US or Canada

Senior Backend Software Engineer - Kalepa for Operations

USD 213K–246K / yearSeniorBackend engineering

PythonAWSLLMPostgreSQLUnderwritingCustomer success

Original posting ↗Apply ↗Company job board ↗Follow new Python jobs in Telegram

Kalepa, a software company in banking, insurance and finance, is hiring for the role of Senior Backend Software Engineer - Kalepa for Operations. The posting gives Canada and United States as the location. We classify it as a senior-level role in backend engineering. The posting names AWS, LLM, PostgreSQL and Python. Candidates need 5+ years of experience. Perks named in the posting: equity. Kalepa has no other open position on this site right now.

Posted 1 day ago · Last checked 2026-10-30

About Kalepa

Banking, insurance and finance Software product company 1 open position, 100% in IT and engineering. Most open roles: Backend engineering (1).

All open jobs at Kalepa →

Similar jobs

Full Stack Engineer (Backend Focus)Commons · Commons HQ & Remote | Canada | Mexico | United StatesUSD 150K–200K / year Senior/Staff Backend Software Engineer - Data PlatformGridCARE · Redwood CityUSD 184K–284K / year Senior Software Engineer, Backend (Coinbase One)Coinbase · Remote - USARemote Backend Engineer — Integrations (Senior/Staff)Revin · New York CityUSD 225K–325K / year Backend Engineer, Source Code: Repository Services (Ruby) GitLab · Remote, CanadaRemote Backend Engineer, Profile & CommunityAirbnb · United StatesUSD 162K–186K / year Principal Software Developer, Backend PlatformMaintainX · San FranciscoUSD 175K–225K / year Senior Software Engineer III, BackendConnexity | Skimlinks, a Taboola company · Los Angeles, California, United StatesUSD 175K–200K / year

72 open backend engineering jobs in Canada All open jobs at Kalepa →

Workplace	Workplace not stated
Seniority	Senior
Role	Backend engineering
Countries	Canada, United States
Languages	Python
Key facts	Stack: Python, AWS, LLM, PostgreSQL · Experience: 5+ years · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data