​This is an early-career, full-time Associate Engineer, Product Support role within the Data & Analytics team at Trinity Life Sciences. This position is focused on supporting system reliability, production release management, and enhancing monitoring capabilities in a fast-paced environment. The role is ideal for a candidate with foundational knowledge in SQL, scripting, and cloud platforms who is eager to learn and participate in on-call rotations.

• ​Location: Remote, US (Remote, MA listed for context).
• ​Salary Range: $70,000.00 – $85,000.00 Salary.
• ​Experience: 1–2 years of experience in production support, technical operations, or DevOps.
• ​Focus: Production monitoring, incident response, assisting with release execution, basic SQL queries, and contributing to automation using DevOps tools.

​Key Responsibilities: Monitoring, Releases, and On-Call

​The Associate Engineer contributes to operational stability and collaborates with various technical teams.

• ​Production Monitoring & Incident Response: Monitor production systems to ensure uptime, respond to alerts, and troubleshoot issues under guidance from senior team members. Document all incidents and resolutions.
• ​Production Release Management: Assist in coordinating and executing production releases. Validate deployments and ensure proper rollback procedures are in place.
• ​Automation & DevOps Support: Assist in automating routine support tasks and deployment processes. Learn and apply DevOps tools and practices (e.g., Git, Jenkins, Docker) and support CI/CD pipeline maintenance.
• ​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 and ensure timely escalation.

​Required Qualifications and Technical Skills

​The role requires a technical degree and basic proficiency in key operational and data technologies.

• ​Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
• ​Technical Proficiency: Basic proficiency in SQL and scripting (e.g., Python, PowerShell).
• ​Cloud Exposure: Exposure to cloud platforms (preferably Azure) and ETL workflows.
• ​DevOps: Familiarity with DevOps tools and concepts is a plus.
• ​Soft Skills: Strong problem-solving skills, excellent communication and teamwork abilities, and an eagerness to learn.