Cloud Platform Engineer

Optomi; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Optomi, in partnership with a leading organization, is seeking a Cloud Platform Engineer to support application teams by automating infrastructure provisioning, guiding cloud adoption, and troubleshooting cloud environments. The role emphasizes hands-on AWS experience, IaC, and strong problem-solving skills.

You will design and maintain scalable AWS infrastructure, implement CI/CD with GitLab, and mentor junior teammates while ensuring reliability, security, and observability across cloud

Qualifications

• 4+ years of hands-on experience with AWS cloud services and infrastructure.
• Experience with infrastructure-as-code tools such as Terraform and/or CloudFormation.
• Experience with scripting, command-line tools, code repositories, and CI/CD pipelines.
• Hands-on experience with GitLab, including pipeline configuration and code promotion.
• Experience building and deploying containerized applications using Docker, Kubernetes, and Helm.
• Understanding of container image scalability, availability strategies, and command-line troubleshooting.
• Experience with observability and monitoring tools such as Splunk, Dynatrace, AWS CloudWatch, Prometheus, or Grafana.
• Strong analytical, troubleshooting, and independent problem-solving skills.
• Ability to communicate technical concepts and mentor junior resources.

Responsibilities

• Support application teams in their cloud adoption journey by providing technical guidance and infrastructure automation.
• Design, provision, configure, and troubleshoot AWS infrastructure and cloud services.
• Automate infrastructure provisioning using Terraform and/or CloudFormation.
• Support AWS services including EKS, Lambda, VPC, Security Groups, EC2, DynamoDB, RDS, IAM, KMS, Route 53, MSK, S3, and Glue.
• Configure and maintain CI/CD pipelines using GitLab, supporting code repository management and code promotion.
• Build, deploy, and troubleshoot containerized applications using Docker, Kubernetes, and Helm.
• Support application scalability, availability, and deployment strategies.
• Use monitoring and observability tools to identify, investigate, and resolve infrastructure and application issues.
• Provide hands-on troubleshooting and technical support across AWS environments.
• Participate in on-call support as needed, responding to and resolving technical issues.
• Identify problems and procedural irregularities, gather information, analyze findings, and recommend solutions.
• Work independently while collaborating with application teams and other technical resources.
• Train and mentor junior team members and contribute to technical knowledge sharing.

Skills

AWS expertise

IaC understanding

Scripting

CI/CD

Problem-solving

Mentoring

Communication

Tools

Terraform

CloudFormation

GitLab

Docker

Kubernetes

Helm

Splunk

Dynatrace

AWS CloudWatch

Prometheus

Grafana

Job description

Optomi, in partnership with a leading organization, is seeking a Cloud Platform Engineer to support application teams throughout their cloud journey by automating infrastructure provisioning, providing technical guidance, and troubleshooting cloud environments. The ideal candidate has strong hands-on AWS experience, infrastructure-as-code expertise, and a solid understanding of containerization, CI/CD pipelines, and observability tools. This individual will work independently, support application teams, and help ensure scalable, reliable, and secure cloud infrastructure.

What the Right Candidate Will Enjoy:

• Helping application teams adopt and optimize cloud technologies!
• Automating infrastructure provisioning and deployment processes!
• Troubleshooting complex cloud and application infrastructure issues!
• Working with modern AWS, Kubernetes, and containerization technologies!
• Sharing technical knowledge and mentoring junior team members!

Experience of the Right Candidate:

• 4+ years of hands-on experience with AWS cloud services and infrastructure.
• Experience with infrastructure-as-code tools such as Terraform and/or CloudFormation.
• Experience with scripting, command-line tools, code repositories, and CI/CD pipelines.
• Hands-on experience with GitLab, including pipeline configuration and code promotion.
• Experience building and deploying containerized applications using Docker, Kubernetes, and Helm.
• Understanding of container image scalability, availability strategies, and command-line troubleshooting.
• Experience with observability and monitoring tools such as Splunk, Dynatrace, AWS CloudWatch, Prometheus, or Grafana.
• Strong analytical, troubleshooting, and independent problem-solving skills.
• Ability to communicate technical concepts and mentor junior resources.

Responsibilities:

• Support application teams in their cloud adoption journey by providing technical guidance and infrastructure automation.
• Design, provision, configure, and troubleshoot AWS infrastructure and cloud services.
• Automate infrastructure provisioning using Terraform and/or CloudFormation.
• Support AWS services including EKS, Lambda, VPC, Security Groups, EC2, DynamoDB, RDS, IAM, KMS, Route 53, MSK, S3, and Glue.
• Configure and maintain CI/CD pipelines using GitLab, supporting code repository management and code promotion.
• Build, deploy, and troubleshoot containerized applications using Docker, Kubernetes, and Helm.
• Support application scalability, availability, and deployment strategies.
• Use monitoring and observability tools to identify, investigate, and resolve infrastructure and application issues.
• Provide hands-on troubleshooting and technical support across AWS environments.
• Participate in on-call support as needed, responding to and resolving technical issues.
• Identify problems and procedural irregularities, gather information, analyze findings, and recommend solutions.
• Work independently while collaborating with application teams and other technical resources.
• Train and mentor junior team members and contribute to technical knowledge sharing.

Preferred Qualifications:

• Hands-on experience with Microsoft Azure services and tools, including platform support and troubleshooting.
• Experience delivering technical demonstrations or training sessions.
• Experience supporting cloud-native application architectures and enterprise cloud environments.