API Infrastructure Engineer
Barclays
About the Role
We are looking for an experienced infrastructure Engineer who can build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. You will provide L2/L3 support for infrastructure and application stack while driving automation, reliability (SRE), and release excellence across environments.
Key Responsibilities
- Build and deliver high-quality infrastructure solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Deep experience in infrastructure engineering activities, including IAC, automation, design governance and troubleshooting.
- 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.
- To perform assigned activities in a timely manner and to a high standard consistently driving continuous improvement.
- Build modern CI/CD pipelines, automated testing, security controls and release automation.
- Collaborate closely with Product Owner, Solution Architect, Security, Platform and QA teams to deliver integrated digital solutions.
- Ensure compliance with enterprise security, risk, governance and regulatory requirements.
- Support cross-platform initiatives through working knowledge of iOS development principles and mobile ecosystem standards.
- Foster a culture of collaboration, accountability, continuous improvement, and engineering excellence.
- Support recruitment, onboarding, and team growth initiatives.
- Strong advocate of clean, testable, and maintainable code.
- Manage incidents, problems, and changes using ITIL-aligned processes and SLAs (e.g., ServiceNow/Jira).
- Plan and execute OS patching cycles; maintain compliance with security and audit requirements.
- Maintain comprehensive runbooks, knowledge base articles, and support documentation.
- Build, maintain, and optimize CI/CD pipelines (GitLab CI/CD, Jenkins, Nexus) to improve release velocity and quality.
- Hands-on experience in Blue-Green deployments and good understanding of various other deployment strategy.
Core Technical Skills and Experience
- Programming language python or Java
- Core Technical Skills: Apigee Edge (Google Cloud), Business works, TIBCO EMS and MQ.
- Technical Skills: Terraform, Ansible, Jenkins, Shell script, Datadog, docker, containers, GitLab, Snyk, Qualys, Jira, Confluence, Maven, Gradle, and NPM.
- AWS cloud computing: EC2, ECR, EKS, S3, Cloud Formation, networks.
- Database design and SQL.
- Operating System knowledge – Windows, Linux and awareness on AIX.
- System design and architecture.
- Experience building production services, distributed systems, or shared platform capabilities.
- Experience designing and implementing APIs, RESTful services, integration contracts, and data or domain models.
- Experience turning requirements and ambiguous problems into designs, prototypes, and production-ready solutions.
- Experience with authentication, authorization, and identity management.
- Ability to communicate technical decisions clearly, collaborate across teams and time zones, and support other engineers through feedback and knowledge sharing.
- Experience contributing to technical designs and proof of concept work.
- Very good understanding and solid hands-on on cloud computing system preferably AWS.
- Strong understanding on containers and hands-on experience in EKS/Docker also ability to write and deploy Helm chart.
Qualifications
- Terraform, Ansible, Jenkins, Shell script, Datadog, python, API, docker, containers, ECR, EKS and GitLab.
- JavaScript, Java, Cucumber, JUnit.
- Experience with OAuth 2.0, OpenID Connect, token exchange, policy systems, delegated administration, or identity data modelling.
- Ability to use AI engineering tools to accelerate research, code understanding, prototyping, implementation, and documentation while applying sound engineering judgment.
- Experience with authentication, authorization, and identity management.
- Familiarity with MCP, agent skills, and other agent integration concepts.
