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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
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
Tools & Technologies
DockerKubernetesHelmGitOpsCI/CDRBACsecrets managementobservabilitysecure cloud infrastructuremodel-serving infrastructure
Industry Keywords
service mapsdata modelsarchitecture diagramsacceptance criteriaproduction-grade servicesentity resolutionevidence managementaudit loggingrelationship topologysource-conflict preservation
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