AWS Software Engineer (Cloud / DevOps) w/ CI Poly
Strategic Business Systems, Inc.
Fort Meade, MD, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Automation of Tests
Cloud Computing
Continuous Delivery
Continuous Integration
DevOps
Cloud Services
Ansible
Prometheus
Software Deployment
+9 more
Cloud Platform System
Cloudformation
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Functional Programming
Cloudwatch
Terraform
Docker
Job description
- Design, develop, and maintain scalable, high-performance AWS-based applications and infrastructure.
- Implement and manage CI/CD pipelines for automated testing and deployment.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure security best practices are followed in all cloud infrastructure and application deployments.
- Monitor and optimize cloud resources for cost-efficiency and performance.
- Troubleshoot and resolve complex technical issues.
Requirements
We are seeking a highly skilled and motivated AWS Software Engineer with expertise in Cloud/DevOps to join our team. The ideal candidate will have a strong background in AWS cloud services, DevOps practices, and CI/CD pipelines, and be able to work collaboratively in a fast-paced, security-focused environment., * Bachelorβs degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience with AWS cloud services and DevOps tools (e.g., EC2, S3, Lambda, CloudFormation, Docker, Kubernetes).
- Proven experience implementing CI/CD pipelines and infrastructure as code.
- Strong understanding of security best practices in cloud environments.
- Excellent problem-solving skills and ability to work in a team-oriented environment.
- Active CI Polygraph clearance required., * Experience with infrastructure monitoring tools (e.g., CloudWatch, Prometheus).
- Knowledge of container orchestration platforms (e.g., ECS, EKS).
- Familiarity with infrastructure automation tools (e.g., Terraform, Ansible).
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