beqom
Senior Backend Engineer

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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
We are looking for a Senior Backend Engineer to join our Data Platform Core team, which owns the services at the heart of beqom’s data architecture — multi-tenant data ingestion, schema management, snapshots, calculated fields, and the data contracts powering analytics and reporting across the product.
You will collaborate closely with Data Platform and Analytics engineers, Support teams, and Product stakeholders. We are an AI-first engineering team — Claude Code, agent orchestration, and automated review workflows are how we build by default, and we expect you to help push that practice further.
What you'll be doing
Feature Development
- Design and build features across multi-tenant data platform services: data ingestion, schema management, effective dating, snapshots, calculated fields, and exports.
- Work hands-on with .NET 8/C#, PostgreSQL, EF Core, Dapper, MediatR (CQRS), and RabbitMQ (MassTransit) event-driven workflows.
- Optimise performance-critical paths: bulk ingestion, large data exports, memory-efficient streaming, and complex SQL.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Agentic Development
- Deliver most of your output through AI agents: decompose features into well-structured specifications, run parallel agent sessions, and review outcomes critically before they ship.
- Build and maintain the team’s agentic tooling: custom Claude Code skills and sub-agents, MCP tools exposing internal APIs, prompt/context conventions (CLAUDE.md), and automated review pipelines.
- Design the verification that makes agent speed safe: test strategy, quality gates, and evals that catch hallucinated APIs, subtle logic errors, and performance regressions in generated code.
Quality & Collaboration
- Investigate and resolve production data issues in collaboration with Support and Engineering.
- Maintain strong test coverage: unit and integration tests.
- Improve observability (OpenTelemetry) and operational stability.
- Document architecture decisions and write clear, actionable PRs and commit messages.
- Mentor other engineers — in backend craft and in effective agent-driven development — and raise the bar in code reviews.
Skills & Experience
What you'll bring
- Demonstrated senior-level experience building production backend services with .NET/C#.
- Strong SQL and PostgreSQL skills: schema design and query optimisation.
- Proven performance and memory awareness — streaming vs. buffering, profiling and load-testing skills — and the ability to judge whether AI-generated solutions meet performance and scalability needs.
- Track record of shipping features that are complete and stable, backed by strong test discipline.
- Experience with multi-tenant SaaS architectures.
- Deep, daily experience with AI-driven development — Claude Code strongly preferred — including multi-agent orchestration, building custom skills and sub-agents, and structuring codebases and context for effective agent work.
- Experience turning requirements into precise, agent-executable specifications, and reviewing AI output at the feature level: spotting hallucinations, architectural drift, and security issues.
- Excellent written communication: design docs, specifications, PR descriptions, and commit history that both humans and agents can act on.


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Bonus points if you have
- Experience building MCP servers or exposing internal APIs as agent-callable tools.
- Experience with LLM evaluation: eval suites, behavioural test design, or benchmarking agent workflows.
- Functional programming in C# (LanguageExt — Either/Option patterns).
- CDC/event-driven ingestion (Debezium, Kafka) or lakehouse exposure (Microsoft Fabric).
- Azure services, Docker, Kubernetes/Helm.
- Familiarity with compensation, HR, or pay transparency domains.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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