Staff Software Engineer
Role details
Job location
Tech stack
Job description
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.
Responsibilities
Distributed Systems & Backend Development
- 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
Frontend Engineering
- Develop modern React/TypeScript frontends using component-based architecture, hooks, server-state management, and real-time data flows
DevOps, Deployment & Observability
- 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
Quality Assurance & Validation
- 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, 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 form.
Requirements
Do you have experience in gRPC?, * 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
Tech Stack
- Languages: Python 3, TypeScript, Go
- Frontend: React 19, Vite
- Backend & Services: FastAPI/ASGI, gRPC, Protocol Buffers
- Database: MongoDB (async drivers, indexing, aggregation pipelines)
- Messaging: Kafka (producers/consumers)
- Infra: Kubernetes, Docker, GitHub Actions, Jenkins
- Observability: OpenTelemetry, Prometheus, structured logging
- Network Automation (Plus): Netmiko, TextFSM, Nornir, * 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
Strong Pluses
- Familiarity 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