Sr. Systems Engineer - Cloud Infrastructure Engineering (Kubernetes)

TL;DR

Sr. Systems Engineer - Cloud Infrastructure Engineering (Kubernetes): Building secure, scalable, and automated cloud infrastructure and Kubernetes platforms for enterprise workloads with an accent on infrastructure as code, observability, reliability, and cost optimization. Focus on designing multi-cloud environments, standardizing Kubernetes-as-a-Service, integrating CI/CD and security tooling, and supporting AI and data-intensive workloads.

Location: Hybrid position in Ashburn, Virginia, United States, with at least 3 days in the office. Travel is required 5–10% of the time.

Salary: $110,700–$171,800 USD per year, with potential bonus and equity eligibility.

Company

Global payments technology company facilitating transactions for consumers, merchants, financial institutions, and governments across more than 200 countries and territories.

What you will do

• Design, implement, and maintain secure, scalable, automated cloud infrastructure for enterprise-scale systems.
• Guide infrastructure decisions across AWS, Azure, and GCP based on performance, cost, availability, and security requirements.
• Develop reusable Infrastructure as Code modules, CI/CD templates, foundational cloud services, and enterprise provisioning standards.
• Standardize and harden Kubernetes platforms, including automated scaling, high availability, and GitOps workflows.
• Integrate monitoring, APM, logging, SIEM, configuration management, and orchestration tools to improve observability and compliance.
• Provide technical guidance and support the integration of AI agents and data-intensive workloads into cloud-native environments.

Requirements

• Hybrid work in Ashburn, Virginia, with at least 3 office days required.
• At least 2 years of relevant experience with a bachelor's degree, or 5+ years of relevant experience; 3+ years of cloud infrastructure, DevOps, or SRE experience preferred.
• Professional experience with AWS, Azure, or GCP, including networking, compute, storage, databases, and multi-account or multi-region environments.
• Strong knowledge of Linux/UNIX and Windows Server, plus Python, Bash, or PowerShell scripting.
• Experience with Terraform, Pulumi, CloudFormation, Ansible, CI/CD pipelines, containers, Kubernetes, and ArgoCD.
• Knowledge of cloud security, IAM, CIS Benchmarks, vulnerability scanning, compliance, monitoring, and observability tools.

Nice to have

• Experience supporting AI agents, workflow orchestration, tool-calling patterns, or Model Context Protocol concepts.
• Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.
• Experience with CloudWatch, Azure Monitor, GCP Operations Suite, Prometheus, and Grafana.

Culture & Benefits

• Work in an enterprise infrastructure organization focused on reliability, security, innovation, and developer productivity.
• Collaborate with engineering, security, operations, vendors, and internal stakeholders.
• Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
• Work hours vary according to department needs.
• Opportunities for technical mentorship and continuous learning in cloud, DevOps, and AI technologies.