4 hours ago
Pune, IndiaStaff+
Responsibilities
- Lead the design and evolution of large-scale distributed systems and platform architectures for scalability and reliability.
- Define long-term technical strategy and architecture across organizational boundaries and align engineering direction with business goals.
- Lead adoption of AI-assisted development and connect AI initiatives to engineering effectiveness and measurable business outcomes.
- Identify 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, modernization, and re-platforming strategies while advancing platform capabilities and developer productivity tooling.
- Mentor senior and staff engineers, establish standards for design, code, and operations, and contribute to technical due diligence.
Requirements
- Bachelor of Science in Computer Science, Software Engineering, or equivalent practical experience.
- At least 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 expertise in scalability, reliability, performance, and cost trade-offs.
- Hands-on production experience with AWS, GCP, or Azure, including cloud-native services and security best practices.
- Ability to operate in ambiguity, drive execution without direct authority, and align senior and staff engineers with leadership.
- Experience with observability and reliability engineering, including logging, metrics, tracing, alerting, incident response, and post-mortem improvements.
- Experience improving engineering productivity through platforms, tooling, processes, and modern delivery practices.
- Experience with AI-assisted development and organizational AI strategy.
- Experience with full stack and API development and proficiency in Rust, C#, or JavaScript.
- Familiarity with OAuth 2.0, OIDC, and SAML.
- 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, progressive deployment, relational and non-relational data stores at scale, and technical due diligence.
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About Kaseya
Kaseya builds IT management and cybersecurity software for managed service providers and internal IT teams, delivered as a unified, subscription-based platform covering RMM, PSA, backup, endpoint protection, and SOC services. Founded in 2000 and headquartered in Miami, it is privately held and backed by Insight Partners. The company expanded its portfolio with acquisitions including Datto, and is used by MSPs and SMBs to automate and secure infrastructure.