Staff Software Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the design, development, and maintenance of scalable, reliable backend software solutions.

• Create system and data integrations that link commercial products and external providers with analytical platforms.

• Facilitate feedback loops that expedite research and product development processes.

• Collaborate with Technical Program Managers (TPMs) and Subject Matter Experts (SMEs) to comprehend business requirements and convert product needs into a technical strategy and incremental execution plans.

• Work alongside the Real World Data team to advance its technology stack and pinpoint workflow bottlenecks.

• Develop reusable tools for data curation and analysis.

• Leverage AI tools to enhance engineering and Real World Data workflows, automate manual tasks, minimize data curation efforts, and elevate data quality.

• Assess technologies, frameworks, and data providers via targeted proofs of concept.

• Conduct code and design reviews and advocate for engineering best practices.

• Encourage a culture of quality and collaboration within the team.

• Participate in the recruitment and mentoring of new team members.

• Support team development and boost technical knowledge and productivity.

• Collaborate with product managers, clinical data analysts, informaticists, researchers, and external vendors.

• Report directly to the Director of Engineering, Platform.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.

• Over 10 years of experience as a software engineer with a proven track record of delivering software in production, preferably within backend or platform teams.

• At least 2 years of experience as a lead developer.

• Strong proficiency in Python and SQL.

• Experience building and managing distributed systems utilizing Infrastructure as Code on public cloud platforms, preferably Azure or Google Cloud.

• Expertise in developing and operating containerized applications, ideally using Docker and Kubernetes.

• Proven experience in building and maintaining data pipelines and integrations, including data ingestion, database replication, analytical data modeling, or data quality validation.

• Background in developing systems that handle sensitive data, such as PHI, including the implementation of access controls, audit logging, and secure data handling practices.

• Leadership in software architecture, including clean code practices, design documents, Architectural Decision Records (ADRs), constructive reviews, and collaborative technical decision-making.

• Exceptional written and verbal communication skills.

• Ability to succeed in cross-functional, collaborative environments.

• Domain-specific experience or academic background in life sciences, real-world data, or related fields is a plus.

• Experience in an FDA-regulated environment is also a plus.

• Familiarity with Apache Parquet is advantageous.

• Knowledge of open lakehouse technologies and Apache Iceberg is a plus.

• Experience with workflow orchestration frameworks such as Flyte, Airflow, or similar is desirable.

• Familiarity with scientific Python frameworks and data science tools is a plus.

🏝️ Benefits

• Equity participation.

• Cash bonuses.

• Comprehensive medical benefits.

• Financial benefits.

• Additional benefits based on the position offered.

• Remote work opportunities available within the US.

• Occasional travel to headquarters, approximately 2–3 times a year.