Dimension Data

1 week ago

AWS Data & AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Build and operate secure, scalable AI platforms on AWS for regulated financial services. You’ll design generative AI and advanced analytics capabilities using Amazon Bedrock, containerized services on Amazon EKS with Python workloads, and serverless workflows with Lambda and API Gateway. Own cloud networking, access controls, data integrations for AI pipelines and RAG architectures, and establish CI/CD, monitoring, and operational controls aligned to enterprise and regulatory standards.

Location: Bengaluru, Hyderabad, Chennai, Karnataka

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and support AI platforms on AWS using Amazon Bedrock for generative AI and model integration.
•Develop and operate containerized AI services on Amazon EKS, supporting Python-based inference and orchestration workloads.
•Build serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures.
•Implement secure cloud networking and access controls using VPC, IAM, private endpoints, and service networking.
•Set up CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards, in partnership with security, architecture, and risk teams.

Key Requirements

•5+ years building cloud platforms on AWS.
•Hands-on experience with Amazon Bedrock and AWS services including EKS/Kubernetes and AWS Lambda.
•Strong Python development experience for APIs, AI services, or automation workloads.
•Experience designing secure, highly available, and scalable systems.
•Familiarity with regulated environments such as financial services, banking, or insurance.

Experience:5+ yearsFinancial servicesBankingInsuranceRegulated environments

Skills:Secure system designReliabilityOperational excellenceCollaborationCompliance-mindedness

Tech Stack:AWSAmazon BedrockAmazon EKSKubernetesAWS LambdaAPI GatewayVPCIAMPrivate endpointsService networkingS3DynamoDBPythonCI/CDTerraformCloudFormationCDKEKSServerlessContainerized services

Company Brief

Dimension Data

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Dimension Data

1 week ago

AWS Data & AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Bengaluru, Hyderabad, Chennai, Karnataka

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and support AI platforms on AWS using Amazon Bedrock for generative AI and model integration.
•Develop and operate containerized AI services on Amazon EKS, supporting Python-based inference and orchestration workloads.
•Build serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures.
•Implement secure cloud networking and access controls using VPC, IAM, private endpoints, and service networking.
•Set up CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards, in partnership with security, architecture, and risk teams.

Key Requirements

•5+ years building cloud platforms on AWS.
•Hands-on experience with Amazon Bedrock and AWS services including EKS/Kubernetes and AWS Lambda.
•Strong Python development experience for APIs, AI services, or automation workloads.
•Experience designing secure, highly available, and scalable systems.
•Familiarity with regulated environments such as financial services, banking, or insurance.

Experience:5+ yearsFinancial servicesBankingInsuranceRegulated environments

Skills:Secure system designReliabilityOperational excellenceCollaborationCompliance-mindedness

Tech Stack:AWSAmazon BedrockAmazon EKSKubernetesAWS LambdaAPI GatewayVPCIAMPrivate endpointsService networkingS3DynamoDBPythonCI/CDTerraformCloudFormationCDKEKSServerlessContainerized services

Company Brief

Dimension Data

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn