Lead Software Engineer - Low Latency Java

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on enterprise software development concepts and advanced applied experience.
• Excellent understanding of Java 17+ fundamentals and frameworks such as Spring Boot, OO programming paradigms, multi-threading, messaging technologies, and computer networks.
• Strong experience producing test cases and using automated testing frameworks for functional and non-functional validation, such as JUnit, Blazemeter, and JMeter.
• Knowledge of relational database technologies such as PostgreSQL and CockroachDB, including resiliency, recoverability, scalability, and security.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience with diagramming software and technical writing, such as PlantUML, Lucid, Draw.io, or Visio.
• Strong interpersonal, communication, documentation, diagramming, and presentation skills, with experience working with globally distributed teams and stakeholders.
• Passion for technical innovation and staying up to date with emerging technologies.
• Understanding of the full software development lifecycle and agile methodologies.
• Demonstrated technical leadership experience along with coaching and mentoring.
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools within delivery practices.
• Preferred: experience with low-latency programming techniques and technologies such as Inter-Process Communication, Memory-Mapped Files, and Ring Buffers.
• Preferred: experience with gRPC and Google Protocol Buffers.
• Preferred: experience working on distributed systems and knowledge of distributed systems design patterns.
• Preferred: hands-on experience with another statically compiled language such as Golang, Rust, or C++.
• Preferred: awareness of architectural patterns, algorithms, data structures, cryptography, security protocols such as TLS and OAuth/OIDC, secure system design, and threat modelling.
• Preferred: certified Kubernetes and public cloud knowledge such as CKAD and AWS certifications.

Responsibilities:

• Design and develop robust, high-performance, latency-sensitive code while incorporating security requirements and reviewing code written by team members using software engineering best practices.
• Work closely with Product Owners, Solutions Analysts, Technical Architects, and Senior Engineers to design the best technical approach for development.
• Translate business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet ambitious timelines.
• Produce architecture and design artifacts for complex applications and ensure design constraints are met by code.
• Assess compliance, risks, and vulnerabilities to ensure systems and baselines are operationally sound, performant at scale, and exceed customer expectations.
• Contribute to the ongoing development of the team, including recruitment, paired programming, peer review, and mentoring.
• Collaborate effectively as part of a global team and support a culture of diversity, opportunity, inclusion, and respect.
• Provide technical leadership to engineering sub-teams by transforming requirements into stories and a build plan.
• Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish consistent validation standards such as secure coding, peer review, and automated testing, and promote reuse of effective patterns across the team.
• Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value.
• Provide out-of-hours application support and coordinate production releases.

Technologies:

• AI
• AWS
• Cloud
• CockroachDB
• Cryptography
• Golang
• Support
• JUnit
• Java
• JMeter
• Kubernetes
• OAuth
• PostgreSQL
• Rust
• Security
• Spring
• Spring Boot
• gRPC

More:

We are JPMorgan Chase, a global leader in financial services and part of J.P. Morgans Commercial & Investment Bank, with a strong presence across banking, markets, securities services, and payments. Our Global Liquidity and Cash Management Technology team is building a next-generation low-latency wholesale banking platform for global scale, supporting hundreds of millions of accounts and thousands of requests per second. We offer the opportunity to work on innovative technology with direct impact on the liquidity business, collaborate with colleagues across Product, Architecture, Infrastructure, and Engineering, and grow within a diverse, inclusive, global workforce. We value trusted long-term partnerships, technical excellence, and responsible innovation, including the adoption of approved AI-assisted engineering practices.

last updated 34 week of 2026