Trinity Life Sciences is seeking a motivated and detail-oriented Production Support Engineer to join our Data & Analytics team. This role is ideal for someone early in their career who is eager to learn and grow within a fast-paced production environment. You will support system reliability, contribute to release management, enhance monitoring capabilities, and participate in on-call rotations to ensure seamless operations.
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Key Responsibilities
Production Monitoring & Incident Response
- Monitor production systems to ensure uptime and performance
- Respond to alerts and troubleshoot issues under guidance from senior team members
- Document incidents and resolutions for future reference
Production Release Management
- Assist in coordinating and executing production releases
- Validate deployments and ensure proper rollback procedures are in place
- Collaborate with development and QA teams to ensure release readiness
Monitoring Enhancements
- Contribute to improving system monitoring and alerting tools
- Help identify gaps in current monitoring coverage and propose enhancements
- Support implementation of new dashboards and metrics
Automation & DevOps Support
- Assist in automating routine support tasks and deployment processes
- Learn and apply DevOps tools and practices (e.g., Git, Jenkins, Docker)
- Support CI/CD pipeline maintenance and configuration
SQL & Data Operations
- Write and optimize basic SQL queries for data validation and troubleshooting
- Support database maintenance and performance tuning under supervision
On-Call Support
- Participate in on-call rotation to provide after-hours support for critical issues
- Escalate incidents appropriately and ensure timely resolution
Team Collaboration & Communication
- Work closely with DevOps, engineering, and analytics teams to resolve issues
- Communicate production status and incident updates to stakeholders
- Participate in team meetings and contribute to operational planning
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Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field
- 1–2 years of experience in production support, technical operations, or DevOps
- Basic proficiency in SQL and scripting (e.g., Python, PowerShell)
- Exposure to cloud platforms (preferably Azure) and ETL workflows
- Familiarity with DevOps tools and concepts is a plus
- Strong problem-solving skills and eagerness to learn
- Excellent communication and teamwork abilities
- Willingness to participate in on-call rotations