focus on developing and deploying AI solutions
Job Function (day-to-day responsibilities):
- Design, implement, and deploy applications on AWS cloud infrastructure for scalability, high-availability and resilient applications
- Build and deploy AI systems, define use cases, develop solutions using AWS native AI services, hosting, configuring, securing the data and access
- Managing the security of the Cloud Infrastructure, implementing best practices, setting up governance and guardrails across AWS organization and accounts
- Manage user access to the Cloud environment for all the accounts across all geographies, regular auditing and reviewing best practices
- Develop Backup and Disaster Recovery (DR) strategy for Infrastructure and Applications
- Work closely with the applications development team and advocate the use of cloud native services for secure, scalable, and robust application development
- Understand the user and application needs and provision the right-size/type infrastructure
- Implement Security best practices, develop solutions to protect infrastructure and data, define and implement security policies/measures for various use cases/business needs, regularly access risks and develop and review guardrails
- Administration and maintenance of the HPC cluster/simulation environment, create budgets and regularly report the usage to the department heads and senior management
- Regularly and promptly reporting issues and cloud infrastructure health to management
- Patching and upgrading the workload (Linux and Windows servers) as per the policy and best practices
- Plan and execute on-premises to cloud migration projects, work closely with the development team and business users for workload migrations, testing, troubleshooting and migration cutovers
- Day to day administration and monitoring of the Cloud infrastructure, Linux and Windows workload, Database, storage etc.
- Collaborate with network team to design Global multi-account VPC architectures and troubleshoot any network issues
- Ensure data backups (snapshots, AMIs, database, file systems) are regularly taking place
- On-the-job training includes the organization technologies and tools overview and software development processes.
The duties, responsibilities and expectations described above are not a comprehensive list and additional tasks may be assigned to the member, within the scope of the position.
Qualifications (will include the education, knowledge, skills and competencies):
Education:
- B.S. in Computer Science or related field with 5+ years experience; or M.S. in Computer Science or related field with 4+ years experience
- Strongly Preferred Minimum one certification: AWS Certified Solutions Architect (Associate, Professional preferred), AWS Certified Security Specialist. AWS Certified DevOps Engineer.
Knowledge, Skills and Competencies:
- 5 years required (7+ years preferred) Overall 5+ years of hands-on experience in IT industry designing, developing, testing and managing software applications and cloud infrastructure
1-2 years required experience in (Mandatory requirement)
- Design, develop and maintain cloud hosted AI solutions, experience in developing AI agents, prompts and knowledge bases. Experience in working closely with end-users, product managers understanding their problems and needs and delivering secure AI powered solutions (using Amazon Bedrock or similar tools from other vendors)
- 3 years required experience in
- Designing and implementing Public/Hybrid cloud infrastructure solutions that are highly available, scalable, and resilient. Good understanding for AWS best practices and well architected framework
- Designing and deploying solutions: web applications, applications developed using AWS native services Cognito, Secrets Manager, DynamoDB, S3, RDS, IAM Identity Center, etc.
- 2 years required experience in
- Managing the Global AWS network environment: VPC, subnets, transit gateways, Site to site VPN connections, multi-account/vpc peering, hybrid cloud connectivity and network security
- Linux (Amazon) administration: Provisioning, configuring, patching and deploying applications and middleware
- Industry-standard tools/Cloud native tools for infrastructure monitoring, application performance monitoring, visualization, and alerting
- Best practices for optimizing IT infrastructure, providing policies, standards and guidelines
- 1-2 years experience (preferred) in
- Administration of Amazon RDS: provisioning, configuring, backup & restore and access management
- Administration of HPC environment: Provisioning of HPC clusters, maintenance and cost optimization, good understanding of the various server types, experience using AWS native tools like Parallel cluster, Research and Engineering Studio (RES)
Experience in building automation/scripting using (PowerShell, Python etc.) and Infrastructure as Code (IaC) tools like CloudFormation, Terraform
Preferred candidate profile
