Senior Software Engineer, Infrastructure - Core Infra Systems

Coinbase is on a mission to increase economic freedom and is seeking a Senior Software Engineer on the Core Infra Systems team. In this role, you will work on cloud and networking foundations, focusing on building self-service tooling, driving infrastructure standardization, and ensuring security and compliance across multi-cloud environments.

Responsibilities:

• Own cross-cutting infrastructure initiatives that span the AWS, GCP, and Networking pillars inside Core Infra Systems, driving alignment on standards, tooling, and operational patterns
• Build and maintain self-service tooling and paved-road defaults that let product teams provision and operate cloud infrastructure safely without deep platform expertise
• Partner with Compute, Infra Security, and Routing teams to embed guardrails into infrastructure provisioning, ensuring every default meets Coinbase's bar for security, compliance, and reliability
• Drive infrastructure standardization across Coinbase's multi-cloud environment, reducing fragmentation and improving consistency in how teams consume cloud networking, compute, and shared platform primitives
• Lead technical investigations and operational improvements across infrastructure boundaries, working with broader stakeholders to resolve systemic issues and scale foundational systems

Requirements:

• 5+ years of software engineering experience, with 3+ years building and operating production cloud infrastructure on AWS and/or GCP (networking, compute, or platform engineering)
• Hands-on experience with cloud networking primitives such as VPCs, transit gateways, DNS, load balancers, and infrastructure-as-code tools (e.g., Terraform, Pulumi)
• Proficiency in at least one backend language (e.g., Go, Python) used to build platform tooling and automation at scale
• Demonstrated ability to drive cross-team technical initiatives, partnering across multiple infrastructure domains to deliver cohesive, production-ready outcomes
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality