Senior Cloud/DevOps Engineer (AI Infrastructure)

Requirements: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experienceAt least 5 years of hands-on experience designing and implementing AWS solutionsAt least 5 years of experience using Terraform to manage complex AWS infrastructureAt least 5 years of experience building and maintaining CI/CD pipelines with GitHub ActionsExpertise with AWS services, including EC2, VPC, S3, RDS, Lambda, and IAM; experience with EKS, ECS, or serverless services is valuedStrong understanding of networking concepts, including VPCs, subnets, routing, security groups, NACLs, and VPNsProficiency in at least one scripting language, such as Python, Bash, or GoSolid knowledge of Docker and orchestration technologies such as Kubernetes, ECS, or EKSExperience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, or the ELK stackExperience with AI/ML workflows, including model serving, versioning, inference, monitoring, and drift detection; familiarity with AWS Bedrock, SageMaker, or equivalent platformsUnderstanding of production system needs, including scalability, fault tolerance, monitoring, and cost optimizationExcellent communication, presentation, and collaboration skills, including the ability to explain complex technical concepts to technical and non-technical audiencesAbility to work independently and collaboratively in a fast-paced, agile environmentAWS Certified Solutions Architect – Professional certification is highly preferredAWS Certified DevOps Engineer – Professional certification

Responsibilities: Design, deploy, and manage secure, scalable, fault-tolerant AWS infrastructure for AI applicationsUse AWS services such as VPC, EC2, S3, RDS, ECS/EKS, and Lambda to support AI workloadsApply and enforce security practices, including IAM, security groups, and encryptionProvision and manage cloud resources with Terraform, maintaining reusable, version-controlled modulesManage Terraform infrastructure across multiple AWS accounts and maintain consistent configuration, version control, and drift detectionDevelop, manage, and improve CI/CD pipelines using Git and GitHub Actions to support rapid feedback and zero-downtime releasesAutomate deployment, testing, and monitoring for infrastructure and application code, ensuring reliable microservices deploymentsSupport containerized applications using Docker and ECS or EKS, and implement service discovery, load balancing, and monitoringWrite and maintain scripts for automation, configuration, and operational tasks

Technologies: AIAWSLambdaArchitectBashCI/CDCloudCloudWatchDevOpsDockerEC2ELKGitGitHubGrafanaIAMSupportKubernetesLoad BalancingModel ServingPrometheusPythonSecurityServerlessTerraformmicroservices More: We are seeking a hands-on Senior Cloud/DevOps Engineer to partner with our AI team and build, maintain, and scale the secure, high-performance AWS infrastructure and CI/CD practices that support our AI/ML models and microservices. This role calls for strong problem-solving skills and the ability to connect business needs with technical delivery. The position is in person, pays $70–$80 per hour, and is expected to involve 40 hours per week. last updated 45 week of 2026