DevOps Engineer / Machine Learning Operations
Role: DevOps EngineerCompany: Kforce Inc
Job description
Responsibilities Kforce has a clienti n Greenwood Village, CO that is seeking a DevOps Engineer/Machine Learning Operations. Summary: We are partnering with a leading enterprise client to find a Senior DevOps Engineer to support their Data Science & Experimentation team. This individual will play a key role in deploying and scaling internal AI-driven infrastructure with a strong emphasis on ML Ops, Kubernetes, and vector database technologies. About the Team: Our client's data science team is responsible for building the infrastructure and tooling that powers the full machine learning lifecycle. This includes CI/CD pipelines, ML Ops workflows, and the underlying systems that support internal generative AI platforms. Key Responsibilities: • Deploy and manage containerized services in Kubernetes (EKS) environments • Implement and maintain vector database solutions (preferably PostgreSQL with pgvector) • Build and support CI/CD pipelines using GitLab • Develop and manage Infrastructure as Code using Terraform (CloudFormation knowledge is a plus) • Implement and maintain monitoring and observability solutions (Datadog preferred; Flexible to similar tools) • Collaborate closely with data scientists to support machine learning workflows • Support cloud-native microservices in AWS that interface with Azure OpenAI APIs Requirements • Kubernetes (EKS) experience • PostgreSQL experience (Aurora preferred), including pgvector • AWS Cloud Infrastructure experience • GitLab for CI/CD experience (GitHub Actions acceptable) • Terraform experience • Experience with monitoring & observability tools (Datadog preferred) Nice-to-Have Skills: • Familiarity with Large Language Models (LLMs) and related terminology • Knowledge of RAG (Retrieval-Augmented Generation) architecture • Exposure to Azure OpenAI and general Azure cloud services • Experience with vector databases like Pinecone or Weaviate The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Requirements
• Kubernetes (EKS) experience
• AWS Cloud Infrastructure experience
• GitLab for CI/CD experience (GitHub Actions acceptable)
• Terraform experience
• Familiarity with Large Language Models (LLMs) and related terminology
• Knowledge of RAG (Retrieval-Augmented Generation) architecture
• Exposure to Azure OpenAI and general Azure cloud services
• Experience with vector databases like Pinecone or Weaviate
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Job Type
Contractor role
Skills required
Kubernetes, CI/CD, Azure
Location
Englewood, Colorado
Salary
$64.33 - $74.89
Date Posted
July 2, 2025
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Kforce Inc
Kforce Inc is seeking a DevOps Engineer/Machine Learning Operations in Englewood, Colorado, to support their Data Science & Experimentation team. The role focuses on deploying and scaling AI-driven infrastructure with an emphasis on ML Ops and Kubernetes.
