Alinia's Back-End Engineer
Role details
Job location
Tech stack
Requirements
cost - Implement security best practices and support compliance with frameworks like SOC 2 and ISO 27001 - Work closely with product and front-end engineers , translating user and product needs into scalable backend architecture - Collaborate with technical vendors, AI providers, and cloud platforms on integrations and deployments - Triage and resolve backend bugs or incidents , especially those affecting customer experience - Support post-sales technical implementation and onboarding for enterprise customers Requirements - 3+ years as a backend engineer working on production systems - Strong proficiency in Python and experience building with FastAPI or similar frameworks - Deep experience with RESTful APIs , PostgreSQL , and Docker - Solid understanding of backend infrastructure , including deployment, CI/CD, observability, and debugging - Experience working with or integrating LLM inference pipelines - Familiarity with cloud platforms (e.g. AWS, GCP, or Azure) - Strong understanding of security, data privacy , and compliance in an enterprise SaaS context - Clear communicator and cross-functional collaborator - Comfortable working in a startup environment with shifting priorities and open threads Nice to have - Experience building and scaling systems to support LLM-serving infrastructure - Exposure to infrastructure-as-code (e.g. Terraform, Pulumi) and Kubernetes - Prior experience with SOC 2, ISO 27001 , or similar audits - 0*1 startup experience and ability to navigate ambiguity with ownership - DevOps mindset: build, monitor, fix, and improve continuously Why Join Alinia? - Cutting-edge tech : Work on one of the most important challenges in AI-alignment, safety, and trust - High ownership & growth : Be a core part of the early engineering team with massive upside - Flexible work : Hybrid or remote work, with preference for CET time zone - Collaborative culture : Small, experienced, mission-driven team - Impact : Directly shape the technical foundation of an AI governance platform adopted by enterprises J-18808-Ljbffr