Platform Engineering Lead - Cloud & Kubernetes

JPMorgan Chase & Co.

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer (Platform) to set technical direction across squads, drive secure production code, and build scalable, cloud-native platform services in a fintech environment.

You will lead engineering standards, mentor leaders, and advance AI-assisted tooling while ensuring operational reliability and strong security. The role emphasizes cross-squad leadership, architecture governance, and a culture of inclusion in a fast-paced, customer-centric

Qualifications

Formal training or certification on software engineering concepts, such as CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect, or equivalent experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments.
Advanced in one or more programming language(s), such as Go, Java or Kotlin.
Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams.
Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, AI, ML, mobile, etc.
Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as GCP, AWS, or Azure, at meaningful scale.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools with ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs

Responsibilities

Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls.
Develops secure high-quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices.
Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services.
Designs, builds, and operates Kubernetes-based platform services; automates developer self-service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy-as-code, and hardening standards.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements.
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading-edge technologies.
Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams.
Adds to team culture of diversity, equity, inclusion, and respect.
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.