Salary: £61,000 - 101,000 per year Requirements:

Formal training or certification on software engineering concepts and advanced applied experience
Strong practical experience with Kubernetes, including workload scheduling, services and networking, storage, role-based access control, upgrades, cluster operations, and troubleshooting
Solid cloud development experience, including designing distributed systems, deploying and operating services in cloud environments, and understanding of reliability and scaling principles
Proficiency in Go and Python, with the ability to apply these languages to build platform services and automation tooling
Demonstrated ability to collaborate effectively in a team setting, including experience with or openness to pair programming and mob programming practices
Strong engineering fundamentals including data structures, networking basics, Linux and container fundamentals, and secure coding practices
Ability to take ambiguous requirements, propose solutions, and deliver iteratively with clear and consistent communication
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Experience building platform components such as operators and controllers, admission webhooks, service meshes, ingress and gateway patterns, or multi-cluster tooling
Familiarity with infrastructure-as-code and automation practices, including tools such as Terraform, Helm, Kustomize, Argo CD, Flux, or continuous integration systems
Experience with observability stacks and site reliability engineering practices, including service level indicators and objectives, incident response, and post-incident reviews
Exposure to regulated environments and implementing security and compliance controls without compromising developer experience

Responsibilities:

Design, build, and maintain Kubernetes platform capabilities including cluster services, controllers and operators, admission policies, platform APIs, and developer tooling
Develop backend services and automation in Go and Python to improve platform reliability, usability, and self-service for engineering consumers
Create and maintain delivery workflows that standardize engineering practices and reduce operational toil across the platform
Improve observability and operational readiness through monitoring, logging, tracing, alerting, runbook development, and on-call practices
Partner with security and risk stakeholders to implement secure-by-default patterns across identity, policy, network controls, and secrets management
Contribute to technical direction by authoring design documents, participating in architecture reviews, and helping define engineering standards and best practices
Mentor and support fellow engineers through code reviews, pairing and mob programming sessions, and constructive, pragmatic feedback
Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Technologies:

AI
Backend
Cloud
Helm
Support
Kubernetes
Kustomize
Linux
Marketing
Network
Python
Security
Terraform
DevOps

More:

hackajob is partnering directly with JPMorganChase to hire for this role. Join one of the worlds most innovative technology organizations and help shape the infrastructure that powers it. At JPMorganChase, our engineers build the platforms that thousands of engineers rely on every day. This Lead Software Engineer role sits within the Container Platforms group as part of the Security & Identity team, focused on Kubernetes-based platform capabilities that enable engineering teams to deploy, run, and scale services safely and efficiently. You will work closely with peers across public and private platforms, partnering on security, identity, and usability to deliver a best-in-class developer experience. This is a hands-on, end-to-end engineering role with a strong focus on platform reliability, operational maturity, and engineering culture across the firm. We are a global leader in financial services, providing strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Our corporate functions team spans finance, risk, human resources, and marketing, supporting our businesses, clients, customers, and employees. We value diversity and inclusion and are an equal opportunity employer.

last updated 41 week of 2026

Lead Software Engineer (Container Platforms)

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