Requirements 5+ years of experience managing high-traffic applications and complex cloud infrastructure. Strong hands-on expertise with AWS services (ECS, EKS, EC2, ALB, S3, RDS, Route53, etc.). Proven experience with Kubernetes and managing containerized environments. Skilled in Infrastructure-as-Code using Terraform, Pulumi, or CloudFormation. Proficient with More ❯
scalable queries and operations Experience with TypeScript and modern development tools and practices. Knowledge of Cloud-Native development on the AWS Platform (IAM, SQS, S3, Secrets Management, KMS). Familiarity with CI/CD pipelines and DevOps practices. Experience with version control systems (Git). Understanding of web standards More ❯
Troubleshooting and resolving cloud-related and software issues. Develop, implement, and maintain configuration of underlying cloud services, including but not limited to AWS, CloudFront, S3, SNS, and SQS. Administer existing and deploy new GKE services. Developing scripts for deployment, monitoring, reporting, and alerts, ensuring a robust, redundant, scalable More ❯
Troubleshooting and resolving cloud-related and software issues. Develop, implement, and maintain configuration of underlying cloud services, including but not limited to AWS, CloudFront, S3, SNS, and SQS. Administer existing and deploy new GKE services. Developing scripts for deployment, monitoring, reporting, and alerts, ensuring a robust, redundant, scalable More ❯
Troubleshooting and resolving cloud-related and software issues. Develop, implement, and maintain configuration of underlying cloud services, including but not limited to AWS, CloudFront, S3, SNS, and SQS. Administer existing and deploy new GKE services. Developing scripts for deployment, monitoring, reporting, and alerts, ensuring a robust, redundant, scalable More ❯
Troubleshooting and resolving cloud-related and software issues. Develop, implement, and maintain configuration of underlying cloud services, including but not limited to AWS, CloudFront, S3, SNS, and SQS. Administer existing and deploy new GKE services. Developing scripts for deployment, monitoring, reporting, and alerts, ensuring a robust, redundant, scalable More ❯
organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory More ❯
organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory More ❯
organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory More ❯
watford, hertfordshire, east anglia, united kingdom
Akkodis
organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory More ❯
Development Center (Tel Aviv) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's SimpleStorageService (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart … for their cloud services. Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon's AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models. As part … science team, you'll lead innovative research projects, develop state-of-the-art algorithms, and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of top-tier scientists and engineers More ❯
Experience (Essential) A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway More ❯
Experience (Essential) A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway More ❯
balancing performance, cost, and scalability 💡 What You Bring Strong experience building SaaS systems using OpenSearch or Elasticsearch Deep knowledge of cloud infrastructure — especially AWS (S3, Aurora, RDS, DynamoDB, etc.) Solid understanding of Docker, Kubernetes, and service orchestration at scale Focused on automation, reliability, and reducing manual ops Confident troubleshooting More ❯
balancing performance, cost, and scalability What You Bring Strong experience building SaaS systems using OpenSearch or Elasticsearch Deep knowledge of cloud infrastructure — especially AWS (S3, Aurora, RDS, DynamoDB, etc.) Solid understanding of Docker, Kubernetes, and service orchestration at scale Focused on automation, reliability, and reducing manual ops Confident troubleshooting More ❯
San Antonio, Texas, United States Hybrid / WFH Options
Syndicus NACON
Strong knowledge of Linux, including system administration and troubleshooting Proficient in configuration management tools such as Ansible or Puppet Knowledge of AWS services (EC2, S3, Lambda) and their application to deployment and management of infrastructure Experience with application and OS deployment, scaling, and management Ability to develop in multiple More ❯
years' experience with Microsoft Azure services including PaaS (Azure App Services) and Azure DevOps 1-2 years' experience with AWS services such as EC2, S3, Lambda, RDS, IAM, and CloudWatch Experience with monitoring tools such as CloudWatch, App Insights, Grafana, and Kibana Experience with ITSM/customer ticketing systems More ❯
datasets and a solid understanding of data lake architecture and data warehousing Preferred qualifications, capabilities, and skills Experience with AWS cloud services (e.g. EC2, S3, IAM, Cloudwatch) Experience with Infrastructure as code (e.g. Terraform) Experience working in Agile/Scrum teams More ❯
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
