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Senior Software Engineer

Qualys
Pune, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 2 weeks ago
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Full Job Posting

Key Responsibilities:

  • Troubleshoot and resolve complex customer and application issues across the software stack.
  • Handle escalated support cases, providing advanced troubleshooting, workarounds, and permanent resolutions.
  • Debug application code, identify defects, provide code fixes, and address the root causes of issues.
  • Design, develop, test, and implement solutions to improve application performance, reliability, security, networking, and data-streaming capabilities.
  • Conduct thorough Root Cause Analysis (RCA) and implement corrective and preventive actions.
  • Troubleshoot Java/Spring Boot applications, microservices, REST APIs, Oracle databases, Linux environments, and Kafka-based integrations.
  • Troubleshoot Kafka producers, consumers, topics, partitions, brokers, offsets, consumer groups, and consumer lag.
  • Analyze application logs, stack traces, system metrics, database queries, and network traces to identify issues.
  • Develop and maintain technical documentation, RCA reports, troubleshooting guides, and knowledge-base articles.
  • Participate in code reviews and ensure adherence to software development, security, networking, Kafka, and L3 support best practices.
  • Collaborate with Engineering, L2/L3 Support, DevOps, Cybersecurity, Network Operations, Cloud, and Data Engineering teams to resolve complex issues.
  • Develop and maintain automation scripts and tools for troubleshooting, diagnostics, maintenance, Kafka operations, and L3 support activities.
  • Leverage AI-assisted development tools to improve debugging, development, testing, documentation, and troubleshooting efficiency.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 4+ years of experience in software development, application troubleshooting, debugging, and L3/Sustenance Engineering.
  • Experience working with SaaS, cloud, enterprise, or platform products is preferred.
  • Strong expertise in:
  • Java and Spring Boot
  • Microservices and REST APIs
  • Linux operating systems
  • Oracle databases and SQL
  • Apache Kafka and data-streaming concepts
  • Cybersecurity principles and practices
  • Networking fundamentals – TCP/IP, DNS, HTTP/HTTPS, TLS, firewalls, proxies, VPNs
  • L3/Sustenance – troubleshooting, debugging, RCA, and problem management
  • Strong understanding of Kafka data streaming, including producers, consumers, topics, partitions, brokers, offsets, and consumer groups.
  • Excellent problem-solving, debugging, analytical, and root cause analysis skills.
  • Effective communication and collaboration skills.
  • Strong understanding of SDLC, Agile methodologies, distributed systems, microservices, data-streaming architectures, and L3/Sustenance Engineering processes.

Preferred Qualifications:

  • Experience working on SaaS, cloud security, or enterprise platform products.
  • Familiarity with AI-assisted software development tools such as GitHub Copilot, Cursor, Windsurf, Claude Code, or similar tools.
  • Familiarity with MCP integrations, AI agents, agent orchestration, RAG pipelines, AI-powered developer tooling, and LLM-based automation.
  • Experience with Kafka data streaming, including producers, consumers, topics, partitions, and brokers.
  • Experience with automation tools and scripting languages such as Python and Bash.
  • Certifications in cybersecurity (e.g., CompTIA Security+, CISSP ), networking (e.g., CCNA, CCNP ), software development (e.g., Oracle Certified Java Programmer ), or data streaming (e.g., Confluent Certified Kafka Developer ) are a plus.
  • Experience with cloud platforms such as AWS or Azure, network virtualization (e.g., VMware NSX ), software-defined networking (SDN), or data-streaming technologies such as Apache Storm or Apache Flink.
  • Experience with L3/Sustenance support tools such as ServiceNow or JIRA Service Management.
  • Knowledge of DevOps practices and tools such as Jenkins, Docker, and Kubernetes.
  • Familiarity with application monitoring, observability, logging, and APM tools.
  • Experience working with SaaS, cloud, enterprise, or platform products is preferred.

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