- Implement features that improve MDLinx and drive impact for its users, with the scope of independent ownership growing over time.
- Contribute to the design of software systems, and participate in the review of other engineers' code.
- Apply software engineering best practices, including automated testing, clean code, peer review, and documentation, to build maintainable and adaptable applications.
- Contribute to the performance, security, and compliance of MDLinx.
- Contribute to the repository context, conventions, automated tests, quality gates, and executable plans that make agentic coding reliable.
- Read AI-generated plans and code critically and raise what looks wrong. Developing this judgment is a primary objective of the first year in the role.
- Find repetitive or time-intensive engineering work that can move to AI-assisted or automated workflows, keeping human review where it protects quality, accuracy, and compliance.
- Troubleshoot bugs in pre-production and production, with support from senior engineers on the team.
- Work with people inside and outside engineering to meet team and company objectives.
- Contribute to projects that benefit M3 USA as a whole, collaborating across business units beyond your own team when the company needs it.
- Associate or bachelor's degree in computer science or a relevant field, or equivalent experience in software engineering.
- Participation in M3's AI training and upskilling. All engineers are expected to attend relevant sessions and engage with these initiatives, and consistent participation is a performance expectation.
- 1 to 3 years of software development experience. Internships, co-ops, academic project work, open-source contributions, and substantial personal projects count toward this.
- TypeScript and React, and Python. Working knowledge is sufficient; depth is expected to develop in the role.
- SQL and relational databases, and version control with Git.
- Familiarity with at least one major cloud platform. MDLinx runs on AWS, GCP, and Vercel, and you will not be expected to know all three coming in.
- Hands-on use of AI coding assistants, with the ability to describe where they helped and where their output needed correction.
- Interest in the media, content production, and pharmaceutical domain, with a commitment to learning it.
- Quick to learn whatever technologies MDLinx uses; with AI assistance, learning speed matters more than prior familiarity with any one stack.
- Clear communication with both technical and non-technical people, and willingness to ask questions early.
Benefits:
A career opportunity with M3USA offers competitive wages, and benefits such as:
- Health and Dental
- Life, Accident and Disability Insurance
- Prescription Plan
- Flexible Spending Account
- 401k Plan and Match
- Paid Holidays and Vacation
- Sick Days and Personal Day
*M3 reserves the right to change this job description to meet the business needs of the organization
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