AWS Cloud Architect (Terraform ,ECS, EKS,Terraform and S3)
Plano, TX, United States
Arthur Grand Technologies Inc
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Arthur Grand Technologies (www.arthurgrand.com) is in the business of providing staffing and technology consulting services. We have doubled our revenue year over year for the past 5 years. This speaks to the long-lasting relationship and customer satisfaction that we have built in this short span of time. Our company is managed by a team of professionals who worked for big 5 consulting firms for 20+ years.
We are a minority owned staff augmentation and technology consulting company
To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits and provide continued opportunities for professional growth.
Job Description
Arthur Grand Technologies is currently seeking a highly motivated and skilled AWS Cloud Architect one of our clients
Position: AWS Cloud Architect
Location: Plano, TX (Onsite)
Duration:Long Term Contract
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 cloud-based 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 high-performance, 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 real-time data streaming and event-driven architecture.
- Design and manage reliable data pipelines for integration with various applications and services.
- Monitoring and Optimization:
- Utilize AWS CloudWatch, X-Ray, 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 up-to-date documentation on cloud architectures, configurations, and processes.
Qualifications:
Technical Skills:
- AWS Services: In-depth knowledge and hands-on 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 (self-managed or as a service) and DynamoDB for high-volume, low-latency applications.
- Kafka: Knowledge and hands-on experience with Kafka for building scalable, real-time 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 hands-on experience in cloud infrastructure engineering, with a focus on AWS.
- Proven track record of designing and managing scalable, high-performance cloud environments using AWS services.
- Experience with containerized applications, microservices, and cloud-native 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 problem-solving skills and the ability to think critically under pressure.
- Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.
- Ability to collaborate effectively with cross-functional teams.
- Strong attention to detail and a commitment to maintaining high standards
Thanks,
Afrah Faiza
Arthur Grand Technologies Inc
Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets)
Additional Information
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS CI/CD CloudFormation Consulting Data pipelines DevOps DynamoDB ECS Engineering Grafana Java Kafka Kubernetes Lambda Machine Learning Microservices MongoDB Pipelines Python SageMaker Security Step Functions Streaming Terraform
Perks/benefits: Career development Health care Startup environment
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