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Senior Software Engineer, Core Infra Systems

Coinbase - Remote - Remote - posted 2026-09-09

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Salary: USD 186,065 - 218,900 / annual

Coinbase is seeking a Senior Software Engineer to join the Core Infra Systems team within the Platform group. This role focuses on building and maintaining the cloud and networking foundations that enable Coinbase engineers to operate reliably at scale. You will own cross-cutting infrastructure initiatives spanning AWS, GCP, and networking pillars, driving alignment on standards, tooling, and operational patterns across the organization. A key responsibility is building and maintaining self-service tooling and paved-road defaults that allow product teams to provision and operate cloud infrastructure safely without requiring deep platform expertise. You'll partner closely with Compute, Infra Security, and Routing teams to embed guardrails into infrastructure provisioning, ensuring every default meets Coinbase's standards for security, compliance, and reliability. You'll 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. The role involves leading technical investigations and operational improvements across infrastructure boundaries, working with broader stakeholders to resolve systemic issues and scale foundational systems. Required qualifications include 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). You should have hands-on experience with cloud networking primitives such as VPCs, transit gateways, DNS, load balancers, and infrastructure-as-code tools like Terraform or Pulumi. Proficiency in at least one backend language (Go, Python) for building platform tooling and automation at scale is essential. You must demonstrate the ability to drive cross-team technical initiatives, partnering across multiple infrastructure domains to deliver cohesive, production-ready outcomes. Experience using generative AI responsibly with human oversight is valued.

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