Full Stack Developer (Node.js OR Java)

Who are we?

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 bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

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.

Role Overview

We're hiring a pragmatic full-stack engineer with strong experience in either Node.js (TypeScript) or Java (Spring Boot). You'll build scalable backends, clean APIs, and quality UIs-while using AI tools daily to speed up design, coding, testing, docs, and ops. Language-flexible mindset is important: you're happy to pick up other languages and stacks when it helps the product.

What You'll Do

• Design and ship backend services in Node.js (TS) or Java (Spring Boot); craft REST/GraphQL APIs.

• Build responsive frontends (preferably React/Next.js) integrated with those APIs.

• Model data in PostgreSQL/MySQL, use Redis for caching; write efficient queries/migrations.

• Build async/event flows with Kafka/RabbitMQ when appropriate.

• Own CI/CD, containerization (Docker) and cloud deploys (AWS/GCP/Azure); IaC with Terraform or similar.

• Add observability (logs, metrics, traces) with OpenTelemetry, Prometheus, Grafana.

• Bake in security (OAuth2/OIDC/JWT, IAM, secrets, dependency health).

• Write robust tests (unit/integration/e2e) with Jest, JUnit and RestAssured.

• Leverage AI to generate/refactor code, write tests, draft docs, analyze logs, and accelerate incident response.

• Participate in design reviews, break work into clear stories, and mentor peers on AI-assisted workflows.

• 1-5 years of professional engineering (or equivalent impact).

• Production experience in one of:

• Node.js (TypeScript), frameworks like Express/Fastify; or

• Java (Spring/Spring Boot).

• Strong API design, domain modeling, performance tuning.

• Solid frontend skills with React (or Angular/Vue) and modern tooling.

• Proficient with SQL/NoSQL, caching, and async processing.

• Knowledge of Docker, CI/CD (GitHub Actions/GitLab/Jenkins) and cloud deployments.

• Excellent debugging and incident skills; clear written communication.

• Curiosity to learn new languages/frameworks as needed.

• Daily user of GitHub Copilot (or similar) and effective prompting patterns.

• Bonus: hands-on with LLM APIs (OpenAI/Azure/open-source), LangChain/LlamaIndex, RAG, and vector stores (PGVector/Pinecone/Weaviate).

• Understand data privacy/PII handling, usage governance, and prompt safety.

• Habit of measuring AI impact (lead time, MTTR, coverage, defect rate).