation point for incidents and service requests that cannot be resolved by Tier 1 support teams and is responsible for troubleshooting, service restoration, monitoring, and operational support across server, cloud, database, network, storage, and platform technologies. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Engineering Teams, and external vendors, this position provides technical expertise for infrastructure incidents, service requests, operational problems, and stability initiatives. The engineer analyzes and resolves issues related to servers, operating systems, virtualization platforms, cloud services, storage, networking, middleware, and enterprise infrastructure services. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based in San Antonio; TX. Relocation assistance is not available for this position. What you'll do: Under direct supervision, design scalable IT system infrastructure, implements system changes with some independence; may automate service delivery, maintenance tasks, and builds the ecosystem for solutions including individual infrastructure components. Provide Tier 2 support for infrastructure-related incidents, service requests, and operational issues. Troubleshoot and resolve complex production issues affecting servers, databases, cloud platforms, storage, networking, and core infrastructure services. Participate in incident response, service restoration, and Major Incident recovery activities. Monitor infrastructure health, performance, availability, and capacity. Resolves simple technology production issues with some assistance through troubleshooting systems. Identifies issues for escalation. Analyzes outages in order to identify opportunities for solutions. Participates in product selection and testing. Understands engineering best practices, concepts, and patterns. Intake customer requirements and aligns requirements to standardized product offerings Interacts with management and staff to provide analytical and technical assistance for continuous improvement of IT solutions. - and would need to be differentiated across levels. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. 3-5 years of infrastructure operations experience Experience supporting 24x7 enterprise environments Experience in a NOC or an Enterprise Availability Command Center, Operations Center, or Production Support organization Experience with Site Reliability Engineering (SRE) fundamentals to supporting cloud-based infrastructure platforms Experience supporting financial services, insurance, healthcare, or other highly regulated industries What Sets You Apart: Understanding of core operating systems and virtualization: Proficiency in both Microsoft Windows Server Administration and Linux Administration (Red Hat, Ubuntu, SUSE) alongside experience with VMware vSphere and Hyper-V. Experience in foundational network services: Solid grasp of TCP/IP, DNS, and DHCP is crucial. Comprehensive cloud platform experience: Demonstrated experience with major cloud providers such as Microsoft Azure and Amazon Web Services (AWS), including hybrid cloud environments. Familiarity with containerization technologies: Experience with Docker and especially Kubernetes is a significant advantage. Proven ability in monitoring and observability tools: Hands-on experience with platforms like Dynatrace, Splunk, Datadog, or AWS CloudWatch to proactively manage and troubleshoot infrastructure. Mainframe & z/OS Skills: possess foundational to intermediate experience supporting z/OS environments, batch processing, and core mainframe infrastructure services. Strong IT Service Management (ITSM) tool proficiency: Experience with tools such as ServiceNow or Jira Service Management, coupled with a deep understanding of Incident, Change, and Problem Management processes. Experience in high-availability and disaster recovery: A solid background in SAN, NAS, enterprise storage, and implementing robust backup, recovery, and disaster recovery solutions is essential. Database support experience: Supporting one or more key databases like Microsoft SQL Server, Oracle, PostgreSQL, or MySQL, along with knowledge of monitoring and performance, adds significant value. Experience in regulated industries and 24x7 environments: Prior experience supporting critical infrastructure in financial services, healthcare, or other highly regulated sectors, especially within 24x7 operations, is a strong indicator of a candidate's ability to handle demanding environments. Compensation range: The salary range for this position is: $ 69,920 - $ 133,620 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/30/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking multiple dedicated Infrastructure Engineer-Intermediate Level to provide Tier 2 technical support, operational engineering, and production support for enterprise infrastructure services. This role serves as an escalation point for incidents and service requests that cannot be resolved by Tier 1 support teams and is responsible for troubleshooting, service restoration, monitoring, and operational support across server, cloud, database, network, storage, and platform technologies. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Engineering Teams, and external vendors, this position provides technical expertise for infrastructure incidents, service requests, operational problems, and stability initiatives. The engineer analyzes and resolves issues related to servers, operating systems, virtualization platforms, cloud services, storage, networking, middleware, and enterprise infrastructure services. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based in San Antonio; TX. Relocation assistance is not available for this position. What you'll do: Under direct supervision, design scalable IT system infrastructure, implements system changes with some independence; may automate service delivery, maintenance tasks, and builds the ecosystem for solutions including individual infrastructure components. Provide Tier 2 support for infrastructure-related incidents, service requests, and operational issues. Troubleshoot and resolve complex production issues affecting servers, databases, cloud platforms, storage, networking, and core infrastructure services. Participate in incident response, service restoration, and Major Incident recovery activities. Monitor infrastructure health, performance, availability, and capacity. Resolves simple technology production issues with some assistance through troubleshooting systems. Identifies issues for escalation. Analyzes outages in order to identify opportunities for solutions. Participates in product selection and testing. Understands engineering best practices, concepts, and patterns. Intake customer requirements and aligns requirements to standardized product offerings Interacts with management and staff to provide analytical and technical assistance for continuous improvement of IT solutions. - and would need to be differentiated across levels. