• We’re looking for strong backend engineers who love building reliable systems around fragmented, but high-value data. As part of the Core Backend team, you’ll work on the systems at the center of Kalepa: designing services, data models, pipelines, and evaluation loops. The goal is not just cleaner data, but an intelligence layer that makes better, faster, and more explainable decisions.
• You’ll join a high-ownership team responsible for some of Kalepa’s most business-critical infrastructure. Your work will make our data more complete, our decisions more transparent, and our products even more valuable.
• You'll be right at home if you:
• Have 8+ years of software engineering experience.
• 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.
• Know Python (our main stack), though we're open to strong candidates from other OO backgrounds.
• Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments.
• Are comfortable with relational databases, ideally PostgreSQL.
• Bonus: experience with LLMs/generative AI, distributed systems.
• What you’ll get:
• What you’ll get:
• Competitive salary (based on experience level)*.
• Work with an ambitious, smart, global, and fun team to transform a $7T global industry.
• 20 days of PTO a year.
• Global team offsites.
• 100% covered PPO medical, 100% covered vision and dental for individuals and families.
• Healthy living/gym stipend. Mobile phone bill stipend.
• Continuing education credits.
• 401(k) plan with employer contribution (regardless of employee contribution)
• 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.