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.