Cloud DevOps Engineer

Peraton

16h

About The Position

The Department of Interior (DOI) CHS III program is focused on Cloud Hosting and Applications Modernization across DOI and its subordinate bureaus. This program will facilitate the migration of legacy on-premises applications to a modern, secure, and scalable multi-cloud platform, serving as DOI's central cloud processing and data solution for various data, including from volcanic regions and earthquake detection. The Cloud DevOps Engineer will join a dynamic team, collaborating with individual science labs and cross-functional teams to assess requirements, feasibility, and implementation of new workloads on AWS. Key responsibilities include planning and executing migrations from on-premises environments to AWS, designing scalable infrastructure, and automating deployment processes using advanced AWS DevOps tools. This role offers the opportunity to work on innovative projects, leveraging AWS cloud technologies to enhance operational efficiency and build resilient, secure cloud environments.

Requirements

Candidate must be a US Citizen
Candidate must have an Active Public Trust or the Ability to Obtain one is required
5 years of experience with a BS/BA degree; 3 years with an MS/MA degree; or 0 years with a PhD
3 or more years professional job experience designing, deploying, and managing cloud-based solutions using core AWS services such as EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM for secure and scalable infrastructure.
Experience with continuous integration and continuous delivery CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, GitLab, GitLab Runners, or other third-party tools to automate application deployments.
Experience with Infrastructure as Code tools such as AWS CloudFormation, Terraform, Ansible, or AWS CDK to automate cloud resource provisioning and configuration management.
Experience with Python, Bash, AWS CLI, or other scripting languages to automate deployments, streamline workflows, troubleshoot issues, and resolve operational challenges within AWS environments.
Candidate must have at least one of the following certifications or be able to attain within 90 Days: AWS Certified CloudOps Engineer – Associate, AWS Certified DevOps Engineer - Professional, AWS Certified Developer – Associate or Professional, AWS Certified Solutions Architect – Associate or Professional

Nice To Haves

One or more AWS Speciality Certification(s) such as: AWS Certified Advanced Networking - Speciality, AWS Certified Security - Speciality, AWS AI Fundamentals
Experience with incident management, root cause analysis, and resolving high-priority incidents in large, multi-tenant environments using Jira, Confluence, etc.
Exemplary communication, analytical skills, and technical knowledge across the client environment.
Ability to produce concise and clear technical documentation.
Experience working in an Agile environment
Experience in leveraging AI tools to accelerate workflows and code generation, and for producing concise and clear technical AI-assisted documentation.
Experience with using or supporting applications such as Dremio, Tableau, Posit and/or Nebari

Responsibilities

Participate in root cause analysis of system incidents.
Respond to and resolve tickets in the operations support queue in a timely and efficient manner, ensuring issues are tracked, documented, and closed according to SLAs.
Use tools such as AWS CloudFormation, GitLab and GitLab Runners to respond to support requests to manage and maintain AWS infrastructure, including EC2, RDS, S3, ELB, VPC, IAM Roles and Policies, Security Groups and related services.
Automate routine operational tasks to improve system reliability, security monitoring and configuration management using AWS step functions, lambda functions, SSM documents, AWS EventBridge, SNS, SQS using scripting languages such as python, bash and powershell.
Implement configuration management solutions (e.g., Ansible, Chef, or AWS Systems Manager).
Set up and maintain observability tools (CloudWatch, Prometheus, Grafana, ELK stack, etc.) to monitor infrastructure and application performance.
Ensure security best practices (IAM policies, encryption, VPC design, secrets management) and compliance with organizational standards.
Analyze and optimize AWS cloud costs without compromising performance or scalability.
Work cross-functionally with customer DevOps engineers, attend weekly team meetings and report status on open tickets and DevOps assignments.