Sr. Systems Engineer at Visa in London

Job description

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: Currency cloud, part of Visa, is a technology-driven company specializing in cross-border payments. Our mission is to provide businesses with seamless and secure global payment solutions. As an Infrastructure Engineer, you will play a key role in designing, building, and operating scalable, secure, and resilient cloud infrastructure on AWS. This mid-level role is ideal for engineers with proven experience in cloud technologies, automation, DevOps practices, and distributed systems. You will work closely with senior engineers and cross-functional teams to drive improvements, implement best practices, and ensure the reliability of the systems powering our global payment network. Key Responsibilities: AWS Infrastructure Engineering: Design, build, and maintain AWS services at scale, including: EC2, EKS, ECR, S3, KMS, VPC, RDS, ElastiCache, OpenSearch, SageMaker, and CloudWatch. Maintain and optimise network configurations across VPCs, including transit gateways, subnets, routing, and security groups. Investigate and resolve operational issues, ensuring high availability and performance. Infrastructure Automation & IaC: Develop and maintain infrastructure-as-code (IaC) using Terraform, implementing reusable, secure modules. Drive improvements to automation workflows and configuration management. Contribute to the creation and lifecycle management of golden AMIs. Containerisation & Orchestration: Manage and optimise containerised workloads on Kubernetes (EKS). Use Helm to package and manage Kubernetes deployments. Implement and troubleshoot service mesh technologies such as Istio. Maintain and optimise container image lifecycle including security scanning within automated pipelines. CI/CD & Deployment Automation Design, maintain, and optimise CI/CD pipelines with tools such as ArgoCD, Jenkins, and Terraform Cloud. Automate deployment workflows, testing, and release processes to improve delivery speed and reliability. Monitoring, Observability & Reliability: Build and enhance monitoring, logging, and alerting systems using CloudWatch, Datadog, and other observability platforms. Contribute to SRE-style initiatives to improve system resilience, scalability, and fault tolerance. Security & Compliance Implement and enforce cloud security best practices, including identity and access management, encryption, and secrets governance. Manage key lifecycle and cryptographic operations using AWS KMS. Participate in vulnerability management processes and remediation work. Ensure infrastructure compliance with internal and external security standards. Collaboration & Documentation: Collaborate with developers, data teams, and platform engineering to ensure infrastructure meets product and compliance needs. Produce clear technical documentation, runbooks, and architectural diagrams. Contribute to knowledge sharing and help mentor associate engineers. AI & Automation: Use AI coding assistants (e.g. Claude Code, Copilot) for IaC development, script writing, troubleshooting — under team review standards. Contribute to automation of BAU workflows via AI-driven agents/skills (ticket triage, vuln scanning, upgrade checks, PR review). Evaluate AI-generated infrastructure changes for security/compliance risk before merge. Familiarity with prompt-based tooling and MCP (Model Context Protocol) integrations a plus — used for Jira, Confluence, Datadog, GitHub w