Cloud Engineer (AWS)

2 Months ago • 5-8 Years • DevOps

Job Summary

Job Description

This is a remote Cloud Engineer position focusing on AWS migration and Snowflake integrations. Responsibilities include designing, implementing, and optimizing cloud-based data solutions; building scalable, secure, and resilient AWS infrastructure using IaC (CloudFormation/Terraform); automating deployments, monitoring, and security; leading performance improvement initiatives; serving as an AWS expert; collaborating with product and development teams; leveraging AWS-native monitoring tools; mentoring junior engineers; troubleshooting and resolving production issues; and staying current with AWS services. The ideal candidate will have 5+ years of AWS experience, strong analytical and Python scripting skills, and expertise in AWS networking, security, and containerization technologies.
Must have:
  • 5+ years AWS experience
  • IaC (CloudFormation/Terraform)
  • AWS networking & security expertise
  • Python scripting skills
  • Containerization experience
  • Data pipeline construction
  • Data modeling & warehousing
Good to have:
  • AWS Certifications
  • Experience with specific monitoring tools (CloudWatch, Grafana, etc.)
  • ETL tool experience

Job Details

This is a remote position.

About the Role:

We are seeking a highly skilled Cloud Engineer with expertise in AWS migration and Snowflake integrations to join our dynamic team. The ideal candidate will play a crucial role in designing, implementing, and optimizing cloud-based data solutions, with a strong focus on AWS services and data platform integrations rather than core infrastructure management.

Role Description: 

We are looking for experienced AWS Engineers for  

  • Implement Data Ingestion and management pipelines for deploying AI models and data pipelines.  
  • Strong understanding of data architecture 
  • Design, build, and maintain scalable, secure, and resilient cloud-based infrastructure on AWS using Infrastructure as Code (IaC) tools such as CloudFormation and Terraform. 
  • Automate complex deployments, monitoring, and security tasks to ensure seamless operation of production systems. 
  • Lead initiatives to improve system performance, availability, scalability, and security across AWS services. 
  • Serve as the expert on AWS networking, security, and monitoring, implementing best practices for cloud governance, compliance, and security policies. 
  • Collaborate with product managers and development teams to ensure infrastructure aligns with the product vision and roadmaps. 
  • Leverage AWS-native and third-party observability tools to monitor system performance and ensure proper incident management and response. 
  • Act as a technical mentor for junior engineers, providing guidance on cloud infrastructure, Python scripting, automation strategies, and DevOps best practices. 
  • Troubleshoot and resolve complex production issues, performing root cause analysis and implementing long-term solutions. 
  • Stay up-to-date with the latest AWS services, features, and trends, continuously evolving the team’s cloud capabilities. 

 



Requirements

Required Skills & Qualifications:

  • 5+ years of experience working in cloud engineering, with a primary focus on AWS environments. 
  • Strong analytical skills to effectively analyze data requirements and troubleshoot data related issues. Good documentation and coaching practice. 
  • Deep understanding and hands-on experience with Infrastructure as Code (IaC) using CloudFormation / Terraform. 
  • Proven track record of automating complex cloud deployments and scaling services in production environments. 
  • Expertise in AWS networking (VPC, subnets, security groups, etc.), cloud security (IAM, encryption, security compliance), and cloud-native monitoring tools (CloudWatch, Grafana, Datadog, Prometheus, etc.). 
  • Strong Python programming skills for automation and infrastructure management. 
  • Experience with containerization technologies (e.g., Docker, ECS, EKS) and orchestration. 
  • A collaborative and mentoring mindset, with the ability to guide and support junior engineers. 
  • Excellent communication skills, with the ability to work cross-functionally and influence technical direction. 
  • AWS Certified Solutions Architect or similar certification is preferred.

  • Data modeling & warehousing

  • Scalable and robust data pipeline construction and ETL tools.

  • Strong understanding of data security, compliance and governance.



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