Kaseya

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Staff Software Engineer - 260421-4

🗓️ Posted 2026-09-08 Pune, India Hybrid ICT

💰 Salary Not shared 📊 Market ₹250,000–₹450,000/mo (₹3,000,000–₹5,400,000/yr)

About the Company

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. The Staff Software Engineer will provide technical leadership across teams by designing and evolving large-scale systems and architectures for scalability, reliability, and maintainability. This role will shape technical strategy, influence roadmap decisions, drive modernization and reliability initiatives, and lead the adoption of AI-assisted development practices that improve engineering velocity, product quality, and business outcomes.

Responsibilities

● Lead the design and evolution of large-scale systems and architectures to support long-term scalability, reliability, and maintainability.
● Define and guide technical vision and strategy across teams, aligning engineering efforts with long-term product and organizational goals.
● Partner with engineering and product leadership to shape technical priorities and influence roadmap decisions.
● Influence technical direction across multiple teams through architecture, design patterns, code reviews, and technical best practices.
● Drive resolution of complex technical issues, root cause analysis, observability improvements, and systemic reliability initiatives.
● Lead technical-debt reduction and modernization efforts, including re-platforming strategies and execution across teams.
● Lead adoption of AI-assisted development practices and identify opportunities to improve engineering velocity, product quality, and measurable business outcomes.
● Provide technical leadership and mentorship while collaborating with cross-functional teams including Technical Support, QA, Design, Documentation, and Product Management.
● B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
● 8+ years of professional software engineering experience with demonstrated 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 AWS, GCP, or Azure, with knowledge of cloud architecture and security best practices.

Requirements

● Experience with .NET full-stack and API development across frontend and backend layers.
● Proficiency in one or more of Rust, C , and JavaScript.
● Experience with distributed and microservices-based architectures , Docker , and Kubernetes.
● Experience with cloud-native infrastructure, serverless architectures, managed Kubernetes, infrastructure-as-code tools such as Terraform, Pulumi , or Bicep, and cost-aware resource design.
● Experience with modern authentication and authorization mechanisms such as OAuth 2.0, OIDC, and SAML.
● Strong experience with testing strategies, CI/CD, observability, monitoring, incident response, and reliability engineering at scale.
● Experience with secure coding practices, threat modeling, vulnerability remediation, and relational/non-relational data stores.