10 days ago
Pune, IndiaEntry Level
Responsibilities
- Define architecture for Java-based platform services, distributed systems, APIs, and event-driven applications.
- Lead complex technical initiatives spanning multiple engineering teams, services, and business domains.
- Design, prototype, implement, review, debug, and troubleshoot production software hands-on.
- Use AI coding tools such as Claude Code to improve development, testing, debugging, documentation, and codebase modernization.
- Establish guardrails and reusable engineering standards for Java development, API design, testing, CI/CD, AI-assisted development, and production operations.
- Guide cloud-native architectures, microservices, data flows, integrations, shared platform capabilities, performance, availability, observability, security, and operational readiness.
- Mentor engineers and influence technical direction through architecture reviews and hands-on collaboration.
Requirements
- At least 2 years of software engineering experience building production SaaS applications, distributed systems, or enterprise software platforms.
- At least 1 year of experience developing production backend services using Java.
- Strong hands-on coding, design, implementation, code review, debugging, and production operations skills.
- 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 adopted across multiple teams.
- Experience using AI-assisted coding tools in real software engineering workflows.
- 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.
- Preferred experience with Claude Code or similar agentic AI coding tools; Spring Boot, Spring Cloud, Hibernate, Kafka; relational databases; cloud migration; platform modernization; AI-enabled capabilities, LLMs, 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.