Staff Software Engineer (Full-Stack)

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.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.About the RoleWe are seeking a highly skilled Staff Full‑Stack Software Engineer to design, build, test, and operate a distributed automation platform that orchestrates complex operations at scale. As part of our fast‑evolving network process automation initiatives, you will be responsible for developing, maintaining, and enhancing our automation suite — owning features end‑to‑end from database schema to UI, while also contributing to automated test frameworks, CI/CD workflows, and distributed system reliability.This role spans backend services, frontend development, workflow orchestration, and DevTest activities to ensure network services are validated, reliable, and performant. It is ideal for an engineer who enjoys combining software engineering, distributed systems, and automated testing in a fast‑moving environment.What You’ll Do -  Enhance our Network Process Automation suite of applications and processesDistributed Systems & Backend DevelopmentDesign and build distributed systems with durable workflow orchestration, saga compensation, and fan‑out/fan‑in concurrency.Develop async REST APIs, service layers, background workers, and workflow logic.Build and maintain Go services, including gRPC servers, streaming RPCs, and cross‑language integrations.Model and query data in MongoDB using schemas, indexing, and aggregation pipelines.Enhance and extend automated test frameworks based on product capabilities and new feature areas.Convert test cases into automated modules; reproduce and diagnose issues in lab or production‑like environments.Frontend EngineeringDevelop modern React/TypeScript frontends using component‑based architecture, hooks, server‑state management, and real‑time data flows.DevOps, Deployment & ObservabilityDeploy and operate services on Kubernetes with container best‑practices, health checks, resource tuning, and rolling updates.Implement observability with distributed tracing, metrics, and structured logging across polyglot services.Contribute to CI/CD workflows — GitHub Actions, Jenkins — across build, test, and deployment pipelines.Capture, document, and maintain service inventories, deployment processes, and engineering metrics.Quality Assurance & ValidationBuild unit and integration tests, including async patterns and real‑service validations.Develop test strategies, execute test cases, log issues (JIRA, Bugzilla), and manage the defect lifecycle.Test REST APIs and network automation scenarios (positive/negative paths) to identify defects and performance concerns. AI-Enhanced engineering experiencePractical experience leveraging AI‑assisted development tools (e.g., GitHub Copilot, code‑generation assistants, static‑analysis LLMs) to boost engineering productivity.Incorporate AIOps to automate repetitive development tasks, such as scaffolding code, generating tests, improving documentation, or analyzing logs/traces.Experience applying AI‑based inference tools to support development — for example:Summarizing complex code paths or architectureGenerating refactoring suggestionsReasoning about defects, logs, or stack tracesAssisting with API usage, type inference, or schema evolutionIncorporate AI into the SDLC, including review security, workflows, code‑quality safeguards, and validation of AI‑generated outputs.Familiarity with using AI tools to augment DevTest workflows, such as generating test cases, interpreting failures, or detecting patternsTech StackLanguages: Python 3, TypeScript, GoFrontend: React 19, ViteBackend & Services: FastAPI/ASGI, gRPC, Protocol BuffersDatabase: MongoDB (async drivers, indexing, aggregation pipelines)Messaging: Kafka (producers/consumers)Infra: Kubernetes, Docker, GitHub Actions, JenkinsObservability: OpenTelemetry, Prometheus, structured logginNetwork Automation (good to have): Netmiko, TextFSM, NornirRequired Qualifications5+ years of professional software engineering experience.Strong Python proficiency with async/await patterns (FastAPI or similar).Experience with network automation tools such as Netmiko, TextFSM, or Nornir.Production TypeScript/React experience — components, hooks, server‑state libraries.Working proficiency in Go (building and maintaining services).Hands‑on distributed systems experience — workflow engines, queues, saga patterns, eventual consistency.CI/CD pipeline development using GitHub Actions or Jenkins.Experience with MongoDB — schema design, async drivers, aggregation, indexing.Solid understanding of Kubernetes and Docker.Strong PlusesFamiliarity with routing and network protocols (BGP, VRFs, NAT, PAT) and exposure to devices from Juniper, Cisco, Nokia, or Arista.Performance testing experience for software or network systems.Hands‑on work with workflow engines like Temporal, Cadence, Step Functions, or Prefect.Deep experience with gRPC and Protocol Buffers, including streaming RPCs and cross‑language service interactions.Kafka knowledge — consumer groups, delivery guarantees, async message processing.Observability tooling — distributed tracing, metrics, and structured logging via OpenTelemetry.What Makes This Role InterestingSolve challenging distributed‑systems problems involving concurrency, partial failures, durable execution, and cross‑language orchestration.Take full‑stack ownership — from database schema to React UI to workflow logic.Work across Python, Go, and TypeScript in a modern polyglot environment.Build systems that orchestrate thousands of concurrent operations with built‑in re