Software Engineer (Production Support)

Software Engineer (Production Support)

Key Responsibilities:

• System Reliability & Troubleshooting: Monitor system performance, analyze failures, and provide fast and accurate solutions.

• Production Support & Incident Resolution: Quickly identify and resolve production incidents, including implementing temporary workarounds and long-term fixes.

• On-Call & Weekend Support: Provide night and weekend on-call support to ensure uninterrupted system availability.

• Defect Analysis & Fixes: Collaborate with business architects, testers, and Tier 2 support teams to analyze defects and deploy rapid fixes.

• Scalability & Performance Optimization: Implement best practices for performance tuning, system stability, and cloud efficiency.

• Communication & Coordination: Keep team members, GL/PM, and stakeholders informed about critical issues and resolutions.

• Tool Development: Build automation tools to improve efficiency in production support and troubleshooting.

If you would like to learn more, please reach out to Elite technical.

Required Skills

Required Skills & Qualifications:

• Bachelor's/Master's degree in Computer Science or related field.

• 2-5 years of experience in Data Engineering, Software Development, or Cloud Infrastructure

• Programming: Strong proficiency in Java, Spring and Python.

• Cloud & Data Expertise: Hands-on experience with Snowflake, ScyllaDB, Oracle (SQL, PL/SQL) and Couchbase

• ETL Development: Proven ability to build and scale data pipelines.

• DevOps & Automation: Experience with CI/CD pipelines, Gitlab, Bitbucket, Jenkins, Kubernetes, Kafka, and cloud security.

• Monitoring & Troubleshooting: Expertise in tools like Prometheus, Grafana, AppDynamics/OTEL, and Splunk

• Good communication and presentation skills

Technical Responsibilities:

• Data Pipelines: Develop and maintain ETL processes using Snowflake & ScyllaDB.

• Backend Development: Build scalable microservices in Java.

• Cloud & Containers: Deploy Kubernetes-based applications for optimal performance.

• CI/CD & Monitoring: Utilize Jenkins, Prometheus, Grafana, and Splunk for automation and system monitoring.

• Database Management: Optimize performance for Oracle, Snowflake, and ScyllaDB.

• Security & Compliance: Apply best practices for data protection and cloud security.

Preferred Skills

• Experience with AWS