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Sr Manager - Solution Architect, AI

ECONZ IT SERVICES PRIVATE LIMITED
Bengaluru, Karnataka

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Job details

Qualifications

Spring Boot
Azure
Management
Law
Computer Science
Kubernetes
Big data
Software deployment
NoSQL
PaaS
Google Cloud Platform
MongoDB
Java
Master's degree
Sales
SOAP
AWS
Analysis skills
Docker
Presentation skills
Bachelor's degree
Machine learning
PostgreSQL
RabbitMQ
REST
Django
Software development
APIs
Kafka
DynamoDB
Flask
Solution architecture
AI
Leadership
Python
Pre-sales
Spring framework
MySQL
Information Technology

Full job description

About Econz

Econz was established in the year 2006, headquartered in Bengaluru, Karnataka, India. We are a Google Cloud Premier Partner and one of the top System Integrators for technologies like Google Workspace, Chrome Enterprise, Google Cloud Platform and Google for Education. Econz also has offices in the U.K. and U.A.E. We serve more than 2,500 customers and help businesses through their journey of digital transformation with cloud technologies.

We are small giants with an Intellectually curious, a bias for action, and a customer-centric team. We have a High-Trust, High-Performance Culture™. Our HR policies have three P’s at their core: People, Processes, and Psychology.

Join us, make your mark, and grow with us!

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.

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