Staff Engineer - Platform & Tooling

Atominvest is hiring a Staff Engineer to own the platform its clients run on and build the AI development harness its engineers work in day to day. The role spans infrastructure to application code, covering infrastructure, security, test automation, developer experience and agent pipelines. The engineer will strengthen the architecture for future scale, keep the platform dependable and audit-ready, and work across the stack, including ECS migration, QA automation and product features in TypeScript and React. This is an individual contributor role with expected team multiplication, and it is not a people management role.

Responsibilities

Build the AI development harness, including self-service infrastructure, a reproducible development environment, and the sandboxes, guardrails and evals that let agents take on more of the work safely; Automate quality by building the QA automation pipeline, including automated tests, validation gates and release checks; Orchestrate agents across the business by building pipelines that run agents reliably and safely in product workflows and internal implementation tools; Own infrastructure by strengthening the ECS architecture, completing the migration from the old deployment model, and bringing every resource under infrastructure as code; Build security into the platform, including tenant-scoped credentials, per-tenant secrets, least-privilege access, and audit trails for SOC 2 and client security teams; Make production observable by setting up monitoring, alerting and tracing, and building on-call and incident response playbooks; Make application changes the harness needs, such as synthetic data, test hooks and specs; Ship product by picking up application work in TypeScript and React alongside the team; Grow the team by writing design notes and runbooks, reviewing engineers' work, and mentoring engineers who want to grow into infrastructure

Requirements

Deep, hands-on AWS with several years running production workloads on ECS or EKS, with a solid grasp of IAM, networking and Lambda; Infrastructure as code as a habit, with Terraform or CloudFormation, including bringing existing hand-built resources under code; Scaling distributed systems, having taken systems through real growth in load and data; Single-tenant SaaS experience, knowing the isolation trade-offs and how to keep one client's data and credentials away from another's; Security and compliance as part of engineering, including least privilege, secrets management, and evidence for SOC 2 or ISO 27001; Production experience with on-call, incidents, post-mortems, and observability tooling such as Datadog, Grafana or Honeycomb; Full-stack product building with senior TypeScript and Node.js, plus React, and a track record of shipping features end to end; Test automation and CI/CD, having designed pipelines that test at the right levels and release safely; Tooling built for AI agents, such as agent configuration and orchestration, MCP servers or similar integrations, evals, and automated review