Senior Lead Software Engineer -Golang Ontology/RDF

JPMorgan Chase & Co.
Glasgow
8 months ago
Applications closed

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer at JPMorgan Chase within the Corporate Sector, Infrastructure Platforms, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations 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 and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Defines a roadmap to build out features of the solution that deliver capabilities which align with specific short-term use cases and requirements.  Works with teams across the bank to source reference data (and associated metadata)  Builds metadata-driven declarative data transformations (JSON-to-JSON) Partners closely with colleagues through pairing and code reviews

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Demonstrated experience building security and privacy controls for Google Cloud Platform (GCP) Demonstrated experience in GoLang development and with distributed computing  Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Proficiency in working with information/data models Hands-on practical experience in both consuming and writing web service APIs -RESTful or Graph-based using JSON and/or XML.  Some exposure to LDAP, Active Directory, OIDC, SAML, Kerberos, Amazon IAM, or other enterprise/cloud authentication/authorization technologies Experience of deployment through a controlled pipeline – Jenkins, GIT, Bitbucket, Artifactory, automated test and integration

Preferred qualifications, capabilities, and skills

Declarative model transformations or mappings – . in a data pipeline Experience with logic programming – Rego, Datalog or Prolog  Experience with formal test methods, Satisfiability Modulo theories, Boolean Satisfiability Use of RDF technologies such as SparQL or JSON-LD 

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