Lead DevOps Engineer

RESPONSIBILITIES

Kforce has a client that is seeking a Lead DevOps Engineer in West Valley City, UT.

Summary

We are seeking a seasoned cloud and platform engineering leader to drive the design, implementation, and evolution of enterprise-scale cloud and AI infrastructure. This role will be responsible for establishing architectural direction, defining platform standards, and enabling scalable, secure, and efficient deployment of modern AI and cloud-native solutions across AWS and hybrid environments.

Key Responsibilities

• Define and communicate cloud infrastructure and AI platform strategies to technical teams, business leaders, and executive stakeholders
• Provide technical leadership for platform engineering initiatives, guiding teams on architecture, best practices, and operational excellence
• Partner with enterprise architecture and engineering teams to design and validate cloud-native solutions supporting both traditional and AI-driven workloads
• Establish standards for AI platform operations, including model lifecycle management, inference performance, resiliency, governance, and cost optimization
• Administer and optimize large-scale Kubernetes environments, including multi-cluster operations and workload orchestration
• Develop observability frameworks that provide insights into platform health, reliability, performance, and operational efficiency
• Drive automation initiatives that improve deployment speed, platform consistency, and infrastructure scalability
• Promote Infrastructure as Code and GitOps methodologies across engineering teams

REQUIREMENTS:

• 8+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Infrastructure roles
• Extensive hands-on experience managing Kubernetes environments at enterprise scale
• Proven experience designing and maintaining CI/CD pipelines and GitOps-based deployment models
• Advanced experience implementing Infrastructure as Code using tools such as Terraform, AWS CDK, or equivalent frameworks
• Experience implementing and managing observability, monitoring, and logging solutions in large enterprise environments
• Experience building secure and reliable AI infrastructure and supporting production AI workloads
• Strong scripting and automation expertise using Python, Bash, or similar languages
• Demonstrated expertise in cloud-native architecture, scalability, resiliency, and operational best practices
• Expertise in AWS networking, including VPC design, routing, load balancing, security controls, and connectivity services
• Deep knowledge of AWS services including compute, networking, storage, identity management, databases, and container platforms
• Strong understanding of enterprise security principles, compliance frameworks, and audit requirements
• Strong Linux administration and troubleshooting skills
• Ability to mentor engineers, influence technical direction, and foster engineering excellence across teams

Preferred Qualifications

• Experience deploying and supporting generative AI platforms, large language models, and AI-powered applications in production environments
• Experience with service discovery, platform networking, and distributed systems architecture
• Prior experience leading cloud, platform, DevOps, or AI infrastructure teams
• Familiarity with AWS AI services, including Bedrock and related AI orchestration technologies
• Strong background in designing highly available, mission-critical platforms supporting enterprise-scale workloads

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.

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