Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We're seeking an experienced Sr Software Engineer to join our Sustenance Engineering team, specializing in troubleshooting complex product issues, debugging application code, delivering permanent fixes, handling escalated support cases, and performing root cause analysis.
The ideal candidate will have strong expertise in Java, Spring Boot, Microservices, Linux, Oracle, Cybersecurity, Networking, Kafka, and L3 Support, along with an interest in AI-assisted engineering, MCP tools, and agentic automation.
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.
Skills Required
- 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 or Sustenance Engineering
- Strong expertise in Java and Spring Boot
- Experience with microservices and REST APIs
- Experience with Linux operating systems
- Experience with Oracle databases and SQL
- Experience with Apache Kafka and data-streaming concepts
- Understanding of cybersecurity principles and practices
- Understanding of networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, TLS, firewalls, proxies, and VPNs
- Experience with troubleshooting, debugging, root cause analysis, and problem management in L3 or Sustenance Support
- Understanding of SDLC, Agile methodologies, distributed systems, microservices, data-streaming architectures, and L3 or Sustenance Engineering processes
- Experience with SaaS, cloud, or enterprise platform products
- Familiarity with AI-assisted development tools, MCP integrations, AI agents, RAG pipelines, and LLM-based automation
- Experience with Python and Bash automation scripting
- Cybersecurity, networking, Java, or Kafka certifications
- Experience with AWS, Azure, VMware NSX, software-defined networking, Apache Storm, or Apache Flink
- Experience with ServiceNow or JIRA Service Management
- Knowledge of DevOps practices and Jenkins, Docker, and Kubernetes
- Familiarity with application monitoring, observability, logging, and APM tools
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
