Own and evolve our AWS infrastructure using Terraform and Pulumi Cloud
treating infrastructure as a product that engineering teams depend on.
Design and maintain internal developer tooling and libraries that standardize how we build and ship
code generation, shared SDKs, data access patterns, and service scaffolding.
Create and maintain golden paths for common workflows (new service setup, background jobs, event streams, APIs) so teams can ship quickly with built-in security and observability (and consistent defaults across services).
Build and maintain CI/CD pipelines and per-PR ephemeral environments that make deploying feel easy and safe.
Drive reliability through SLOs, auto-scaling, incident response, and postmortems
and build systems that make the next incident less likely.
Create observability tooling and shared instrumentation libraries that give engineers real-time insight into their services.
Enforce security best practices across IAM, secrets management, encryption, audit logging, and DDoS protection.
Own the reliability and performance of our data platform (Aurora PostgreSQL)
provisioning, backups, failover, and tuning
and build tooling that makes safe usage the default.
Reduce toil through automation and self-service tooling so engineers can move fast without waiting on the platform.
Contribute to architecture decisions and documentation, and participate in on-call rotation (shared by the whole engineering team).

Experience building internal platforms / developer tooling: code generation, CLIs, templates, shared SDKs, or frameworks that improve engineering velocity.
Strong TypeScript skills and API design taste
you enjoy building stable primitives that other engineers rely on.
Deep AWS experience across compute, networking, storage, and security (ECS, Lambda, VPC, ALB, IAM, RDS, ElastiCache, MSK, OpenSearch, S3, CloudWatch, CloudTrail, GuardDuty).
Strong Terraform and/or Pulumi proficiency: modules, workspaces, and CI-driven plan/apply workflows.
Experience designing and operating CI/CD systems that help large engineering teams ship frequently and confidently.
Track record building production observability stacks (Datadog, CloudWatch, Sentry, distributed tracing, SLOs).
You’ve built “paved roads” that bake in secure, reliable defaults (instrumentation helpers, policy-as-code, safe-by-default deployment patterns).
Security-first mindset
you proactively harden infrastructure without slowing teams down.
Aurora PostgreSQL operations at scale: backups, PITR, failover, read replicas, query tuning.
Comfort with Docker and container orchestration environments.
Reliability engineering mindset: SLOs, error budgets, incident response.
Curiosity about the unique infrastructure demands of AI and LLM workloads.
Strong written communication
you document decisions and help the team understand the systems they depend on.

Senior Platform Engineer

Key skills