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Tech Stack
Tools & technologiesCloudDistributed SystemsDockerKubernetesPostgresPythonRaySQL
About the role
Key responsibilities & impact- Work side-by-side with the concept architect to convert advanced system ideas into technical specifications, service maps, data models, APIs, schemas, tests, and deployment plans.
- Translate verbal and written design guidance into architecture diagrams, implementation backlogs, acceptance criteria, and working prototypes.
- Identify ambiguity, missing assumptions, engineering risks, security issues, and implementation conflicts.
- Help turn an evolving concept architecture into reproducible, testable, maintainable software.
- Build production-grade Python services, APIs, data pipelines, background workers, and orchestration logic.
- Design clean service boundaries for ingestion, entity resolution, evidence management, review workflows, reporting, audit logging, and model integration.
- Design and implement relational schemas, graph models, object-storage structures, retrieval indexes, and audit records.
- Build canonical identity and entity-linking systems that reconcile conflicting real-world records.
- Support relationship topology, ownership mapping, provider-network analysis, and source-conflict preservation.
- Integrate model-serving infrastructure such as vLLM, KServe, Ray Serve, and Hugging Face, or equivalent tools where appropriate.
- Deploy services using Docker, Kubernetes, Helm, GitOps, CI/CD, RBAC, secrets management, observability, and secure environment practices.
Requirements
What you’ll need- 8+ years of professional software engineering experience, or equivalent exceptional experience.
- Expert-level Python engineering.
- Experience building production backend services, APIs, data pipelines, and distributed systems.
- Strong SQL and relational database design experience, preferably PostgreSQL.
- Experience with graph databases, knowledge graphs, or complex relationship modeling.
- Experience with LLM integration, open-weight models, structured outputs, prompt/template management, or model-evaluation workflows.
- Experience with Docker, Kubernetes, Helm, GitOps, CI/CD, and secure cloud or private infrastructure deployment.
- Experience with data validation, audit logging, RBAC, secrets management, and secure software design.
- Ability to design modular systems from ambiguous early-stage architecture.
- Ability to translate non-engineering conceptual guidance into concrete software architecture and implementation plans.
- Strong written documentation skills.
- Comfort working directly with a non-engineer concept architect.
Benefits
Comp & perks- 100% employer paid medical premiums for employees
- Self-managed PTO with a minimum time off requirement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLrelational database designPostgreSQLgraph databasesdata pipelinesAPIsdistributed systemsLLM integrationdata validation
Soft Skills
strong written documentation skillsability to design modular systemsability to translate conceptual guidancecomfort working with non-engineers