Senior Software Engineer

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 – AI-Native Engineering, Java & Distributed Systems   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.   As a Senior Software Engineer, you will play a key role in designing and delivering scalable cloud-based software solutions while leveraging AI-powered development tools to improve quality, productivity, and engineering effectiveness.   Join the Kaseya growth rocket ship and see how we are #ChangingLives!    Job Summary   We're hiring a Senior Software Engineer to design, build, and operate backend services and SaaS platform capabilities.   This role is for an engineer with strong expertise in Java, distributed systems, cloud technologies, and software design who embraces an AI-native approach to software development .   You will contribute to architecture decisions, lead moderately complex technical initiatives, mentor engineers, and remain actively involved in implementation. You will leverage AI coding tools, including Claude Code , throughout the software development lifecycle, including system understanding, solution design, implementation, testing, debugging, code review, documentation, and modernization efforts.   Roles & Responsibilities   Design, develop, test, deploy, and support Java-based services, APIs, and distributed applications   Lead technical implementation of medium-to-large engineering initiatives within a product area   Participate in architecture and design discussions and contribute to technical decision-making   Remain hands-on through coding, troubleshooting, code reviews, testing, and production support   Leverage AI coding tools such as Claude Code to improve development efficiency and software quality   Apply AI-assisted techniques for code generation, testing, debugging, documentation, and codebase exploration   Help establish best practices for responsible use of AI-generated code   Contribute to modernization of legacy systems through refactoring, automation, and AI-assisted development workflows   Collaborate with Product, Engineering, Security, and Architecture teams to deliver scalable solutions   Support cloud-native architectures, microservices, integrations, and shared platform capabilities   Drive improvements in performance, reliability, observability, security, and maintainability   Mentor Software Engineers through technical guidance, code reviews, and collaborative development   Evaluate new technologies and engineering practices that can improve product quality and team productivity   Design, implement, and maintain CI/CD pipelines that automate build, testing, security scanning, deployment, and release processes   Partner with DevOps and platform teams to improve deployment reliability, release velocity, and developer experience   Promote engineering best practices around continuous integration, continuous delivery, infrastructure automation, and release management   Drive adoption of automated quality gates, test automation, and deployment validation within software delivery pipelines   Required Qualifications   7+ years of software engineering experience building SaaS applications, distributed systems, or enterprise platforms   4+ years of experience developing backend services using Java   Strong coding skills with demonstrated experience designing, implementing, debugging, and supporting production software   Experience leading significant technical projects or major features from design through production   Experience building and operating systems on AWS, Azure, or GCP   Experience with code reviews, software design, testing strategies, and engineering best practices   Demonstrated experience using AI-assisted coding tools as part of software engineering workflows   Ability to leverage AI effectively for development, testing, debugging, documentation, and productivity improvements   Strong understanding of software engineering fundamentals and ability to validate and improve AI-generated code   Strong communication and collaboration skills   Experience building and maintaining CI/CD pipelines in modern software development environments   Strong understanding of continuous integration, continuous delivery, automated testing, release automation, and deployment best practices   Experience with source control and CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar technologies