Senior Backend Engineer

beqom

. Deliver features across multi-tenant data platform services, including data ingestion, schema management, effective dating, snapshots, calculated fields, and exports, exclusively through AI agents .

Posted 10/7/2026full-timeKrakow • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining multi-tenant data platform services with a focus on AI-driven development, including proficiency in .NET/C#, PostgreSQL, and agent infrastructure. Strong capabilities in writing precise Product Requirement Prompts and managing complex verification engineering processes.

Highest-signal resume keywords

AI Coding Agents MasteryProduction Backend Services DevelopmentVerification Engineering ExperienceMulti-Tenant SaaS ArchitectureAgent Infrastructure Building

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

.NETC#PostgreSQLAI Coding AgentsBehavioural TestingScenario-Based TestingQuality GatesSchema DesignStreamingMemory Behaviour

Soft Skills

Excellent Written Communication

Tools & Technologies

AzureDockerKubernetesHelmMCP ServersCI/CD

Industry Keywords

Multi-Tenant ArchitectureCDCEvent-Driven IngestionDigital TwinsService VirtualisationCompliance Frameworks

Tech Stack

Tools & technologies

AzureDockerKubernetesPostgresSQL.NET

About the role

Key responsibilities & impact

Deliver features across multi-tenant data platform services, including data ingestion, schema management, effective dating, snapshots, calculated fields, and exports, exclusively through AI agents
Author structured, testable Product Requirement Prompts and specification files
Maintain the versioned specification library governing the codebase
Run multiple agents in parallel across workstreams and evaluate outcomes against specifications
Improve agent first-pass success rate, defect escape rate, and the share of changes merged without human review
Build and maintain the agentic pipeline, including the agent harness, blueprint engine, MCP tool layer, warm sandbox pool, and retrieval systems
Monitor token usage, task latency, and cost per pipeline run; manage model-tier routing and cost-per-outcome gating
Embed audit trails, feature ownership, and data-classification gates into the pipeline
Engineer external behavioural scenario suites, holdout sets, digital twins, layered AI-review gates, and automated remediation
Enforce performance constraints for bulk ingestion, large export streaming, memory behaviour, and complex SQL using scenario and load gates
Diagnose and resolve production data issues through agents in collaboration with Support and Engineering
Document specifications, scenarios, and pipeline decisions and help other engineers adopt agent-driven development

Requirements

What you’ll need

Demonstrated senior-level experience building production backend services, including .NET/C# and PostgreSQL systems
Majority of recent production output should be AI-generated under the candidate's direction
Hands-on mastery of AI coding agents, with Claude Code strongly preferred
Experience with parallel agent sessions, custom skills, and sub-agents
Ability to structure codebases and context so agents work reliably
Excellence in writing precise, agent-executable Product Requirement Prompts (PRPs) and spec files
Strong verification engineering experience, including behavioural and scenario-based testing, holdout evaluation, quality gates, and validation frameworks
Strong architecture judgment covering performance, scalability, and reliability
Experience building agent infrastructure, including MCP servers, tool layers, sandboxed execution, and CI/CD adapted for agent-driven workflows
Deep .NET/C# and SQL reading fluency, including schema design, query plans, streaming versus buffering, and memory behaviour
Excellent written communication
Experience with digital twins or service virtualisations of external systems (bonus)
Experience with LLM evaluation at scale, red-teaming AI-generated code, or benchmarking agent workflows (bonus)
Multi-tenant SaaS architecture, CDC/event-driven ingestion, or lakehouse experience (bonus)
Experience with Azure, Docker, Kubernetes/Helm (bonus)
Experience with legal, security, or compliance frameworks for AI-authored code (bonus)
Familiarity with compensation, HR, or pay transparency domains (bonus)

Benefits

Comp & perks

Dynamic, autonomous environment
Opportunity to drive meaningful change and build a fairer future for every employee
Collaboration with a passionate, diverse, and talented team around the globe