K

Kaseya

Integrated IT management and security platform

Senior Software Engineer - Java

Backend EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of software engineering experience building production SaaS applications, distributed systems, or enterprise software platforms.
  • At least 4 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.

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 products and the engineering organization.
  • Stay close to the code and deliver critical technical solutions.
  • Set technical direction and drive complex initiatives across teams.
  • Improve architecture, engineering practices, and legacy systems.
  • Use AI to increase the effectiveness and velocity of engineering teams.
  • Raise the technical capabilities of engineers.
  • Take responsibility for solutions from architecture and implementation through production operation.

Desired Qualifications

  • 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.

About the Company

Kaseya

Integrated IT management and security platform

Kaseya offers an integrated IT and security management platform used by MSPs and internal IT teams to monitor, secure, and automate tasks across endpoints, networks, and cloud services. The IT Complete Platform automates routine chores, centralizes operations, and adds auditing, compliance, and IT documentation through strategic acquisitions, while integrating with Microsoft 365, Google Workspace, and Salesforce. Unlike many point tools, it provides a single system that covers IT management, security, auditing, and documentation, supported by a global network of IT service providers. Its goal is to help IT professionals run safer, more efficient operations and deliver reliable service while reducing cybersecurity risks and costs.

Company size
5,001-10,000
Company stage
Late Stage VC
Total funding
$699.1M
Headquarters
Miami, FL
Founded
2000

Recently Posted Jobs

Explore more opportunities at Kaseya

See more jobs