Senior Software Engineer

1 hour ago

Pune, IndiaSenior

Responsibilities

Troubleshoot and resolve complex customer and application issues across the software stack.
Handle escalated L3 support cases by providing advanced troubleshooting, workarounds, and permanent resolutions.
Debug Java and Spring Boot application code, identify defects, implement fixes, and address root causes.
Design, develop, test, and implement solutions improving application performance, reliability, security, networking, and data-streaming capabilities.
Conduct root cause analysis and implement corrective and preventive actions.
Troubleshoot microservices, REST API integrations, Oracle databases, Linux environments, and Kafka producers, consumers, topics, partitions, brokers, offsets, consumer groups, and lag.
Analyze application logs, stack traces, system metrics, database queries, and network traces.
Develop technical documentation, RCA reports, troubleshooting guides, and knowledge-base articles.
Participate in code reviews and follow 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.
Develop and maintain automation scripts and tools for troubleshooting, diagnostics, maintenance, Kafka operations, and L3 support.
Use AI-assisted development tools to improve debugging, development, testing, documentation, and troubleshooting efficiency.

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, Spring Boot, microservices, REST APIs, Linux, Oracle databases, SQL, Apache Kafka, cybersecurity principles, and networking fundamentals.
Strong understanding of Kafka data streaming, including producers, consumers, topics, partitions, brokers, offsets, and consumer groups.
Strong problem-solving, debugging, analytical, communication, collaboration, and root cause analysis skills.
Understanding of SDLC, Agile methodologies, distributed systems, microservices, data-streaming architectures, and L3/Sustenance Engineering processes.
Preferred experience with SaaS, cloud, enterprise, platform, or cloud-security products.
Familiarity with GitHub Copilot, Cursor, Windsurf, Claude Code, MCP integrations, AI agents, agent orchestration, RAG pipelines, AI-powered developer tooling, and LLM-based automation.
Experience with Python or Bash automation scripting.
Cybersecurity, networking, software development, or data-streaming certifications are a plus.
Experience with AWS, Azure, VMware NSX, software-defined networking, Apache Storm, Apache Flink, ServiceNow, or JIRA Service Management.
Knowledge of Jenkins, Docker, Kubernetes, application monitoring, observability, logging, and APM tools.

1,001-5,000 employees