Software Engineer IV, Datastore

• Lead design and architecture for complex projects and systems within the Datastore

• Weigh implementation trade-offs using engineering principles and data

• Partner with product managers, scientific and clinical stakeholders, and development and support teams

• Translate requirements into integrations, services, and scalable data-platform solutions

• Contribute to broader product and technical decisions

• Debug and profile ambiguous problems across system boundaries and improve structure, test coverage, and tooling

• Implement features with high standards for data integrity, design soundness, and maintainability

• Draft RFCs and lead complex feature discovery and technical design phases

• Plan individual and team work while balancing speed, generalizability, and technical debt

• Teach and mentor engineers and provide actionable feedback

• Potentially act as project technical lead or engineering-practice coordination point

• Improve Datastore operational robustness and ease of use through documentation, tools, and dashboards

• Own pipelines that deliver dataset snapshots into the data warehouse

• Collaborate across platform, application, and scientific teams to implement APIs for clinical studies and digital health products

Requirements

• 7+ years of backend development experience, including at least 3 years focused on data platforms and backend infrastructure for data-centric applications

• Highly proficient in at least one of: data modeling, distributed systems, API design, or database engineering

• Strong proficiency in SQL and production experience with PostgreSQL as an application database

• Hands-on experience with data streaming and event processing using Kafka or an equivalent such as RabbitMQ, Pulsar, Amazon Kinesis, or another cloud-based equivalent

• Proficiency in Julia or Python; Julia experience is a strong plus but not required

• Experience with GraphQL and TypeScript/JavaScript (Node.js)

• Experience deploying and operating services in containerized environments

• Familiarity with Kubernetes and Infrastructure as Code tools such as Terraform and/or Helm

• Track record of mentoring engineers and improving team practices, tooling, test coverage, or documentation

• Collaborative mindset and ability to work across disciplines

• Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments

• Self-directed approach and experience thriving in hybrid or fully remote teams

• Experience with, or interest in, LLM-assisted or agentic coding tools in production, with sound judgment about guardrails

Core Competencies

Demonstrates expertise in backend development with a focus on data platforms, API design, and database engineering. Proven ability to lead technical design phases, mentor engineers, and improve operational robustness through effective collaboration and documentation.

Highest-signal resume keywords

• Backend Development Experience

• Data Modeling

• SQL Proficiency

• API Design

• Mentoring Engineers

Hard Skills

• Data Modeling

• Distributed Systems

• API Design

• Database Engineering

• SQL

• PostgreSQL

• Data Streaming

• Event Processing

• Julia

• Python

Soft Skills

• Collaborative Mindset

• Excellent Communication Skills

• Self-Directed Approach

Industry Keywords

• Data Platforms

• Backend Infrastructure

• Data-Centric Applications

• Containerized Environments

• LLM-Assisted Coding Tools

Tools & Technologies

• Kafka

• RabbitMQ

• Pulsar

• Amazon Kinesis

• GraphQL

• TypeScript

• JavaScript

• Node.js

• Kubernetes

• Terraform