We are looking for a Senior Software Engineer, Infrastructure with ideally 5+ years of experience to own and evolve the build, release, and runtime foundations at a fast-scaling voice AI company. You'll design and automate deployment pipelines across cloud SaaS and on-prem environments, orchestrate containers at scale, and ensure reliable, compliant releases. This is a high-impact role where you'll be the responsible adult in production - working cross-functionally with product, security, and customer teams to turn real-world learnings into reusable platform capabilities. If you thrive in ambiguity, move fast, and want to shape infrastructure from the ground up at a company growing from $5M to $36M ARR in a single year, this is the role for you.
What you will be doing
- Designing and operating end-to-end CI/CD pipelines with blue/green, canary, and phased rollout strategies - including graceful draining for high-availability systems
- Architecting, maintaining, and hardening Kubernetes-based runtime infrastructure (Docker, Helm) across multi-cluster and multi-tenant environments on AWS, Azure, and Google Cloud Platform
- Integrating compliance controls (SOC 2, ISO 27001, HIPAA) directly into delivery pipelines - including artifact signing, SBOMs, secret management, and policy-as-code
- Implementing robust observability (metrics, logs, traces), SLOs/error budgets, and automated rollback capabilities
- Deploying at customer sites (cloud or on-prem), leading incident response and postmortems, and codifying best practices into tooling and templates
Tech stack
Kubernetes, Docker, Helm, Terraform, AWS, Azure, Google Cloud Platform, Grafana, Python, Bash
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