About this role
Salary: £61,000 - 101,000 per year
Requirements: Formal training or certification on software engineering concepts and advanced applied experienceStrong practical experience with Kubernetes, including workload scheduling, services and networking, storage, role-based access control, upgrades, cluster operations, and troubleshootingSolid cloud development experience, including designing distributed systems, deploying and operating services in cloud environments, and understanding of reliability and scaling principlesProficiency in Go and Python, with the ability to apply these languages to build platform services and automation toolingDemonstrated ability to collaborate effectively in a team setting, including experience with or openness to pair programming and mob programming practicesStrong engineering fundamentals including data structures, networking basics, Linux and container fundamentals, and secure coding practicesAbility to take ambiguous requirements, propose solutions, and deliver iteratively with clear and consistent communicationHands-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 securityUnderstanding 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 practicesExperience building platform components such as operators and controllers, admission webhooks, service meshes, ingress and gateway patterns, or multi-cluster toolingFamiliarity with infrastructure-as-code and automation practices, including tools such as Terraform, Helm, Kustomize, Argo CD, Flux, or continuous integration systemsExperience with observability stacks and site reliability engineering practices, including service level indicators and objectives, incident response, and post-incident reviewsExposure 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 toolingDevelop backend services and automation in Go and Python to improve platform reliability, usability, and self-service for engineering consumersCreate and maintain delivery workflows that standardize engineering practices and reduce operational toil across the platformImprove observability and operational readiness through monitoring, logging, tracing, alerting, runbook development, and on-call practicesPartner with security and risk stakeholders to implement secure-by-default patterns across identity, policy, network controls, and secrets managementContribute to technical direction by authoring design documents, participating in architecture reviews, and helping define engineering standards and best practicesMentor and support fellow engineers through code reviews, pairing and mob programming sessions, and constructive, pragmatic feedbackDrive 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 teamApply 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: AIBackendCloudHelmSupportKubernetesKustomizeLinuxMarketingNetworkPythonSecurityTerraformDevOps 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 39 week of 2026