As Sr Platform Engineer II at Nomad Health, you will work across systems and software engineering to build, monitor/observe, and scale internal and external systems, with a focus on Nomad’s machine learning systems. This position ensures that our ML systems are reliable and usable for our end users; they work closely with the development teams to build and maintain our systems and ensure they are performant and scalable. The Senior SRE’s focus is on managing infrastructure via IaC, data pipeline reliability, building cloud native systems, code optimizations, developer experience, telemetry, and automation.
You will have the opportunity to use your analytical and technical skills to make an impact at a high impact, healthcare tech company. You will play an integral role in designing and maintaining systems at scale. We value eager, self-directed, curious, problem-solving engineers who are open to working and learning from others.
- Design, develop, and maintain the next generation of scalable AI platform. Setting, implementing, and improving SLOs by designing and implementing SLIs and running production meetings
- Work closely with a small, dynamic team to build web services, APIs, and integrations to enhance the platform and make Nomad faster
- Collaborate with Product and Engineering partners in system design, management, capacity planning, and continued improvement of all systems
- Collaborate with Development teams on best practices, infrastructure setup, and planning activities with a focus on stability, performance, and scale
- Write clean, extensible code, and improve the architecture, frameworks, and toolkits used to build and maintain a stable and nimble technology stack
- Mentor engineering teams and evangelize reliability best practices
- Maintain and improve our CI/CD/CT pipelines
- Participate in 24/7 On-Call rotations, incident response, and blameless postmortems
- 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
- 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 managing
- Experience with GitOps, MLOps, and modern CI/CD practices
- Knowledge of Cloud Native Computing Foundation (CNCF) and the current landscape
- Experience with serverless platforms such as Cloud Functions, Cloud Run, AWS lambda, or other
Don’t meet every single requirement? We encourage you to apply – you may be just the right candidate for this or other roles at Nomad Health. Studies show that individuals from marginalized communities are less likely to apply for jobs unless they meet every requirement. Nomad Health is dedicated to a diverse, inclusive, and authentic culture.
The Company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee’s ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the Company reserves the right to change this position description and/or assign tasks for the employee to perform, as the Company may deem appropriate.
Nomad Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.
Compensation for this full-time position is between $164,500 to $222,500. This range reflects the minimum and maximum amount employees can earn during their time in the role. Actual pay may be higher or lower depending on geographic locations, skills, experience, and other factors permitted by law.
