Sr. Platform Software Engineer

STLabs is an AI service management platform that resolves employee requests end-to-end, grounded in a living model of the enterprise. This matters because we're able to resolve requests with full context - the people, systems, services, and policies that define how an organization actually runs. Requests that used to take days of back-and-forth resolve in minutes, right where employees already work.

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The role

We’re looking for a Senior Platform Software Engineer to build the systems, tooling, and internal platform that make engineers dramatically more productive.

This role sits at the intersection of:

• Platform engineering

• Developer experience (DevEx)

• Infrastructure automation

• Distributed systems

You’ll build the foundation that enables engineers to Ship faster, Deploy safely, Debug quickly & Operate confidently in production

This is a highly hands-on engineering role. You’ll write code, design systems, and shape how engineering works across the company.

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What you’ll work on

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Developer Productivity & Internal Platform

• Build and evolve our internal developer platform (IDP)

• Create self-service tooling that makes spinning up services, environments, and infrastructure effortless

• Improve local development workflows, testing, deployment ergonomics, and developer feedback loops

• Reduce operational friction through automation and platform abstractions

CI/CD & Release Engineering

• Design and maintain scalable CI/CD systems using GitHub Actions &Infrastructure-as-code workflows

• Improve: Build times, Deployment reliability & Rollback and recovery systems

• Create deployment workflows that are fast, observable, and boring in production

Cloud Infrastructure & Kubernetes

• Design and operate cloud-native systems on AWS, EKS, Docker & Kubernetes

• Improve platform scalability, resilience, and developer onboarding

• Define service architecture and deployment standards across the engineering organization

Observability & Reliability

• Own observability across the platform using Datadog, Metrics, Logging and Distributed tracing

• Build dashboards, alerts, and operational tooling engineers actually use

• Improve reliability, performance, and operational visibility across services