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 firm's practice for safe, effective use of agentic coding tools on production codebases.

Attributes of Engineers in the Platform Migration group

• A builder's 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 firm's values.

Required qualifications, capabilities, and skills

• Strong software engineering fundamentals and hands-on delivery in Python, 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.
• 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.

Preferred qualifications, capabilities, and skills

• Experience building on top of LLM APIs: agent frameworks, tool/function calling, retrieval, and writing evals to 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.

What's in it for you?

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.

• 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.

• Strong software engineering fundamentals and hands-on delivery in Python, 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.
• 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., * Experience building on top of LLM APIs: agent frameworks, tool/function calling, retrieval, and writing evals to 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.

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.

• 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.