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 Sector's Infrastructure 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

 

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others 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 firmwide 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 Adds to the team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5 + years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated experience in Golang development and with distributed computing  Advanced in one or more programming language(s) Hands-on practical experience in both consuming and writing web service APIs -RESTful or Graph-based using JSON and/or XML.  Experience with LDAP, Active Directory, OIDC, SAML, Kerberos, Amazon IAM, or other enterprise/cloud authentication/authorization technologies Experience of deployment through a controlled pipeline e.g. – Jenkins, GIT, Bitbucket, Artifactory, automated test and integration Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience with logic programming – Rego, Datalog or Prolog  Experience with formal test methods, deterministic simulation testing, Satisfiability Modulo theories, Boolean Satisfiability Use of RDF technologies such as SparQL or JSON-LD  Declarative model transformations or mappings – e.g. in a data pipeline