{"id":131902,"url":"https://alion.io/job/zeroto1-principle-software-engineer","title":"Principle Software Engineer","company":{"id":3193,"name":"Zeroto1","domain":"zeroto1.ai","url":"https://alion.io/company/zeroto1","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Django","optional":false},{"name":"Function Calling","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Pydantic","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-08-27T10:53:06Z","employer_posted_date":null,"last_verified_at":"2026-08-27T10:53:06Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"As a Principal Engineer, you will be the senior technical leader responsible for architectural coherence across Lighthouse and the enterprise AI systems it accelerates. This is a hands-on leadership role; you will write and review code on the highest-risk paths, define durable system boundaries, and lead critical engineering decisions where enterprise data, permissions, workflows, and models meet.\nResponsibilities:\nArchitecture and Contracts: Set and evolve the reference architecture across the Lighthouse control plane, Context Layer, workflow/agent runtimes, and production operations. Define the contracts that keep the platform portable.\nSecurity and Deployment: Own security, multi-tenancy, and deployment architecture across shared, dedicated, and customer-hosted environments (identity, authorisation, secrets, data residency).\nWorkflow Reliability: Design reliable execution for deterministic and model-driven workflows (handling long-running states, idempotency, partial failures, and rollbacks).\nAI Quality and Ops: Establish engineering standards for AI quality and system operations, including evaluation datasets, regression gates, tracing, latency/cost budgets, and model fallbacks.\nExecution and Mentorship: Personally design and implement components with the highest architectural or security risk while mentoring engineers and aligning with stakeholders.\nRequirements:\n8+ years of production software experience, including principal-level technical leadership across distributed, data-intensive, platform, or enterprise systems.\nDeep hands-on expertise in Python, API/service design, relational data modelling, asynchronous/event-driven systems, and cloud-native operations.\nProven AI/ML Production Experience: Track record of taking AI/ML systems beyond prototypes into production (structured model outputs, tool use, retrieval, evaluation, and guardrails).\nArchitectural Excellence: Experience defining architecture across multiple services and deployment modes, handling identity, authorisation, customer isolation, and failure recovery.\nStrong Technical Judgment: Sharp decision-making skills regarding build-vs-buy choices, data ownership, scalability, and knowing exactly how much abstraction is justified at each stage.\nNice to Have / Bonus:\nExperience with enterprise metadata, semantic/knowledge-graph systems, workflow engines, or data/developer platforms.\nFamiliarity with our potential stack: FastAPI/Pydantic, PostgreSQL, Redis, Event Systems, MCP, Vector/Graph stores, Docker/Kubernetes, AWS/Azure/GCP.\nExperience deploying into regulated, 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