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Senior Backend Engineer – Submission Processing Team

Kalepa

Full-time
USA
$170k-$210k per year
processing
engineer
devops
python
aws
Apply for this position

About the role:

Salary range: $170k – $210k USD*

We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As part of the Submission Processing team, you will work at the intersection of AI and backend engineering - this is core R&D work, not routine development. Your day-to-day will involve building LLM-based solutions that process millions of insurance documents at scale, extracting precise information about companies and synthesizing it into a complete picture of the insured. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition.

You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business.

You'll be right at home if you:

  • Have 5+ years of software engineering experience with deep Python expertise.

  • Embody hustle and grit, you're excellent at your craft and relentless in pursuing it.

  • Take full ownership of your work and drive projects to completion with minimal oversight.

  • Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop.

  • Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before.

  • Have strong fundamentals in system design, debugging, and problem-solving.

  • Have worked with LLMs in production and understand what it takes to deploy them at scale.

  • Are fluent with coding agents and AI-assisted development - you don't just tolerate AI tools, you actively push their boundaries.

  • Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments.

  • Are comfortable with relational databases, ideally PostgreSQL.

  • Are excited by R&D and want to solve problems others are still struggling with.

What you’ll get:

  • Competitive salary (based on experience level).

  • Significant equity options package.

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

  • Excellent benefits: 100% covered medical, 100% covered vision and dental, and others.

  • Work with an ambitious, smart, global, and fun team to transform a $1T global industry.

  • 20 days of PTO a year.

  • Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon)

  • Healthy living/gym stipend. Mobile phone bill stipend.

  • Continuing education credits.

*The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range. 

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About the job

Full-time
USA
Senior Level
$170k-$210k per year
Posted 9 hours ago
processing
engineer
devops
python
aws

Apply for this position

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Senior Backend Engineer – Submission Processing Team

Kalepa

About the role:

Salary range: $170k – $210k USD*

We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As part of the Submission Processing team, you will work at the intersection of AI and backend engineering - this is core R&D work, not routine development. Your day-to-day will involve building LLM-based solutions that process millions of insurance documents at scale, extracting precise information about companies and synthesizing it into a complete picture of the insured. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition.

You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business.

You'll be right at home if you:

  • Have 5+ years of software engineering experience with deep Python expertise.

  • Embody hustle and grit, you're excellent at your craft and relentless in pursuing it.

  • Take full ownership of your work and drive projects to completion with minimal oversight.

  • Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop.

  • Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before.

  • Have strong fundamentals in system design, debugging, and problem-solving.

  • Have worked with LLMs in production and understand what it takes to deploy them at scale.

  • Are fluent with coding agents and AI-assisted development - you don't just tolerate AI tools, you actively push their boundaries.

  • Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments.

  • Are comfortable with relational databases, ideally PostgreSQL.

  • Are excited by R&D and want to solve problems others are still struggling with.

What you’ll get:

  • Competitive salary (based on experience level).

  • Significant equity options package.

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

  • Excellent benefits: 100% covered medical, 100% covered vision and dental, and others.

  • Work with an ambitious, smart, global, and fun team to transform a $1T global industry.

  • 20 days of PTO a year.

  • Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon)

  • Healthy living/gym stipend. Mobile phone bill stipend.

  • Continuing education credits.

*The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range. 

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