Overview
Own and evolve the platform foundation for growth product engineering, enabling safe AI-assisted development and faster delivery across AWS-based services.
What you'll do
- Own hardened CI/CD pipelines with testing, security gates, regression guards, progressive delivery, and automated rollback.
- Build ephemeral per-PR environments and self-service developer tooling.
- Centralize AWS logging, monitoring, alerting, and automated deployment rollback.
- Lead security engineering, including vulnerability remediation, code scanning, secrets management, and access control.
- Migrate AWS resources to Infrastructure as Code and separate production from pre-production accounts.
- Build AI agents for alert triage, incident investigation, and safe remediation.
- Ship customer-facing backend features alongside platform work.
What you'll need
- 6+ years of professional software, infrastructure, DevOps, platform, or site reliability engineering experience.
- Production AWS experience with IAM, Lambda, networking, and multi-account organizations.
- Infrastructure as Code experience with Terraform, AWS CDK, or CloudFormation.
- Experience designing and operating CI/CD pipelines with automated testing, analysis, coverage enforcement, and deployment gates.
- Strong Python experience and familiarity with JavaScript-based stacks.
- Experience with Docker and ECS, EKS, or Kubernetes.
- Experience with observability, cloud security, production infrastructure, AI development tools, and customer-facing product features.
Nice to have
- Experience with guardrails for AI-generated code, developer experience tooling, cloud cost management, performance detection, or disaster recovery.
- Exposure to localization, GTM or data tooling, emerging AI technologies, and SLI/SLO practices.
Details
- Remote role for candidates residing in the United States, excluding specified metro areas.
- Annual base salary: USD 131,792–199,350.
- Full-time position.
Read the full description and apply on the company’s own careers page.