Sr. Software Engineer

Responsibilities

• 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.
• Lead design, implementation, testing, and deployment of backend services, APIs (REST/GraphQL), and core data infrastructure that power scalable enterprise workflows.
• 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.
• Integrate AI/LLM capabilities into backend pipelines and product logic that make ITSM smarter and easier to use.
• Architect highly performant, secure, and scalable services for enterprise environments, with monitoring and observability in place.
• Collaborate: Partner with designers, frontend engineers, and infrastructure teams to translate product thinking into real, high-impact solutions.
• Improve internal tooling, deployment pipelines, and best practices around CI/CD and automated testing.
• Build with enterprise-grade security and compliance in mind from the start (SOC 2, ISO 27001).

Qualifications

• Strong background in backend systems and API design with real SaaS production experience; comfortable contributing across the stack.
• Proficiency in one or more modern backend languages (Python, Go, Rust, C++, etc.) and designing distributed systems.
• Familiar with modern frontend frameworks (React, Vue, Angular) and comfortable building or iterating on UI components that interface with your backend.
• Strong hands-on experience with NoSQL and (ideally) graph databases.
• Experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and infrastructure as code (Terraform).
• 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.
• Prior experience with high-throughput or low-latency systems.
• Contributions to open-source projects or a strong portfolio of technical work.