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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend software design and development, with a strong focus on building scalable systems and data integrations. Proficient in Python and SQL, with experience in cloud platforms and containerization technologies, while fostering collaboration and mentoring within cross-functional teams.
Highest-signal resume keywords
Backend Software DevelopmentPython ProficiencySQL ProficiencyContainerization with Docker and KubernetesInfrastructure as Code on Cloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Software DevelopmentPython ProficiencySQL ProficiencyDistributed SystemsData Pipeline DevelopmentData Quality ValidationSoftware Architecture LeadershipClean Code PracticesAnalytical Data ModelingAccess Control Implementation
Soft Skills
Excellent Communication SkillsCollaborationMentoringTeam Growth FacilitationCross-Functional Teamwork
Tools & Technologies
DockerKubernetesAzureGoogle CloudApache ParquetApache IcebergFlyteAirflowAI ToolsReal World Data Workflows
Industry Keywords
Life SciencesReal World DataFDA-Regulated EnvironmentData CurationData Integration
Tech Stack
Tools & technologiesAirflowApacheAzureCloudDistributed SystemsDockerKubernetesPythonSQL
About the role
Key responsibilities & impact- Lead the design, development, and operation of maintainable, scalable, and reliable backend software
- Build system and data integrations connecting commercial products and external providers with analytical platforms
- Enable feedback loops that accelerate research and product development
- Work with TPMs and SMEs to understand business needs and translate product requirements into technical strategy and incremental execution
- Partner with the Real World Data team to evolve its technology stack and identify workflow bottlenecks
- Build reusable tools for data curation and analysis
- Use AI tools to scale engineering and Real World Data workflows, automate manual operations, reduce data curation efforts, and improve data quality
- Evaluate technologies, frameworks, and data providers through focused proofs of concept
- Lead code and design reviews and champion engineering best practices
- Promote a culture of quality and collaboration
- Contribute to hiring and mentoring new team members
- Foster team growth and enhance technical knowledge and productivity
- Partner with product managers, clinical data analysts, informaticists, researchers, and external vendors
- Report to the Director of Engineering, Platform
Requirements
What you’ll need- Bachelor of Science in Computer Science, Engineering, or related field or equivalent work experience
- 10+ years as a software engineer successfully shipping software in production, preferably in backend or platform teams
- 2+ years as a lead developer
- Proficiency in Python and SQL
- Ability to build and operate distributed systems using Infrastructure as Code on public cloud platforms, preferably Azure or Google Cloud
- Expertise developing and running containerized software, preferably using Docker and Kubernetes
- Track record of building and operating data pipelines and integrations, including ingestion, database replication, analytical data modeling, or data quality validation
- Experience building systems that process and store sensitive data such as PHI, implementing access controls, audit logging, and secure data handling
- Software architecture leadership, including clean code, design documents and ADRs, constructive reviews, and collaborative technical decisions
- Excellent written and verbal communication skills
- Ability to thrive in cross-functional, collaborative environments
- Domain-specific experience or academic background in life sciences, real world data, or related fields (nice to have)
- Experience working in an FDA-regulated environment (nice to have)
- Experience with Apache Parquet (nice to have)
- Experience with open lakehouse technologies and Apache Iceberg (nice to have)
- Experience with Flyte, Airflow, or similar workflow orchestration frameworks (nice to have)
- Experience with scientific Python frameworks and data-science tools (nice to have)
Benefits
Comp & perks- Equity
- Cash bonuses
- Full range of medical benefits
- Financial benefits
- Other benefits depending on the position offered
- Remote work within the US
- Occasional travel to headquarters only 2–3 times a year