• Design, implement, and maintain CI/CD pipelines using Git‑based workflows, enabling automated build, test, and deployment processes across environments.
• Apply strong hands‑on expertise with GitLab and Harness, including pipeline configuration, release orchestration, and deployment strategies.
• Embed engineering quality, security, and compliance checks within pipelines to support consistent and repeatable delivery outcomes.
• Support teams in adopting CI/CD best practices, improving deployment reliability and reducing manual intervention.
• Work hands‑on with Kubernetes platforms to support scalable and resilient application delivery across development and runtime environments.
• Operate and maintain Kubernetes clusters for both stateless and stateful workloads, including configuration, upgrades, scaling, and lifecycle management.
• Collaborate with platform and application teams to ensure workloads are deployed in line with cloud‑native and operational best practices.
• Apply practical experience with public cloud platforms (AWS preferred) to support containerized and cloud‑hosted applications.
• Design and implement Infrastructure as Code (IaC) solutions using Terraform, enabling automated, repeatable, and version‑controlled environment provisioning.
• Build and maintain IaC pipelines that support consistent infrastructure deployment across multiple environments.
• Ensure infrastructure changes are traceable, auditable, and aligned with Barclays’ control and governance requirements.
• Demonstrate good working knowledge of distributed data and streaming platforms, such as Apache Flink, Redis, MongoDB, and Kafka, supporting platform integration and operational readiness.
• Work collaboratively with engineering and platform teams to support applications that depend on data streaming and distributed systems.
• Contribute to operational stability by understanding platform dependencies and deployment considerations for data‑intensive services.
• Deliver software using Agile methodologies, actively participating in sprint planning, reviews, retrospectives, and continuous improvement.
• Strong adoption with modern developer tooling including GitLab, DevSecOps pipelines, and secure CI/CD practices.
• Hands‑on experience with: Docker Desktop for local containerized development, IntelliJ IDEA or equivalent enterprise IDEs and Secure source control, branching strategies, and automated quality gates
• Drive a test first, quality driven engineering culture with hands on experience in: Contract testing, Unit Testing, Performance and Load testing, Mutation Testing.
• Ensure test coverage and automation are embedded into CI/CD pipelines, not treated as post‑delivery activities.
• Demonstrate strong awareness and practical adoption of AI‑assisted engineering practices with AI coding assistants (e.g., Claude Code, GitLab Duo, Copilot or equivalent) to support code generation, refactoring, documentation, and test creation, while retaining engineering judgement and accountability.

Some other highly valued skills may include:

• Contribute as an Individual Contributor Engineer (ICE), owning assigned DevOps deliverables end‑to‑end with minimal supervision and strong engineering accountability.
• Work effectively within Agile/Scrum delivery models, using Jira for backlog management, delivery tracking, and sprint execution.
• Apply strong analytical and troubleshooting skills to diagnose and resolve complex issues in distributed, event‑driven systems.
• Demonstrate excellent verbal and written communication, producing clear architecture designs, decision records, and technical documentation.
• Collaborate closely with cross‑functional teams (engineering, DevOps, security, architecture) to deliver integrated, enterprise‑ready solutions.
• Exhibit strong ownership, self‑drive, and innovation mindset, staying current with cloud‑native technologies and modern engineering best practices.