Job Summary:
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 company’s 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.
Technical Expertise:
Deep hands-on knowledge and architecture experience with
AWS services
:
IaaS:
EC2, VPC, S3, EBS, ELB, Auto Scaling, etc.
PaaS:
RDS, Lambda, API Gateway, Fargate, DynamoDB, Aurora, Step Functions.
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:
Bachelor’s or Master’s 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
.
