Senior Software Engineer

Job Summary As a Senior Software Engineer – Cloud Infrastructure, you will help build, operate, and scale mission-critical cloud services that support NetApp’s SaaS and IaaS offerings. You will work across the full service lifecycle—from design and deployment through production operations and continuous improvement—at the intersection of software engineering, infrastructure, and operations. You will improve reliability, scalability, and operational efficiency through automation, observability, and strong engineering practices. This role supports cloud-native services built on microservices and Kubernetes-based architectures and partners closely with NetApp teams and cloud providers including Microsoft Azure. This is a high-impact opportunity for an engineer who enjoys solving distributed-systems challenges, eliminating operational toil, and improving the resilience, performance, and security of cloud services at scale. Responsibilities Build automation to improve operational efficiency and reduce risk. Improve reliability, scalability, and deployment velocity for cloud services. Troubleshoot complex production issues across the full stack. Lead incident response and root cause analysis for critical service events. Monitor and optimize service health, availability, latency, and performance. Operate Kubernetes- and container-based cloud infrastructure. Provide advanced tier 2/3 support for cloud data services. Strengthen security posture and resolve complex security issues. Create and maintain runbooks and operational documentation. Influence architecture and implementation decisions through production insight. Job Requirements U.S. Citizenship or Permanent Residence with Green Card status mandatory. 8 years of experience in software, infrastructure, or site reliability engineering. Full-Stack Engineer Experience Required. Strong coding / scripting skills in Python, Go, or PowerShell. Deep experience with Linux, Kubernetes, containers, and distributed systems. Experience with Azure, AWS, or Google Cloud. Experience using Artificial Intelligence to accelerate automation development and optimize processes. Ability to derive actionable business intelligence from structured and unstructured logs, events, traces, and metrics using AI and MCP-enabled agentic workflows. Strong understanding of DevOps / SRE practices. Excellent troubleshooting skills across infrastructure and application layers. Education Bachelor of Science Degree in Computer Science, a master’s degree; or equivalent experience is required. Compensation: The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.aa415a4b-8b21-40fc-a65c-70d2b25ca29a