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.
Good To Have:
- AWS Certifications
- Experience with specific monitoring tools (CloudWatch, Grafana, etc.)
- ETL tool experience
Must Have:
- 5+ years AWS experience
- IaC (CloudFormation/Terraform)
- AWS networking & security expertise
- Python scripting skills
- Containerization experience
- Data pipeline construction
- Data modeling & warehousing
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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