Level

Visa

Sr. Systems Engineer - Linux, Python, Kbs, Containers, On-Prem, Platform Engineering

AI in this role

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

Key Responsibilities

Cloud Platform Engineering

  • Build, enhance, and maintain AWS cloud infrastructure and Kubernetes (EKS) platforms.
  • Design and develop reusable Infrastructure-as-Code (IaC) solutions using Terraform.
  • Support platform standardization, modernization, and cloud transformation initiatives.
  • Participate in Kubernetes cluster lifecycle activities, including provisioning, upgrades, maintenance, and troubleshooting.

Automation & DevOps

  • Develop and enhance CI-CD pipelines and automation workflows.
  • Build self-service capabilities for engineering teams.
  • Automate operational, governance, security, and compliance processes.
  • Create reusable platform modules and engineering blueprints.

Reliability & Operations

  • Participate in platform support, incident management, and root cause analysis.
  • Implement observability, monitoring, alerting, and operational readiness improvements.
  • Support production stability and drive reduction of operational toil.
  • Contribute to capacity planning and platform scalability initiatives.

Security & Compliance

  • Partner with Cybersecurity teams to implement security controls and remediation activities.
  • Support vulnerability management and platform hardening efforts.
  • Ensure infrastructure solutions align with enterprise security and compliance requirements.

Collaboration & Technical Leadership

  • Work closely with application teams to onboard workloads to cloud platforms.
  • Mentor junior engineers and promote engineering best practices.

Contribute to documentation, knowledge sharing, and operational runbooks.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 4-8 years of software engineering, cloud engineering, or platform engineering experience.
  • Strong experience working in Linux background.
  • Hands-on experience with On-Prem services.
  • Experience with Kubernetes and container technologies.
  • Strong experience with Terraform or other Infrastructure-as-Code frameworks.
  • Experience developing automation using Python, Go, Bash, or similar languages.
  • Understanding of CI-CD practices and DevOps methodologies.
  • Experience with Git-based source control and Agile development practices.
  • Strong troubleshooting and analytical skills.

Preferred Qualifications

  • Experience operating Amazon EKS platforms.
  • Experience with Kubernetes networking, service mesh, or ingress technologies.
  • Experience with GitOps tools such as ArgoCD.
  • Knowledge of observability platforms such as Grafana, Prometheus, Datadog, or Splunk.
  • Familiarity with policy-as-code and cloud governance frameworks.
  • Experience supporting production environments at enterprise scale.

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.

How we score this

Sr. Systems Engineer - Linux, Python, Kbs, Containers, On-Prem, Platform Engineering at Visa scores 23 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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