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DevOps Engineer - Real-Time Voice Platform (Docker, Terraform, AWS/GCP)

Blessing Softtech

2 - 5 years

Pune City

Posted: 17/04/2026

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Job Description

Senior DevOps Engineer Docker, Terraform, Real-Time Infra Employment type: Full-time Seniority level: Mid-Senior Workplace: In person/ Hybrid (India preferred, IST hours)


Industry: Software Development


Job function: Engineering, Information Technology


About the role

You will be working on Docker, CI/CD, IaC, monitoring, cloud deployment, secrets management.


Just a Python FastAPI app that spawns Node.js subprocesses, juggles WebRTC signaling and WebSocket audio, and handles long-lived real-time voice sessions.


Your job: make the software deployable, observable, and reliable - from scratch. If the phrase "connection draining for WebRTC during rolling deploys" makes you smile instead of wince, we should talk.


What you'll do
  • Containerize the app with multi-stage Docker builds: Python 3.12 + Node.js 20 (for Pipedream MCP via npx) + FAISS CPU + audio deps
  • Build the CI/CD pipeline: ruff pytest integration Docker build registry staging smoke manual gate production
  • Write Terraform for the full cloud stack: ECS Fargate or Cloud Run, ALB with WebSocket upgrade, managed Redis, managed Postgres, S3/GCS, CDN, DNS, ACM
  • Build the observability stack: structured JSON logs, Prometheus metrics (call latency, LLM TTFB, tool execution, concurrent connections), Grafana dashboards, PagerDuty alerts with runbooks
  • Migrate secrets from .env to AWS Secrets Manager / Vault, with key rotation and per-tenant credential storage
  • Configure networking: TLS, WebSocket upgrade through ALB, CORS, infra-level rate limiting, DDoS protection, VPC with private subnets
  • Build load testing (k6 or Locust) simulating concurrent voice calls, chat, and MCP tool invocations
  • Write operational runbooks: incident response, DR, rollback, on-call rotation, post-incident reviews


Tech you'll work with

Docker docker-compose GitHub Actions Terraform AWS (ECS Fargate, ALB, ElastiCache, RDS, S3, CloudFront, Route53, ACM, Secrets Manager, CloudWatch) or GCP equivalents Prometheus Grafana k6 / Locust Python 3.12 Node.js 20 WebSocket WebRTC


What you bring
  • 3+ years in DevOps / SRE / Platform Engineering
  • Strong Docker: multi-stage, multi-runtime, security hardening
  • Production CI/CD pipeline design (GitHub Actions, GitLab CI, or Jenkins)
  • Terraform on real infrastructure (not tutorial-scale)
  • AWS or GCP at production scale
  • WebSocket / real-time app deployment: sticky sessions, connection draining, stateful health checks
  • Prometheus / Grafana or equivalent observability stack
  • Strong Linux and networking fundamentals


Nice to have
  • Load testing experience (k6, Locust)
  • Python app deployment (uv/pip, FastAPI, Uvicorn)
  • WebRTC operational experience


Skills
  • Docker Terraform AWS GCP CI/CD GitHub Actions Kubernetes Prometheus Grafana Infrastructure as Code DevOps Site Reliability Engineering (SRE) WebSocket WebRTC Linux Networking Observability ECS Fargate PostgreSQL Redis


Data: SQL / NoSQL databases, message queues

Observability: CloudWatch, logging, and metrics

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