Platform Software Engineer
US$160,000 – US$250,000 / yr base salary
Posted 4 May 2026
Advertised as “Sr. Platform Software Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$160,000 – US$250,000 / yr |
|---|
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.
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.
What you’ll work on
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