Senior Backend Software Engineer - Kalepa for IT

Kalepa builds AI systems for insurers. The Senior Backend Software Engineer will own and deliver complex backend systems, APIs, integrations, and data pipelines that support customer workflows and high-stakes insurance decisions.

Responsibilities:

• Lead the scoping, design, and delivery of complex backend systems in Python on AWS: services, data models, and asynchronous pipelines
• Build and scale LLM-based systems that process large volumes of unstructured documents and data with precision and explainability
• Design external-facing APIs and integrations with third-party systems that customers depend on
• Own database and query performance as data volume grows; proactively manage technical debt
• Contribute to architectural discussions and decisions across the entire product, and iterate with teams to modify and prioritize within the development effort
• Accurately estimate your work, consistently meet deadlines, and help others estimate theirs
• Take a leading role in incident and bug resolution; be the strong debugger others turn to
• Lead the adoption of best practices for development, testing, and deployment
• Mentor other engineers through code review, pairing, and design feedback
• Use AI tooling deliberately to multiply your own output and quality

Requirements:

• 5+ years of software engineering experience building and operating backend systems in production
• Know Python (our main stack), though we're open to strong candidates from other OO backgrounds
• Experience with AWS and serverless technologies (Lambda, Step Functions), asynchronous workflows, and cloud environments
• Strong knowledge of relational databases and their performance tuning, ideally PostgreSQL
• Mastery of software development fundamentals: system design, debugging, testing, and problem-solving
• Experience building external-facing APIs or designing integrations with third-party systems
• You take full ownership of your work and drive projects to completion with minimal oversight
• You communicate proactively: surfacing blockers, asking the right questions, keeping stakeholders in the loop
• You thrive on experimentation: comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before
• You're excited by problems others are struggling with
• Experience working with LLMs in production and an understanding of what it takes to deploy them at scale
• Experience with document pipelines and processing large amounts of data
• Experience with distributed systems
• Experience in insurance, fintech, or another data-heavy regulated domain