Client Engineering
Build close to the people who use the software: turn customer processes, systems, and needs into AI operations that teams can monitor and improve.
Explore the team ↗Careers at Starya
Build AI that works in real operations.
We connect artificial intelligence, software, and data to real business problems. We want to meet people who enjoy building with depth and following the results of their work.
Where you can contribute
Three teams. Connected work.
Product Engineering
Turn operational lessons into product capabilities: connect engineering, research, design, and quality to create reusable experiences and capabilities.
Explore the team ↗Data, Infrastructure & Security
Build the foundations for operating and growing: usable data, reliable infrastructure, and protection embedded in the work of every team.
Explore the team ↗Opportunities and talent pool
Find your next challenge.
Explore the roles, understand the challenges, and find where your experience can make a difference.
12 roles found
Product Engineering
AI Research Engineer
Develop AI methods and evaluations that guide release and evolution at scale, with traceability, quality, and control for operations in regulated environments.
Client Engineering
Client Engineering Lead
Lead people and build software close to customer operations: connect discovery, code, and delivery decisions to apply AI with NebulaOS to real processes and systems.
Data, Infrastructure & Security
Data Engineer
Develop ingestion pipelines and data models for NebulaOS, preserving the history, quality, and meaning of information from customer systems.
Data, Infrastructure & Security
Engineering Lead — Data, Infrastructure & Security
Lead the development of NebulaOS foundations: data contracts, deployment paths, and controls that teams can adopt and operate.
Product Engineering
Engineering Lead — Product Engineering
Develop people and guide the technical evolution of NebulaOS, turning operational needs into capabilities that different customers can adopt and the team can maintain.
Client Engineering
Forward Deployed Engineer (FDE)
Discover the problem with the people who run the operation and code the solution: connect data, systems, and AI workflows in NebulaOS, following what happens after deployment.
Product Engineering
Product Designer
Design the operational experience of NebulaOS so people can configure agents and workflows, monitor executions, and intervene with clarity when a situation requires a human decision.
Product Engineering
Product Manager
Lead discovery, priorities, and adoption for NebulaOS, connecting operational problems to product choices and results that users and teams can recognize.
Product Engineering
Quality Engineer (QA)
Build quality evidence for NebulaOS, combining automation, investigation, and AI evaluation to verify journeys, authorization, and effects on integrated systems.
Data, Infrastructure & Security
Security Engineer
Implement and test authorization, customer isolation, and data protection in NebulaOS, from code and integrations to execution infrastructure.
Data, Infrastructure & Security
Site Reliability Engineer (SRE)
Build infrastructure, automation, and observability to deploy and operate NebulaOS, recover from failures, and keep capacity and costs appropriate to usage.
Product Engineering
Software Engineer
Deepen your Backend, Frontend, or Full-stack practice in NebulaOS, building services and experiences that let people configure, monitor, and intervene in AI operations.