Architect

We are seeking an experienced Senior Solutions Architect to design and lead innovative, scalable, and secure enterprise solutions. This role involves leveraging expertise in Core Java , Distributed Cloud Solution , Microservices , Docker/Kubernetes , Data Analysis , AWS ML services , and Generative AI to create impactful applications and systems. The ideal candidate is a visionary with strong technical, leadership, and project management skills to drive end-to-end architecture and ensure alignment with business objectives.

Key Responsibilities

Solution Architecture & Design

• Architect, design, and implement robust, scalable, and secure microservices-based systems using Core Java and modern frameworks.
• Lead the adoption of containerization using Docker and orchestration platforms like Kubernetes for CI/CD pipelines.
• Build scalable cloud-native solutions on AWS while optimizing cost, performance, and security.

Generative AI & Machine Learning

• Design and integrate Generative AI solutions to enhance customer experiences and optimize internal processes.
• Lead projects utilizing AWS Machine Learning (SageMaker, Personalize, Comprehend) and other AI/ML frameworks to derive actionable insights.

Data Analysis & Integration

• Lead the design of data pipelines and analytics solutions, ensuring optimal storage, retrieval, and processing of large-scale datasets.
• Implement tools and frameworks for predictive analytics and data visualization using Quicksight or similar.

Leadership & Strategy

• Collaborate with cross-functional teams to define technical requirements and deliver impactful solutions.
• Inspire and guide others by adhering to strong personal and professional principles, promoting transparency, collaboration, and ethical behavior within the team.
• Stay ahead of emerging technologies in AI/ML, cloud, and containerization to recommend enhancements and innovations.
• A motivated self-starter who takes pride in contributing to the success of both individual and team goals.

Required Skills & Experience

Technical Expertise

• Core Java development with deep knowledge of OOP principles, multithreading, and performance tuning.
• Expertise in Microservices Architecture , REST APIs, and event-driven architecture.
• Proficiency in containerization tools (Docker) and orchestration platforms (Kubernetes).
• Experience in building and deploying cloud solutions using AWS services (EC2, Lambda, S3, RDS, etc. ).

Data Analysis & Visualization

• Proven experience in data analysis, ETL pipelines , and working with large datasets.
• Proven experience with cloud-based data warehouse solutions such as Amazon Redshift , Snowflake , or Google BigQuery .
• Strong understanding of data warehousing concepts (e. g. , OLAP, OLTP, star schema, partitioning, and indexing).
• Strong knowledge of SQL , NoSQL , and data visualization tools (AWS QuickSight, Power BI, Tableau).

Leadership & Communication

• Excellent problem-solving skills with the ability to handle complex challenges.
• Demonstrated experience leading technical teams and driving enterprise-level projects.
• Strong stakeholder management and communication skills.

Preferred Qualifications

• Certification in AWS Solutions Architect or AWS Machine Learning Specialist .
• Familiarity with DevOps practices and tools like Jenkins, GitLab, Terraform, etc.
• Knowledge of other programming languages (Python, Scala) is a plus.
• Hands-on experience with AWS ML services (SageMaker, Rekognition, Forecast, etc. ) and Generative AI frameworks (e. g. , GPT, Hugging Face, TensorFlow).