Lead Software Engineer - Application Owner & Release Manager

Salary: £100,000 - 100,000 per year

Requirements:

• We require a bachelors degree or equivalent practical experience.
• We require hands-on experience delivering system design, application development, testing, and operational stability in an agile environment.
• We require proficiency in Python and Java.
• We require proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices.
• We require working knowledge of cloud-native delivery on Amazon Web Services, including object storage, compute, containers, and managed data processing services.
• We require understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness.
• We require demonstrated experience leading effective use of approved AI-assisted software development tools, including setting expectations to validate AI outputs for correctness, performance, and security.
• We require strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• We require the ability to coach engineers on safe, compliant adoption of AI-assisted practices within delivery workflows.
• We require the ability to understand an application end-to-end, including dependencies, data flows, and deployment topology.
• We require strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority.
• We require comfort operating in ambiguity and translating broad mandates into an actionable backlog.
• Preferred: experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment.
• Preferred: familiarity with Databricks and cloud data-lake patterns using object storage as a core data store.
• Preferred: experience driving remediation of security findings and coordinating upgrades across frameworks, runtimes, and infrastructure-as-code.
• Preferred: understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi-zone design, and disaster recovery testing.
• Preferred: experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions.
• Preferred: exposure to using AI-assisted tooling to reduce operational toil while retaining strong human judgment and accountability.
• Preferred: domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices.

Responsibilities:

• We own application governance and records by maintaining accurate system-of-record information, certifications, and remediation workflows.
• We drive permit-to-operate activities by coordinating required inputs, re-certifications, and stakeholder responses to move changes safely into production.
• We monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines.
• We approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners.
• We own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection.
• We manage technology lifecycle work by identifying end-of-life or prohibited components and coordinating upgrades across dependencies and teams.
• We lead firmwide initiatives and non-functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion.
• We lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post-release validation.
• We develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement.
• We drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards and promoting reuse of effective patterns.
• We apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation.

Technologies:

• AI
• Cloud
• Databricks
• Java
• Machine Learning
• Marketing
• Python
• Security
• Web
• microservices

More:

hackajob is partnering directly with JPMorganChase to hire for this role. We are building solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. As a Lead Software Engineer, Application Owner and Release Manager in the Wholesale Credit Risk Technology Analytics team, we offer breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You will help reduce toil through automation and create space for engineers and data scientists to do their best work. You will partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. We value inclusion, growth, and pragmatic problem-solving. We are a global leader in financial services with a first-class business in a first-class way approach, and our Corporate Functions team covers diverse areas from finance and risk to human resources and marketing. We are committed to diversity and inclusion and make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.

last updated 35 week of 2026