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Kalepa

Junior Backend Engineer

Kalepa

. Contribute to backend services, data pipelines, and ML pipelines supporting products used by commercial insurance underwriters .

Posted 9/23/2026full-timeRemoteJunior💰 $60,000 - $70,000 per yearWebsite

Core Competencies

Role fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
Python

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