Senior Software Engineer

Job DescriptionJob DescriptionOverviewAbout AIR at Atrium:Atrium Innovation Research (AIR) is where early stage ideas and applied research become products. The AIR Incubator is a hands-on venture studio: small, cross-functional teams take promising concepts, many rooted in emerging AI and machine learning work, and move them from a hypothesis to a validated, revenue-ready product. We operate with the urgency of a startup and the resources of an established organization, running several bets in parallel and doubling down on the ones that show real traction.Position Overview:Atrium is seeking a Senior Software Engineer to take AIR products from early stage seeds to enterprise ready. Our current full-stack developer gets products to MVP and V1 quickly. You will pair with them on that speed, then own what comes next: security, scalability, reliability, and the deployment practices enterprise clients expect.This is a hands-on role. You will write code daily, set the engineering bar for the team, and use AI coding tools as a core part of how you build. You will get the autonomy of a startup with the support of an established research organization, including real budget, senior partners, and a mandate to build something new, and your work will directly shape which ventures get launched. ResponsibilitiesHarden MVPs for production by refactoring prototype code, defining clean architecture, and deliberately paying down technical debtDesign for scale with multi-tenant data models, performance tuning, caching, queuing, and horizontal scalingOwn security, including authentication and authorization (SSO/SAML, OAuth, RBAC), secrets management, encryption, and secure handling of candidate and worker PIIPrepare products for enterprise security reviews and compliance frameworks such as SOC 2Stand up and own cloud infrastructure, infrastructure-as-code, CI/CD pipelines, environments, release management, monitoring, alerting, and incident responseBuild reliable integrations with enterprise systems, including VMS platforms (Beeline, SAP Fieldglass, VNDLY), ATS, and HRISBuild new features and help take new products from concept to MVP alongside our product developerUse AI coding tools daily (Claude Code, Cursor, Copilot, or similar) and build AI-powered features with LLM APIsSet engineering standards, including code review, testing, documentation, and guardrails that let a small team move quickly without breaking thingsMentor teammates and advise on build-versus-buy and architecture decisions#LI-AJ3 Qualifications8+ years of professional software engineering, including 3+ years building and running production SaaS used by business customersStrong full-stack skills in a modern stack, such as TypeScript/Node.js or Python on the back end and React on the front endHands-on experience deploying and operating on a major cloud (AWS, Azure, or GCP), including containers, infrastructure-as-code (Terraform or similar), and CI/CDSolid grounding in application security: OWASP Top 10, identity and access management, data protection, and secure SDLC practicesExperience designing multi-tenant systems and relational databases (PostgreSQL or similar) that scaleDaily, practical use of AI coding assistants, and experience integrating LLM APIs into productsComfort moving between rapid prototyping and disciplined production engineering, with judgment about which a situation calls forClear communication with non-engineers, including product leaders and clientsNice to Have:Experience taking a product through SOC 2 Type II, ISO 27001, or enterprise vendor security questionnairesHR tech, staffing, or workforce management background, especially VMS, ATS, or payroll integrationsExperience building with AI agents, retrieval-augmented generation (RAG), or MCP-based tool integrationsExperience with data pipelines and analytics workloadsPrior work at an early-stage startup or internal incubator