Cloud DevOps Engineer

Remote
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AI Summary

We are seeking a Cloud DevOps Engineer to build and maintain CI/CD pipelines, support cloud infrastructure, and improve operational efficiencies.

Key Highlights
Cloud infrastructure management
CI/CD pipeline development
DevOps practices
Key Responsibilities
Architect, build and provision cloud infrastructure
Build infrastructure using Infrastructure as Code principles
Design and maintain CI/CD pipelines for software applications
Manage containerized environments using Docker and introduce orchestration (e.g. Kubernetes)
Implement security into deployments by design including IAM, encryption, and network segmentation
Implement monitoring and observability to track system health, performance, and reliability
Support database operations including scaling, backups and recovery
Technical Skills Required
AWS Docker Kubernetes Bash Python Argo CD Jenkins GitLab Runner MS-SQL
Benefits & Perks
$115k-$120k/year
Fully remote position
Nice to Have
Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)
Monitoring and observability implementation (e.g., Prometheus, Grafana, CloudWatch)

Job Description


"WE DO WHAT WE SAY "

JTSi is a federal government consulting firm, providing technical services to the Federal Government, i.e., DoD, Client and various Civilian Agencies. We are proud to have earned the reputation of honesty, integrity and the ability to build long-term professional relationships with our employees and clients. Please visit our website at www.JTSUSA.com to learn more about who we are and what we do.

Company Name: - JTSi (Johnson Technology Systems, Inc.)

Title: DevOps Engineer T2

Location: Remote

Salary : $115k - $120k/ year on W2

Description Of Project And Tasks

*MUST be a US Citizen*

*Possible Convert to hire*

*Fully remote position*

Summary: The main responsibility of this role is to build/maintain as well as improve the CI/CD pipelines, supporting the cloud infrastructure and building automation around it. This role is also responsible for building reliability, scalability as well as observability around the deployed software applications This role is expected to improve operational efficiencies as well as implementation of security controls.

Job Responsibilities

  • Architect, build and provision cloud infrastructure
  • Build infrastructure using Infrastructure as Code principles
  • Design and maintain CI/CD pipelines for software applications
  • Manage containerized environments using Docker and introduce orchestration (eg Kubernetes) as scale requires
  • Implement security into deployments by design including IAM, encryption, and network segmentation
  • Implement monitoring and observability to track system health, performance, and reliability
  • Support database operations including scaling, backups and recovery

Qualifications

  • Bachelor's degree in technical field such as computer science, computer engineering or related field required
  • 3+ years of strong hands-on Cloud experience preferably AWS in production environments
  • In-depth understanding of docker and containerization workflows (Kubernetes).
  • Experience building CI/CD pipelines with tools like Argo CD, Jenkins, Gitlab runner
  • Solid scripting skills in Bash and/or Python
  • Experience supporting MS-SQL or similar databases
  • Strong understanding of security fundamentals and access management

Bachelor's degree in technical field such as computer science, computer engineering or related field required

Mandatory Skills

Hands-on cloud experience (preferably AWS in production)

CI/CD pipeline development (Argo CD, Jenkins, GitLab Runner, etc.)

Docker and container orchestration with Kubernetes

Scripting in Bash and/or Python

Strong security fundamentals including IAM, encryption, and access control

Preferred Skills

Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)

Monitoring and observability implementation (e.g., Prometheus, Grafana, CloudWatch)

Database operations support (MS-SQL, scaling, backup, recovery)

Bachelor's degree in Computer Science, Engineering, or related field

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