Senior Staff Software Engineer

The role

You will provide hands-on technical leadership across SaaS platforms and shared backend services. You will design, code, and lead complex initiatives while defining how engineering teams use AI coding tools.

What you will do

• Define and drive architecture for Java-based platform services, distributed systems, APIs, and event-driven applications
• Lead complex technical initiatives spanning multiple engineering teams, services, and business domains
• Remain highly hands-on through architecture, prototyping, implementation, code reviews, debugging, and production troubleshooting
• Champion AI-native software engineering practices using AI coding tools
• Establish effective patterns and guardrails for using AI-generated code in production
• Help engineering teams evolve toward AI-assisted and agentic software development
• Identify opportunities where AI can accelerate modernization of legacy systems, testing, and technical debt reduction
• Partner with Product, Engineering, Security, and Architecture leaders to translate business priorities into technical solutions
• Guide the evolution of cloud-native architectures, microservices, and shared platform capabilities
• Mentor Senior and Staff Engineers through architecture reviews and technical guidance

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

Nice to have

• 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

About the company

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Founded in 2000, the company supports customers in more than 20 countries and manages over 15 million endpoints.