Software Engineer IV, Datastore

24 hours ago

Remote, United States or Boston, MA, USAStaff+

H1B sponsor

Responsibilities

Lead the design and architecture of complex Datastore systems and data-platform projects.
Design and scale PostgreSQL data models, Kafka-driven event pipelines, warehouse snapshot pipelines, and GraphQL APIs.
Translate requirements from product, scientific, clinical, platform, application, and external stakeholders into integrations, services, and solutions.
Debug and profile ambiguous cross-system problems while improving structure, test coverage, tooling, and maintainability.
Draft RFCs, lead technical discovery, incorporate feedback, and guide implementation decisions.
Plan individual and team work while balancing delivery speed, generalizability, technical debt, and stakeholder needs.
Mentor engineers, provide actionable feedback, and potentially serve as a project technical lead or engineering-practice coordinator.
Improve Datastore operational robustness and usability through documentation, tools, and dashboards.

At least 7 years of backend development experience, including at least 3 years focused on data platforms and backend infrastructure for data-centric applications.
Deep proficiency in at least one of data modeling, distributed systems, API design, or database engineering.
Strong SQL proficiency and production PostgreSQL experience, including schema design, indexes, query tuning, and query-plan analysis.
Hands-on experience with streaming and event processing using Kafka or an equivalent such as RabbitMQ, Pulsar, or Amazon Kinesis.
Proficiency in Julia or Python; Julia experience is welcomed but not required.
Experience with GraphQL and TypeScript or JavaScript, including Node.js.
Experience deploying and operating containerized services, with familiarity with Kubernetes and Infrastructure as Code tools such as Terraform or Helm.
Track record of mentoring engineers and improving team practices, tooling, test coverage, or documentation.
Strong written and verbal communication skills and ability to work across disciplines in asynchronous, hybrid, or remote teams.
Experience with or interest in production use of LLM-assisted or agentic coding tools and appropriate guardrails.

The role supports hybrid or fully remote work in a remote-friendly environment.
Candidates are not expected to meet every listed qualification, and the company welcomes candidates with strong fundamentals who are eager to learn.

51-200 employees