• Design scalable, modular, and maintainable architectures for AI-powered applications • Collaborate with product teams to understand feature requirements and translate them into technical solutions leveraging AI models • Integrate APIs (e.g., LLM APIs (e.g. OpenAI), Hugging Face API) into applications for tasks such as NLP and image recognition • Implement prompt engineering, embeddings, and other techniques to customize model outputs without building models from scratch • Implement vector databases in Postgres for RAG • Use tools like Hugging Face’s Transformers to further customize pre-trained models to suit specific project requirements • Optimize server-side logic to ensure efficient querying and integration with AI tools • Work with unstructured data (text, images, etc.) and convert it into model-ready formats • Validate the output quality from AI models to ensure it aligns with business needs and provides value to end-users

Title: Software Engineer II - Web Foundations Location: New York, New York, Century City, CA, United States Job Description: StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking a Software Engineer II to join our Web Foundations team within Consumer App Foundations (CAF). This team builds and maintains the shared web platform that powers StubHub’s consumer experiences across web and mobile. As a fullstack engineer on Web Foundations, you will work across frontend and backend systems to build reusable services, shared libraries, and platform capabilities that help product teams ship faster and with higher quality. You will contribute directly to core systems that support millions of users, ensuring they are performant, reliable, and easy for other engineers to build on. This is a strong hands-on role for engineers who enjoy building scalable systems, improving developer experience, and solving real-world problems at marketplace scale. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA About the team: Consumer App Foundations (CAF) operates horizontally to provide shared infrastructure, tooling, and standards that power all consumer-facing teams. The Web Foundations team focuses on: - Shared frontend and backend platform services - Core web architecture and reusable component libraries - APIs and middleware supporting consumer workflows - Performance, reliability, and accessibility at scale - Enabling experimentation and feature velocity We work closely with product, design, data, and vertical engineering teams to ensure the foundation supports rapid innovation across StubHub. What You'll Do: - Design, build, test, deploy, and maintain fullstack features and platform services used by multiple teams - Develop reusable frontend components and shared backend APIs - Improve performance and reliability across high-traffic consumer systems - Contribute to experimentation infrastructure and feature enablement tooling - Debug production issues and continuously improve system health - Collaborate cross-functionally to understand platform needs and deliver scalable solutions - Write clean, maintainable code and participate in code reviews What You've Done: - 3-5 years of professional experience in software development - Experience building and shipping fullstack applications using modern frontend frameworks (React, JavaScript/TypeScript) and backend technologies (C#, Java, Python, or similar) - Strong understanding of APIs, service communication, and system dependencies - Experience working on consumer-facing products at scale - Proven ability to own projects from implementation through production support - Comfortable operating in fast-paced, experimentation-driven environments Nice to have: - Experience contributing to shared component libraries or internal tooling - Familiarity with feature flagging or A/B testing frameworks - Experience optimizing performance in web applications - Exposure to AI-enabled features or experimentation platforms What We Offer: - Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. - Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact. - Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. - Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $165,000 - $200,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Title: Continuous Integration /Continuous Deployment (CI/CD) SME Location: USA TX Home Office (TXHOME) Job Description: Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: MBI (T2) Job Family: Cyber and IT Risk Management Job Qualifications: Skills: Continuous Deployment, Continuous Integrations, Design, DevOps, Security Compliance Certifications: None Experience: 10 + years of related experience US Citizenship Required: No Job Description: The CI/CD Subject Matter Expert (SME) is the technical authority for building and operating secure, reliable, and efficient delivery pipelines across on-prem and multi-cloud environments. In this role, the CI/CD Subject Matter Expert owns the last mile to production. You will design, implement, and operate continuous deployment practices that move changes safely and automatically from “approved” to “live”, with policy, security, and evidence built in. Your responsibilities include release orchestration, progressive delivery (blue/green, canary, feature flags), automated rollback, post-deployment verification against SLOs, and end-to-end traceability in ITSM. You’ll make deployments predictable for executives, painless for engineers, invisible to end users, and auditable for compliance. You will align day-to-day practices to federal frameworks (NIST RMF/CSF, Zero Trust/TIC 3.0, SSDF) and sustain ATO requirements through automation. HOW A CI/CD SME WILL MAKE AN IMPACT: You will replace legacy deployment practices with gated, observable, and reversible deployments that run without drama. By baking risk controls into the pipeline, pre-prod contract tests, change approvals as code, traffic shaping, health checks, and error-budget-aware promotion, you will cut change failure, shrink MTTR, and raise deployment frequency without increasing incidents. You’ll standardize a “paved road” to production, so teams spend their time building features, not handcrafting releases; leadership sees accurate, real-time status and rollback readiness; auditors see consistent records and evidence generated automatically with every deploy. WHAT YOU’LL NEED TO SUCCEED: - EDUCATION: Bachelor's Degree. In lieu of a degree, an additional four years of related experience required - 10+ years in in DevOps/Platform Engineering with hands-on ownership of production deployments at enterprise scale; 3+ years in regulated or federal environments (VA/DoD/DHS/HHS or highly regulated industry). - Demonstrated results improving DORA metrics (deployment frequency ↑, lead time ↓, change failure rate ≤5–10%, MTTR ↓20–40%) using progressive delivery and automated rollback. - Demonstrated results improving delivery KPIs (e.g., lead time ↓30–50%, change failure rate ≤5–10%, MTTR ↓20–40%) while sustaining ATO/ConMon obligations. - Proven implementation of feature-flag-driven