Infrastructure Engineer III

Responsibilities

• Embed with application, cloud, and platform engineering teams to understand workloads, architecture, infrastructure requirements, and barriers to cloud adoption.
• Perform hands-on technical deep dives across applications and infrastructure, including compute, Kubernetes, networking, storage, identity, security, observability, CI/CD, and cloud services .
• Work as a hands-on solutions architect: assess existing architectures, identify gaps, design target-state solutions, build prototypes, and work alongside engineers through implementation.
• Use AI-assisted and agentic engineering approaches to accelerate cloud architecture, infrastructure configuration, deployment, troubleshooting, and operational readiness.
• Build practical AI-powered tools and automation that help engineers understand environments, generate and validate infrastructure configurations, troubleshoot cloud issues, and navigate enterprise cloud platforms.
• Help application teams become cloud-ready by addressing infrastructure dependencies, deployment patterns, security controls, networking, observability, resiliency, and operational requirements.
• Develop reference implementations and working examples that demonstrate how applications can successfully consume AWS, GCP, Azure, Kubernetes, and enterprise platform capabilities.
• Troubleshoot complex infrastructure problems end-to-end, following issues across applications, Kubernetes, cloud services, networking, IAM, configuration, telemetry, and deployment pipelines.
• Help teams apply cloud-native patterns across compute, containers, serverless, storage, networking, APIs, and event-driven architectures .
• Use AI to simplify infrastructure consumption and create more intelligent developer self-service experiences , reducing the expertise and manual effort required for teams to use cloud platforms.
• Partner with cloud security, network engineering, SRE, operations, FinOps, and platform teams to develop solutions that meet enterprise requirements for security, reliability, scalability, and cost efficiency.
• Turn lessons learned from individual engineering engagements into reusable automation, patterns, tools, and platform capabilities that benefit the broader engineering community.