Principal DevOps Engineer
About The Position
KēSTA I.T. is actively seeking a Principal DevOps Engineer for an immediate full-time opportunity with an industry-leading client. This role offers leadership, responsibility, and the chance to make a significant impact within a thriving and stable organization. We are seeking a technical leader with deep AWS and AI infrastructure expertise to join an enterprise technology organization. This role plays a key part in architecting and driving cloud and AI infrastructure strategy across AWS and private cloud environments. The Principal DevOps Engineer will establish platform standards that enable Bedrock-backed agents, agentic workflows using AgentCore, and high-throughput LLM serving to operate reliably, securely, and cost-effectively at enterprise scale. This position combines hands-on technical depth with architectural leadership, platform strategy, and mentorship. The ideal candidate has extensive experience building enterprise-scale AWS and Kubernetes environments and is comfortable establishing the infrastructure and operational standards required to support emerging AI workloads.
Requirements
- 8+ years of experience in DevOps, platform engineering, cloud infrastructure, or a related discipline
- Extensive experience administering Amazon EKS or Kubernetes within enterprise-scale environments
- Advanced scripting experience using Bash and Python
- Extensive experience designing and managing CI/CD pipelines and GitOps workflows using GitHub Actions, ArgoCD, or similar technologies
- Deep experience with AWS services, including EC2, VPC, S3, EKS, IAM, CloudFront, ALB/NLB, and RDS
- Strong experience designing Infrastructure as Code and cloud-native architectures using Terraform and AWS CDK
- Extensive Linux systems administration experience
- Proven expertise with AWS cloud and AI infrastructure, including Amazon Bedrock, AgentCore, and cloud-native architecture patterns
- Experience deploying and operating agentic AI systems within AWS, including AgentCore and Bedrock Agents
- Strong experience with Dynatrace and enterprise observability strategies, including monitoring AI workloads
- Experience with centralized logging and monitoring technologies such as CloudWatch and Dynatrace
- Deep understanding of cloud networking, including AWS VPC, Transit Gateway, security groups, load balancing, and routing
- Strong understanding of cloud-native principles, Infrastructure as Code, and GitOps methodologies
- Knowledge of CIS, NIST, and SOX compliance frameworks and associated audit processes
- Strong understanding of security governance and compliance requirements for cloud and AI environments
- Experience with service discovery technologies such as AWS Cloud Map and Consul
- Demonstrated ability to mentor and develop engineers at multiple levels
- Ability to communicate complex infrastructure and architecture concepts effectively to both technical and business stakeholders
Responsibilities
- Architect cloud and AI platform strategies and clearly communicate proposed solutions to both technical and non-technical stakeholders
- Provide technical leadership to engineering team members, manage work priorities, and establish technical direction for cloud infrastructure and AI platform practices
- Collaborate with architecture leadership to define, design, and validate solution architectures for platform and AI application workloads running on AWS
- Establish platform standards for AI workload deployment, including model versioning, inference-serving patterns, cost-per-inference governance, and AI API reliability
- Administer and architect Amazon EKS environments at enterprise scale, including multi-cluster federation and AI workload scheduling policies
- Design and implement enterprise observability strategies using Dynatrace, including service-performance SLOs, cost dashboards, AI workload monitoring, and incident response
- Establish cloud-native architecture, Infrastructure as Code, and GitOps standards that support scalable and repeatable platform operations
- Help ensure cloud and AI infrastructure meets enterprise requirements for security, reliability, performance, compliance, and cost efficiency
- Mentor and develop engineers across multiple levels while promoting platform engineering and DevOps best practices
Benefits
- Top performance is rewarded
- Personal time is valued
- Excellence is demanded at every level
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