releases, blue/green and canary strategies, and zero-downtime database changes (online migrations, backward-compatible schemas). - Experience integrating deployments with ITSM (automated change models/approvals, deployment records, back-out plans) and generating audit-ready evidence for RMF/ConMon. - Track record operating in multi-vendor/SIAM environments with cross-team release trains and joint incident “swarming.” - Security Clearance: Public Trust - Location: Austin, TX – Hybrid with periodic on-site meetings as required by the customer - This is a contingent posting, expected to start August-September 2026 TECHNICAL SKILLS: - Release Orchestration & Progressive Delivery: Deep experience with tools/patterns for blue/green, canary, and traffic shaping (e.g., gateways, service mesh, rollout controllers); automated promotion based on SLOs, synthetic checks, and real-user signals; automatic rollback on guardrail breach. - Feature Management: Design of flag strategies (kill switches, dark launches, percentage rollouts), flag lifecycle hygiene, and blast-radius containment; governance to prevent “flag debt.” - Policy & Security-as-Code: OPA/Conftest, Sentinel, Checkov, Cloud Custodian; required tags/encryption, CIS/STIG baselines; pre-merge and pre-deploy enforcement. - Deployment Automation: GitOps/desired-state reconciliation (e.g., Argo CD/Flux) for infra and apps; immutable artifacts; environment drift detection and auto-reconcile; promotion through environment rings. - Containers & Platforms: Kubernetes/OpenShift operations (admission control, image policies, mTLS/service mesh), serverless and event-driven patterns; blue/green & canary releases. - Post-Deployment Verification: Telemetry-based health checks, canary analysis, error rates/latency budgets, capacity/perf gates, and automated smoke/contract tests in production-like paths. - Security & Compliance in the Pipeline: Policy-as-code (tags, encryption, network controls), SSDF/supply-chain controls (SBOM, signed artifacts, provenance), secrets management, and OSCAL/RMF evidence emission per deploy. - ITSM Integration: ServiceNow (or equivalent) change models, risk scoring, approvals-as-code, deployment records, and back-out plans tied to pipeline events; status page and comms hooks for RevOps. - Resilience & Chaos-Safe Practices: Fault injection/chaos experiments in pre-prod, controlled in-prod experiments with guardrails; DR runbooks validated via scripted drills. - Cost & Performance Awareness: Ephemeral environments, right-sized runners, cache strategies, and parallelization; collaboration with FinOps on cost per deploy and pipeline ROI. SKILL & EXPERTISE: - Outcome Orientation: Designs deployments to measurable targets, deployment frequency, lead time, change failure rate, MTTR, SLO burn and publishes trends transparently. - Clear Communication: Explains rollout plans and risks in plain language for executives, engineers, and non-technical stakeholders; writes crisp runbooks and “go/hold/rollback” criteria. - Enablement & Leadership: Coaches teams onto the paved road; runs release readiness reviews; builds a community of practice for deployment excellence. - Risk Management Mindset: Uses counter-metrics (e.g., speed paired with quality) to prevent gaming; enforces “small, reversible changes” and safe-to-fail defaults. - Collaboration in SIAM: Coordinates cross-vendor release trains, enforces handoff OLAs, and leads post-incident learning that becomes pipeline policy. - Discipline & Governance: Maintains versioned deployment standards and exception processes; ensures OneVA TRM alignment where applicable; keeps documentation current. PREFERRED CERTIFICATIONS: - AWS Certified DevOps Engineer - Microsoft Certified DevOps Engineer Expert - Certified Kubernetes Administrator / Application Developer - Docker Certified Associate GDIT IS YOUR PLACE: - Full-flex work week to own your priorities at work and at home - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you build your skills and own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and 10 company-paid holidays The likely salary range for this position is $165,750 - $224,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Hybrid Work Location: USA TX Home Office (TXHOME) Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Description The Role: General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. About the Organization: The Simulation team, part of the Autonomous Vehicle organization, is responsible for developing and advancing the simulation ecosystem that enables the growth and maturity of GM's autonomous driving technology. We develop scalable tools, workflows, and analysis capabilities that enable data-driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross-functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end-to-end AV quality. We own large-scale scenario libraries, test and evaluation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework. By joining this team, you will help shape GM's core simulation platforms, turn complex system behavior into actionable insights, and accelerate the development of safe, scalable autonomous vehicles. What You'll Do: - Design, build, and maintain large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation. - Develop and maintain GM's core simulation dashboards and reports, delivering clear, actionable, and interpretable insights on test operations, simulation trust and health trends to engineering teams and leadership. - Drive scalable simulation quality assessments, standardized processes, and automation to support seamless integration of automated outputs with human-in-the-loop analysis and evaluation. - Collaborate with cross-functional partners across Autonomy, Systems, Safety, and customer teams to define, refine, and drive consensus on simulation validation methodologies and requirements. - Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices. - Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing. What You Must Have: - 5+ years of applied experience developing complex evaluation, simulation, or test frameworks. - Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices. - Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment. - Strong communication and collaboration skills. - BS, MS, or PhD in Computer Science, Engineering, or equivalent experience. What Will Give You a Competitive Edge: - Experience testing and evaluating robotics systems or autonomous vehicles, including working on simulation frameworks. - Experience working on test strategies and validation for safety-critical products. - A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies. - Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit). Hybrid/Remote: This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week. *This job may be eligible for relocation benefits if you are interested in relocating to the bay area. Compensation The salary range for this role is $129,400 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-TO1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.