About this Staff Software Engineer role at Kaseya Careers
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 has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.
At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.
Job Title:
Staff Software Engineer, Platform Engineering
Why Kaseya?
Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.
Join the Kaseya growth rocket ship and see how we are #ChangingLives!
Job Summary
We’re hiring a Principal Software Engineer to guide the design and evolution of large-scale platform systems across Kaseya’s engineering organization. This role focuses on distributed systems, cloud-native architecture, platform reliability, and the adoption of AI-assisted engineering practices that improve developer productivity and product quality. You will work across multiple teams to shape technical direction, modernize systems, reduce technical debt, and deliver scalable, reliable software platforms.
Roles & Responsibilities
- Lead the design and evolution of large-scale distributed systems and platform architectures
- Define technical direction across teams for scalability, reliability, maintainability, and operational excellence
- Drive adoption of AI-assisted development practices that improve engineering velocity, code quality, and delivery outcomes
- Partner with Product and Engineering leadership to shape technical priorities, roadmap decisions, and platform modernization efforts
- Lead architecture discussions, design reviews, code reviews, and technical planning across multiple teams
- Improve observability, monitoring, incident response, and reliability practices across production systems
- Identify systemic technical issues, reduce technical debt, and guide re-platforming or modernization initiatives
- Mentor engineers and technical leads through architectural guidance, technical feedback, and engineering best practices
Required Qualifications
- 8+ years of software engineering experience building production applications or platform services
- Experience leading technical design or architecture decisions across multiple teams or services
- Experience designing and operating distributed systems in cloud environments using AWS, Azure, or GCP
- Experience building full-stack applications, APIs, or platform services using Rust, C#, JavaScript, or similar technologies
- Experience supporting production systems, including observability, incident response, root cause analysis, and reliability improvements
Preferred Qualifications
- Experience with authentication and authorization technologies such as OAuth 2.0, OIDC, or SAML
- Experience with containerization and orchestration technologies such as Docker and Kubernetes
- Experience with infrastructure-as-code tools such as Terraform, Pulumi, or Bicep
- Experience with CI/CD pipelines, automated testing, and progressive deployment strategies
- Experience with relational and non-relational data stores and related architecture trade-offs
- Experience leading secure coding, threat modeling, or vulnerability remediation initiatives
- Experience introducing AI-assisted development tools or workflows across engineering teams
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.
