Senior Software Engineer

Qualys -
Pune, Maharashtra

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Job details

Full-time
11 hours ago

Qualifications

Jira
Spring Boot
BCS
TCP
Java Certification
Azure
Oracle
Law
Computer Science
CCNP
Software troubleshooting
MCP
Kubernetes
DevOps
CCNA
CISSP
Git
Java
Bash (Unix shell)
Microservices
SQL
AWS
Docker
Cloud security
Bachelor's degree
Distributed systems
REST
Scripting
DNS
Software development
GitHub
APIs
ServiceNow
Agile
VMWare
Problem management
Linux
Apache
Kafka
TCP/IP
HTTPS
Root cause analysis
SaaS
AI
CompTIA Security+
Jenkins
Communication skills
Python
Spring framework
Debugging
SDLC
VPN

Full job description

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.

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