DevOps Engineer
Designs, builds, and operates reliable cloud infrastructure for real-time voice AI systems. Owns Kubernetes clusters, CI/CD pipelines, observability, and security using AWS and IaC tools. Requires 5+ years DevOps experience with strong Python and async programming skills.
About the job
Responsibilities
- Design, build, and operate highly reliable cloud infrastructure that powers real-time voice AI systems with extremely low latency and high availability.
- Own Kubernetes clusters end-to-end: provisioning, scaling, upgrades, networking, and debugging production incidents under real customer load.
- Build, maintain, and evolve infrastructure as code using tools like Terraform, Pulumi, or CloudFormation to ensure repeatable, auditable, and secure environments across staging and production.
- Create and operate CI/CD pipelines that enable fast, safe iteration across multiple microservices and teams.
- Design and maintain observability systems (metrics, logs, traces, alerting) to detect failures early and rapidly diagnose production issues.
- Partner with backend engineers to translate application requirements into scalable, secure infrastructure and clean deployment workflows.
- Harden systems through strong security practices including IAM, secrets management, network isolation, and least-privilege access controls.
- Optimize cloud performance and costs while maintaining reliability, developer velocity, and customer experience.
- Implement and operate GitOps-driven deployment workflows, using Git as the source of truth for infrastructure and application state, enabling safe, auditable, and automated rollouts.
- Lead incident response: investigate outages, coordinate fixes, write postmortems, and drive systemic reliability improvements.
- Continuously improve resilience through load testing, chaos testing, capacity planning, and proactive infrastructure upgrades.
Qualifications
- 5+ years as a DevOps engineer
- Experience writing async web apps using FastAPI in Python
- Builder of APIs, Clouds, CI/CD pipelines
- Experience with IaC, AWS, Database Management at scale
- Understanding of good architecture, security practices
- Strong technical and communication skills
- Extensive experience with AWS & Kubernetes
Software Stack
- Backend: Python, microservices, async programming
- Cloud & Infrastructure: AWS, GCP, Kubernetes, Redis, ArgoCD, GitOps
- Databases: Firebase, Supabase (PostgreSQL)
- Frontend: Next.js
- Observability & Monitoring: Datadog, logging, metrics, tracing
- Telephony & Voice AI: SIP, voice APIs, real-time call handling
- Other tools & practices: CI/CD, automated testing, resilient architecture
Skills
Kubernetes, AWS, Terraform, CI/CD, GitOps, Python, FastAPI, Argo CD, Datadog, Redis, Postgres, GCP, Pulumi, CloudFormation, IAM
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