Software Development Engineer -AI/Agentic Systems
Equinix, Inc.
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Benefits offered by this job
Job summary
Equinix is seeking a Senior Requirements Engineer in Redwood City to define the requirements for AI Agents and workflows. This pivotal role involves close collaboration with platform engineering and aims to improve developer productivity through innovative frameworks.
The ideal candidate will have over 7 years of experience in software engineering, a background in platform or AI systems, and a strong proficiency in backend languages such as Go or Python. Competitive compensation and inclusive benefits are offered.
Qualifications
- 7+ years of software engineering experience, with 2 years focused on platform engineering.
- Experience shipping agentic or LLM-powered systems in production.
- Track record of building internal developer platforms or tooling.
Responsibilities
- Design and build the Agentic Execution Framework including integrations.
- Build and maintain the AI Agent Registry and low-code agent build platform.
- Measure impact against developer productivity metrics.
Skills
Education
Job description
Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you—because when you feel valued, you're empowered to do your best work.
The Senior Requirements Engineer for AI Agents & Agentic Workflows is a critical role within the Developer Experience Program (EDP), responsible for defining and shaping the requirements for Equinix's most forward‑looking developer productivity investments. You will own the requirements for an agentic execution framework, Claude Code platform integration, an AI Agent Registry, and a low‑code agent build platform. This role sits at the intersection of developer experience, AI/ML platform engineering, and product strategy. You will translate ambiguous, high‑impact goals—such as reducing PR cycle time by 50% and achieving a 50% developer productivity gain—into precise, actionable requirements that engineering teams can build against. You will work closely with platform engineering, compliance, governance, and AI platform teams.
- Design and build the Agentic Execution Framework: event bus integration, agent scaffolding, human‑in‑the‑loop approval queues, retry and error handling, and end‑to‑end execution traceability.
- Implement Claude Code platform‑native integrations: CI failure triage agent, PR assist agent, unit test generation agent, and the "what should I work on?" developer portal surface.
- Build and maintain the AI Agent Registry: catalog service, agent metadata schema, discovery APIs, trust boundary enforcement, versioning, and lifecycle management.
- Develop the Agent Build Platform: a low‑code, UI graph‑based workflow builder that enables developers without deep agentic knowledge to compose and deploy production‑ready agentic workflows.
- Implement agent integration connectors into delivery pipelines, incident management systems, and policy enforcement layers to automate manual handoffs and reduce developer toil.
- Build scoped permission models, execution isolation environments, audit logging, and human‑in‑the‑loop guardrails to ensure agents operate safely within enterprise governance boundaries.
- Instrument all agentic systems with observability hooks—logs, metrics, traces—and integrate with the unified observability platform.
- Write clean, well‑tested, production‑grade code with high coverage; own your services from development through deployment and on‑call.
- Participate in architecture design reviews, contribute to engineering standards, and help define patterns that other teams can follow when building agentic systems.
- Continuously measure impact against developer productivity metrics—PR cycle time, time to first commit, deployment frequency—and iterate based on data.
- Strong proficiency in one or more backend languages—Go, Python, Java, or TypeScript—with demonstrable experience building event‑driven or distributed systems in production.
- Hands‑on experience building with LLM APIs and agentic frameworks: LangChain, LangGraph, AutoGen, CrewAI, Amazon Bedrock Agents, or equivalents.
- Experience integrating with GitHub APIs, GitHub Actions, and CI/CD pipeline systems—building bots, automation workflows, or developer tooling on top of these platforms.
- Practical knowledge of event streaming and messaging systems: Kafka, EventBridge, RabbitMQ, or equivalents—able to design reliable, observable event‑driven pipelines.
- Experience building and consuming REST and GraphQL APIs; comfortable designing service contracts and integration schemas.
- Familiarity with workflow orchestration platforms such as Temporal, n8n.io, Prefect, or similar.
- Understanding of developer portal frameworks, particularly Backstage—able to build and publish plugins that surface agentic capabilities in the developer experience layer.
- Solid grasp of security patterns relevant to agent systems: non‑human identity, scoped permissions, secrets management, least‑privilege execution, and audit trails.
- Experience with containerized workloads and Kubernetes—able to deploy, operate, and scale agent services in a cloud‑native environment.
- Proficiency with observability tooling: structured logging, metrics instrumentation (Prometheus/Grafana), and distributed tracing (OpenTelemetry).
- 7+ years of software engineering experience, with at least 2 years focused on platform engineering, developer tooling, or AI/ML systems in a production environment.
- Demonstrated experience shipping agentic or LLM‑powered systems at scale—not just prototypes, but production services with reliability, governance, and observability requirements.
- Strong track record of building internal developer platforms, developer portals, or self‑service tooling used by large engineering organizations.
- Experience working in large, matrixed engineering environments—comfortable navigating dependencies across security, platform, compliance, and application engineering teams.
- Ability to operate with autonomy on ambiguous, greenfield engineering challenges where patterns are still being defined.
- Strong written and verbal communication skills—able to document architecture decisions, write clear technical specs, and engage productively with product and business stakeholders.
- Bachelor's degree in Computer Science, Engineering, or a related field; equivalent practical experience accepted.
186,000 - 280,000 USD / Annual
The targeted pay range reflects the minimum and maximum target for new hire pay for the full‑time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job‑related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. Where you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: an employee assistance program is available to all employees.
US Benefits—Insurance: You may enroll in health, life, disability and voluntary plans designed for you and your eligible family members.
Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.
Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an affirmative action employer. All qualified applicants will receive consideration for employment without regard to unlawful considerations of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy/childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political/organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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