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 problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artefacts for complex applications while being accountable for ensuring design constraints are metGives insightful and constructive feedback when reviewing code, technical designs and requirementsGathers, analyses, synthesises, and develops visualisations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene, system architecture and team processesMentors and empowers junior and mid-level talent within our team,  and adds to a team culture of diversity, equity, inclusion, and respectDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life CycleInfluences 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 experienceSolid 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, GoExperience working with HTML/ CSS and at least 1 modern JavaScript framework such as React.js, Vue.js, Hapi.js, Ember.js, Angular.jsExperience 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 securityExperience with Agile development methodologies and working knowledge of DevOps principlesAbility to interact with people at all levels in an organisationAbility to communicate complex ideas effectivelyPassion for growing your skills, tackling interesting work and challenging problemsPreferred qualifications, capabilities, and skillsExperience/Knowledge of model governance, data governance is a plusFamiliarity with modern full-stack technologiesExperience in writing and utilising RESTful and GraphQL API services and performance tuning large-scale applicationsExperience with cloud providers (e.g. AWS, Azure, GCP) and containerisation (e.g. Docker, Kubernetes)