QU
QualysSenior Software Engineer
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Before you apply
LocationPune
SenioritySenior
Experience5–8 yrs
Company size1,001–5,000 people
PostedSep 24, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
5–8 years of hands-on experience in backend software development for SaaS products or distributed systems
Strong programming skills in Java with a good understanding of object-oriented design principles, data structures, concurrency, and system design fundamentals
Experience building RESTful APIs, microservices, and distributed applications
Experience with messaging technologies such as Kafka, RabbitMQ, JMS, or similar systems
Exposure to CI/CD pipelines and DevOps practices using tools such as Jenkins, GitLab, Docker, Kubernetes, or Helm
Strong understanding of databases, SQL optimization, and data modeling concepts
Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
Familiarity with cloud platforms such as AWS, Azure, or private cloud environments
Strong debugging, troubleshooting, and analytical problem-solving skills
Understanding of scalability, resiliency, observability, and production-grade system design concepts
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
Experience of 5+ years, working on cloud security, cybersecurity, or enterprise SaaS platforms
Exposure to performance engineering and observability tools
Experience contributing to large-scale distributed systems and cloud-native platforms
Interest in AI-assisted development tools such as Cursor, Windsurf, Claude Code, GitHub Copilot, or similar platforms
Basic understanding of 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
About the company
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Job Summary
Interested in delivering large scale distributed software systems using cutting edge technologies in a culture that encourages autonomous productive teams? We are seeking talented and motivated software engineer who enjoys building scalable backend systems, solving distributed systems challenges, and contributing to the development of large-scale cloud-native platforms.
You will participate in the design, development, deployment and support of highly scalable SaaS-based cloud security platforms processing hundreds of millions of transactions and terabytes of data daily. This role provides an opportunity to work on modern microservices architectures, cloud-native platforms, and large-scale distributed systems while growing technical expertise and engineering excellence.
Responsibilities
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Design and develop scalable backend services, platform components, and middleware systems using Java and related technologies
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Build reliable and maintainable APIs, distributed services, and cloud-native applications for large-scale SaaS environments
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Write clean, efficient, and maintainable code following engineering best practices
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Participate in architecture discussions, design reviews, performance optimization, scalability improvements, and reliability initiatives
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Build reusable frameworks, libraries, tools, and developer utilities to improve engineering productivity
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Collaborate with architects, DevOps, and engineering teams to support CI/CD, observability, and operational excellence
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Troubleshoot distributed systems issues across services, databases, messaging systems, and cloud infrastructure
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Participate in code reviews, debugging, root cause analysis, and production support activities
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Contribute to system reliability, resiliency, monitoring, and operational visibility across platform services
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Follow engineering best practices, coding standards, and continuous improvement initiatives
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Explore and adopt modern engineering tools and productivity practices where applicable
Required Skills & Experience
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5–8 years of hands-on experience in backend software development for SaaS products or distributed systems
•
Strong programming skills in Java with a good understanding of object-oriented design principles, data structures, concurrency, and system design fundamentals
•
Experience building RESTful APIs, microservices, and distributed applications
•
Experience with messaging technologies such as Kafka, RabbitMQ, JMS, or similar systems
•
Exposure to CI/CD pipelines and DevOps practices using tools such as Jenkins, GitLab, Docker, Kubernetes, or Helm
•
Strong understanding of databases, SQL optimization, and data modeling concepts
•
Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
•
Familiarity with cloud platforms such as AWS, Azure, or private cloud environments
•
Strong debugging, troubleshooting, and analytical problem-solving skills
•
Understanding of scalability, resiliency, observability, and production-grade system design concepts
Preferred Qualifications
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Experience of 5+ years, working on cloud security, cybersecurity, or enterprise SaaS platforms
•
Exposure to performance engineering and observability tools
•
Experience contributing to large-scale distributed systems and cloud-native platforms
•
Interest in AI-assisted development tools such as Cursor, Windsurf, Claude Code, GitHub Copilot, or similar platforms
•
Basic understanding of 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
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Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience