Solutions Architect

Job Title: Sr Manager - Solution Architect, AI

Employment Type: Full Time

Location: Bengaluru

Experience: 10 - 12 years

Salary: Upto 30 LPA

Role overview

The ideal candidate will be a hands-on leader with pre-sales and architecting

expertise in cloud application modernization (AWS, GCP or Azure) and programming

skills in Java or Python. You will be responsible for assessing a customer's current

application portfolio, defining the modernization roadmap, and architecting the

future-state solutions. This role requires a unique blend of strategic foresight, deep

technical knowledge, and the leadership skills to guide a team through

transformation projects.

Key Responsibilities:

Provide leadership related to cloud transformation specifically in Application

Modernization, API Integration by leveraging AI and PaaS solutions in public

cloud (AWS, GCP, Azure).

Architectural Design: Design and document target-state architectures for

modernized applications, leveraging microservices, containerization (Docker,

Kubernetes), serverless computing, and event-driven patterns.

Hands-On Prototyping: Actively participate in building Proofs-of-Concept

(PoCs) and foundational components of the new architecture to validate

design decisions and mitigate technical risks.

Continuously evaluate and recommend new integration technologies,

platforms (iPaaS, ESB), and tools to enhance integration capabilities and

performance.

Partner with Google Cloud Technical Solution Architects to define the technical

execution plan during pre-sales and implementation stages.

Lead workload and opportunity review meetings with sales and technical

teams, and provide insight into how to achieve a technical agreement and

migration strategy, working directly with our customers, partners, and

prospects.

Work cross-functionally to resolve technical roadblocks, constraints and

product challenges affecting customer satisfaction.

Lead a fast-paced team of cloud pre-sales and deployment engineers.

Conduct customer workshops, discovery sessions, PoCs, and solution

demonstrations. Engage directly with prospects regarding architecture

discussions and best practices.

Travel on-need basis to customer locations within South or West of India for

architecture workshops or PoCs during pre-sales phase

Required Skills:

Bachelor's or Master's degree in Computer Science, Information Technology, or

a related field.

10 yrs Experience in cloud or software engineering in PaaS, SaaS at an

enterprise technology company, or similar customer facing experience.

5+ years Experience in software development and architecture. A minimum of

4 years in a dedicated technical or solution architect role, focused on

application and data integration.

5+ years Experience in People management of a technical team including

leadership engagement and team development.

5+ Experience engaging with, and presenting to, technical stakeholders and

executive leaders.

Ability to present to both technical and non-technical audiences, engaging

executive-level stakeholders in business and technology transformation.

Cloud Application Deployment: Hands-on experience designing and

deploying applications on a public cloud platform (AWS, GCP). Expertise with

serverless computing (Lambda, Functions, Elastic Beanstalk, AppFlow,

AppRunner, Fargate, CloudRun, App Engine, Firebase), containerization

(Docker, Kubernetes).

Programming: Expert-level proficiency coding skills in Java (including

frameworks like Spring Boot) or Python (including frameworks like

Django/Flask).

Integration Technologies: Experience with REST APIs, SOAP, and messaging

systems (Kafka, RabbitMQ, SQS, etc.).

API Management & Security: Proven experience with API Gateways (e.g.,

Apigee, AWS API Gateway) and implementing security standards like OAuth

2.0, OpenID Connect, and JWT.

Strategic thinker with strong analytical and problem-solving capabilities.

A collaborative mindset with a proven ability to work effectively in

cross-functional teams.

Nice-to-Have:

Knowledge or Basic Experience with big data and machine learning

frameworks, LLM Models.

Proficiency with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB,

DynamoDB) databases.