This engineer is expected to lead by example through hands-on contributions, deep technical expertise, and cross-team influence, particularly in the area of infrastructure bootstrap orchestration and automation at scale.

Key Responsibilities:

Platform Ownership & Reliability:

Own the end-to-end lifecycle (design, provisioning, upgrades, and decommissioning) of core platform components, including:

• Cloud infrastructure primitives
• Kubernetes clusters and cluster services
• Networking, ingress, and service discovery
• Service Mesh and supporting data-plane components

Ensure platform components are resilient by design, applying SRE principles such as:

• Fault isolation and graceful degradation
• Capacity planning and saturation control
• Reduced operational toil and clear failure modes
• Continuously assess and mitigate reliability risks, proactively improving platform stability and operational readiness.

Infrastructure Bootstrap & Automation Leadership:

Lead the design and implementation of infrastructure bootstrap orchestration, including:

• Automated cluster and environment provisioning
• Deterministic, repeatable platform bring-up and teardown
• Dependency-aware orchestration across cloud, network, and Kubernetes layers

Drive a strong Infrastructure-as-Code and Git Ops-first approach, ensuring:

• Platform components are reproducible and auditable
• Changes are automated, testable, and reversible
• Manual intervention is minimized or eliminated
• Identify automation gaps and lead initiatives that significantly reduce human effort, onboarding time, and operational risk.

SRE Practices & Operational Excellence:

Apply and promote SRE practices across the platform, including:

• Clear ownership and runbooks for platform components
• Participation in on-call rotation as a platform reliability escalation point
• Incident response, post-incident reviews, and problem management

Improve platform operability by:

• Simplifying day-2 operations
• Standardizing upgrade and rollback strategies
• Reducing Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR)
• Ensure platform operations align with security, compliance, and internal control requirements.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Strong hands-on experience with:

• Public Cloud platforms (AWS preferred, Azure)
• Kubernetes at scale, previous experience administrating productive Kubernetes environments
• Service Mesh technologies (e.g., Istio preferred, App Mesh, Linkerd)

Strong understanding of:

• Observability tooling and Golden Signals concepts
• Incident management concepts and oncall operations
• Infrastructure as Code (e.g., Terraform)
• Cloud-Native containerized micro-services architecture
• Strong collaboration and communication skills.

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.

Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.

Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.

Pismo’s 500+ employees are located in more than 10 countries around the world.