Full-Time Senior Platform Engineer II - Data Engineering
Nomad Health is hiring a remote Full-Time Senior Platform Engineer II - Data Engineering. The career level for this job opening is Senior Manager and is accepting USA based applicants remotely. Read complete job description before applying.
Nomad Health
Job Title
Posted
Career Level
Career Level
Locations Accepted
Salary
Share
Job Details
Nomad Health is the first digital marketplace for healthcare jobs, efficiently connecting quality clinicians with rewarding career opportunities.
We are a well-funded Series D startup with a focus on modernizing healthcare staffing.
As Sr Platform Engineer II, you will work across systems and software engineering to build, monitor/observe, and scale internal and external systems, focusing on Nomad's machine learning systems. This role ensures reliability and usability for end-users, working closely with development teams to build and maintain performant, scalable systems.
Responsibilities:
- Design, develop, and maintain the next generation of scalable AI platform.
- Set, implement, and improve SLOs by designing and implementing SLIs and running production meetings.
- Collaborate with Product and Engineering partners in system design, management, capacity planning, and improvement of all systems.
- Collaborate with Development teams on best practices, infrastructure setup, and planning activities focused on stability, performance, and scale.
- Write clean, extensible code, and improve architecture, frameworks, and toolkits.
- Mentor engineering teams and evangelize reliability best practices.
- Maintain and improve CI/CD/CT pipelines.
- Participate in 24/7 On-Call rotations, incident response, and blameless postmortems.
Requirements:
- Experience with Python, Node/Javascript, or similar.
- Experience with GCP, AWS, CDNs, and/or other Cloud Services
- Experience with Kubernetes
- Experience with IAC tools like Terraform, Pulumi, or other
- Experience with CI/CD platforms (CircleCI, ArgoCD, Github Actions)
- Experience with Data Engineering and related pipelines
- Experience managing SQL, NoSQL, and/or other data stores
- Experience with machine learning architecture and/or data pipelines
- Experience with Service Level Objectives (SLOs).
- Experience with running incident response and post-mortem.
Preferred:
- Experience with Linux systems and shell scripts
- Experience with frameworks like Flask, FastAPI, Django, Celery, React, Next, or other
- Experience with Airflow or other workflow orchestration platforms
- Experience in managing cloud networking
- Experience or Familiarity with running SLO workshops and reviews
- Experience with GitOps, MLOps, and modern CI/CD practices
- Knowledge of Cloud Native Computing Foundation (CNCF) and the current landscape
- Experience with serverless platforms.