Platform Engineer - AVP at Barclays | Jefferson Park, NY, US | Rezi

Platform Engineer - AVP at Barclays

Platform Engineer - AVP

Barclays · Jefferson Park, NY, US

1 months ago

Platform Engineer - AVP

Barclays · Jefferson Park, NY, US

2 months ago
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About the Role

Design, develop, and improve software utilizing various engineering methodologies to provide business, platform, and technology capabilities for customers and colleagues. Build secure, scalable, and developer-friendly platforms that accelerate innovation across cloud, container, AI, and enterprise environments. Empower engineers through reusable capabilities, automation, and modern engineering practices.

Responsibilities

  • Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools.
  • Ensure code is scalable, maintainable, and optimized for performance.
  • Collaborate cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives.
  • Participate in code reviews and promote a culture of code quality and knowledge sharing.
  • Stay informed of industry technology trends and innovations and contribute to technology communities.
  • Adhere to secure coding practices to mitigate vulnerabilities and protect sensitive data.
  • Implement effective unit testing practices to ensure proper code design, readability, and reliability.
  • Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.
  • Lead a team performing complex tasks, using professional knowledge and skills to deliver on work impacting the business function.
  • Set objectives, coach employees, appraise performance, and determine reward outcomes.
  • Lead collaborative assignments and guide team members through structured assignments.
  • Identify the need for inclusion of other areas of specialization to complete assignments.
  • Identify new directions for assignments and/or projects, utilizing cross-functional methodologies or practices.
  • Consult on complex issues and provide advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and develop new policies/procedures.
  • Take ownership for managing risk and strengthening controls.
  • Perform work closely related to other areas, understanding how areas coordinate and contribute to organizational objectives.
  • Collaborate with other areas for business-aligned support, staying updated on business activity and strategy.
  • Engage in complex analysis of data from multiple sources to solve problems creatively and effectively.
  • Communicate complex information, including sensitive or difficult-to-communicate content.
  • Influence or convince stakeholders to achieve outcomes.
  • Demonstrate Barclays Values (Respect, Integrity, Service, Excellence, Stewardship) and Barclays Mindset (Empower, Challenge, Drive).

Requirements

  • Considerable cloud engineering foundations across AWS, Azure, or GCP, including computer, networking, storage, IAM, encryption, serverless, containers, and highly available multi-region or multi-AZ architecture.
  • Experience in software engineering capability in Python, Java, or Go, with the ability to build APIs, automation tools, infrastructure services, backend components, and clean, testable, maintainable code.
  • Deep CI/CD and automation experience, including build, test, deploy pipelines, release automation, rollback strategies, secrets management, artifact promotion, and reusable pipeline templates for multiple teams.
  • Infrastructure as Code (IaC) and configuration management experience using tools such as Terraform, CloudFormation, Ansible, or equivalent, with an emphasis on repeatability, auditability, scalability, and controlled change.
  • Containerization and orchestration knowledge, including Docker, Kubernetes, EKS/ECS, Helm, GitOps, container registries, image hardening, and enterprise-grade deployment practices.
  • Platform observability and reliability knowledge, including logging, metrics, tracing, dashboards, SLOs, alerting, incident response, root-cause analysis, and performance optimization.
  • Security, risk, and coordinate awareness, including secure coding, vulnerability management, access structure, policy-as-code, data protection, and operational resilience.
  • Developer experience and platform-product thinking, with the ability to create self-service capabilities, reusable templates, golden paths, documentation, and guardrails that improve engineering productivity.
  • AI platform and GenAI enablement skills, including LLM integration, RAG patterns, embeddings, agentic frameworks, model serving, prompt safety, and AI/ML workload support.
  • Enterprise collaboration and leadership capability, including mentoring engineers, influencing architecture strategies, guiding stakeholders, and aligning technology outcomes with business targets.
  • Risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills may be assessed.

Skills

  • Python
  • Java
  • Go
  • APIs
  • Automation tools
  • Infrastructure services
  • Backend components
  • CI/CD
  • Build pipelines
  • Test pipelines
  • Deploy pipelines
  • Release automation
  • Rollback strategies
  • Secrets management
  • Artifact promotion
  • Reusable pipeline templates
  • Infrastructure as Code (IaC)
  • Terraform
  • CloudFormation
  • Ansible
  • Docker
  • Kubernetes
  • EKS/ECS
  • Helm
  • GitOps
  • Container registries
  • Image hardening
  • Logging
  • Metrics
  • Tracing
  • Dashboards
  • SLOs
  • Alerting
  • Incident response
  • Root-cause analysis
  • Performance optimization
  • Secure coding
  • Vulnerability management
  • Access structure
  • Policy-as-code
  • Data protection
  • Operational resilience
  • Self-service capabilities
  • Reusable templates
  • Golden paths
  • Documentation
  • Guardrails
  • LLM integration
  • RAG patterns
  • Embeddings
  • Agentic frameworks
  • Model serving
  • Prompt safety
  • AI/ML workload support
  • Mentoring engineers
  • Influencing architecture strategies
  • Guiding stakeholders
  • Aligning technology outcomes with business targets

Location

  • Whippany, NJ

Work Type

  • Full-time

Experience Level

  • Assistant Vice President (AVP)

Salary/Compensations

  • $120,000
  • $175,000

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k)
  • Life insurance
  • Other paid leave for qualifying circumstances
  • Incentive award

About the Company

  • Barclays is redefining the future of banking and helping craft innovative solutions.
  • Our vision is clear – to redefine the future of banking and help craft innovative solutions.