Senior Software Engineer

• 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.