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 Role - Principal Software Engineer
Responsibilities
- Leading the design and evolution of critical, large-scale systems and platform architectures that underpin key business capabilities and define the long-term technical foundation of the company.
- Defining and driving the strategic adoption and application of AI-assisted development practices and AI-enabled system capabilities at a company-wide level, identifying where AI creates transformational leverage and connecting those capabilities directly to engineering effectiveness, product innovation, and long-term business outcomes.
- Defining and driving company-wide technical strategy and architecture, aligning long-term engineering direction with business objectives and multi-year product goals.
- Identifying and driving long-term technical investments and architectural initiatives that shape the future of the platform.
- Establishing architectural principles, standards, and best practices to ensure consistency, scalability, and maintainability across the organization.
- Influencing executive, product, and engineering leadership to align on technical direction, trade-offs, and strategic priorities.
- Driving alignment across multiple organizations and teams to ensure cohesive system design and execution.
- Operating in highly ambiguous and complex problem spaces, defining strategy, direction, and execution paths at company scale.
- Leading high-impact, cross-organizational initiatives that span multiple systems, domains, or business units.
- Identifying, communicating, and mitigating systemic technical risks across the organization.
- Defining the company-wide strategy for resolving technical debt and evolving legacy systems, including establishing architectural investment roadmaps, prioritizing re-platforming initiatives, and driving organizational alignment on long-term modernization efforts.
- Advancing system reliability, scalability, and performance through improvements in architecture, observability, and operational maturity at company scale.
- Driving the development and adoption of platform capabilities, shared services, and architectural patterns that improve consistency and productivity across teams.
- Acting as a force multiplier by mentoring senior, staff, and senior staff engineers and enabling organizations to operate more effectively and independently.
- Promoting a culture of engineering excellence by setting and reinforcing high standards for system design, code quality, and operational practices.
- Contributing to technical due diligence and evaluation of strategic initiatives, architectural investments, and external partnerships.
Requirements
- B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 12+ years of professional software engineering experience, with a demonstrated track record of defining and driving technical strategy at an organizational or company-wide level.
- Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices.
- Deep experience designing and evolving large-scale, distributed systems and platform architectures, with a track record of making architectural decisions that stand up at company scale over multi-year horizons.
- Strong hands-on experience designing, deploying, and operating production systems on public cloud platforms (AWS, GCP, or Azure), including deep knowledge of cloud-native services across compute, storage, networking, and managed data with a strong understanding of cloud architecture patterns, cost optimization at scale, and security best practices.
- Proven ability to operate in highly ambiguous and complex environments, define long-term technical direction, and drive alignment and execution across multiple organizations without direct authority.
- Strong understanding of system design trade-offs across scalability, reliability, performance, and cost, with the ability to define and communicate architectural direction at a company-wide level.
- Experience influencing and aligning executive leadership and stakeholders across multiple organizations on technical direction and strategic priorities.
- Experience identifying and mitigating systemic technical risks across large systems, organizations, and multi-year architectural investments.
- Deep experience with observability practices, including structured logging, metrics collection, distributed tracing, and alerting, with the ability to define and advance operational maturity standards across the organization.
- A forward-looking approach to AI-assisted development: able to define and lead company-wide strategy for AI adoption, evaluate where AI creates transformational leverage at scale, and connect those capabilities directly to product innovation, engineering effectiveness, and business outcomes.
- Demonstrated ability to improve engineering productivity and system consistency through platform, tooling, and architectural improvements at organizational scale.
- Experience contributing to technical due diligence and the evaluation of strategic initiatives, architectural investments, and external partnerships.
- Strong communication skills with the ability to convey complex technical concepts to diverse audiences, including executive and business leadership.
Technology & Tools
- Experience with full stack and API development across both frontend and backend layers, with the ability to engage deeply in technical implementation and architectural review across the stack.
- 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) and the security architecture considerations that inform their application at scale.
- Experience maintaining and evolving large-scale production systems, including defining and advancing standards for incident response, post-mortem processes, and long-term reliability at the organizational level.
- Deep experience with large-scale distributed systems and microservices-based architectures.
- Experience with containerization and container orchestration (e.g., Docker, Kubernetes).
- Deep 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 at company scale.
- Experience defining and advancing the implementation of modern security patterns and practices across the organization, including secure coding standards, threat modeling, vulnerability remediation, and security architecture.
- Broad and deep knowledge of architectural styles and design patterns, with the ability to establish and evolve company-wide standards.
- Experience with CI/CD systems and modern software delivery practices, including automated testing gates, progressive deployment strategies, and platform-level delivery improvements at organizational scale.
- Deep familiarity with relational and non-relational data stores and the architectural considerations that inform design decisions at platform and company scale.
- Deep experience with observability, monitoring, and reliability engineering practices, with a track record of defining and advancing operational excellence standards across the organization.
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.