DevOps Engineering Internship

DevOps Engineer Intern

Location: Remote, United States

Employment Type: Intern

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle - from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites market-leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision-making. We help our clients:

Make data driven commercial and financial decisions

Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella's investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

We're looking for a curious and driven CloudOps AI Intern to join our infrastructure team as we evolve our AWS cloud operations with AI.

You need a hunger to learn, a problem-solving mindset, and an interest in how AI is transforming the way modern infrastructure is built and managed.

You'll be embedded with senior engineers, learning AWS fundamentals while directly contributing to our AI-driven operations initiatives.

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.)

Participate in team standups, incident reviews, and planning sessions to gain exposure to real-world CloudOps practices

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

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.

All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.