26 to 50 of 1,025 Amazon EKS Jobs

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types More ❯

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types More ❯

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types 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 ❯

to improve collaboration, efficiency, and quality. Proficiency in scripting languages such as Python and Bash. Knowledge of containerization technologies like Docker and Kubernetes, and their implementation on AWS (e.g., EKS, ECS). Experience with JIRA or similar ticketing systems for task tracking and management. On-the-job experience with sponsor's policies, security practices, regulations, and standards About Us 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 ❯

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 to ship features More ❯

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 to ship features More ❯

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 Organizations, accounts, and permission More ❯

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … CD, AWS CodePipeline, and Code Deploy, experience with revision control source code repositories (Git, SVN, Mercurial, Perforce). - Containerize applications using Docker, and manage container orchestration platforms like Kubernetes (EKS) or AWS Elastic Container Service (ECS) or Argo CD. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM 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 ❯

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 ❯

with CI/CD pipelines and Git-based workflows. Background in observability (Prometheus, Grafana, or similar). Experience with Rancher Suite (Harvester, Longhorn, KubeVirt). Prior work with AWS (EKS, S3, Lambda, RDS) or other cloud platforms. Maintain and improve documentation and internal development standards Apply Now More ❯

with CI/CD pipelines and Git-based workflows. Background in observability (Prometheus, Grafana, or similar). Experience with Rancher Suite (Harvester, Longhorn, KubeVirt). Prior work with AWS (EKS, S3, Lambda, RDS) or other cloud platforms. Maintain and improve documentation and internal development standards In our 2023/24 employee survey, Jovian Concepts earned a 92% Overall Workplace 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 ❯

monitor our AWS cloud infrastructure (compute, storage, networking) to ensure high availability, security, and performance across all environments. Container Orchestration: Oversee containerisation and orchestration using Docker and Kubernetes (AWS EKS), optimising resource usage and deployment workflows for scalability. Infrastructure as Code: Implement and manage infrastructure-as-code configurations with Terraform and AWS CloudFormation to handle multi-environment setups and … delivery. Requirements : Experience: Strong experience in DevOps, SRE, or related roles managing cloud infrastructure and CI/CD pipelines in a production environment. AWS Expertise: Strong expertise in Amazon Web Services - hands-on experience designing and managing AWS infrastructure … EC2, S3, RDS, VPC, IAM, etc.) following best practices for security, scalability, and reliability. Containerisation : Proven experience with Docker and Kubernetes (deploying and operating production clusters, ideally on AWS EKS). CI/CD Pipelines: Proficiency in setting up and maintaining CI/CD pipelines using tools like GitHub Actions (or similar systems such as Jenkins, GitLab CI). More ❯

essential to adapt to schedule changes if needed. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call work. Benefits $152,000-$225,000 salary per year, depending on experience. More ❯

Duties & Responsibilities: Must be authorized to work in the US Active TS/SCI w/appropriate level Polygraph required Experience with AWS (S3, VPCs & Networking, EC2, ECS/EKS) Experience with containerization (Docker, Kubernetes, Registries) Experience with IaC (Terraform/Cloud Formation) Experience with CI/CD (Jenkins/Gitlab/Github Actions) Experience creating, managing, and troubleshooting More ❯

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 More ❯