Senior Back End Engineer

Join beqom — where tech meets impact

beqom is a high-growth B2B SaaS company that provides industry-leading tools for pay equity and transparency, compensation, and performance management.

Trusted by some of the world’s most respected companies, beqom enables HR and business leaders to navigate global compliance and make smarter pay decisions that attract, retain, and motivate top talent.

Founded in Switzerland and serving clients worldwide, our powerful, enterprise-ready products are fuelled by beqom pay intelligence.

Role Overview

As part of the beqom engineering team, you will contribute to software that supports pay fairness for employees around the world — while bringing your technical skills to make it scalable, performant, and high-quality.

Your mission will be to build, enhance, debug, and maintain the back end of the beqom SaaS application, used by 100+ customers globally. You’ll work in an agile, iterative environment, mentoring other engineers and helping raise the bar on testing, automation, and code quality across the team.

This role is for someone who brings both strong engineering fundamentals and genuine comfort with statistical and analytical work — someone who doesn’t just check whether the code runs, but whether the output is actually correct.

What you'll be doing

• Build new back-end features, services, and APIs, and improve existing ones.
• Analyse and understand functional and technical requirements, collaborating with internal and external teams as needed.
• Work on statistical and analytical features end-to-end — implementation, testing, and verification that the output is correct.
• Review pull requests from other engineers, including code produced with AI assistance.
• Maintain applications and perform code and infrastructure upgrades.
• Handle data migrations, backfilling, and large dataset operations with care.
• Collaborate with frontend developers, product managers, the Tech Lead, and other stakeholders to deliver integrated solutions.
• Mentor and coach other Software Engineers, helping them discover new technologies and improve their development practices.
• Troubleshoot issues reported by users and provide timely resolutions.
• Use AI coding tools in your daily workflow, and help the team improve how we use them.
• Contribute ideas and prototypes for AI-powered product features.
• Share knowledge and contribute to a positive, collaborative team culture.

Skills & Experience

What you'll bring

Technical

• Demonstrated senior-level expertise in Software Engineering with proven back-end experience.
• Strong Python fundamentals — you understand the language deeply, not just one framework on top of it.
• Hands-on experience with Django (our primary framework).
• Strong experience with relational databases (PostgreSQL or similar), including query optimisation and migrations.
• Experience designing and building REST APIs at scale.
• Solid testing practice — unit and integration — with a real care for correctness on numerical and analytical code.

Domain

• Comfortable around applied statistics — you don't need to be a data scientist, but you shouldn't be intimidated by a codebase that uses regressions, distributions, and p-values.
• Analytical execution — you'll partner with domain experts to implement new statistical models and maintain our existing analytical engine, figuring out how the pieces connect and using your intuition to catch when an output feels subtly wrong.

AI mindset

• An active, opinionated user of AI coding assistants — Claude Code, Cursor, Copilot, or similar — in your daily work.
• Genuine curiosity about how AI can be embedded into user-facing products, beyond developer tooling.

Ways of working

• Fluent in English, written and spoken; additional languages are a plus.
• Strong communicator and collaborative team player.
• Proactive, open-minded, and comfortable taking ownership of the projects you work on.

Bonus points if you have

• Experience with Java.
• Experience with data pipelines, ETL, or large-scale data processing.
• Experience with statistical or scientific Python libraries (NumPy, pandas, scipy, statsmodels).
• Experience building or integrating AI-powered features — LLM APIs, embeddings, prompt design, agent workflows, or MCP.
• Experience with WebSockets or event-driven architectures.
• Knowledge of security and compliance (GDPR, SOC2) — compensation data is sensitive.

Don’t meet every single requirement? We still highly encourage you to apply. We value diverse backgrounds and look for potential over a perfect match.

Why join us?

• Your career, your design. Unleash your ambition in our dynamic, autonomous environment.
• Drive meaningful change. Build a fairer future for every employee by joining a market leader that is improving the world of work.
• Belong to something bigger. Collaborate with a passionate, diverse and talented team around the globe.