Senior Staff 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 Staff 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 Staff Engineer, 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’re hiring a Senior Staff Software Engineer to provide hands-on technical leadership across our SaaS platforms and shared backend services.

This role is for an engineer who combines deep expertise in Java, distributed systems, cloud architecture, and software design with a modern, AI-native approach to software engineering.

You will lead complex initiatives across multiple teams, influence architecture and engineering standards, and remain deeply involved in implementation. You will also help define how engineering teams effectively use AI coding tools, including Claude Code, throughout the software development lifecycle—from understanding existing systems and designing solutions to implementation, testing, debugging, code review, documentation, and modernization.

This is not a purely architectural role. We are looking for a technical leader who designs, codes, prototypes, reviews, mentors, and leads by example.

Roles & Responsibilities

Define and drive architecture for Java-based platform services, distributed systems, APIs, and event-driven applications across multiple product areas

Lead complex technical initiatives spanning multiple engineering teams, services, and business domains

Remain highly hands-on through architecture, prototyping, implementation of critical components, code reviews, debugging, and production troubleshooting

Champion AI-native software engineering practices, using AI coding tools such as Claude Code to improve developer productivity, code quality, testing, debugging, documentation, and system understanding

Establish effective patterns and guardrails for using AI-generated code in production engineering environments

Help engineering teams evolve from traditional development workflows toward AI-assisted and agentic software development

Identify opportunities where AI can accelerate modernization of legacy systems, test creation, refactoring, migration, and technical debt reduction

Partner with Product, Engineering, Security, and Architecture leaders to translate business priorities into scalable technical solutions

Guide the evolution of cloud-native architectures, microservices, data flows, integrations, and shared platform capabilities

Drive improvements in system performance, availability, observability, security, and operational readiness

Establish engineering standards and reusable patterns for Java development, API design, testing, CI/CD, AI-assisted development, and production operations

Mentor Senior and Staff Engineers through architecture reviews, technical guidance, hands-on collaboration, and modern AI-enabled engineering practices

Evaluate emerging engineering and AI technologies and determine where they can meaningfully improve our products and engineering organization

Required Qualifications

10+ years of software engineering experience building production SaaS applications, distributed systems, or enterprise software platforms

6+ years of experience developing production backend services using Java

Strong hands-on coding skills and the ability to design, implement, review, debug, and operate complex production software

Proven experience providing technical leadership across multiple engineering teams or product areas

Experience designing and operating distributed systems on AWS, Azure, or GCP

Experience leading architecture reviews and establishing engineering standards or practices adopted across multiple teams

Demonstrated experience using AI-assisted coding tools as part of real software engineering workflows

Ability to use AI effectively for code generation, codebase exploration, refactoring, testing, debugging, documentation, and technical problem-solving

Strong understanding of software engineering fundamentals and the ability to critically review, validate, test, and improve AI-generated code

Ability to mentor engineers and influence technical direction without relying solely on organizational authority

Preferred Qualifications

Hands-on experience with Claude Code or similar agentic AI coding tools

Experience with Java technologies such as Spring Boot, Spring Cloud, Hibernate, Kafka, or similar frameworks

Experience designing cloud-native, microservices-based, or event-driven architectures

Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle

Experience leading platform modernization, cloud migration, or large-scale re-architecture initiatives

Experience using AI to accelerate modernization of large or legacy codebases

Experience improving reliability, observability, performance, testing, or operational practices across production systems

Experience integrating AI-enabled capabilities, LLMs, agents, or AI services into production software

Experience developing engineering standards, workflows, or guardrails for AI-assisted software development

Familiarity with modern AI engineering concepts such as LLM APIs, tool use, agents, RAG, evaluation, and prompt/context engineering

Experience measuring and improving engineering productivity using AI-enabled development workflows

What Success Looks Like

A successful Senior Staff Engineer at Kaseya does more than design systems. You will:

Build: Stay close to the code and deliver critical technical solutions.

Lead: Set technical direction and drive complex initiatives across teams.

Modernize: Improve architecture, engineering practices, and legacy systems.

Amplify: Use AI to increase the effectiveness and velocity of engineering teams.

Mentor: Raise the technical capabilities of engineers around you.

Own: Take responsibility for solutions from architecture and implementation through production operation.

We are looking for engineers who see AI not as a replacement for engineering fundamentals, but as a powerful multiplier for exceptional engineers.

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 informationKaseya 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.