4 hours ago
Pune, IndiaStaff+
Responsibilities
- Lead the design and evolution of large-scale distributed systems and platform architectures for scalability and reliability.
- Define technical strategy and architecture across organizational boundaries in alignment with business goals.
- Lead adoption of AI-assisted development and connect AI initiatives to measurable engineering and business outcomes.
- Drive cross-team initiatives involving multiple systems and domains, including modernization and technical debt reduction.
- Partner with engineering, product, and business leadership on priorities, roadmaps, architecture decisions, and strategic initiatives.
- Improve observability, performance, reliability, operational maturity, and systemic risk management across production systems.
- Advance platform capabilities and developer productivity tooling, including re-platforming strategies.
- Mentor senior and staff engineers and establish standards for design, code, operations, and continuous improvement.
- Contribute to technical due diligence for strategic initiatives and partnerships.
Requirements
- B.S. in Computer Science, Software Engineering, or equivalent practical experience.
- 8+ years of software engineering experience driving technical strategy across multiple teams or organizations.
- Strong computer science fundamentals in data structures, algorithms, and design patterns.
- Deep experience designing large-scale distributed systems or platform architectures, including 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/API development and proficiency in one or more of 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, CI/CD, progressive deployment, relational and non-relational data stores at scale, and technical due diligence.
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.