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Senior Software Engineer

Qualys
Pune, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 3 days ago
cassandradockerjavakafkakubernetesmongodb

Full Job Posting

Responsibilities

  • Design and develop scalable backend services, platform components, and middleware systems using Java and related technologies.
  • Build reliable and maintainable APIs, distributed services, and cloud-native applications for large-scale SaaS environments.
  • Own features throughout the SDLC, including design, development, testing, automation, deployment, and support.
  • Perform functional, integration, and end-to-end validation of developed features.
  • Build and maintain automated test suites using PyTest and Playwright.
  • Contribute to architecture discussions, design reviews, performance optimization, scalability improvements, and reliability initiatives
  • Contribute to CI/CD pipelines, release validation, and deployment automation.
  • Troubleshoot complex distributed systems issues across services, databases, messaging systems, and cloud infrastructure
  • Improve system scalability, reliability, observability, and operational excellence.
  • Contribute to engineering best practices, coding standards, and technical mentorship within the team
  • Explore and adopt modern engineering productivity practices and tools where applicable.
  • Participate in code reviews, root cause analysis, and production support activities.

Required Skills

  • 4+ years of software development experience.
  • Strong Java programming skills and understanding of OOP, data structures, concurrency, and system design.
  • Experience building REST APIs, microservices, and distributed systems.
  • Experience writing unit, integration, and API-level automated tests as part of the development lifecycle
  • Familiarity with automation frameworks and validation tools such as PyTest, JUnit, Rest Assured, Playwright, Selenium, or similar technologies
  • Experience with Kafka, RabbitMQ, or similar messaging technologies.
  • Strong hands-on experience with Docker containers, Kubernetes, and CI/CD pipeline implementation and management.
  • Experience with container registries, including Docker Hub, OpenShift, and JFrog Artifactory.
  • Strong understanding of databases including SQL optimization and data modeling concepts
  • Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Good understanding of scalability, resiliency, observability, and production-grade system design
  • Preferred Experience in SaaS, cloud security, or enterprise platforms. Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code. Exposure to performance engineering and observability tools Nice to have: familiarity with emerging AI engineering concepts such as MCP integrations, agentic workflows, RAG pipelines, AI-powered developer tooling, or LLM-based automation Understanding of SRE concepts and production reliability engineering
  • Education Bachelor’s / Master’s degree in Computer Science, Engineering, or equivalent practical experience

Qualifications

  • 4+ years of software development experience.
  • Strong Java programming skills and understanding of OOP, data structures, concurrency, and system design.
  • Experience building REST APIs, microservices, and distributed systems.
  • Experience writing unit, integration, and API-level automated tests as part of the development lifecycle
  • Familiarity with automation frameworks and validation tools such as PyTest, JUnit, Rest Assured, Playwright, Selenium, or similar technologies
  • Experience with Kafka, RabbitMQ, or similar messaging technologies.
  • Strong hands-on experience with Docker containers, Kubernetes, and CI/CD pipeline implementation and management.
  • Experience with container registries, including Docker Hub, OpenShift, and JFrog Artifactory.
  • Strong understanding of databases including SQL optimization and data modeling concepts
  • Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Good understanding of scalability, resiliency, observability, and production-grade system design
  • Experience in SaaS, cloud security, or enterprise platforms.
  • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code.
  • Exposure to performance engineering and observability tools

Preferred Qualifications

  • Preferred
  • familiarity with emerging AI engineering concepts such as MCP integrations, agentic workflows, RAG pipelines, AI-powered developer tooling, or LLM-based automation
  • Understanding of SRE concepts and production reliability engineering
  • Education
  • Bachelor’s / Master’s degree in Computer Science, Engineering, or equivalent practical experience

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