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Barclays

Wealth management services for UK clients

Senior AWS Cloud Engineering Lead

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeHanover, NJ, USA

About the Job

Requirements

  • Experience designing, building, and supporting secure, scalable AWS cloud infrastructure across multi-account environments using IAM, VPC, Route 53, CloudFormation, EKS, Istio, OPA, and Kubernetes.
  • Experience implementing and automating cloud infrastructure provisioning using infrastructure as code principles, including reusable CloudFormation templates and standardized deployment patterns.
  • Experience leading cloud platform operations, monitoring, troubleshooting, vulnerability remediation, and security compliance activities for high availability and operational resilience.
  • Experience driving cloud cost optimization and DevOps practices by analyzing consumption patterns, identifying efficiency opportunities, and optimizing AWS spend across enterprise environments.
  • Experience partnering with application, infrastructure, security, and business stakeholders to deliver cloud solutions, provide technical leadership, and enable modern cloud, automation, and AI-driven operational capabilities.

Responsibilities

  • Design, develop, and implement solutions to complex business problems in collaboration with stakeholders, balancing technology risks against business delivery and driving consistency.
  • Design and develop solutions as evolving products that meet business requirements and align with modern software engineering practices and automated delivery tooling, identifying and implementing appropriate technologies and platforms.
  • Apply workload placement strategies that maximize cloud capabilities such as elasticity, serverless computing, and containerization.
  • Create best-practice designs incorporating security principles, including defense in depth and reduction of blast radius, that meet resiliency expectations.
  • Balance risks and controls to deliver agreed business and technology value.
  • Adopt standardized solutions where appropriate and contribute to their evolution when no standard solution fits.
  • Support operational teams with fault finding and performance issues using available tooling.
  • Assess solution design impacts on risk, capacity, and cost, including estimates of project change and ongoing run costs.
  • Develop architecture inputs and design artifacts required for architecture, privacy, security, records management, and other governance processes.
  • Contribute to or set strategy, drive requirements, and recommend change; plan resources, budgets, and policies; maintain policies and processes; deliver continuous improvements; and escalate policy or procedure breaches.
  • Advise key stakeholders, including functional leadership teams and senior management, on functional and cross-functional impacts and alignment.
  • Manage and mitigate risks through assessment in support of control and governance objectives, and demonstrate accountability for managing risk and strengthening controls.
  • Apply a comprehensive understanding of organizational functions to help achieve business goals.
  • Collaborate across areas of work to maintain awareness of business activity and strategies.
  • Compare complex alternatives through sophisticated analytical thought, analyze and interpret information to define problems, and develop innovative solutions.
  • Incorporate extensive research into problem-solving processes.
  • Build and maintain stakeholder relationships and partnerships to accomplish business objectives, using influencing and negotiating skills to achieve outcomes.
  • Architect and ship agentic workflows, retrieval-augmented generation, tool-calling, and orchestration to shorten cycle times.
  • Raise quality and adoption with enterprise-grade governance, and design and scale agents deployed on AWS EKS using Anthropic large language models with privacy and controls built in.

Desired Qualifications

  • Willingness to learn across business processes, current techniques, and new programming language paradigms.
  • Ability to translate banker needs into clear problem statements, influence roadmaps, and communicate complex AWS EKS and AI concepts simply.
  • Practical knowledge of prompt design, automated evaluations for faithfulness and relevance, red-teaming, and guardrail and content-safety patterns.
  • Experience tracking token spend and latency, running A/B experiments, tuning model routing, and using telemetry-driven decisions to meet metrics.
  • Familiarity with LangGraph, LangChain, Google ADK, MCP tool integration, vector stores such as OpenSearch, and event-driven APIs.

About the Company

Barclays

Wealth management services for UK clients

Barclays Wealth Management helps UK clients manage and grow their wealth through a regional network of financial experts. It delivers personalized advice and services—such as investment management, financial planning, and estate and trust planning—tailored to each client’s goals, risk tolerance, and time horizon, with support from Barclays’ broader resources. What sets it apart is the combination of local, face-to-face guidance with the scale and range of a large UK bank, offering access to a wide array of financial products and research. The goal is to help clients preserve and grow their wealth over the long term by providing comprehensive, advisor-led guidance aligned with individual financial objectives.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1690

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