1 to 25 of 1,472 Permanent Amazon EC2 Jobs

are looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible More ❯

are looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible More ❯

knowledge Artificial Intelligence: Well versed in prompt engineering and utilizing popular AI tools to accelerate workload Desired Tools: CI/CD tools: Gitlab, Nexus Managed Artifacts, AWS: AWS EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka More ❯

fundamental AWS networking) Containerization using Docker and Kubernetes Strong understanding of API Design, testing, development and management Tools: CI/CD tools: Gitlab, Nexus Managed Artifacts, AWS: AWS EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka More ❯

a plus Containerization knowledge of Docker and Kubernetes Strong understanding of API Design, testing, development and management Tools: CI/CD tools: Gitlab, Nexus Managed Artifacts, AWS: AWS EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka More ❯

Build, maintain and monitor configuration standards. Maintain day-to-day management and administration of projects. Manage our Continuous Deployment pipeline. Document and design various processes; update existing processes. Technologies EC2, ECS, RDS, S3, Cloudfront, WAF, API Gateway, Lambda, Elasticache, Elasticsearch, SQS, SNS, EKS CI/CD (Jenkins, Github, Python) Infrastructure as Code (Terraform, Ansible, Packer, Hashicorp Vault) Messaging/ More ❯

are looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible More ❯

are looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible More ❯

and be comfortable working in high-pressure, agile environments supporting U.S. Government and DoD initiatives. Key Responsibilities Design and implement secure, scalable cloud architectures using AWS services such as EC2, Lambda, S3, RDS, and VPC. Automate infrastructure provisioning and configuration using Terraform, Ansible, and AWS CloudFormation. Develop and maintain CI/CD pipelines using Git, Jenkins, and GitLab. Write More ❯

and be comfortable working in high-pressure, agile environments supporting U.S. Government and DoD initiatives. Key Responsibilities Design and implement secure, scalable cloud architectures using AWS services such as EC2, Lambda, S3, RDS, and VPC. Automate infrastructure provisioning and configuration using Terraform, Ansible, and AWS CloudFormation. Develop and maintain CI/CD pipelines using Git, Jenkins, and GitLab. Write More ❯

various teams (including 3rd parties) for support escalation. You are a good fit if: You have previously worked with Amazon AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in containerisation within Kubernetes and Docker and are familiar More ❯

our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations, GCP Folders and Projects What we offer We offer the opportunity to play an important More ❯

our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations, GCP Folders and Projects What we offer We offer the opportunity to play an important More ❯

our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations, GCP Folders and Projects What we offer We offer the opportunity to play an important More ❯

our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations, GCP Folders and Projects What we offer We offer the opportunity to play an important More ❯

and APIs using Python (e.g., FastAPI, Django, Flask) Integrate frontend and backend components to deliver seamless user and data experiences Manage cloud infrastructure and deployments using AWS services (e.g., EC2, ECS/EKS, Lambda, S3, RDS, IAM) Set up and maintain CI/CD pipelines, infrastructure-as-code (e.g., Terraform, CloudFormation) Collaborate with product managers, designers, and other engineers More ❯

. Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI). Hands-on experience with cloud infrastructure services, including compute, storage, networking, and databases (e.g., EC2, S3, Lambda, RDS, GCP, Azure App Services). Familiarity with container orchestration tools (Docker, Kubernetes). Knowledge of Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation. Solid understanding More ❯

a related field, or equivalent professional experience. 3–8 years of experience in DevOps, Site Reliability Engineering, or Infrastructure roles. Strong experience with public cloud environments, particularly AWS (e.g., EC2, S3, RDS, IAM, EKS). Familiarity with AWS ETL services (e.g., Glue Jobs, Athena, Firehose). Experience with AWS migration tools (e.g., DMS, DataSync). Ability to manage AWS … or hybrid cloud architectures. Tech Stack: Cloud: AWS, OCI ZTN: Cloudflare Application: Kong (API Gateway), Java Spring Boot, Python, Go, TypeScript Monitoring: Prometheus Stack (Prometheus, Grafana, Loki) Compute: ECS, EC2, Lambda Frontend: S3, CloudFront Data: Glue, S3, PostgreSQL CI/CD: GitHub Actions IaC: Terraform, AWS SAM Why Join Us? At Intelmatix, you’ll work on impactful technology alongside More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker , Bedrock Implement Infrastructure-as-Code with AWS CDK , CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions , AWS CodePipeline , CodeBuild … and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation . Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker More ❯

and the services that it offers. What You Need to Know & Show: Have strong demonstratable understanding of AWS in an enterprise environment. Extensive experience with AWS services such as EC2, S3, RDS, VPC, Lambda, CloudFormation, IAM, CloudWatch, Route 53, and Networking. Proficiency in scripting languages,Python, JavaScript, TypeScript, NodeJS, ReactJSor similar tooling Substantial experience in Terraform, CloudFormation, AWS CLI More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. More ❯