Senior Backend Software Engineer - Kalepa for Operations

Accountabilities

• Lead the scoping, architecture, design, and delivery of complex backend systems using Python and AWS, including scalable services, data models, and asynchronous processing pipelines.

• Build, deploy, and optimize LLM-powered systems capable of processing large volumes of unstructured documents and data while maintaining high standards of precision, reliability, and explainability.

• Design, develop, and maintain external-facing APIs and integrations with third-party platforms that support critical customer workflows.

• Own database architecture, query performance, and data scalability, proactively identifying optimization opportunities and managing technical debt.

• Contribute to architectural discussions and technical decisions across the broader product ecosystem, helping establish scalable and maintainable engineering solutions.

• Collaborate with cross-functional engineering teams to refine requirements, prioritize initiatives, and continuously improve development processes.

• Provide accurate project estimates, manage delivery timelines, and support other engineers in planning and estimating technical work.

• Take a leading role in incident management, debugging, and production issue resolution, serving as a technical resource for complex engineering challenges.

• Establish and promote best practices across software development, testing, deployment, and production operations.

• Mentor and support other engineers through code reviews, technical pairing, architectural feedback, and knowledge sharing.

• Leverage AI-powered development tools thoughtfully to improve engineering productivity, code quality, and overall delivery efficiency.

• Contribute to the development and continuous improvement of evaluation frameworks that measure and optimize the accuracy and performance of AI-driven operational workflows.

Requirements:

• At least 5 years of professional software engineering experience building, deploying, and maintaining backend systems in production environments.

• Strong proficiency in Python, the primary technology within the engineering stack, although candidates with substantial experience in other object-oriented programming languages will also be considered.

• Hands-on experience with AWS, serverless technologies such as Lambda and Step Functions, asynchronous workflows, and cloud-based infrastructure.

• Strong knowledge of relational databases, including database design, query optimization, and performance tuning, ideally with PostgreSQL.

• Excellent understanding of software engineering fundamentals, including system design, debugging, testing methodologies, and structured problem-solving.

• Demonstrated experience designing and developing external-facing APIs and integrating third-party systems.

• Proven ability to take full ownership of complex technical projects and deliver results independently with minimal supervision.

• Strong communication skills, including the ability to proactively identify blockers, ask relevant questions, communicate progress, and keep stakeholders informed.

• An experimental and iterative mindset, with the ability to test new approaches, evaluate results, and solve technically challenging problems in ambiguous environments.

• High standards of engineering quality, accountability, and attention to detail, combined with a genuine interest in tackling complex problems.

Additional assets:

• Previous experience building, deploying, and operating large-scale LLM-powered applications in production.

• Familiarity with document-processing pipelines and systems handling large volumes of unstructured data.

• Experience designing and maintaining distributed systems.

• Background in insurance, fintech, or other data-intensive and regulated industries.

• Experience developing AI evaluation frameworks and optimizing the accuracy, reliability, and performance of intelligent systems.

Benefits:

• Competitive annual salary based on experience and geographical location:

  • Zone 1: $213,000–$246,000 USD for candidates based in New York and San Francisco.

  • Zone 2: $192,000–$246,000 USD for candidates in other locations across the United States and Canada.

  • Significant equity options package, offering the opportunity to participate in the company's growth.

  • 20 days of paid time off annually.

  • 100% employer-covered medical, dental, and vision insurance for employees and their families (US employees).

  • 401(k) retirement plan with employer contributions, regardless of employee contribution (US employees).

  • Healthy living and gym membership stipend.

  • Mobile phone bill stipend.

  • Continuing education credits and opportunities for professional development.

  • International team offsites and opportunities to connect with colleagues globally.

  • Remote-first working environment, with team members based across the United States, Canada, and Europe.

  • Opportunities to work on advanced AI technologies and strategically important engineering infrastructure.

  • High levels of technical ownership, autonomy, and opportunities to influence product and architectural decisions.