Senior Software Engineer – DevTest / QA Automation
About Kaseya
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.
Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.
Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.
We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.
At Kaseya, we don't just raise the bar. We build it.
Senior Software Engineer – Java, Distributed Systems & DevTest
Why Kaseya?
Join a fast-growing company transforming the IT management and cybersecurity industry. At Kaseya, we are modernizing how software is designed, built, tested, and operated by combining strong engineering fundamentals with AI-native development practices.
As a Senior Software Engineer, you will help build scalable cloud-based software while improving engineering quality through automated testing, modern development practices, and AI-assisted engineering.
Join the Kaseya growth rocket ship and see how we are #ChangingLives!
Job Summary
We are seeking a Senior Software Engineer with strong Java backend development experience and a passion for building reliable, well-tested software.
This is a hands-on software engineering role focused on developing and operating distributed backend services, APIs, and SaaS platform capabilities, with additional responsibility for improving automated testing, test infrastructure, and engineering quality.
The ideal candidate combines strong software engineering fundamentals with practical experience designing automated tests, building reusable testing frameworks, and integrating quality engineering into the software development lifecycle.
You will contribute to technical design, implement production software, troubleshoot complex issues, and use AI-assisted development tools to accelerate implementation, testing, debugging, and codebase modernization.
Roles & Responsibilities
Software Engineering & Development
Design, develop, test, deploy, and support Java-based backend services, APIs, and distributed applications.
Build scalable, reliable, and maintainable software using Java, Spring Boot, and modern backend engineering practices.
Contribute to architecture decisions, technical designs, and implementation of complex engineering initiatives.
Develop and maintain microservices, integrations, and event-driven applications.
Remain hands-on through coding, debugging, code reviews, testing, and production troubleshooting.
Improve application performance, scalability, reliability, and maintainability.
Participate in modernization initiatives involving refactoring, dependency upgrades, and improvements to existing systems.
DevTest & Quality Engineering
Design and implement automated testing solutions for backend services, APIs, integrations, and distributed systems.
Develop reusable test frameworks, testing libraries, utilities, and supporting automation infrastructure.
Build automated unit, integration, regression, API, contract, and system-level tests.
Improve test coverage, testability, and release confidence across existing and new software components.
Develop automated validation for asynchronous processing, event-driven workflows, failure recovery, and distributed-system behaviour.