Senior Platform Engineer

Responsibilities

• Design, build, and operate secure, scalable, multi-account AWS infrastructure using Terraform, with reusable modules that drive consistency and reduce configuration drift.
• Evolve our CI/CD pipelines and deployment automation to enable faster, safer, and more reliable releases.
• Build self-service platforms and automation that reduce developer friction and manual operational toil.
• Implement monitoring, observability, and alerting that improve operational visibility and incident readiness.
• Drive AWS cost optimization and operational efficiencies without slowing engineering velocity.
• Partner closely with engineering teams to understand their needs, remove friction from their workflows, and turn recurring pain points into self-service solutions.

Requirements

• Minimum of Associate’s Degree, Bachelor’s Degree preferred.
• 7+ years in platform, infrastructure, DevOps, or SRE, with deep hands-on AWS.
• Strong expertise with Terraform and multi-account, multi-environment IaC patterns at scale, including remote state management (S3/DynamoDB).
• Strong experience with modern CI/CD systems and automated deployment pipelines (GitHub Actions preferred).
• Experience with AWS compute: EC2 and containerized workloads on ECS/Fargate (Docker).
• Experience supporting production databases such as MongoDB, PostgreSQL, and MySQL.
• Experience with observability platforms: CloudWatch and New Relic or similar.
• Strong software engineering skills in Python or TypeScript: you build platform tooling and automation as production-grade software (tested, versioned, operable), not one-off scripts.
• You think in distributed systems: failure modes, idempotency, retries, and backpressure, and how infrastructure design decisions shape application reliability at scale.
• Experience supporting SOC 2 audits and compliance in regulated environments. The bar is higher than using AI tools day to day. Specifically: You delegate whole pieces of work to autonomous agents, run several in parallel, and review and direct their output rather than hand-typing most of it. Infrastructure code is no exception.
• You know how to operationalize AI-generated changes in production environments: policy checks, plan-review gates, and blast-radius controls, so agent speed never outruns safety.
• Experience with AI-enabled operational workflows and LLM platforms such as Amazon Bedrock.

Preferred Skills

• Internal developer platform experience, including self-service infrastructure for engineering teams.
• EKS / Kubernetes experience: a direction we’re beginning to explore.
• A track record of modernizing manual, older deployment and infrastructure patterns toward fully automated models.
• Experience thriving in a high-autonomy, remote-first engineering culture.
• Experience with secure SDLC and software supply-chain security (e.g., Dependabot, push protection, dependency and secret scanning).
• Familiarity with AWS security posture tooling (GuardDuty, Security Hub, Config) is a plus.