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Principal MLOps Platform Engineer

Roles & Responsibilities

  • Deep AWS operational expertise
  • Strong observability skills
  • Proven container orchestration experience
  • Kubernetes/CNCF certifications

Requirements:

  • Build IaC with Terraform or AWS CDK
  • Implement CI/CD (CodePipeline, GitHub Actions, GitLab CI)
  • Configure CloudWatch and OpenTelemetry for LLM observability
  • Manage environment isolation and prompt/model versioning

Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
 
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. 
 
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. 
 
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 

The MLOps Platform Engineer will own the deployment, IaC, observability, runtime management and cost governance across all layers of the Agentic Platform. 

Responsibilities
  • Build IaC with Terraform or AWS CDK. 
  • Implement CI/CD (CodePipeline, GitHub Actions, GitLab CI). 
  • Configure CloudWatch and OpenTelemetry for LLM observability. 
  • Manage environment isolation and prompt/model versioning. 
  • Implement containerization with Docker, ECS Fargate, or EKS. 
  • Track platform costs using CloudWatch budgets. 

  • Qualifications
  • Deep AWS operational expertise. 
  • Strong observability skills. 
  • Proven container orchestration experience. 
  • High bar for reliability and cost efficiency. 
  • Bachelor’s degree in Computer Science, Information Systems, or similar.
  • AWS Solutions Architect Associate or Professional certification.
  • Kubernetes/CNCF certifications.
  • The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.  
     
    Why AHEAD:
     
    Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
     
    We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
     
    USA Employment Benefits include: 
    - Medical, Dental, and Vision Insurance 
    - 401(k) 
    - Paid company holidays 
    - Paid time off 
    - Paid parental and caregiver leave 
    - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. 
     
    Use of AI:
    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
     
    If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com
     
    You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview.  Candidates will not be penalized for choosing to opt-out.

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