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Workato

Workato

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Tech AI Startup

Senior Software Engineer (Distributed systems)

Lisbon, Portugal; Porto, Portugal

Posted on Apr 13, 2026

Full TimeSeniorOn SiteProduct & Engineering

Job Description

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at 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

About Workato

Workato is the leading Enterprise Automation Platform. Workato enables both business and IT teams to integrate their apps and automate business workflows without compromising security and governance. It enables companies to drive real time outcomes from business events.

There is no coding required, and the platform utilizes Machine Learning and patented technology to make the creation and implementation of automations 10X faster than traditional platforms.

Job overview

Employment type

Full Time

Experience level

Senior

Work type

On Site

Department

Product & Engineering

Posted

on Apr 13, 2026

About

Job Link

job-boards.greenhouse.io

Financials

Type

private

Annual Revenue

--

Market Cap

--

Amount Raised

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