Minfy Technologies - Presales Solution Architect - Cloud Engineering

We are seeking a highly experienced and customer-focused Presales Architect to join our Solution Engineering team.

The ideal candidate will have a strong background in AWS IaaS, PaaS, and SaaS services, deep expertise in cloud architecture, and solid exposure to data platforms, including Amazon Redshift, AI/ML workloads, and modern data architectures.

Familiarity with Azure and Google Cloud Platform (GCP) is a strong advantage.

This role is a strategic blend of technical solutioning, customer engagement, and sales support, playing a critical role in the pre-sales cycle by understanding customer requirements, designing innovative solutions, and aligning them with the companys service offerings.

Key Responsibilities :

Pre-Sales and Solutioning :

- Engage with enterprise customers to understand their technical requirements and business objectives.

- Architect end-to-end cloud solutions on AWS, covering compute, storage, networking, DevOps, and security.

- Develop compelling solution proposals, high-level designs, and reference architectures that address customer needs.

- Support RFI/RFP responses, create technical documentation, and deliver presentations and demos to technical and non-

technical audiences.

- Collaborate with Sales, Delivery, and Product teams to ensure alignment of proposed solutions with client expectations.

- Conduct technical workshops, proof of concepts (PoCs), and technical validations.

- Deep hands-on knowledge and architecture experience with AWS services :

1. IaaS : EC2, VPC, S3, EBS, ELB, Auto Scaling, etc.

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

3. SaaS & Security : AWS Organizations, IAM, AWS WAF, CloudTrail, GuardDuty.

- Understanding of multi-cloud strategies; exposure to Azure and GCP cloud services including hybrid architectures is a plus.

- Strong knowledge of DevOps practices and tools like Terraform, CloudFormation, Jenkins, GitOps, etc.

- Proficiency in architecting solutions that meet scalability, availability, and security requirements.

Data Platform & AI/ML :

- Experience in designing data lakes, data pipelines, and analytics platforms on AWS.

- Hands-on expertise in Amazon Redshift, Athena, Glue, EMR, Kinesis, and S3-based architectures.

- Familiarity with AI/ML solutions using SageMaker, AWS Comprehend, or other ML frameworks.

- Understanding of data governance, data cataloging, and security best practices for analytics workloads.

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, or related field.

- 10+ years of experience in IT, with 5+ years in cloud architecture and pre-sales roles.

- AWS Certified Solutions Architect Professional (or equivalent certification) is preferred.

- Strong presentation skills and experience interacting with CXOs, Architects, and DevOps teams.

- Ability to translate technical concepts into business value propositions.

- Excellent communication, proposal writing, and stakeholder management skills.

Nice to Have :

- Experience with Azure (e.g., Synapse, AKS, Azure ML) or GCP (e.g., BigQuery, Vertex AI).

- Familiarity with industry-specific solutions (e.g., fintech, healthcare, retail cloud transformations).

- Exposure to AI/ML MLOps pipelines and orchestration tools like Kubeflow, MLflow, or Airflow.