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JPMorgan Senior Lead Software Engineer - Golang 
United States, New Jersey, Jersey City 
666785241

29.06.2024

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