Software Product Engineer - AVP

Barclays•Hanover Township, NJ

1d•$120,000 - $175,000•Onsite

About The Position

Embark on a transformative journey as a Software Product Engineer - AVP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you will play a key part in designing, developing, and delivering scalable digital products that enhance customer experiences and drive business growth. Working with talented engineering teams across the organization, you will have the opportunity to influence technology strategy, leverage modern engineering practices, and contribute to solutions that power one of the world's supporting financial institutions.

Requirements

Significant experience in full stack development, with a primary focus on Angular for front-end development and Node.js for back-end services, with in-depth knowledge of React, Vue.js, Java, .NET, and Spring Boot
Proficiency in designing, building, and consuming RESTful APIs and microservices within cloud-based environments
Experience working with relational and/or NoSQL databases, including data modeling, performance tuning, and optimization
Ample understanding of software engineering best practices, including Agile delivery methodologies, automated testing, CI/CD pipelines, code quality standards, and secure software development practices
Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform

Nice To Haves

Knowledge of containerization and orchestration technologies, including Docker and Kubernetes
Familiarity with DevOps practices, infrastructure-as-code tools, and application monitoring and observability platforms
Experience working within financial services or other highly regulated industries, with an ample understanding of security, compliance, governance, and risk management principles
Considerable collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and contribute to a culture of continuous improvement and innovation

Responsibilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.
To 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.
If the position has leadership responsibilities, People Leaders are expected to 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.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
They will 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.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right.
They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.