Senior Distributed Systems Engineer

Barclays•Jefferson, CO

2d•$166,000 - $175,000•Hybrid

About The Position

Barclays Services LLC seeks Senior Distributed Systems Engineer in Whippany, NJ (multiple positions available). This role involves designing, developing, and improving software using various engineering methodologies to provide business, platform, and technology capabilities. The position requires designing and implementing RESTful microservices for ultra-low latency decisioning, building rule-based decisioning engines, and engineering features from complex datasets for fraud models. The engineer will deliver containerized/serverless workloads on AWS, build platform components for resiliency, and automate builds and deployments. Responsibilities include utilizing Java and J2EE, Spring and Spring Boot frameworks, developing event-driven solutions with Apache Kafka, building microservices, and employing software development lifecycle tools.

Requirements

Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Design and implement RESTful microservices for ultra low latency decisioning, built with Java (JDK 17+) / Spring Boot, containerized and orchestrated for horizontal scale, with robust observability and SLOs.
Design, implement, and maintain rule-based decisioning engines that automate business processes and enable dynamic, data-driven decision making, utilizing frameworks and technologies to ensure flexibility, scalability, and seamless integration with enterprise platforms.
Design and engineer features from complex datasets for fraud models by applying advanced data transformation, extraction, and selection techniques to support the development of robust predictive models.
Deliver containerized/serverless workloads on AWS (or equivalent) aligned with internal aPaaS/managed services standards; optimize for cost, performance, and resilience.
Build platform components for resiliency (multi AZ/region patterns), implement automated monitoring/alerting, and follow secure coding with SCA/SAST tools (e.g., SonarQube, Veracode).
Automate builds and deployments (e.g., Maven, Jenkins/GitLab CI), maintain trunk-based workflows, and contribute to documentation and runbooks (Jira/Confluence).
Utilize Java and J2EE to develop robust, high-performance, and scalable enterprise applications.
Leverage Spring and Spring Boot frameworks to rapidly deliver deployable web and batch applications.
Develop event-driven solutions leveraging messaging platforms such as Apache Kafka to capture real-time customer events, facilitating advanced data modeling and predictive analytics.
Build microservices to decompose complex functionalities into streamlined, maintainable, and efficient service components for enhanced performance.
Employ source code management and continuous integration tools, including Maven, Jenkins, gitlab and Bitbucket, to package Java applications for deployment on public cloud platforms.
Utilize software development lifecycle tools such as JIRA, Confluence, and SonarQube to support daily development and project management activities.

Nice To Haves

Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/ /or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.
Demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right.
Demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Responsibilities

Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Design and implement RESTful microservices for ultra low latency decisioning, built with Java (JDK 17+) / Spring Boot, containerized and orchestrated for horizontal scale, with robust observability and SLOs.
Design, implement, and maintain rule-based decisioning engines that automate business processes and enable dynamic, data-driven decision making, utilizing frameworks and technologies to ensure flexibility, scalability, and seamless integration with enterprise platforms.
Design and engineer features from complex datasets for fraud models by applying advanced data transformation, extraction, and selection techniques to support the development of robust predictive models.
Deliver containerized/serverless workloads on AWS (or equivalent) aligned with internal aPaaS/managed services standards; optimize for cost, performance, and resilience.
Build platform components for resiliency (multi AZ/region patterns), implement automated monitoring/alerting, and follow secure coding with SCA/SAST tools (e.g., SonarQube, Veracode).
Automate builds and deployments (e.g., Maven, Jenkins/GitLab CI), maintain trunk-based workflows, and contribute to documentation and runbooks (Jira/Confluence).
Utilize Java and J2EE to develop robust, high-performance, and scalable enterprise applications.
Leverage Spring and Spring Boot frameworks to rapidly deliver deployable web and batch applications.
Develop event-driven solutions leveraging messaging platforms such as Apache Kafka to capture real-time customer events, facilitating advanced data modeling and predictive analytics.
Build microservices to decompose complex functionalities into streamlined, maintainable, and efficient service components for enhanced performance.
Employ source code management and continuous integration tools, including Maven, Jenkins, gitlab and Bitbucket, to package Java applications for deployment on public cloud platforms.
Utilize software development lifecycle tools such as JIRA, Confluence, and SonarQube to support daily development and project management activities.