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.

Position Summary

The Senior Staff Software Engineer will provide organization-wide technical leadership for large-scale distributed systems and platform architectures, driving long-term scalability, reliability, modernization, and engineering excellence. This role will shape technical strategy across teams, lead high-impact cross-functional initiatives, advance AI-assisted development and developer productivity, and influence architecture and operational maturity without relying on direct authority.

Key Responsibilities

Lead the design and evolution of large-scale distributed systems and platform architectures for long-term scalability and reliability across organizations.
Define long-term technical strategy and architecture across organizational boundaries, aligning engineering direction with business goals.
Lead adoption of AI-assisted development and connect AI initiatives to engineering effectiveness and measurable business outcomes.
Identify high-impact technical opportunities, prioritize complex problems, and drive cross-team initiatives spanning multiple systems and domains.
Partner with engineering, product, and business leadership on technical priorities, roadmaps, architecture decisions, and strategic initiatives.
Drive observability, performance, reliability, operational maturity, and systemic risk mitigation across production systems.
Define technical debt reduction and modernization strategies, including re-platforming roadmaps, while advancing platform capabilities and developer productivity tooling.
Mentor senior and staff engineers, establish high standards for design, code, operations, and continuous improvement, and contribute to technical due diligence for strategic initiatives and partnerships.

Required Qualifications

B.S. in Computer Science, Software Engineering, or equivalent practical experience.
6+ years of software engineering experience driving technical strategy across multiple teams or organizations.
Strong computer science fundamentals, including data structures, algorithms, and design patterns.
Deep experience designing large-scale distributed systems or platform architectures, with strong understanding of scalability, reliability, performance, and cost trade-offs.
Hands-on production experience with AWS, GCP, or Azure, including cloud-native services and security best practices.

Preferred Qualifications

Proven ability to operate in ambiguity and drive execution without direct authority, while aligning senior/staff engineers and leadership across teams.
Deep observability and reliability engineering experience across logging, metrics, tracing, alerting, incident response, and post-mortem improvements.
Experience improving engineering productivity through platforms, tooling, processes, and modern delivery practices.
Forward-looking experience with AI-assisted development and organizational AI strategy, including adoption and measurable engineering outcomes.
Experience with full-stack/API development and proficiency in one or more of Rust, C#, or JavaScript; familiarity with OAuth 2.0, OIDC, and SAML.
Strong experience with distributed systems, microservices, Docker, Kubernetes, cloud-native infrastructure, serverless services, managed Kubernetes, and Infrastructure as Code using Terraform, Pulumi, or Bicep.
Experience with secure coding, threat modeling, vulnerability remediation, CI/CD, progressive deployment, relational and non-relational data stores at scale, and technical due diligence for strategic initiatives..

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.

About Kaseya

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.

Position Summary

Key Responsibilities

Lead the design and evolution of large-scale distributed systems and platform architectures for long-term scalability and reliability across organizations.
Define long-term technical strategy and architecture across organizational boundaries, aligning engineering direction with business goals.
Lead adoption of AI-assisted development and connect AI initiatives to engineering effectiveness and measurable business outcomes.
Identify high-impact technical opportunities, prioritize complex problems, and drive cross-team initiatives spanning multiple systems and domains.
Partner with engineering, product, and business leadership on technical priorities, roadmaps, architecture decisions, and strategic initiatives.
Drive observability, performance, reliability, operational maturity, and systemic risk mitigation across production systems.
Define technical debt reduction and modernization strategies, including re-platforming roadmaps, while advancing platform capabilities and developer productivity tooling.
Mentor senior and staff engineers, establish high standards for design, code, operations, and continuous improvement, and contribute to technical due diligence for strategic initiatives and partnerships.

Required Qualifications

B.S. in Computer Science, Software Engineering, or equivalent practical experience.
6+ years of software engineering experience driving technical strategy across multiple teams or organizations.
Strong computer science fundamentals, including data structures, algorithms, and design patterns.
Deep experience designing large-scale distributed systems or platform architectures, with strong understanding of scalability, reliability, performance, and cost trade-offs.
Hands-on production experience with AWS, GCP, or Azure, including cloud-native services and security best practices.

Preferred Qualifications

Proven ability to operate in ambiguity and drive execution without direct authority, while aligning senior/staff engineers and leadership across teams.
Deep observability and reliability engineering experience across logging, metrics, tracing, alerting, incident response, and post-mortem improvements.
Experience improving engineering productivity through platforms, tooling, processes, and modern delivery practices.
Forward-looking experience with AI-assisted development and organizational AI strategy, including adoption and measurable engineering outcomes.
Experience with full-stack/API development and proficiency in one or more of Rust, C#, or JavaScript; familiarity with OAuth 2.0, OIDC, and SAML.
Strong experience with distributed systems, microservices, Docker, Kubernetes, cloud-native infrastructure, serverless services, managed Kubernetes, and Infrastructure as Code using Terraform, Pulumi, or Bicep.
Experience with secure coding, threat modeling, vulnerability remediation, CI/CD, progressive deployment, relational and non-relational data stores at scale, and technical due diligence for strategic initiatives..

Senior Software Engineer - .NET & Cloud Architecture

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