Staff Software Engineer, Equinix

• Proven 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

Desirable

• We are seeking a highly skilled Senior 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
• Design 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
• Develop modern React/TypeScript frontends using component‑based architecture, hooks, server‑state management, and real‑time data flows
• Deploy 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
• Build 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
• Practical 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 architecture
• Generating refactoring suggestions
• Reasoning about defects, logs, or stack traces
• Assisting with API usage, type inference, or schema evolution
• Incorporate 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 patterns