10 days ago
Pune, IndiaMid Level
Responsibilities
- Define architecture for Java-based platform services, distributed systems, APIs, and event-driven applications.
- Lead complex technical initiatives spanning multiple teams, services, and business domains.
- Design, prototype, implement, review, debug, and troubleshoot production software.
- Use AI coding tools such as Claude Code to improve development productivity, code quality, testing, debugging, documentation, and modernization.
- Establish guardrails and reusable engineering standards for AI-generated code and Java development.
- Guide cloud-native architectures, microservices, data flows, integrations, and shared platform capabilities.
- Improve system performance, availability, observability, security, testing, and operational readiness.
- Partner with Product, Engineering, Security, and Architecture leaders on scalable technical solutions.
- Mentor Senior and Staff Engineers and influence technical direction across teams.
- Evaluate emerging engineering and AI technologies for product and organizational improvement.
Requirements
- At least 4 years of software engineering experience building production SaaS applications, distributed systems, or enterprise software platforms.
- At least 2 years of experience developing production backend services using Java.
- Strong hands-on coding skills and ability to design, implement, review, debug, and operate complex production software.
- 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 standards adopted across multiple teams.
- Demonstrated experience using AI-assisted coding tools in real engineering workflows.
- Ability to use and critically evaluate AI for code generation, codebase exploration, refactoring, testing, debugging, documentation, and technical problem-solving.
- Ability to mentor engineers and influence technical direction without relying solely on organizational authority.
- Preferred experience with Claude Code or similar agentic AI coding tools.
- Preferred experience with Spring Boot, Spring Cloud, Hibernate, Kafka, relational databases, cloud-native and microservices architectures, modernization, cloud migration, reliability, observability, performance, testing, and operational practices.
- Preferred experience integrating AI capabilities, LLMs, agents, or AI services into production software.
- Preferred familiarity with LLM APIs, tool use, agents, RAG, evaluation, and prompt/context engineering.
Tech Stack
Categories
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.