AWS Cloud Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AWS Cloud Engineer in the United States.

This role is a hands-on cloud engineering position focused on designing, building, and operating secure, scalable, and highly available AWS environments that support mission-critical applications. You will work across infrastructure, security, DevOps, and application teams to deliver resilient cloud-native platforms that meet enterprise-grade requirements. The position involves deep technical ownership of cloud architecture, automation, observability, and performance optimization across complex distributed systems. You will help define and implement best practices for infrastructure-as-code, CI/CD pipelines, and cloud governance. The environment is fast-paced and engineering-driven, with strong emphasis on reliability, scalability, and operational excellence. This is an opportunity to shape cloud infrastructure at scale while driving continuous improvement and modernization initiatives.

Accountabilities

You will design, implement, and operate enterprise-scale AWS cloud environments with a strong focus on automation, reliability, security, and performance.

• Architect and manage scalable AWS environments across core services such as compute, networking, storage, and identity management.
• Build and maintain infrastructure-as-code using tools such as Terraform, AWS CloudFormation, or AWS CDK with strong version control and automation practices.
• Design secure multi-account AWS architectures, including landing zones, centralized logging, and governance frameworks.
• Develop and operate containerized platforms using services such as Amazon EKS and Amazon ECS.
• Implement secure networking architectures including VPC design, routing, VPN, and hybrid connectivity solutions.
• Build and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, or AWS-native services.
• Design and implement observability solutions using monitoring, logging, and tracing tools to ensure system reliability and performance.
• Strengthen cloud security posture through IAM design, encryption strategies, and compliance enforcement.
• Drive disaster recovery planning, backup strategies, and cross-region resilience testing.
• Develop automation scripts in Python, Bash, or Go to improve operational efficiency and incident response.
• Partner with engineering and security teams to guide cloud-native architecture decisions and best practices.
• Contribute to cost optimization initiatives and FinOps-driven cloud efficiency improvements.
  
  

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Requirements

You bring strong AWS expertise, deep infrastructure engineering experience, and a strong focus on automation, security, and scalable system design.

• 5+ years of cloud engineering experience, with strong production experience in AWS environments.
• Hands-on expertise with core AWS services including EC2, VPC, IAM, S3, RDS, Lambda, and CloudFront.
• Strong experience with infrastructure-as-code tools such as AWS CloudFormation or Terraform.
• Proven experience designing and operating container platforms such as Amazon EKS or Amazon ECS.
• Strong understanding of cloud networking, security, identity management, and encryption best practices.
• Experience building and managing CI/CD pipelines across infrastructure and application deployments.
• Strong scripting skills in Python and Bash (Go or PowerShell is a plus).
• Experience implementing observability, monitoring, and alerting in distributed cloud environments.
• Strong troubleshooting, communication, and documentation skills in cross-functional teams.
• Ability to design systems with strong focus on scalability, reliability, and cost efficiency.
  
  

Benefits

• Competitive base salary aligned with experience

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• Full-time W2 employment with long-term stability
• 100% remote work across the United States
• Comprehensive medical, dental, and vision insurance
• Paid time off and holidays
• 401(k) retirement savings plan
• Opportunity to work on large-scale AWS cloud-native architectures
• Exposure to advanced DevOps, SRE, and platform engineering practices
• Strong focus on automation, security, and continuous improvement
• Collaborative engineering culture with mentorship and growth opportunities
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.