Senior Backend Engineer

Stack

Responsibilities

• ▹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
• ▹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
• ▹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

Requirements

• ▹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

Nice to 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

Soft skills

About the company

beqom is a high-growth B2B SaaS company providing tools for pay equity and transparency, compensation and performance management. Founded in Switzerland, it serves clients worldwide.