DevOps Engineer
Hybrid (San Francisco, CA)$150k - $180kFull-timePosted 8mo ago
About the role
Role focused on designing, building, and operating reliable cloud infrastructure for real-time voice AI systems, with emphasis on Kubernetes, IaC, CI/CD, observability, security, and GitOps. Office-based in San Francisco.
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 fast api 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
Skills
Required:AWSKubernetesIaCCI/CDGitOps
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Phonely
AI call centers
Phonely uses existing call recordings to create a 'AI vocal twin' that can answer customer support calls and match or outperform call center agents. On top of that we've built a Zapier like workflow that lets businesses connect to software or transfer calls just like a person would. Our platform sits on proprietary deterministic LLM that is both cheaper and more accurate than gpt-4o for call center inquiries.
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