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.
Responsibilities
- Leading the design and evolution of large-scale systems and architectures to support long-term scalability, reliability, and maintainability across the platform.
- Leading the adoption of AI-assisted development practices across teams, identifying where AI creates meaningful leverage, and connecting those capabilities directly to engineering velocity, product quality, and measurable business outcomes.
- Defining and guiding the technical vision and strategy across teams, aligning engineering efforts with long-term product and organizational goals.
- Partnering with engineering and product leadership to shape technical priorities and influence roadmap decisions.
- Navigating ambiguous problem spaces, defining technical approaches, and driving clarity and alignment across teams.
- Influencing technical direction across multiple teams by leading alignment on architecture, design patterns, and best practices.
- Providing guidance through code reviews and technical feedback to ensure high standards for code quality, maintainability, and design.
- Driving resolution of complex technical issues and identifying systemic patterns to prevent recurrence.
- Ensuring system health, availability, and reliability by driving improvements in observability, monitoring, and operational practices.
- Leading the strategy for reducing technical debt and modernizing existing systems, including defining re-platforming approaches and driving execution across teams.
- Guiding the development of tooling and platform improvements to enhance developer productivity and engineering efficiency across teams.
- Maintaining and promoting shared architectural knowledge of platform features and system evolution.
- Providing technical leadership and mentorship to engineers across teams to deliver high-quality software solutions.
- Communicating with cross-functional teams, including but not limited to Technical Support, QA, Design, Documentation, and Product Management.
- Acting as an agent of change by identifying gaps in processes and advocating for improvements that increase team efficiency and product quality.
- Promoting a culture of engineering excellence through mentorship, technical guidance, and leading by example.
Requirements
- B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 8+ years of professional software engineering experience, with a demonstrated track record of technical leadership across complex, cross-team initiatives.
- Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices.
- Deep experience designing and evolving large-scale distributed, high-performance systems and architectures.
- Strong hands-on experience designing, deploying, and operating production applications on public cloud platforms (AWS, GCP, or Azure), including practical knowledge of cloud-native services across compute, storage, networking, and managed data with a solid understanding of cloud architecture patterns and security best practices.
- Proven ability to operate in ambiguous problem spaces and drive clarity, alignment, and execution across teams and organizational boundaries.
- Strong ability to influence technical direction and drive alignment across teams and stakeholders without direct authority.
- Strong understanding of testing strategies, including unit, integration, and end-to-end testing, with a bias toward automated test coverage and quality ownership at scale.
- Deep experience with observability practices, including structured logging, metrics collection, distributed tracing, and alerting, with the ability to drive improvements in these areas across teams.
- A forward-looking approach to AI-assisted development: able to lead the adoption of AI tooling across engineering teams, evaluate where AI creates meaningful leverage, and connect those capabilities directly to product quality, delivery speed, and business outcomes.
- Extensive experience working with cross-functional teams, with the ability to complete root cause analysis, debug complex issues, and communicate findings clearly to both technical and non-technical stakeholders.
- Independent, driven, and demonstrates strong ownership in delivering high-quality solutions.
- Proficient at communicating with a wide variety of stakeholders to understand and execute on development roadmaps.
Technology & Tools
- Experience with full stack and API development across both frontend and backend layers.
- Proficiency in one or more of the following programming languages: Rust, C#, and JavaScript.
- Proficient with modern authentication and authorization mechanisms (e.g., OAuth 2.0, OIDC, SAML).
- Experience maintaining and operating production services and applications at scale, including incident response, post-mortem facilitation, and driving systemic reliability improvements.
- Extensive experience with distributed and microservices-based architectures.
- Experience with containerization and container orchestration (e.g., Docker, Kubernetes).
- Experience with cloud-native infrastructure patterns, including serverless architectures, managed Kubernetes services, infrastructure-as-code tooling (e.g., Terraform, Pulumi, or Bicep), and cost-aware resource design.
- Experience leading the implementation of modern security patterns and practices, including secure coding standards, threat modeling, and vulnerability remediation.
- Broad and deep knowledge of architectural styles and design patterns.
- Experience with CI/CD systems and modern software delivery practices, including automated testing gates and progressive deployment strategies.
- Strong familiarity with relational and non-relational data stores and the architectural considerations that inform choosing between them.
- Experience with observability, monitoring, and reliability engineering practices at platform scale.
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.
