Backend Engineer

Kalepa

. Own backend services, data and ML pipelines, and the infrastructure behind Kalepa’s product used by commercial insurance underwriters .

Posted 9/23/2026full-timeRemoteMid-LevelSenior💰 $80,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping production systems, with strong skills in Python, relational databases, and AWS. Capable of designing data-driven microservices and collaborating effectively in a fast-paced AI environment.

Highest-signal resume keywords

Python ProgrammingRelational Database ManagementAWS ServicesMicroservices ArchitectureProduction System Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDebuggingProblem SolvingData ProcessingMachine Learning Fundamentals

Soft Skills

OwnershipCuriosityAdaptabilityAppreciation for FeedbackComfort with Ambiguity

Tools & Technologies

PostgreSQLEC2LambdaRESTful APIs

Industry Keywords

Commercial InsuranceAI StartupData PipelinesStructured DataUnstructured Data

Tech Stack

Tools & technologies

AWSEC2MicroservicesPostgresPython

About the role

Key responsibilities & impact

Own backend services, data and ML pipelines, and the infrastructure behind Kalepa’s product 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 systems end to end
Collaborate with full-stack, backend, ML, and platform engineers
Shape how production systems are designed, built, tested, and operated at scale
Contribute to core systems at a fast-growing AI startup

Requirements

What you’ll need

3+ years of professional software engineering experience building and shipping production systems
Excellent development skills including design, debugging, and problem solving
Strong in Python, with solid fundamentals in at least one other language
Experience with relational databases, with a preference for PostgreSQL
Experience with AWS and asynchronous or serverless workflows (EC2, Lambda, etc.)
Ability to design and build data-driven microservices leveraging RESTful APIs
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
Ownership and comfort working with ambiguity
Ability to move fast, learn quickly, and value 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
20 days of PTO a year
Gym, phone, and learning stipend reimbursement