Software Engineer

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers We are looking for a Senior / Staff Software Engineer with a strong background in systems programming, Linux internals, performance optimization, and workload isolation. This is not a typical backend, DevOps, SRE, or infrastructure engineering role. We need someone who can work across multiple layers of the system stack, from Linux kernel mechanisms and networking to application-level services and security controls. The ideal candidate has experience designing, implementing, and optimizing complex systems where security, isolation, and performance are equally important. Linux kernel-adjacent systems Cloud infrastructure internals Performance engineering Networking infrastructureSecurity-focused systems programming Linux security frameworks Working with Linux security primitives such as namespaces, cgroups, seccomp, permissions and access controls Improving networking performance and traffic management Driving technical projects from architecture and requirements gathering through implementation and production rollout Systems-level programming experience, especially in C, Go, Rust ~ Expertise in L2, L3, and/or L4 networking protocols ~ Good understanding of Linux networking and security ~ Experience building on top of Linux kernel networking primitives - netfilter, nftables, eBPF, tc, network namespaces, etc. ~ Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis ~ Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud) ~ Understanding of Kubernetes concepts ~ Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet ~ Contributions to open source projects is a plus ~ Excited by the idea of optimizing complex solutions to general problems ~ Own solutions end-to-end and driving the design, development, and deployment process ~