> Markdown version of [/jobs/ext/4623229-aws-cloud-engineer](https://www.wearedevelopers.com/jobs/ext/4623229-aws-cloud-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Cloud Engineer - **Company:** Robotics Technologies LLC - **Location:** Denver, CO, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Performance Management, Audit Trail, Backup Devices, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Linux, DevOps, Disaster Recovery, Distributed Systems, Amazon DynamoDB, Identity and Access Management, IP Routing, Subnetting, Python (Programming Language), Windows Servers, Reliability Engineering, Shell Script, S3 Bucket, Load Balancing, Cloud Platform System, Autoscaling, System Availability, Delivery Pipeline, AWS Lambda, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Route53, Cloud Migration, Opsworks, Functional Programming, Cloudwatch, Elastic Beanstalk, Terraform, Serverless Computing, Docker, Jenkins, Microservices - **Published:** November 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ae5fcc16bc293f3e ## About the Role * Bachelor's degree in Computer Science, Information Technology, or a related field. * 5+ years of experience in AWS cloud engineering and infrastructure management. * Hands-on experience building and maintaining production AWS environments. * Strong understanding of cloud networking, security, and distributed systems. * Experience with cloud migration and infrastructure modernization. * AWS certifications such as AWS Certified Solutions Architect or AWS Certified SysOps Administrator., * AWS Well-Architected Framework * Multi-Account AWS Architecture * Serverless Computing * Cloud Migration * Kubernetes Administration * Infrastructure Automation * Cost Optimization (FinOps) * High Availability and Disaster Recovery * Microservices Architecture * Site Reliability Engineering (SRE) ## Description We are looking for an experienced AWS Cloud Engineer to design, implement, manage, and optimize cloud infrastructure using Amazon Web Services (AWS). The ideal candidate should have strong experience in cloud architecture, infrastructure automation, networking, security, monitoring, and DevOps practices., * Design, deploy, and maintain scalable cloud infrastructure using AWS services. * Manage AWS EC2 instances, S3 buckets, EBS volumes, and EFS storage. * Configure and maintain AWS VPC, subnets, route tables, security groups, and network ACLs. * Implement cloud infrastructure automation using Terraform and AWS CloudFormation. * Manage AWS IAM roles, policies, permissions, and access controls. * Deploy and manage containerized applications using Docker and Amazon ECS/EKS. * Configure AWS Lambda functions and serverless application architectures. * Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy. * Monitor cloud infrastructure performance using Amazon CloudWatch and CloudTrail. * Configure load balancing, Auto Scaling, and high-availability architectures. * Implement backup, disaster recovery, and business continuity solutions. * Optimize AWS resource utilization and manage cloud infrastructure costs. * Implement cloud security best practices and compliance requirements. * Troubleshoot cloud infrastructure, connectivity, and application performance issues. * Collaborate with DevOps, development, and security teams to support cloud operations. Required Technical Skills * Cloud Platform: Amazon Web Services (AWS) * Compute Services: EC2, Lambda, Elastic Beanstalk * Storage Services: S3, EBS, EFS, Glacier * Networking: VPC, Route 53, ELB, ALB, NLB, Direct Connect * Database Services: RDS, DynamoDB, Aurora, Redshift * Security: IAM, KMS, Secrets Manager, Security Groups * Infrastructure as Code: Terraform, CloudFormation * Containers: Docker, Kubernetes, Amazon ECS, EKS * DevOps Tools: Jenkins, Git, AWS CodePipeline * Monitoring: CloudWatch, CloudTrail, AWS Config * Scripting: Python, Bash, Shell Scripting * Operating Systems: Linux, Windows Server