1 to 25 of 230 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 ❯

reliability. Skills and Experience You Will Need: Required: 5+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience. Deep expertise in AWS services, including EC2, Lambda, S3, EKS/ECS, RDS, CloudFront, IAM, and VPC. Strong scripting skills (Python, Bash, or Go) and proficiency with containerization (Docker, Kubernetes). Experience with IaC (Terraform or CloudFormation) and CI More ❯

CodePipeline, CodeBuild, CodeDeploy, CodeArtifact) Secrets Management: AWS Secrets manager, secrets server Cloud & Containers: IAM, Lambda, EC2, ASGs/Launch Templates, AWS WAF, CloudFront, API GW, AWS Organizations, S3, ECS, EKS, Route 53, ELBs, OpenShift, Kubernetes, Docker Languages: TypeScript, Python Security & Scanning: AWS Guardrails, Checkov, Prisma Cloud, OSV Scanner, SonarQube, Renovate Observability & Logging: CloudWatch, OpenSearch Operating System Management: RedHat Satellite 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 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 ❯

stores – RDS, DynamoDB, ElastiCache, Solr Jira and Agile methodologies Desired Skills & Knowledge Experience with OpenTelemetry Experience of managingKubernetes cluster and containerisation AWS and IaC – Terraform, CloudFormation, VPC, IAM, EC2, EKS, Lambda, RDS, S3, CloudWatch, puppet, docker Experience building and running monitoring infrastructure at a large scale. For example, Elasticsearch clusters, Prometheus, Kibana, Grafana, etc Web applications and HTTP servers 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 ❯

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 ❯

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 ❯

practices. Proficient with observability tools (Prometheus, Grafana, OTEL, Cloudwatch) and telemetry pipelines. Solid programming skills in Python and/or Go; Java experience a plus. Hands-on AWS expertise (EKS, SQS, RDS, EC2, Lambda, Cloudwatch, etc.). Strong Linux and networking fundamentals (TCP, DNS, TLS, HTTP). Familiarity with IaC (Terraform), CI/CD (GitHub Actions, Jenkins), and Agile More ❯

GitLab CI, or AWS CodeBuild. Scripting experience with Bash, Python, or similar. Strong understanding of networking (DNS, TCP/IP, VPN, firewalls). Knowledge of containerization technologies (Docker, ECS, EKS, or Kubernetes). Experience with monitoring/logging tools such as CloudWatch, ELK Stack, Prometheus/Grafana. Excellent problem-solving skills and the ability to work independently. Preferred Qualifications More ❯

FOR PEOPLE WITH Hands-on experience working with AWS in multi-account organisations. Expertise in configuring and deploying AWS infrastructure components; use a broad set AWS services including EC2, EKS, S3, EFS, RDS, DynamoDB, ElastiCache, AppFlow, Glue, Athena, Redshift, API Gateway, Lambdas, WAF, CloudFormation and Control Tower; experience with corresponding services from other cloud providers is highly desirable Experience More ❯

FOR PEOPLE WITH Hands-on experience working with AWS in multi-account organisations. Expertise in configuring and deploying AWS infrastructure components; use a broad set AWS services including EC2, EKS, S3, EFS, RDS, DynamoDB, ElastiCache, AppFlow, Glue, Athena, Redshift, API Gateway, Lambdas, WAF, CloudFormation and Control Tower; experience with corresponding services from other cloud providers is highly desirable Experience More ❯

pipelines integrating PHP, and C applications using .NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to … engineer for: End-to-end data migration architecture ( on-premise to cloud or cloud-to-cloud). Designing scalable and secure systems using AWS services like S3, Lambda, and EKS, EC2, VPC, RDS. Interfacing with both legacy PHP/C# systems and modern .NET cloud-native services. We're also looking for someone with some experience in AI to More ❯

