Senior Software Engineer designing and implementing enterprise deployment infrastructure for cloud applications. Collaborating with Platform Engineering, Security, and Sales to meet enterprise needs.
Responsibilities
Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires.
Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures.
Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems.
Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data.
Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations.
Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable.
Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments.
Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities.
Requirements
4+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles.
Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code.
Experience with Kubernetes and cloud-native technologies in production environments.
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