Lead Data Platform Engineer - Cloud & AI/ML

Alphanumeric Systems; United States; Remote; USD 116,000 - 120,000; Full time

Job summary

Alphanumeric is seeking a Lead Technical Consultant to work from the Research Triangle Park, NC area on a client engagement spanning biomedical and data platforms. The role emphasizes designing, building, and operating tools and services that deliver high value to business problems, while aligning with DevOps and data engineering teams.

The candidate should be technically strong, proactive in proposing solutions, and capable of backlog development and end-to-end delivery within a

Qualifications

• 5+ years of relevant experience.
• Degree in Computer Science/Software Engineering.
• Cloud infrastructure development, preferably Google Cloud.
• Strong software engineering with Python.

Responsibilities

• Design, build, and operate tools and services delivering high value to business problems.
• Develop key components of a scalable research data platform for scientists and collaborators.
• Represent Alphanumeric within the wider scientific community.
• Collaborate with Infra and DevOps to modify underlying tools and enable new use cases.
• Consult users on application scalability to handle PBs of data.
• Produce well-engineered software with automated tests, documentation, and operational strategy.
• Ensure consistent platform abstractions for logging and data lineage.
• Engage in code reviews and help raise team standards.
• Provide leadership to team members to help others deliver quality work.

Skills

Cloud infrastructure development

Python programming

SDL lifecycle

5 years experience

Remote collaboration

Education

Degree in Computer Science/Software Engineering

Job description

Alphanumeric is seeking a Lead Technical Consultant to work from the Research Triangle Park, NC area on a client engagement spanning biomedical and data platforms. The role emphasizes designing, building, and operating tools and services that deliver high value to business problems, while aligning with DevOps and data engineering teams.

The candidate should be technically strong, proactive in proposing solutions, and capable of backlog development and end-to-end delivery within a