Senior Backend Software Engineer - Kalepa for IT

About the role

We're looking for strong backend engineers who love building reliable systems around fragmented, high-value data. Kalepa's platform ingests billions of highly unstructured data points every day, extracts precise information from them, and surfaces the insights insurers rely on for high-stakes decisions. As a Senior Backend Engineer, you'll own strategically important, complex pieces of that system with minimal oversight: the services, data models, pipelines, and evals at its center, and the external-facing APIs that power our customers' core workflows.

You'll work at the intersection of AI and backend engineering, on a problem the industry hasn't solved effectively yet. You'll join a high-ownership team responsible for some of Kalepa's most business-critical infrastructure, and you'll help the engineers around you do their best work.

Salary range

We differentiate our North America salary ranges using two geographical zones:

Zone 1 (New York and San Francisco) - $213,000 to $246,000*

Zone 2 (all other locations in the US and Canada) - $192,000 to $246,000*

Location

We are primarily a remote company with employees across the US, Canada, and Europe. Our HQ is in New York city.

About the team

This team is a mix of software engineers owning Kalepa’s IT integration platform (public APIs, control plane) and forward-deployed engineers who embed with clients to integrate atop Kalepa’s APIs. The team is tasked with ensuring Kalepa’s deployments are complete, high-quality, and conducive to self-service. The team will define clear criteria for deployment quality and build processes that raise that quality standard for every client. Where the codebase today limits extensibility, they plan and refactor for sustainability.

Ownership areas: Kalepa’s Public APIs and external docs; auth/SSO/permissions; control plane & admin tooling for configuring clients; adapters into external systems that build against Kalepa’s Public API.

What you'll do

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.

About you

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.

Bonus points for

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.

What you’ll get

Competitive salary (based on experience level)*.

Significant equity options package.

20 days of PTO a year.

Global team offsites (2024 - Lisbon, 2025 - Cartagena, 2026 - Tbilisi).

Healthy living/gym stipend.

Mobile phone bill stipend.

Continuing education credits.

For US employees only:

100% covered medical, 100% covered vision and dental for individuals and families.

401(k) plan with employer contribution (regardless of employee contribution)