AWS Technical Lead

6 days ago

Bengaluru, Karnataka, India Career Foresight HR Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are seeking an experienced AWS Technical Lead to spearhead the design,implementation, and modernization of cloud-native and hybrid solutions as part of astrategic Cloud Transformation Program. The ideal candidate will possess deep expertise in Amazon Web Services, cloud architecture, automation, and DevOps practices.

Required Skills & Qualifications :

- 6 years of overall IT experience, with at least 35 years in AWS cloud platform leadership roles.

- Proven experience in leading cloud transformation or migration programs on AWS.

- Strong expertise in :

1. AWS Compute (EC2, Lambda, ECS, EKS)

2. AWS Storage (S3, EBS, EFS, Glacier)

3. AWS Networking (VPC, Transit Gateway, Route 53, Load Balancers, VPN,WAF, Firewall)

4. AWS Identity and Access Management (IAM), Secrets Manager, AWSOrganizations

5. AWS CloudWatch, CloudTrail, AWS Config, and AWS Backup

- Experience with Infrastructure as Code tools such as Terraform, AWSCloudFormation, or CDK

- CI/CD pipeline experience with AWS CodePipeline, CodeBuild, GitHubActions, or Jenkins

- Lift and shift Migration Tool experience on AWS Application Discovery Service(ADS), AWS MGN (Application Migration Service), and AWS DMS (DatabaseMigration Service)

- Integrate security controls such as SAST/DAST tools, dependency scanning,and secrets detection into the CI/CD lifecycle.

- Scripting knowledge in Python, Bash, or PowerShell

- Familiarity with modern application architectures (microservices, containers,serverless)

- Understanding of ITIL processes and Agile/Scrum methodologies

- Lead the technical design and architecture of cloud-native and hybrid solutionson AWS.

- Drive end-to-end cloud migration or modernization of applications and servicesfrom on-prem or other cloud platforms to AWS.

- Collaborate with cloud architects, developers, infrastructure teams, andbusiness stakeholders to define AWS adoption and transformation strategies.

- Provide hands-on leadership in provisioning AWS infrastructure services,including compute, networking, storage, security, and identity.

- Define and implement best practices for scalability, resiliency, performancetuning, security hardening, and cost optimization on AWS.

- Design and implement AI/ML-driven applications using AWS AI/ML services,including Amazon SageMaker (ML model development and deployment),Amazon Rekognition, Polly, Lex, Comprehend (for vision, speech, and NLPworkloads), Amazon Textract (document text extraction), Bedrock and Titan (forgenerative AI and foundation models)

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