Software Engineer IV, Datastore
Leads architecture and development of Beacon’s backend Datastore, including PostgreSQL models, Kafka pipelines, and GraphQL APIs for clinical and scientific data. Requires 7+ years of backend experience, strong SQL and data-platform expertise, and proficiency in Julia or Python.
About the job
Responsibilities
- Lead design and architecture for complex Datastore systems, weighing implementation trade-offs with data-driven engineering principles.
- Design and scale backend data infrastructure, including PostgreSQL data models, Kafka-driven event pipelines, and GraphQL APIs.
- Own pipelines that deliver dataset snapshots into the data warehouse.
- Translate product, scientific, clinical, and partner requirements into integrations, services, and scalable data-platform solutions.
- Debug and profile cross-system problems, improving structure, test coverage, tooling, operational robustness, documentation, and dashboards.
- Draft RFCs and lead technical discovery and design phases.
- Plan individual and team work while balancing speed, generalizability, and technical debt.
- Mentor engineers, provide actionable feedback, and serve as a technical lead or engineering-practice coordinator.
- Collaborate across platform, application, scientific, clinical, and support teams.
Requirements
- 7+ years of backend development experience, including at least 3 years focused on data platforms and backend infrastructure for data-centric applications.
- Advanced expertise in at least one of data modeling, distributed systems, API design, or database engineering.
- Strong SQL proficiency and production PostgreSQL experience, including schema design, indexing, query tuning, and query plans.
- Hands-on experience with data streaming and event processing using Kafka or an equivalent technology.
- Proficiency in Julia or Python.
- Experience with GraphQL and TypeScript/JavaScript, including Node.js.
- Experience deploying and operating services in containerized environments.
- Familiarity with Kubernetes and infrastructure-as-code tools such as Terraform or Helm.
- Track record of mentoring engineers and improving team practices, tooling, testing, or documentation.
- Strong written and verbal communication skills.
- Ability to work effectively in hybrid or fully remote teams.
- Experience with or interest in LLM-assisted or agentic coding tools in production, with appropriate guardrails.
Nice-to-haves
- Julia experience.
- Experience with Kafka, RabbitMQ, Pulsar, Amazon Kinesis, or comparable cloud event-streaming platforms.
- Interest in data infrastructure for healthcare and scientific applications.
Skills
Postgres, SQL, Kafka, GraphQL, Julia, Python, TypeScript, JavaScript, Node.js, Kubernetes, Terraform, Helm, Distributed Systems, Data Modeling, Llm Coding Tools
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