Senior Software Engineer (Distributed systems) at Workato

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

19 Aug, 26

Salary

0.0

Posted On

21 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, C, Go, Rust, L2/L3/L4 Networking, Linux Networking, eBPF, Kubernetes, AWS, Azure, Google Cloud, Data Pipelines, API Design, Debugging, Optimization, Systems Programming

Industry

Software Development

Description

About Workato 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. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” 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 Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team. Responsibilities Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance Contribute in all phases of the development lifecycle Write well designed, testable, efficient code Evaluate and propose improvements to existing system Requirements 5+ years of industry experience Experience building and shipping large-scale, reliable, highly distributed systems 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 Excellent debugging and optimization skills 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 Attention to detail and ability to solve complex customer problems Own solutions end-to-end and driving the design, development, and deployment process Able to work across teams and level common, sustainable solutions

Responsibilities

Design and develop high-volume, low-latency applications and a high-performance queuing/storage engine for mission-critical systems. Collaborate with UI, connectivity, and DevOps teams to build scalable API interfaces and enterprise-grade distributed systems.