Staff Software Development Engineer in Test

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.

Staff Software Development Engineer in Test (Staff SDET)

Location: Onsite – Bangalore

Position Type: Full-Time

Position Summary

We are seeking a highly experienced Staff Software Development Engineer in Test (SDET) to lead the evolution of our test architecture, automation frameworks, and quality engineering practices. This role will define the strategic direction of quality engineering across distributed cloud-native systems, drive adoption of AI-assisted testing methodologies, and partner with engineering leadership to ensure scalable, reliable, and secure software delivery.

Key Responsibilities

Lead the design, implementation, and evolution of scalable test automation frameworks, quality infrastructure, and testing architecture.

Define and drive the strategic vision for quality engineering, aligning automation initiatives with business objectives and product roadmaps.

Champion AI-assisted testing practices and leverage emerging technologies to improve quality, efficiency, and release velocity.

Partner with Engineering, Product, and Platform leaders to establish quality priorities, governance, and release confidence measures.

Drive root cause analysis of complex production and test failures, identifying systemic quality risks and remediation strategies.

Advance observability, monitoring, CI/CD quality gates, and release validation processes across cloud-native architectures.

Mentor and provide technical leadership to SDETs and QA engineers.

Lead modernization efforts to reduce test debt, improve tooling, and enhance productivity across development teams.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, or related field.

8+ years of software development and test engineering experience including technical leadership.

Strong computer science fundamentals including data structures, algorithms, and design patterns.

Deep expertise designing scalable automation frameworks for distributed systems and microservices.

Hands-on experience with AWS, Azure, or GCP.

Extensive experience with unit, integration, end-to-end, performance, and load testing.

Strong debugging and observability experience.

Excellent communication and stakeholder management skills.

Preferred Qualifications

Proficiency in Python, JavaScript, C#, or Rust.

Experience implementing AI-assisted testing solutions.

Strong understanding of OAuth 2.0, OIDC, and SAML.

Experience with Docker and Kubernetes.

Experience with Terraform, Pulumi, or Bicep.

Knowledge of security testing, vulnerability scanning, and threat modeling.

Extensive experience with CI/CD platforms and automated quality gates.

Familiarity with relational and non-relational databases.

• 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.