Responsibilities:** + Shadow and assist senior CloudOps engineers as they integrate AI tooling into day-to-day AWS infrastructure workflows + Help research, test, and document AI tools and LLM-based solutions for use cases like automated alerting, log analysis, and runbook generation + Write basic automation scripts (Python or Bash) to support operational tasks + Assist with monitoring dashboards and help surface insights using AI-powered observability tools on AWS (CloudWatch, New Relic, DataDog, etc.) + Contribute to knowledge base articles, internal wikis, and process documentation + Participate in team standups, incident reviews, and planning sessions to gain exposure to real-world CloudOps practices **Qualifications:** + Currently pursuing a degree in Computer Science, Information Technology, Software Engineering, or a related field + Genuine curiosity about AI and how it can be applied to real-world technical problems + Willingness to learn AWS on the job + Basic programming exposure - Python, Bash, or any scripting experience is helpful + Strong written communication skills for documentation and async collaboration + A self-starter attitude with the ability to ask good questions and take initiative **Nice to Have** + Any hands-on experimentation with AI tools (ChatGPT, Copilot, API integrations, etc.) + Exposure to Linux command line or basic networking concepts + Interest in DevOps, SRE, or platform engineering as a career path **Salary: $ 24 per hour.** We help our clients: + Accelerate the drug development cycle + Assess competition and bring the right drugs to market + Make data driven commercial and financial decisions + Match and recruit patients for clinical trials + Identify and address barriers to therapies Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers.