Job Description
This remote role requires a highly skilled Cloud Engineer with 5+ years of AWS experience, specializing in migration and Snowflake integration. Responsibilities include designing, implementing, and optimizing cloud-based data solutions using AWS services. The engineer will build and maintain scalable, secure infrastructure using IaC (CloudFormation/Terraform), automate deployments, and monitor system performance using AWS-native and third-party tools. Experience with data ingestion pipelines, data architecture, containerization (Docker, ECS, EKS), and strong Python skills are essential. The role involves collaboration with product teams, mentoring junior engineers, troubleshooting production issues, and staying current with AWS advancements.
Good To Have:
- AWS Certifications
- Data Modeling & Warehousing
- ETL Tools Experience
Must Have:
- 5+ years AWS experience
- AWS Migration & Snowflake Integration
- IaC (CloudFormation/Terraform)
- Data Pipeline Development
- Strong Python skills
- AWS Networking & Security Expertise
- Containerization (Docker, ECS, EKS)
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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