Data Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large 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 … impact in building, scaling, and securing ML/AI infrastructure in cloud- 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 ❯

as our platform grows. Drive improvements to platform performance, reliability, and cost-efficiency by evolving our cloud architecture and operations. Manage and enhance our container orchestration stack using Kubernetes (EKS) and Docker. Develop and maintain robust, scalable CI/CD pipelines with Jenkins, GitHub Actions, and ArgoCD. Strengthen observability across the platform through effective monitoring, logging, and alerting (AWS … continuous improvement. WHAT YOU BRING Proven experience in a platform, DevOps, or cloud engineering role, supporting production systems at scale. Deep knowledge of AWS core services (e.g. EC2, RDS, EKS, Lambda, CloudWatch, SecretsManager, ElastiCache, DocumentDB), with experience designing secure and reliable cloud architectures. Strong understanding of containerisation and orchestration using Docker and Kubernetes (EKS preferred). Hands-on … OUR TECH STACK Frontend: TypeScript, Angular 19. Mobile: Android (Kotlin), iOS (Swift). Desktop: Cross platform desktop app built with Electron (TypeScript). Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor More ❯

exposure to trading or similar themes is desirable but not essential. Competencies and Personality Strong expertise in AWS (EC2, S3, Lambda, RDS, VPC, IAM). Hands-on Kubernetes experience (EKS, K3s, or self-managed). Proficiency in scripting with Python, Bash, or Go. Experience with Infrastructure as Code (Terraform, CloudFormation, Ansible). Familiarity with observability tools (Prometheus, Grafana, Datadog More ❯

concise, focused insights and alerts for distributed systems Strong experience with Python and/or GoLang Java (SpringBoot and Micrometer) useful Demonstrable experience working with AWS services like SQS, EKS, RDS, VPC, EC2, Cloudwatch (X-Ray, Metrics and Logs), Lambda Solid knowledge of Linux systems and bash scripting Strong knowledge of networking and common protocols (TCP, DNS, TLS, HTTP More ❯

version Deep knowledge of core AWS services such as Lambda, EC2, S3, RDS, CloudFormation, API Gateway, and IAM Strong grasp of system integration, microservices, containerisation (Docker, ECS/EKS), and event-driven architecture Experience with infrastructure-as-code tools (Terraform, CloudFormation) and DevOps practices Understanding of warehouse operational workflows and WMS data models Excellent communication and stakeholder engagement skills More ❯

version Deep knowledge of core AWS services such as Lambda, EC2, S3, RDS, CloudFormation, API Gateway, and IAM Strong grasp of system integration, microservices, containerisation (Docker, ECS/EKS), and event-driven architecture Experience with infrastructure-as-code tools (Terraform, CloudFormation) and DevOps practices Understanding of warehouse operational workflows and WMS data models Excellent communication and stakeholder engagement skills More ❯

using tools such as GitLab, Jenkins. Automate infrastructure provisioning and configuration management with Ansible and Terraform . Develop and maintain containerized applications using Docker, Kubernetes, and orchestration platforms like EKS and AKS. Monitor and optimize system performance, reliability, and scalability through tools like DataDog. Collaborate with development teams to ensure seamless integration and deployment of applications. Implement and handle … of concept (POC) and onboarding activities for new tools and technologies. Key Tools and Technologies DevOps Tools: GitLab, Jenkins, Ansible, Terraform, Cloud Technologies: AWS Containerization and Orchestration: Docker, Kubernetes, EKS, AKS Monitoring and Logging: DataDog Scripting Languages: Python, Bash, Shell Personal Attributes Proactive and dedicated with a passion for continuous improvement. Diligent with a focus on delivering high-quality More ❯

IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In-depth knowledge and hands-on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In-depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and More ❯

pipelines integrating PHP, and C applications using .NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to … engineer for: End-to-end data migration architecture ( on-premise to cloud or cloud-to-cloud). Designing scalable and secure systems using AWS services like S3, Lambda, and EKS, EC2, VPC, RDS. Interfacing with both legacy PHP/C# systems and modern .NET cloud-native services. We're also looking for someone with some experience in AI to More ❯