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.
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 SummaryWe 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 & ResponsibilitiesSoftware 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.
Integrate automated tests into CI/CD pipelines and continuous delivery workflows.
Investigate test failures, identify root causes, and improve the reliability and maintainability of automated testing.
Work closely with engineers to establish effective testing strategies and reduce defects reaching production.
AI-Native Engineering
Leverage AI coding tools, including Claude Code or equivalent technologies, to support development, testing, debugging, and codebase analysis.
Use AI-assisted techniques to accelerate automated test creation, code generation, refactoring, and documentation.
Review and validate AI-generated code and tests to ensure correctness, maintainability, and reliability.
Identify opportunities to improve engineering productivity through automation and AI-assisted workflows.
Production Engineering & Delivery
Build and maintain CI/CD pipelines supporting automated builds, testing, deployment, and release processes.
Troubleshoot production issues using logs, metrics, tracing, and application diagnostics.
Support cloud-native services operating across AWS, Azure, or GCP environments.
Collaborate with DevOps, Platform, Product, Security, and other engineering teams to improve software delivery.
Participate in code reviews, technical discussions, and mentoring of other engineers.
Take ownership of engineering solutions from design and implementation through deployment and production support.
7+ years of professional software engineering experience developing backend applications, SaaS platforms, or distributed systems.
4+ years of hands-on Java backend development experience.
Strong experience with Java, Spring Boot, REST APIs, and backend service development.
Experience designing, implementing, debugging, and supporting production software.
Experience with microservices, distributed systems, or event-driven architectures.
Strong understanding of software engineering fundamentals, including object-oriented design, data structures, concurrency, asynchronous processing, and system design.
Hands-on experience developing automated tests for backend services, APIs, or distributed applications.
Experience building or extending automated testing frameworks, test libraries, or reusable testing utilities.
Strong understanding of unit, integration, regression, API, and system-level testing.
Experience developing and maintaining CI/CD pipelines with automated test execution.
Experience building and operating production applications on AWS, Azure, or GCP.
Experience troubleshooting application failures, debugging code, and investigating production issues.
Experience using AI-assisted development tools to support coding, testing, debugging, or software maintenance.
Ability to independently own technical deliverables from design through production support.
Deep experience with Java, Spring Boot, Spring Cloud, Hibernate, or similar backend frameworks.
Experience with Kafka, RabbitMQ, or other distributed messaging technologies.
Experience testing asynchronous systems, event-driven architectures, and distributed workflows.
Experience with JUnit, Mockito, Testcontainers, REST Assured, WireMock, or equivalent testing technologies.
Experience developing reusable automation frameworks or improving automated test infrastructure.
Experience with Docker, Kubernetes, or containerized testing environments.
Experience with PostgreSQL, MySQL, SQL Server, Oracle, or other relational databases.
Experience with Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent CI/CD technologies.
Experience implementing automated quality gates, test reporting, and deployment validation.
Experience with performance, load, resilience, or reliability testing.
Experience improving observability, monitoring, and production diagnostics.
Experience using Claude Code or other AI coding agents for development, automated test generation, debugging, and codebase modernization.
Experience mentoring engineers or contributing to technical standards across a development team.
A successful Senior Software Engineer at Kaseya:
Builds: Delivers reliable, scalable Java backend services and software capabilities.
Owns: Takes responsibility for software from technical design through production operation.
Tests: Builds meaningful automated testing capabilities that improve product quality and release confidence.
Improves: Strengthens testability, reliability, performance, and maintainability across existing systems.
Accelerates: Uses AI-assisted development practices to improve delivery speed and automated test coverage.
Mentors: Helps establish strong engineering and quality practices across the team.
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
- 5+ years of software engineering, SDET, DevTest, or QA automation experience with strong programming skills
- Programming experience in Java, C#, Python, JavaScript, TypeScript, or a similar language
- Experience building automation frameworks, test libraries, reusable testing components, and automation infrastructure
- Understanding of object-oriented programming, data structures, APIs, databases, debugging, and version control
- Experience developing automated tests for APIs, backend services, web applications, distributed systems, or enterprise software
- Strong experience with CI/CD pipelines, automated test execution, CI/CD runners, and build or deployment infrastructure
- Hands-on experience with AWS or another cloud environment
- Experience troubleshooting application and production issues using logs, metrics, traces, database queries, and code-level debugging
- Ability to independently understand existing codebases and build significant automated test coverage
- Experience using AI-assisted development tools or coding agents in engineering and test automation work
- Strong analytical, debugging, test design, regression testing, and automation reliability skills
- Ability to collaborate with engineering and cross-functional teams
- Willingness to support production issue reproduction and troubleshooting outside standard working hours when required
- Experience with enterprise SaaS, IT management, cybersecurity, endpoint management, RMM, or complex software platforms
- Deep experience with AWS services and cloud-hosted, data-center-hosted, or hybrid environments
- Experience designing and maintaining large-scale SDET or DevTest automation frameworks
- Experience with API automation, integration testing, contract testing, service virtualization, or distributed-system testing
- Experience with Selenium, Playwright, Cypress, REST-assured, pytest, JUnit, TestNG, or equivalent technologies
- Experience with Docker, Kubernetes, or containerized test environments
- Experience with Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent CI/CD platforms
- Experience with SQL and relational databases for test validation and production troubleshooting
- Understanding of application security, scalability, reliability, observability, and distributed-system behavior
- Experience building scalable, reliable automation with low flakiness and maintenance overhead
Kaseya Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kaseya and has not been reviewed or approved by Kaseya.
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Leave & Time Off Breadth — PTO is commonly described around 20–21 days per year plus standard holidays. Some indicate they can fully disconnect while on leave.
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Equity Value & Accessibility — Equity or option grants are available to many roles, offering potential upside beyond base pay. This exposure is presented as a meaningful component of total compensation for some roles.
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Affordable Benefits — The high‑deductible medical plan is described as having low or employer‑covered employee‑only premiums in some cases. This can reduce out‑of‑pocket costs for those who select the HDHP.
Kaseya Insights
What We Do
Kaseya is a premier provider of unified IT management and security software for managed service providers (MSPs) and small to medium-sized businesses (SMBS). Through its customer-centric approach, Kaseya delivers best-in-breed technologies that allow organizations to efficiently manage, secure and backup IT. Kaseya offers a broad array of IT management solutions, including well-known names: Kaseya, IT Glue, RapidFire Tools, Spanning Cloud Apps, ID Agent, Graphus, RocketCyber, TruMethods and Unitrends. These solutions empower businesses to command all of IT centrally, easily manage remote and distributed environments, simplify backup and disaster recovery, safeguard against cybersecurity attacks, effectively manage compliance and network assets, streamline IT documentation and automate across IT management functions. Headquartered in Miami, Florida, Kaseya is privately held with a presence in over 20 countries.
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