Sr. Software Engineer
St Labs
| Company | St Labs |
| Category | Engineering |
| Location | New York City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 11 Dec 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Standard Template Labs is an AI-native, seed stage startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.
About the Role
We’re looking for a Senior Software Engineer who thrives in an AI-native environment—someone who’s excited to build scalable, intelligent systems that blend automation, reasoning, and modern infrastructure.
You’ll play a key role in architecting and implementing the systems that power our AI-driven platform, helping define how we integrate large language models (LLMs), knowledge graphs, and intelligent workflows into enterprise-scale software.
This is a hands-on role for someone who codes deeply, thinks systemically, and wants to shape the future of AI-augmented engineering.
Responsibilities
AI-Driven Technical Ownership
- Take end-to-end ownership of complex features and systems—from architecture and implementation to deployment and observability.
- Design and evolve AI-native services that embed LLMs and reasoning capabilities directly into product workflows.
- Work cross-functionally with product, design, and data teams to infuse AI-powered intelligence into the user and developer experience.
- Drive architectural decisions that balance rapid experimentation with long-term scalability and reliability.
Hands-On Engineering
- Backend First: Lead design, implementation, testing, and deployment of backend services, APIs (REST/GraphQL), and core data infrastructure that power scalable enterprise workflows.
- Full Stack Delivery: Build user-facing features where needed, connecting frontend UI with backend systems — you’ll own the full path from browser to database.
- Shape the Stack: Help define and evolve our architecture — from backend systems and databases to the UI frameworks and client integrations that consume them.
- AI and Workflow Innovation: Integrate AI/LLM capabilities into backend pipelines and product logic that make ITSM smarter and easier to use.
- Performance & Scale: Architect highly performant, secure, and scalable services for enterprise environments, with monitoring and observability in place.
- Collaboration: Partner with designers, frontend engineers, and infrastructure teams to translate product thinking into real, high-impact solutions.
- Developer Experience: Improve internal tooling, deployment pipelines, and best practices around CI/CD and automated testing.
- Security & Compliance: Build with enterprise-grade security and compliance in mind from the start (SOC 2, ISO 27001).
Qualifications
- Experience: Strong background in backend systems and API design with real SaaS production experience; comfortable contributing across the stack.
- Backend Languages: Proficiency in one or more modern backend languages (Python, Go, Rust, C++, etc.) and designing distributed systems.
- Frontend Fluency: Familiar with modern frontend frameworks (React, Vue, Angular) and comfortable building or iterating on UI components that interface with your backend.
- Databases & Storage: Strong hands-on experience with NoSQL and (ideally) graph or databases.
- Cloud & DevOps: Experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and infrastructure as code (Terraform).
- Problem Solving Mindset: Pragmatic, product-driven engineer who thrives in high-velocity startup environments and can balance backend complexity with UI quality.
- Bonus: Experience integrating AI/LLM features or working with enterprise workflow systems.
Nice to Have
- Experience building microservices or event-driven architectures.
- Prior experience with high-throughput or low-latency systems.
- Contributions to open-source projects or a strong portfolio of technical work.
Why You’ll Love This Role
- Build core systems for an AI-native ent