Staff Software Engineer – Full-Stack

Equinix; Bengaluru; On-site; INR 2,000,000 - 2,500,000; Full time

Job summary

Equinix is looking for a highly skilled Staff FullStack Software Engineer to design, build, and operate a distributed automation platform. This role encompasses backend services, frontend development, and DevOps responsibilities, ensuring network services are reliable and performant.

The ideal candidate will possess extensive experience in Python, TypeScript, and Go, with a strong background in distributed systems and network automation tools. Join us in enhancing our Network Process Automation suite!

Qualifications

• 5+ years of professional software engineering experience.
• Strong proficiency in Python with async/await patterns.
• Experience with network automation tools like Netmiko or Nornir.

Responsibilities

• Design and build distributed systems with workflow orchestration.
• Develop modern React frontends with server-state management.
• Deploy and operate services on Kubernetes with best practices.

Skills

Python proficiency

TypeScript proficiency

Go programming

Distributed systems experience

Network automation tools knowledge

Tools

Kubernetes

MongoDB

Docker

Kafka

Job description

Who are we

Equinix is the worlds digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

About the Role

We are seeking a highly skilled Staff FullStack 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 endtoend 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 Youll Do - Enhance our Network Process Automation suite of applications and processes

Distributed Systems Backend Development

• Design and build distributed systems with durable workflow orchestration, saga compensation, and fanout/fanin concurrency.
• Develop async REST APIs, service layers, background workers, and workflow logic.
• Build and maintain Go services, including gRPC servers, streaming RPCs, and crosslanguage 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 productionlike environments.

Frontend Engineering

• Develop modern React/TypeScript frontends using componentbased architecture, hooks, serverstate management, and realtime data flows.

DevOps, Deployment Observability

• Deploy and operate services on Kubernetes with container bestpractices, 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 realservice 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 experience

• Practical experience leveraging AIassisted development tools (e.g., GitHub Copilot, codegeneration assistants, staticanalysis 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 AIbased 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, codequality safeguards, and validation of AIgenerated 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 loggin
• Network Automation (good to have): Netmiko, TextFSM, Nornir

Required Qualifications

• 5+ 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, serverstate libraries.
• Working proficiency in Go (building and maintaining services).
• Handson 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.
• Handson work with workflow engines like Temporal, Cadence, Step Functions, or Prefect.
• Deep experience with gRPC and Protocol Buffers, including streaming RPCs and crosslanguage 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 Interesting

• Solve challenging distributedsystems problems involving concurrency, partial failures, durable execution, and crosslanguage orchestration.
• Take fullstack 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 builtin resilience.
• Directly influence the automation and reliability of largescale network operations.

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 .

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 consideration 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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This posting is a new position within our organization.