Agentic Software Engineer

Role Overview
You will lead a small, high-output agentic engineering pod delivering large-scale application migrations using Azure AI Foundry agents. Inspired by modern Harness Engineering patterns, your primary job is not writing code — it is designing the agent-driven SDLC workflow the scaffolding, orchestration, constraints, and feedback loops that allow agents to reliably analyse, design, migrate, and validate legacy systems.

You own the agent workflows, tool integrations, and migration playbooks, ensuring that agent-generated outputs are consistent, production-ready, and aligned to target architecture standards. You will define how agents operate across the migration lifecycle — from discovery and planning through to implementation, testing, and release.

You are a player-coach
70% building agent workflows, harness, and platform integrations
30% guiding engineers and ensuring delivery outcomes

Strong experience on .NET & C#, Java or Python is essential.

Key Responsibilities

Design and implement agent-driven SDLC workflows on Azure AI Foundry for application and cloud migration

Configure and orchestrate agents (analysis, planning, coding, validation) to execute migration tasks end-to-end

Implement domain, application, infrastructure, and integration code as required to support migration outcomes

Build adapters and integration layers (ACLs) to bridge legacy and target architectures

Migrate business rules, validations, and workflows from legacy systems to modern platforms

Identify and fix parity gaps between source and target systems

Support production readiness and defect resolution post-migration

Integrate agents with engineering tools (repositories, build/test pipelines, APIs, cloud services)
You Bring

8–12 years of software engineering experience; 2+ years leading delivery teams

Strong hands-on experience with modern application architectures

Experience in application and/or cloud migration (e.g., legacy to modern, AWS to Azure)

Experience working with CI/CD pipelines, DevOps practices, and automated testing (unit/integration)

Strong understanding of brownfield transformation challenges and patterns

Experience with Azure services (Functions, APIs, storage, integration services)

Ability to work in agent-assisted or AI-augmented development environments