Sr Lead Software Engineer

\n Key Responsibilities of the Role\n

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• Design and build AI-augmented migration tooling, using Claude Code and Copilot, that automates discovery, code transformation, containerisation, and validation across compute platforms.
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• 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.
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• Build the guardrails: automated validation, rollback, and continuous verification so AI-generated migration changes are safe to ship at scale.
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• Establish reusable patterns, prompts, evals, and reference implementations that let the rest of the migration org apply these tools consistently and reliably.
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• 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.
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• Work directly with the migration execution and enablement teams to understand real blockers, then encode the solutions into tooling rather than one-off fixes.
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• 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.
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• Contribute to the firm\'s practice for safe, effective use of agentic coding tools on production codebases.
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Attributes of Engineers in the Platform Migration group\n

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

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• Strong software engineering fundamentals and hands-on delivery in Python, Go, or Java.
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• 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.
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• Building automation and tooling that operates on real codebases: code parsing/transformation, templating, and generating change as reviewable pull requests.
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• Cloud-native platforms and their primitives: Kubernetes, containers (Docker/OCI), and at least one of AWS, GCP, or Cloud Foundry / VCF.
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• CI/CD and automated deployment pipelines.
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• Designing validation and guardrails for automated change, testing, verification, and safe rollback.
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• End-to-end application infrastructure concerns such as authentication/authorization and systems integration.
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• A consultative, problem-solving approach and the ability to communicate technical concepts clearly.
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• Excellent written and spoken communication skills.
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• Bachelor\'s 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.
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Preferred qualifications, capabilities, and skills\n

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

You\'ll be building at the leading edge of AI-assisted software engineering, on a problem with real scale and real impact - modernising the firm\'s 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.

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