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Senior Fullstack Engineer
AnomalySenior Fullstack Engineer building tools for healthcare providers against insurance giants. Collaborate closely with Data Scientists and Front-end Engineers to develop impactful integrations and systems.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building integrations with healthcare and financial systems, focusing on high-throughput, low-latency systems and reliable data pipelines. Proficient in developing APIs that connect data science outputs to impactful products while ensuring data quality and observability.
Highest-signal resume keywords
Python ProgrammingJava ProgrammingScala ProgrammingAPI DevelopmentData Pipeline Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringTestable CodeMaintainable CodeSQLSparkAirflowMachine Learning ProductsHigh-Volume SystemsLow-Latency SystemsData Quality
Soft Skills
Pragmatic MindsetCuriositySolution-Oriented
Industry Keywords
Healthcare SystemsFinancial SystemsData IngestionObservabilityGenAI Features
Tech Stack
Tools & technologiesAirflowJavaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Build integrations with healthcare and financial systems
- Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality
- Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails
- Design high-throughput, low-latency systems where performance is a mission-critical requirement
- Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product
Requirements
What you’ll need- 5+ years of professional software engineering experience
- Ability to write idiomatic, testable, and maintainable code in Python, Java, or Scala
- A "hacker mindset" — pragmatic, curious, and solution-oriented
- Experience building reliable data and ML pipelines using SQL, Spark, or Airflow (Nice to have)
- Experience building and deploying online machine learning products (Nice to have)
- Experience developing high-volume, low-latency APIs (Nice to have)
Benefits
Comp & perks- Competitive salaries
- Meaningful equity
- Benefits designed to support our team