Senior DevOps/Cloud Platform Engineer

Job Summary

We are looking for a highly skilled Senior DevOps / Cloud Platform Engineer with 58 years of experience in designing, deploying, and managing secure, scalable, and highly available cloud infrastructure on AWS.

The ideal candidate will have extensive hands-on experience with AWS, Amazon EKS, Kubernetes, CI/CD automation, infrastructure as code, and cloud security. This role also requires experience supporting AI workloads, including deploying and optimizing Large Language Models (LLMs) on CPU and GPU infrastructure.

You will work closely with software engineers, AI/ML engineers, architects, and security teams to build and maintain cloud platforms that are secure, resilient, cost-efficient, and compliant with SOC 2 and HITRUST requirements.

Responsibilities

Cloud Infrastructure

• Design, deploy, and manage scalable, highly available, and secure AWS infrastructure.
• Architect cloud environments capable of supporting enterprise-scale applications and AI workloads.
• Optimize infrastructure for performance, reliability, scalability, and cost.
• Implement high availability, disaster recovery, backup, and failover strategies.
• Design multi-environment infrastructure (Development, QA, UAT, Production).

Kubernetes Container Platform

• Design, deploy, and manage production-grade Kubernetes clusters using Amazon EKS.
• Optimize Kubernetes workloads for high availability and resource utilization.
• Configure namespaces, RBAC, network policies, autoscaling, ingress controllers, and service meshes where applicable.
• Troubleshoot Kubernetes networking, scheduling, storage, and performance issues.
• Manage rolling deployments, blue-green deployments, and canary releases.

AWS Services

Strong hands-on experience with:

• Amazon EKS
• Amazon EC2
• Auto Scaling Groups
• Elastic Load Balancer (ALB/NLB)
• Amazon S3
• Amazon RDS
• AWS Lambda
• Amazon ECR
• Amazon CloudWatch
• IAM
• Route 53
• VPC
• NAT Gateway
• Security Groups
• AWS WAF
• AWS Secrets Manager
• Systems Manager (SSM)
• CloudFront
• EventBridge
• SNS
• SQS

CI/CD DevOps Automation

• Design and implement end-to-end CI/CD pipelines.
• Automate application deployments across multiple environments.
• Implement infrastructure automation and GitOps practices.
• Build deployment strategies with minimal downtime.
• Integrate automated testing, security scanning, and quality gates into CI/CD pipelines.

Experience with:

• GitHub Actions
• Jenkins
• GitLab CI
• ArgoCD

Infrastructure as Code

Develop and manage infrastructure using:

• Terraform
• AWS CloudFormation
• Kubernetes YAML

AI LLM Infrastructure

• Deploy and manage Small Language Models (SLMs) and Large Language Models (LLMs) in production environments.
• Build scalable inference infrastructure for AI workloads.
• Configure GPU-enabled Kubernetes nodes for model serving.
• Optimize CPU and GPU utilization for AI inference.
• Manage model deployments, scaling, versioning, and monitoring.
• Support vector databases and AI inference services.
• Work closely with AI/ML engineers to optimize model performance and infrastructure costs.

Database Infrastructure Performance

• Deploy and manage Amazon RDS databases.
• Monitor and optimize database performance.
• Implement backup, recovery, and replication strategies.
• Tune database configurations for high-throughput applications.
• Monitor slow queries, indexing strategies, and connection pooling.
• Collaborate with engineering teams on database performance optimization.

Monitoring Observability

Implement monitoring and observability using:

• CloudWatch
• Prometheus
• Grafana
• ELK / OpenSearch
• Loki

Responsibilities include

• Infrastructure monitoring
• Application monitoring
• Log aggregation
• Alerting
• Capacity planning
• Incident response

Security Compliance

• Implement AWS security best practices.
• Design secure IAM policies and access controls.
• Manage secrets and encryption.
• Perform infrastructure hardening.
• Ensure compliance with SOC 2, HITRUST, HIPAA.
• Participate in security audits and vulnerability remediation.
• Maintain audit logs and infrastructure documentation.

Cost Optimization

• Continuously optimize AWS infrastructure costs.
• Right-size EC2 instances and EKS node groups.
• Optimize storage and networking costs.
• Implement Savings Plans and Reserved Instances where appropriate.
• Optimize GPU utilization for AI workloads.
• Monitor cloud spending and recommend cost-saving initiatives.

Requirements

Required Qualifications

• Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
• 58 years of hands-on experience in DevOps, Cloud Engineering, or Platform Engineering.
• Strong experience designing and managing production AWS environments.
• Extensive experience with Kubernetes and Amazon EKS.
• Experience managing enterprise-scale cloud infrastructure.
• Proven experience automating deployments and infrastructure management.

Required Technical Skills

Cloud Platforms

• Amazon Web Services (AWS)

AWS Services

• Amazon ECS
• Lambda
• ECR
• Systems Manager
• WAF
• Secrets Manager

Containers Orchestration

• Docker
• Kubernetes

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.