What are the responsibilities and job description for the Solutions Architect position at KPRMT Global solutions?
Essential Functions and Responsibilities:
Strategic Leadership
· Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals.
· Design and implementation of cloud-native solutions using AWS services, including serverless architectures.
· Drive architectural decisions for data-driven applications and AI/ML-enabled solutions.
· Implement AI/ML, GenAI, and cloud adoption across the enterprise.
AWS Solution Design
· Architect and deploy highly scalable, resilient, and secure solutions using AWS services:
o Compute: Lambda, EC2, ECS, EKS.
o Storage: S3, EBS, EFS, DynamoDB, RDS.
o Networking: VPC, API Gateway, CloudFront.
o Security: IAM, KMS, Cognito, WAF.
o DevOps: CloudFormation, Terraform, Code Pipeline, Code Deploy, Jenkins.
· Optimize cloud infrastructure for cost, performance, and reliability.
· Design the integration of on-premises systems with AWS cloud solutions.
· Implement serverless and microservices architectures leveraging AWS tools like AWS Lambda and API Gateway.
· Ensure compliance with cloud security best practices and AWS Well-Architected Framework principles.
GitHub Management and CI/CD Automation
- Oversee the organization of GitHub repositories, ensuring adherence to best practices for version control and collaboration.
- Design and implement CI/CD pipelines using GitHub Actions for automated testing, deployment, and monitoring.
- Establish branching strategies, enforce code quality standards through automated checks, and manage repository permissions to maintain security and integrity.
- Drive adoption of GitHub workflows for streamlined development and delivery processes.
Data Architecture
- Design and implement data pipelines, data lakes, and real-time data processing frameworks on AWS.
- Leverage AWS tools like Glue, Redshift, Kinesis, and Athena for data transformation and analytics.
- Establish data governance frameworks to ensure security and compliance.
- Collaborate with data scientists and engineers to operationalize AI/ML models.
AI/ML and Generative AI Integration
- Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services.
- Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision.
- Optimize AI/ML workflows for scalability, performance, and cost on AWS cloud platforms.
Solution Design and Automation
- Review the design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services.
- Develop comprehensive architectural blueprints, including detailed AWS solution diagrams.
Leadership and Mentorship
- Participate in Architectural Review Board (ARB) in collaboration with the Chief Architect, ensuring enterprise-wide architectural alignment and governance.
- Build and mentor a team of architects, engineers, and data scientists, fostering a culture of innovation and excellence.
- Provide technical leadership throughout the project lifecycle, from inception to delivery.
- Partner with stakeholders to ensure solutions meet technical and business requirements.
Continuous Improvement
- Assess and enhance existing architectures, identifying opportunities to leverage AWS, AI/ML, and data technologies for modernization.
- Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies.
- Conduct architectural reviews to ensure alignment with AWS best practices and enterprise standards.
Qualifications and Education:
Education and Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- 15 years of experience in technology architecture, with 7 years designing AWS-based solutions.
- Proven experience leading enterprise-scale cloud transformation projects.
Technical Skills
- AWS Expertise:
o Compute: Lambda, EC2, ECS, EKS.
o Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
o Security: IAM, KMS, Cognito.
o Networking: API Gateway, VPC, CloudFront.
o DevOps: CloudFormation, Terraform, CodePipeline, Jenkins.
- Strong proficiency in Java, Java EE, Spring, Angular, and related frameworks.
- Expertise in AI/ML tools: TensorFlow, PyTorch, SageMaker.
- Proficiency in data architecture design, including ETL pipelines and data lakes.
Certifications
- Preferred:
o AWS Certified Solutions Architect (Professional).
o AWS Certified Machine Learning Specialty. (Optional)
o AI/ML certifications. (Optional)
Domain Knowledge
- Industry experience in Property & Casualty Insurance or other data-intensive sectors preferred.
- Familiarity with policy, claims, and billing systems preferred.
Job Type: Contract
Pay: $65.10 - $70.00 per hour
Work Location: In person
Salary : $65 - $70