Engineering Manager

We are looking for a highly skilled Cloud Solutions Architect with strong expertise in AWS Cloud modern data platforms , and AI / ML-driven transformation

This role combines presales solutioning and delivery execution , working with global enterprise clients to design and deliver large-scale cloud, data, and AI modernization programs.

The ideal candidate will be proficient in AWS services , have working knowledge of Azure and GCP , and be capable of bridging business discussions with technical execution

Key Responsibilities

Partner with global enterprise customers (especially ANZ region) to identify modernization opportunities in cloud data , and AI platforms.

Architect cloud-native, data-driven solutions on AWS with focus on scalability, security, and cost optimization.

Create reference architectures modernization roadmaps , and technical proposals aligned with customer business goals.

Lead RFP / RFI responses , client workshops, and technical deep dives for cloud / data / AI transformation initiatives.

Build customer confidence through Proof of Concepts (PoCs) for data modernization and AI / ML workloads

Delivery & Execution

Transition presales solutions into successful delivery and execution.

Provide end-to-end technical leadership across architecture design, implementation, data migration, and AI / ML pipeline setup.

Drive best practices in cloud adoption, data engineering, cost governance, and operational excellence.

Collaborate with delivery teams to ensure project success and client satisfaction

Technical Expertise

Infrastructure : EC2, VPC, S3, EBS, ELB, Auto Scaling

PaaS : RDS, DynamoDB, Aurora, Lambda, API Gateway, Fargate, Step Functions

Security & Compliance : IAM, AWS Organizations, WAF, GuardDuty, CloudTrail

Data & AI / ML (Modernization Focus) :

AI / ML Services : SageMaker, Comprehend, Rekognition; integration with TensorFlow or PyTorch

MLOps & Orchestration : MLflow, Airflow, Kubeflow (preferred)

Data Governance : Designing data lakes / lakehouses and defining modernization strategies

Understanding of hybrid and multi-cloud architectures

DevOps & Automation :

Proficiency in CI / CD GitOps , and Infrastructure as Code (Terraform, CloudFormation)

Required Skills & Qualifications

Bachelor's or master's degree in computer science, Information Technology , or related discipline.

10+ years of IT experience, with 5+ years in cloud / data / AI modernization roles.

AWS Certified Solutions Architect – Professional (preferred).

Strong ability to bridge presales solutioning with delivery execution

Excellent client-facing and communication skills , with ability to present to CXOs and technical audiences alike.

Nice to Have

Industry experience in Finance Healthcare , or Retail transformation.

Hands-on exposure to container orchestration (EKS, AKS, GKE).

Familiarity with real-time streaming and advanced analytics platforms.

Shift & Work Hours :

ANZ Time Zone Support (Early Shift as Required)

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