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
Preferred Qualifications
Hands-on experience with Claude Code or similar AI coding tools
Experience with Spring Boot, Spring Cloud, Hibernate, Kafka, or similar technologies
Experience with cloud-native, microservices-based, or event-driven architectures
Experience with PostgreSQL, MySQL, SQL Server, or Oracle
Experience contributing to modernization or migration initiatives
Experience improving observability, testing, reliability, and operational excellence
Experience integrating AI-enabled capabilities, LLMs, agents, or AI services into software products
Familiarity with modern AI engineering concepts such as LLM APIs, tool use, agents, RAG, evaluation, and prompt engineering
Experience implementing CI/CD pipelines for microservices and cloud-native applications
Experience integrating security scanning, quality gates, automated testing, and observability into deployment pipelines
Experience with Infrastructure as Code technologies such as Terraform, CloudFormation, or similar tools
What Success Looks Like
A successful Senior Software Engineer at Kaseya does more than deliver code. You will:
Build: Deliver high-quality technical solutions and software features.
Influence: Contribute technical expertise to architectural and design decisions.
Modernize: Improve systems, engineering practices, and development workflows.
Accelerate: Use AI to improve engineering velocity and quality.
Mentor: Support and elevate engineers across the team.
Own: Take responsibility for solutions from development through production operations.
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.
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.