1 to 25 of 489 Remote Amazon EKS Jobs

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 language Proficient … help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline More ❯

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 language Proficient … help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline More ❯

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 language Proficient … help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline More ❯

wider organization. He must be an expert with experience with continuous integration, automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) with Squid Proxy, NGINX with AWS services - IAMS, WAFS, SQSBYOK, Helm, Kubernetes, Docker, Ingress, Kafka, Elastic Search, Pega exp must. Key responsibilities include: Design and implement automated … experience is a MUST. Understanding of the Linux Operating System, standard network protocols and security hardening. Proven experience using AWS Cloud Solutions and services such as EC2, S3, Lambda, EKS, API Gateway, ALB, API Gateway, Auto scaling, etc. In-depth knowledge in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) is mandatory. Experience in creating automation frameworks using … SCM branch strategies using Git. Experience with unit testing and automated testing tools (such as ReadyAPI, Cucumber, etc.). Familiarity with microservices architecture and container orchestration with Kubernetes (Preferably EKS). Experience in managing and scaling distributed systems in AWS cloud environments across multiple projects. Experience with deploying, supporting, and supervising new and existing services, platforms, and application stacks. More ❯

Java, or Node.js, and experience with serverless computing (AWS Lambda) Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and familiarity with container orchestration on AWS (Amazon EKS) Strong understanding of DevOps principles and experience with CI/CD pipelines using tools like AWS Code Pipeline, Jenkins, or GitLab CI/CD Excellent problem-solving skills and More ❯

Cloud skills We are multi-cloud, however most of 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 More ❯

Cloud skills We are multi-cloud, however most of 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 More ❯

Cloud skills We are multi-cloud, however most of 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 More ❯

Cloud skills We are multi-cloud, however most of 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 More ❯

a degree We are multi-cloud, however most of 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 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 … MLOps experience with a strong focus on building 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 More ❯

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 language Proficient … help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps UtilisingCI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯

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 language Proficient … help you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps UtilisingCI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery 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 … MLOps experience with a strong focus on building 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 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 … MLOps experience with a strong focus on building 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 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 … MLOps experience with a strong focus on building 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 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 … MLOps experience with a strong focus on building 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 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 … MLOps experience with a strong focus on building 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 More ❯

Organizations, SCPs, Secrets Manager, AWS Config, GuardDuty, Security Hub, CloudTrail, and AWS KMS for encryption, ensuring robust cloud security. • Threat Detection & Compliance: Implementation of AWS security tools like Amazon Detective, AWS Shield, WAF, AWS Firewall Manager, enforcing security compliance standards such as ISO 27001, SOC2, GDPR, and NIST frameworks. • Collaborate with Solution Architects: Work closely with solution architects …/TLS/mTLS, along with AWS Shield for DDoS protection, AWS WAF for web security, VPC segmentation, and automated vulnerability scanning. • Container Security & Orchestration: Expertise in Docker, ECS, EKS, Kubernetes, implementing security best practices like image vulnerability scanning, Kubernetes RBAC, IAM Roles for Service Accounts (IRSA), Pod Security Policies, and automated compliance enforcement. • Infrastructure Automation & Security: Strong experience … Proficient in Jenkins, Git, GitHub Actions, ensuring secure CI/CD pipelines with artifact encryption, automated security scanning, and DevSecOps best practices. • Cloud-Based Database Security: Experience managing Amazon RDS, DynamoDB, ElastiCache, enforcing database encryption (KMS), automated backups, fine-grained access controls, and data integrity monitoring. • Cost Optimization & FinOps: Drive cloud cost optimization strategies using AWS Cost Explorer More ❯

as-code (IaC) practices, automation tools (e.g., Terraform, Ansible) and scripting languages (e.g. Python, Ruby) Container Orchestration: Knowledge of container orchestration platforms (e.g., Kubernetes) and their managed counterparts (e.g., EKS, AKS, GKE) Public Cloud Expertise: Understanding of cloud services, architecture, and best practices in one or more major public cloud providers (AWS, Azure, GCP) DevOps Practices: Strong experience with More ❯

like AWS CodePipeline, GitHub Actions, GitLab CI, or Jenkins. * Automate deployment, scaling, and monitoring of cloud applications and services. * Implement and manage containerised workloads using Amazon ECS, EKS, or Fargate. * Configure and manage observability stacks including CloudWatch, Prometheus, * Support and execute cloud migration projects following the AWS Migration Acceleration Program (MAP) methodology-covering the Assess, Mobilise, and … preferred) or CloudFormation. * Experience with CI/CD tools and creating automated deployment pipelines. * Strong scripting skills (Python, or similar). * Hands-on experience with Docker and container orchestration (EKS, ECS, or * Familiarity with monitoring, alerting, and logging tools. * Solid understanding of networking, security, and system administration * AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect Associate/Professional More ❯

is being built to be inter-operable across department, service, or cyberspace partners. It is presently an operational system. The Enterprise Service Center (ESC) effort is to provide Amazon Web Services (AWS) cloud system administration and help desk support for all cloud hosting environments and associated applications. The Work: As a functional expert supporting the ESC, you will … Martin's comprehensive benefits package here! We support our employees, so they can support our missions. Basic Qualifications: -IAT level II Certification -proficiency in AWS tools such as: Kubernetes, EKS, Diode, Lambda etc. (not all inclusive) orchestrated/deployed in a cloud environment 1) A bachelor's degree in related field with 4 years of experience in this field More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record designing and More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record designing and More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record designing and More ❯