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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong software engineering capabilities with a focus on building and shipping production systems, particularly in backend services and data pipelines. Proficient in Python and possesses a solid understanding of machine learning applications in commercial insurance.
Highest-signal resume keywords
Python ProgrammingSoftware Engineering ExperienceData Pipeline DevelopmentMachine Learning KnowledgeProduction System Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData ProcessingBackend DevelopmentMachine Learning PipelinesSystem DesignProduction SystemsStructured Data HandlingUnstructured Data HandlingFeature OwnershipCollaboration
Soft Skills
CuriosityOwnershipAdaptabilityFeedback AppreciationTransparency
Certifications & Qualifications
Degree in Computer ScienceDegree in MathematicsDegree in Engineering
Industry Keywords
Commercial InsuranceData PipelinesMachine LearningProduction SystemsSoftware Development
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Contribute to backend services, data pipelines, and ML pipelines supporting products used by commercial insurance underwriters
- Build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data
- Work with documents, third-party sources, and model outputs
- Own features end to end
- Collaborate with full-stack, backend, ML, and platform engineers
- Contribute to designing, building, testing, and operating production systems at scale
Requirements
What you’ll need- Approximately 1 year of professional software engineering experience building and shipping production systems
- Strong fundamentals in at least one programming language
- Knowledge of Python
- Degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience
- Curiosity about AI, data, and real-world applications of machine learning
- Ability to take ownership and work with ambiguity
- Ability to move fast, learn quickly, and maintain high standards
- Appreciation for direct feedback, meritocracy, and transparency
Benefits
Comp & perks- Significant equity options package
- Fully remote work from Europe
- Onsite team events in Warsaw and global team offsites
- Real responsibility and production impact from day one
- Mentorship from senior engineers
- 20 days of PTO a year
- Gym, phone, and learning stipend reimbursement
