Senior Central Cloud Infrastructure Engineer

About the role

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it.

Responsibilities

• Architect, implement, and maintain scalable, reliable, and secure cloud infrastructure environments across multiple company products
• Design and manage infrastructure modernization initiatives (CI/CD, IaC, K8s, AI, etc) and lead the complex integration of legacy or established systems into modern, cloud-native environments
• Craft comprehensive disaster recovery strategies and engineer production-grade technical solutions to safeguard system uptime
• Serve as a technical focal point for troubleshooting, system deep-dives, and resolving infrastructure bottlenecks across both Linux and Windows operating systems
• Ensure global cloud environments continuously meet and exceed stringent security guidelines and technical compliance frameworks, specifically PCI and SOC2
• Lead incident response and root-cause analysis, and champion blameless postmortems and error-budget discipline across the team
• Provide technical leadership and guidance to junior and mid-level engineers, helping to scale the infrastructure team's overall technical competency

Requirements

• Hold a BS degree in Computer Science (or a relevant technical/engineering discipline) and 5+ years of hands-on experience, or equivalent professional experience (8+ years) working in high-growth cloud environments
• Demonstrate deep production-level technical experience using AWS, Terraform, Atmos, and Python (or equivalent automation language - Bash/Go)
• Demonstrate hands-on expertise with a modern observability stack (Datadog or equivalent: APM/distributed tracing, logs, metrics, RUM), including defining SLOs/SLIs and managing monitors-as-code
• Leverage production experience with service mesh and L7 proxies (Envoy/Istio) and Kubernetes ingress in high-throughput request paths
• Utilize advanced operational knowledge of Kubernetes/EKS, Helm, and overall container orchestration
• Apply strong secrets-management and rotation practices (Infisical, Vault, or AWS Secrets Manager) in a PCI/SOC2 context
• Showcase hands-on experience working with managed streaming data infrastructure via AWS MSK (Kafka) alongside various SQL and NoSQL AWS managed database solutions, including Amazon Aurora
• Maintain a strong understanding of cloud networking architecture, security protocols, and firewalls
• Exhibit expert competency managing, configuring, and troubleshooting Linux (and Windows where applicable) server environments
• Use excellent written and verbal communication skills to translate complex infrastructure concepts into clear, actionable technical documentation
• While not required, these are a plus:
• Possess previous experience working inside innovative, high-growth tech start-ups or fast-paced corporate engineering environments

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