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 were 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 youre in engineering product sales marketing customer support or operations your work helps protect defend and optimize IT environments across the globe.

Were building teams that grow perform and make an impact. If youre driven by the itch to make things better - a product a process a career - youll fit right in.

At Kaseya we dont 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

Were 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.