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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining multi-tenant data platform services with a focus on AI-driven development, including strong capabilities in .NET/C#, PostgreSQL, and verification engineering. Proficient in authoring precise Product Requirement Prompts and managing agent-driven workflows to enhance performance and scalability.
Highest-signal resume keywords
AI Coding Agents MasteryProduct Requirement Prompts AuthoringVerification Engineering ExperienceMulti-Tenant SaaS ArchitectureDeep .NET/C# and SQL Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
.NETC#PostgreSQLAI Coding AgentsVerification EngineeringBehavioural TestingScenario-Based TestingSchema DesignQuality GatesCI/CD
Soft Skills
Excellent Written Communication
Tools & Technologies
MCP ServersDockerKubernetesHelmDigital Twins
Industry Keywords
Multi-Tenant Data PlatformAI-Generated CodePerformance ConstraintsCompliance FrameworksHR Domains
Tech Stack
Tools & technologiesAzureDockerKubernetesPostgresSQL.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
- Evaluate agent outcomes against specifications and improve first-pass success, defect escape, and no-human-review merge rates
- 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, cost per run, model-tier routing, and cost-per-outcome
- Embed governance through audit trails, named feature ownership, and data-classification gates
- 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
- Diagnose and resolve production data issues through agents in collaboration with Support and Engineering
- Document specifications, scenarios, and pipeline decisions
- Help other engineers adopt agent-driven development
Requirements
What you’ll need- Demonstrated senior-level experience building production backend services
- Experience with .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
- 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 and tool layers, sandboxed execution, and CI/CD 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 is a bonus
- Experience with LLM evaluation at scale is a bonus
- Multi-tenant SaaS architecture, CDC/event-driven ingestion, or lakehouse experience is a bonus
- Familiarity with Azure, Docker, Kubernetes/Helm is a bonus
- Experience with legal, security, or compliance frameworks for AI-authored code is a bonus
- Familiarity with compensation, HR, or pay transparency domains is a bonus
Benefits
Comp & perks- Dynamic, autonomous environment
- Opportunity to drive meaningful change in pay equity, transparency, compensation, and performance management
- Collaboration with a passionate, diverse, and talented global team