Sr Lead Software Engineer

Key Responsibilities of the Role

• Design and build AI-augmented migration tooling using Claude Code and Copilot that automates discovery code transformation containerisation and validation across compute platforms.
• Engineer agentic workflows that analyse legacy workloads generate migration artefacts (Dockerfiles Helm/Kubernetes manifests CI/CD pipeline definitions) and produce reviewable pull requests against real codebases.
• Build the guardrails: automated validation rollback and continuous verification so AI-generated migration changes are safe to ship at scale.
• Establish reusable patterns prompts evals and reference implementations that let the rest of the migration org apply these tools consistently and reliably.
• Partner closely with the platform engineering teams that build and operate GKP GCS Gaia VSI and the container golden path so the tooling targets the correct end state.
• Work directly with the migration execution and enablement teams to understand real blockers then encode the solutions into tooling rather than one-off fixes.
• Measure and improve the quality cost and throughput of AI-driven migration treating model output quality and human-review load as engineering metrics to optimise.
• Contribute to the firms practice for safe effective use of agentic coding tools on production codebases.

Attributes of Engineers in the Platform Migration group

• A builders bias: you ship tools that other engineers depend on and you measure success by migrations completed not demos given.
• Comfort at the frontier: you are energised not intimidated by fast-moving AI tooling and are willing to establish practice where none exists yet.
• Healthy scepticism: you trust automated output only as far as your validation proves it and you build the checks accordingly.
• Optimism and adaptability when faced with legacy complexity coupled with the drive to solve hard problems and continuously optimise.
• Respect for people and opinions and the confidence to offer your point of view.
• Dedication to continuous improvement of your own skillset and of the tools around you.
• A strong personal identification with the firms values.

Required qualifications capabilities and skills

• Strong software engineering fundamentals and hands-on delivery inPython Go or Java.
• Practical production-grade use of AI coding assistants -Claude Code GitHub Copilot or equivalent agentic tooling - to build and ship real software not just autocomplete.
• Building automation and tooling that operates on real codebases: code parsing/transformation templating and generating change as reviewable pull requests.
• Cloud-native platforms and their primitives:Kubernetes containers (Docker/OCI) and at least one of AWS GCP or Cloud Foundry / VCF.
• CI/CD and automated deployment pipelines.
• Designing validation and guardrails for automated change testing verification and safe rollback.
• End-to-end application infrastructure concerns such as authentication/authorization and systems integration.
• A consultative problem-solving approach and the ability to communicate technical concepts clearly.
• Excellent written and spoken communication skills.
• Bachelors degree in Computer Science Computer Engineering or a related field of study plus working experience in a role such as Software Engineer Application Developer or related occupation.

Preferred qualifications capabilities and skills

• Experience building on top of LLM APIs: agent frameworks tool/function calling retrieval and writingevalsto measure output quality.
• Prompt and context engineering as an applied discipline including cost/latency/quality trade-offs.
• Container build and supply-chain tooling: Dockerfiles buildpacks/Kaniko SBOM image signing hardened base images.
• Infrastructure-as-code tools such as HashiCorp Terraform.
• Static analysis AST-level code transformation or compiler/language-tooling experience.
• Migration or modernisation programmes at scale and proficiency managing large infrastructure deployments (compute container systems storage networking).
• Global financial services and regulatory / compliance considerations relevant to workload deployment.
• Database and messaging technologies such as MySQL Cassandra Kafka CockroachDB or Oracle.

Whats in it for you

Youll be building at the leading edge of AI-assisted software engineering on a problem with real scale and real impact - modernising the firms compute estate - where the tools you build are used every day by the teams migrating it. Besides being in a strong team we thrive on the challenge to be our best progressive thinking to keep growing and working together to deliver products that help our clients succeed.

• Hands-on daily work with frontier AI coding tools and a mandate to define how the firm uses them.
• Continued career advancement opportunities including industry-recognised certifications such as AWS and CKAD.
• Exposure to strong mentorship and leadership examples.
• Professional and technical development programs.
• Membership of a close-knit collaborative diverse team that encourages networking.