DevTest Engineer
Kaseya
Salary undisclosed
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Description
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.
SaaS Platform – DevTest Engineer
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—combining strong engineering fundamentals with AI-native development practices.
You will have the opportunity to shape not only our technology architecture, but also how engineering teams leverage AI to build high-quality software faster and more effectively.
Join the Kaseya growth rocket ship and see how we are #ChangingLives!
Job Summary
We are seeking a DevTest Software Engineer to drive automated quality engineering across cloud-native backend services, APIs, distributed systems, and SaaS platforms.
This role requires strong software engineering capabilities combined with deep expertise in automation, distributed-system testing, cloud infrastructure, and CI/CD integration. The ideal candidate can independently create scalable automation solutions while leveraging AI-assisted engineering practices to rapidly expand test coverage and improve development velocity.
What You Will Do
- Design and develop automation frameworks for backend services, APIs, event-driven systems, and distributed architectures.
- Build automated functional, integration, regression, contract, end-to-end, and performance test suites.
- Develop reusable testing libraries, utilities, and automation infrastructure.
- Validate cloud-native services deployed across AWS environments.
- Test microservices, messaging systems, APIs, databases, and cloud integrations.
- Design automation for resiliency, failover, scalability, and fault-tolerance scenarios.
- Verify system behavior under production-scale workloads.
- Integrate automated testing into CI/CD pipelines.
- Improve release confidence through shift-left quality practices.
- Build automation capable of executing efficiently in continuous delivery environments.
- Develop automation reporting, quality metrics, and release gating strategies.
- Participate in troubleshooting complex production issues.
- Analyze logs, traces, metrics, and application telemetry.
- Reproduce customer issues and translate findings into automated regression tests.
- Collaborate with software engineers to improve observability, reliability, and testability.
- Leverage AI coding assistants and coding agents to accelerate test creation and maintenance.
- Use AI tools for code analysis, automation generation, debugging, and test optimization.
- Establish best practices for validating AI-generated automation.
What You Bring
- 5+ years of software engineering, SDET, DevTest, or QA Automation experience.
- Strong programming skills in Java, Kotlin, C#, or equivalent languages.
- Experience developing automation for SaaS applications, APIs, backend services, or distributed systems.
- Strong understanding of - REST APIs, Messaging systems, Databases, Microservices, Event-driven architectures
- Experience building and maintaining automation frameworks such as Playwright, REST Assured, Postman, JUnit, TestNG, or equivalent.
- Strong familiarity with CI/CD pipelines and automated test execution environments.
- Experience with AWS or equivalent cloud platforms.
- Strong debugging, analytical, and problem-solving skills.
- Experience with SQL and NoSQL databases.
- Familiarity with observability tools, including logs, traces, and metrics platforms.
- Experience testing highly available, multi-tenant cloud platforms.
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.
About this role
Kaseya is looking for a DevTest Engineer to build and maintain comprehensive automation across their cloud-native SaaS platform. You'll design testing frameworks for backend services, APIs, microservices, and distributed systems—covering functional, integration, performance, and end-to-end scenarios. The work spans AWS infrastructure, CI/CD pipeline integration, and production-scale validation, with a focus on shift-left quality practices and continuous delivery efficiency. You'll also troubleshoot production issues, analyze system telemetry, and translate customer problems into automated regression tests.
This role demands strong software engineering fundamentals: five-plus years in SDET, DevTest, or QA automation work, plus fluency in languages like Java, Kotlin, or C#. You'll need hands-on experience with REST APIs, microservices, messaging systems, and databases, along with familiarity of frameworks such as Playwright, REST Assured, or TestNG. AWS experience, SQL/NoSQL knowledge, and comfort with observability tools are expected. The position also emphasizes using AI coding assistants and agents to accelerate test creation and maintenance—so comfort with AI-assisted development practices is part of the job.
This is a contract position based in Miami, requiring in-office presence. It suits someone who enjoys building scalable automation infrastructure, working across complex distributed systems, and collaborating with engineering teams to improve platform reliability and testability.
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Pay for this role
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