Lead Software Engineer - Observability Event Alert UK - Java Full Stack

JPMorgan Chase · Glasgow

As a Lead Software Engineer at JPMorganChase, you will be at the center of a high-impact modernization effort, leading the evolution of firmwide alerting and event-routing infrastructure from a legacy monolith to a modern, cloud-native microservices platform. You will partner across engineering, site reliability, product, and controls teams to deliver resilient, scalable systems — including a new AI-powered monitoring tool that brings intelligent event enrichment, correlation, and root cause analysis to the firm. This is a brilliant role for an engineer with a full stack (but backend-dominant) Java skillset; who brings deep technical expertise to raise the bar for the teams around them.

Job Responsibilities

Execute creative software solutions across design, development, and advanced technical troubleshooting, think beyond routine approaches to build solutions and break down complex technical problems.
Lead the migration from a legacy monolith to a modern, containerized microservices architecture (Java/Spring Boot; UI modernization as needed), including decomposition strategy, domain modeling, and data migration planning.
Re‑architect existing infrastructure to achieve high scalability, reliability, and availability (multi‑AZ/region patterns, autoscaling, HA/DR).
Deliver features end‑to‑end, build backend services and APIs (REST/GraphQL) in Java/Spring Boot and contribute to operational UIs/console experiences as needed.
Design and implement event‑driven systems and streaming‑based alerting workflows (e.g., Kafka), including sound topic/schema design and resilient consumer strategies.
Build and evolve secure, high‑quality production services; review, debug, and improve code written by others to raise engineering standards.
Drive performance, resiliency, and scalability improvements for firmwide alerting and event routing; instrument SLOs/SLIs and optimize p99 latency and throughput. Collaborate cross‑LOB with product, application teams, SRE/operations, and controls to ensure reliable adoption and effective incident response.
Explore and evaluate AI for Ops approaches with partners across SRE and observability. Drive POCs and data‑driven adoption where appropriate.
Lead evaluation and architecture discussions with internal teams (and vendors when applicable) to assess designs, technical credentials, and fit within enterprise architectures. Contribute to communities of practice to promote awareness and adoption of modern engineering and observability practices.
Add to a team culture of diversity, opportunity, inclusion, and respect.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies 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.

Required qualifications, capabilities, and skills

Significant professional software engineering experience, including leading cross‑team initiatives (Lead level).
Hands‑on experience delivering system design, application development, testing, and operational stability for distributed systems.
Advanced proficiency in Java and building microservices with Spring Boot, strong system design expertise.
Backend-focused engineering mindset with the ability to contribute across layers as needed, including partnering effectively on UI work when required.
Proficiency in automation and continuous delivery methods; experience implementing CI/CD pipelines.
Proficient across the Software Development Life Cycle (SDLC): requirements, design, coding, testing, deployment, and support.
Advanced understanding of agile methodologies and practices, including CI/CD, application resiliency, and security.
Cloud‑native experience deploying containerized microservices in cloud.
Working knowledge of relational databases (Oracle).
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

Proficiency with Kubernetes (e.g., EKS) for container orchestration and operations.
Proficiency with event‑streaming platforms (e.g., Kafka) and event‑driven architectural patterns.
Experience designing and operating distributed systems at scale (microservices, multi‑region failover).
Experience building modern frontend applications with React and TypeScript for operational consoles/UX (good to have).
Expertise with AWS services aligned to containerized workloads and streaming. Familiarity with CockroachDB is a plus.
Infrastructure‑as‑Code (e.g., Terraform, Helm) and configuration management. Observability tooling familiarity (e.g., Prometheus/Grafana, OpenTelemetry, Splunk/ELK) and defining SLOs/SLIs.
Experience mentoring engineers, conducting design reviews, and establishing engineering standards/best practices. Effective communication and stakeholder management across product, operations, and controls.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Build a next-gen monitoring tool in the Events and Alerting space — leveraging AI for event enrichment, correlation, and root cause analysis.

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