Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate AI/ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artefacts for complex applications while being accountable for ensuring design constraints are met Gives insightful and constructive feedback when reviewing code, technical designs and requirements Gathers, analyses, synthesises, and develops visualisations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene, system architecture and team processes Mentors and empowers junior and mid-level talent within our team, and adds to a team culture of diversity, equity, inclusion, and respect Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient advanced experience Solid understanding of fundamental data structures including arrays, linked lists, stacks, queues, trees, graphs, and hash tables. Ability to design, analyse, and implement algorithms, with a focus on sorting and searching techniques. Experience in modern architecture patterns (e.g. micro-services, reactive architectures, event-driven architectures) Programming experience in at least 2 modern programming languages/frameworks such as JavaScript, React, Node.js, Java, Kotlin, Python, Go Experience working with HTML/ CSS and at least 1 modern JavaScript framework such as React.js, Vue.js, Hapi.js, Ember.js, Angular.js Experience with relational and non-relational databases (e.g. PostgreSQL, MongoDB, CouchDB, Redis, Elasticsearch, Cassandra, etc.) Experience in engineering practices such as code refactoring, design patterns, design-driven development, TDD, CI/CD, building highly scalable applications, application security Experience with Agile development methodologies and working knowledge of DevOps principles Ability to interact with people at all levels in an organisation Ability to communicate complex ideas effectively Passion for growing your skills, tackling interesting work and challenging problems Preferred qualifications, capabilities, and skills Experience/Knowledge of model governance, data governance is a plus Familiarity with modern full-stack technologies Experience in writing and utilising RESTful and GraphQL API services and performance tuning large-scale applications Experience with cloud providers (e.g. AWS, Azure, GCP) and containerisation (e.g. Docker, Kubernetes)