Senior Software Engineer - .NET & Cloud Architecture

About Kaseya

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..
• 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.