Why This Role Stands Out
This role offers a unique opportunity to build the core platform that drives engineering productivity at an innovative AI service management company, allowing you to significantly impact developer experience. You'll thrive here if you are a skilled platform engineer passionate about automation, distributed systems, and creating seamless developer workflows. Apply now to shape the future of engineering at St Labs!
Quick Overview
Job Description
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
Build dashboards, alerts, and operational tooling engineers actually use
Improve reliability, performance, and operational visibility across services
Distributed Systems & Platform Services
Work across core infrastructure systems including: PostgreSQL, Kafka, Redis & Temporal
Engineering Enablement
Partner closely with backend and AI engineers to improve platform usability
Establish engineering standards and platform best practices
Make infrastructure feel like a product, not a support function
Bonus points
Experience building Internal Developer Platforms (IDPs)
Experience in high-growth or early-stage startups
Experience with AI/ML infrastructure
Experience designing multi-service distributed systems
Why this role matters
Most companies treat platform engineering as support.
We don’t. This team will define how every system is built, every engineer work and how fast we can ship. If we get this right, everything else gets easier.
As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. The reasonably estimated yearly salary for this role at is: $160,000—$250,000 USD.
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