Visa
Sr. Systems Engineer
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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.
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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. 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 workflows.
- Contribute to internal AI tooling: writing/improving automation skills, evals, prompts for team's Copilot plugin marketplace.
Qualifications
Education & Qualifications
- Bachelor’s degree in computer science, Information Technology, or equivalent practical experience.
- Industry certifications in cloud or DevOps are a plus.
Required Skills & Experience
- Professional AWS experience operating production workloads.
- Strong hands-on knowledge of core AWS services (EC2, VPC, IAM, RDS, S3, etc.).
- Proficiency with Terraform and infrastructure-as-code patterns.
- Strong understanding of containerisation (Docker) and orchestration with Kubernetes.
- Experience building and maintaining CI/CD pipelines.
- Solid scripting experience using Python, Bash, or similar.
- Experience with monitoring/observability stacks (CloudWatch, Datadog, OpenTelemetry, etc.).
- Good understanding of networking fundamentals (DNS, routing, VPNs, load balancing, firewalls).
- Strong version-control discipline using GitHub or similar.
- Understanding of DevOps methodologies and cloud operational best practices.
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Desirable Skills & Experience
- Experience with Istio or other service mesh technologies.
- Exposure to GitOps workflows and tools such as Port.
- Familiarity with automated infrastructure deployment pipelines.
- Experience with project management tooling such as Jira.
- AWS certifications (Solutions Architect, SysOps, DevOps Engineer).
- Exposure to LLM-based dev tools, prompt engineering basics, or building/maintaining AI agent workflows.
Personal Attributes
- Strong analytical and troubleshooting skills.
- Proactive and able to work independently while collaborating effectively.
- Excellent communication skills.
- Strong planning, prioritisation, and organisational abilities.
- Comfortable challenging assumptions and contributing to architectural discussions.
- Ownership mindset with a drive to deliver high-quality solutions.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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