Position: AWS Cloud Architect (Need minimum of 13 Years of exp)
Location: Plano TX (Onsite)
Note: Candidate need to come Face to Face interview for client round of the mentioned JPMC Location (Plano TX/Houston TX/Wilmington DE/Columbus OH/NYC NY/Jersey City NJ)
Seeking a Senior AWS Engineer to support the development deployment and maintenance of cloud infrastructure. The ideal candidate will have a deep understanding of AWS services with expertise in ECS EKS MongoDB DynamoDB Kafka Terraform S3 and Route 53. This role requires strong proficiency in Python and Java along with a solid understanding of cloud architecture and best practices. You will be responsible for managing cloud environments automating processes and ensuring the reliability and scalability of our systems.
Key Responsibilities:
- Cloud Infrastructure Management:
- Design deploy and manage highly available scalable and secure cloud environments using AWS ECS EKS S3 Route 53 DynamoDB and related AWS services.
- Architect and maintain cloudbased applications with a focus on containerized solutions using ECS and EKS.
- Optimize infrastructure and applications for performance cost efficiency and scalability.
- Automation and Infrastructure as Code (IaC):
- Use Terraform to automate infrastructure provisioning configuration and management across AWS services.
- Implement CI/CD pipelines to streamline deployment processes.
- Develop and maintain scripts and tools for automated monitoring management and reporting.
- Database Management:
- Design and optimize highperformance scalable databases using MongoDB and DynamoDB.
- Implement backup and disaster recovery solutions for databases in cloud environments.
- Troubleshoot tune and ensure the availability of databases for production applications.
- Messaging and Streaming Services:
- Implement Kafka solutions for realtime data streaming and eventdriven architecture.
- Design and manage reliable data pipelines for integration with various applications and services.
- Monitoring and Optimization:
- Utilize AWS CloudWatch XRay and other monitoring tools to track infrastructure and application performance.
- Implement logging alerting and monitoring best practices to ensure system health and reduce downtime.
- Proactively monitor cloud infrastructure for cost optimization and performance improvements.
- Collaboration and Documentation:
- Collaborate with development DevOps and security teams to ensure best practices in cloud architecture and development.
- Provide mentorship to junior engineers and share knowledge about AWS services and cloud solutions.
- Maintain uptodate documentation on cloud architectures configurations and processes.
Qualifications:
Technical Skills:
- AWS Services: Indepth knowledge and handson experience with AWS ECS EKS S3 Route 53 DynamoDB Lambda CloudWatch IAM VPC API Gateway and other AWS services.
- Containerization & Orchestration: Strong experience with ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service) including creating deploying and managing containerized applications.
- Databases: Extensive experience with MongoDB (selfmanaged or as a service) and DynamoDB for highvolume lowlatency applications.
- Kafka: Knowledge and handson experience with Kafka for building scalable realtime data streaming applications.
- Infrastructure as Code (IaC): Proficiency in Terraform to automate AWS infrastructure provisioning.
- Programming Languages: Strong experience in Python and Java for developing and automating cloud solutions.
- Networking: Understanding of cloud networking concepts including VPC subnets route tables security groups and IAM policies.
- Security: Implement best practices for securing cloud infrastructure databases and applications including encryption and access controls.
Experience:
- 5 years of handson experience in cloud infrastructure engineering with a focus on AWS.
- Proven track record of designing and managing scalable highperformance cloud environments using AWS services.
- Experience with containerized applications microservices and cloudnative architectures.
- Strong experience in using Terraform for infrastructure automation and CI/CD pipelines.
Preferred Qualifications:
- AWS certifications such as AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional.
- Experience working in an agile development environment.
- Familiarity with AWS Lambda Step Functions and serverless architectures.
- Exposure to Serverless frameworks and AWS SageMaker for ML workloads.
- Knowledge of monitoring and observability tools such as Prometheus Grafana or Datadog.
- Familiarity with CloudFormation for managing AWS resources.
Soft Skills:
- Strong problemsolving skills and the ability to think critically under pressure.
- Excellent communication skills with the ability to present complex technical concepts to nontechnical stakeholders.
- Ability to collaborate effectively with crossfunctional teams.
- Strong attention to detail and a commitment to maintaining high standards