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.

Requirements

Must-haves

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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aidesign systemsci/cdkubernetesawsdockerml

Platform: ashby
Effort: quick