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. 3-5 years of infrastructure operations experience Experience supporting 24x7 enterprise environments Experience in a NOC or an Enterprise Availability Command Center, Operations Center, or Production Support organization Experience with Site Reliability Engineering (SRE) fundamentals to supporting cloud-based infrastructure platforms Experience supporting financial services, insurance, healthcare, or other highly regulated industries What Sets You Apart: Understanding of core operating systems and virtualization: Proficiency in both Microsoft Windows Server Administration and Linux Administration (Red Hat, Ubuntu, SUSE) alongside experience with VMware vSphere and Hyper-V. Experience in foundational network services: Solid grasp of TCP/IP, DNS, and DHCP is crucial. Comprehensive cloud platform experience: Demonstrated experience with major cloud providers such as Microsoft Azure and Amazon Web Services (AWS), including hybrid cloud environments. Familiarity with containerization technologies: Experience with Docker and especially Kubernetes is a significant advantage. Proven ability in monitoring and observability tools: Hands-on experience with platforms like Dynatrace, Splunk, Datadog, or AWS CloudWatch to proactively manage and troubleshoot infrastructure. Mainframe & z/OS Skills: possess foundational to intermediate experience supporting z/OS environments, batch processing, and core mainframe infrastructure services. Strong IT Service Management (ITSM) tool proficiency: Experience with tools such as ServiceNow or Jira Service Management, coupled with a deep understanding of Incident, Change, and Problem Management processes. Experience in high-availability and disaster recovery: A solid background in SAN, NAS, enterprise storage, and implementing robust backup, recovery, and disaster recovery solutions is essential. Database support experience: Supporting one or more key databases like Microsoft SQL Server, Oracle, PostgreSQL, or MySQL, along with knowledge of monitoring and performance, adds significant value. Experience in regulated industries and 24x7 environments: Prior experience supporting critical infrastructure in financial services, healthcare, or other highly regulated sectors, especially within 24x7 operations, is a strong indicator of a candidate's ability to handle demanding environments. Compensation range: The salary range for this position is: $ 69,920 - $ 133,620 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
09/29/2026
Full time
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
09/29/2026
Full time
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead to lead the design, development, deployment, and ongoing support of key components of Versant's Time and Workforce Management ecosystem. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering custom, SAAS, and PAAS based solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Time, Payroll, HR, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure Time and Workforce Management solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Time & Workforce Management platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SAAS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SAAS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for custom time and workforce mgmt. initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, CI/CD pipelines, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure Time and Workforce solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for Time and Workforce Management engineering within cross-functional forums Qualifications Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 2 years leading medium to large full-stack engineering delivery teams(both on and offshore) Strong hands-on experience with full-stack architecture and development practices Proficiency in .NET, C#, SQL Server, modern JavaScript frameworks, APIs, JSON, integrations, data modeling, secure coding practices Implement secure authentication and authorization mechanisms (OAuth 2.0, OpenID Connect, Azure AD, JWT). Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SAAS platforms. Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering time and workforce management solutions Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience with React & Node.JS Experience with Marketing Cloud Engagement or Data Cloud/CDP implementations Interest in modernizing custom and SAAS platforms and improving developer productivity Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
09/29/2026
Full time
Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead to lead the design, development, deployment, and ongoing support of key components of Versant's Time and Workforce Management ecosystem. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering custom, SAAS, and PAAS based solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Time, Payroll, HR, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure Time and Workforce Management solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Time & Workforce Management platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SAAS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SAAS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for custom time and workforce mgmt. initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, CI/CD pipelines, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure Time and Workforce solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for Time and Workforce Management engineering within cross-functional forums Qualifications Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 2 years leading medium to large full-stack engineering delivery teams(both on and offshore) Strong hands-on experience with full-stack architecture and development practices Proficiency in .NET, C#, SQL Server, modern JavaScript frameworks, APIs, JSON, integrations, data modeling, secure coding practices Implement secure authentication and authorization mechanisms (OAuth 2.0, OpenID Connect, Azure AD, JWT). Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SAAS platforms. Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering time and workforce management solutions Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience with React & Node.JS Experience with Marketing Cloud Engagement or Data Cloud/CDP implementations Interest in modernizing custom and SAAS platforms and improving developer productivity Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
09/28/2026
Full time
Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
09/28/2026
Full time
Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
