Kaseya
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Pune · On-site · 2-5 Yrs · 6 days ago
Information Technology Support Services · 5001 to 10000 Employees · Miami, US
Kaseya is the leading global provider of AI-powered cybersecurity and IT management software for IT professionals in managed service providers (MSPs) and mid-market enterprises (MMEs). Through its customer-centric approach and renowned support, Kaseya delivers best-in-breed technologies that empower organizations to seamlessly manage IT infrastructure, secure networks, backup critical data, manage service operations, and grow their businesses. Kaseya offers a broad array of IT management solutions, including well-known names: Kaseya, Datto, IT Glue, RapidFire Tools, Unitrends, Spanning Cloud Apps, TruMethods, ID Agent, Graphus, SaaS Alerts, Vonahi and RocketCyber. These innovative solutions fuel Kaseya’s IT Complete platform, which is designed to maximize efficiencies and enable businesses through a single pane of glass. IT Complete empowers IT professionals to centrally command hardware, software, security, data, compliance, operations and more from within a comprehensive, integrated, intelligent (AI utilization-optimized), and affordable platform. Headquartered in Miami, Florida, Kaseya is privately held with a global presence in over 25 countries. To learn more, visit https://www.kaseya.com.
Hiring: Engineering
What employees say
+ It's good for them who wants to work on latest technologies
− I don't see any cons
More reviews on the company profile.
Interview experience · Project Coordinator
It was just group discussions. They do partiality. They don’t even give value to the candidates. Not so professional it was. Not recommended at all. The package is very low even for experienced programmers.
Easy difficulty · Bengaluru · 57 reports
More interview insightsJob description
Overview
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.
Responsibilities
- Define and drive architecture for Java-based platform services, distributed systems, APIs, and event‑driven applications across multiple product areas
- Lead complex technical initiatives spanning multiple engineering teams, services, and business domains
- Remain highly hands‑on through architecture, prototyping, implementation of critical components, code reviews, debugging, and production troubleshooting
- Champion AI-native software engineering practices, using AI coding tools such as Claude Code to improve developer productivity, code quality, testing, debugging, documentation, and system understanding
- Establish effective patterns and guardrails for using AI-generated code in production engineering environments
- Help engineering teams evolve from traditional development workflows toward AI‑assisted and agentic software development
- Identify opportunities where AI can accelerate modernization of legacy systems, test creation, refactoring, migration, and technical debt reduction
- Partner with Product, Engineering, Security, and Architecture leaders to translate business priorities into scalable technical solutions
- Guide the evolution of cloud‑native architectures, microservices, data flows, integrations, and shared platform capabilities
- Drive improvements in system performance, availability, observability, security, and operational readiness
- Establish engineering standards and reusable patterns for Java development, API design, testing, CI/CD, AI‑assisted development, and production operations
- Mentor Senior and Staff Engineers through architecture reviews, technical guidance, hands‑on collaboration, and modern AI‑enabled engineering practices
- Evaluate emerging engineering and AI technologies and determine where they can meaningfully improve our products and engineering organization
Qualifications
- 2+ years of software engineering experience building production SaaS applications, distributed systems, or enterprise software platforms
- 1+ years of experience developing production backend services using Java
- Strong hands‑on coding skills and the ability to design, implement, review, debug, and operate complex production software
- Proven experience providing technical leadership across multiple engineering teams or product areas
- Experience designing and operating distributed systems on AWS, Azure, or GCP
- Experience leading architecture reviews and establishing engineering standards or practices adopted across multiple teams
- Demonstrated experience using AI‑assisted coding tools as part of real software engineering workflows
- Ability to use AI effectively for code generation, codebase exploration, refactoring, testing, debugging, documentation, and technical problem‑solving
- Strong understanding of software engineering fundamentals and the ability to critically review, validate, test, and improve AI‑generated code
- Ability to mentor engineers and influence technical direction without relying solely on organizational authority
- Hands‑on experience with Claude Code or similar agentic AI coding tools
- Experience with Java technologies such as Spring Boot, Spring Cloud, Hibernate, Kafka, or similar frameworks
- Experience designing cloud‑native, microservices‑based, or event‑driven architectures
- Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle
- Experience leading platform modernization, cloud migration, or large‑scale re‑architecture initiatives
- Experience using AI to accelerate modernization of large or legacy codebases
- Experience improving reliability, observability, performance, testing, or operational practices across production systems
- Experience integrating AI‑enabled capabilities, LLMs, agents, or AI services into production software
- Experience developing engineering standards, workflows, or guardrails for AI‑assisted software development
- Familiarity with modern AI engineering concepts such as LLM APIs, tool use, agents, RAG, evaluation, and prompt/context engineering
- Experience measuring and improving engineering productivity using AI‑enabled development workflows
- Build: Stay close to the code and deliver critical technical solutions.
- Lead: Set technical direction and drive complex initiatives across teams.
- Modernize: Improve architecture, engineering practices, and legacy systems.
- Amplify: Use AI to increase the effectiveness and velocity of engineering teams.
- Mentor: Raise the technical capabilities of engineers around you.
- Own: Take responsibility for solutions from architecture and implementation through production operation.
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Job application FAQ
Last updated 9 November 2026
- How do I apply for Software Engineer I Pune, India at Kaseya?
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