Technical Solution Architect

Description:

We are seeking an experienced Technical Solution Architect with 8+ years of expertise in Cloud (AWS), AI/ML, Data Engineering, and Full-Stack Development. This role requires deep technical knowledge, strong R&D skills, and the ability to design and implement scalable, secure, and high-performance solutions. The ideal candidate should be proficient in solution documentation, project estimations, and cloud-native architecture while leading digital transformation initiatives.

Key Responsibilities:

📌 Cloud & AI/ML Solution Architecture:
✔ Architect and implement scalable, secure, and high-performance cloud-native solutions using AWS, AI/ML, and full-stack technologies.
✔ Optimize data pipelines, analytics platforms, and AI/ML models to enhance decision-making capabilities.
✔ Ensure cloud security, scalability, and performance optimization, aligning with industry standards.

📌 Research & Development (R&D):
✔ Lead technology research and development (R&D) to explore emerging trends in cloud computing, AI/ML, and software architectures.
✔ Drive modernization efforts, including legacy system migration to cloud-based and microservices architectures.

📌 Solution Documentation & Project Estimations:
✔ Develop detailed solution documentation, including technical blueprints, workflows, and architectural diagrams.
✔ Provide accurate project estimations, considering cost, effort, and delivery timelines for AI/ML, cloud, and full-stack development projects.

📌 Collaboration & Leadership:
✔ Work closely with engineering, DevOps, and business teams to translate complex requirements into scalable architectures.
✔ Lead microservices and API-driven architecture design, ensuring efficient CI/CD and DevOps integration.
✔ Present technical strategies and architectural recommendations to senior leadership and key stakeholders.

Required Skills & Qualifications:

✔ 8+ years of hands-on experience in Cloud, AI/ML, and Full-Stack Development.
✔ Bachelor's degree in Computer Science or a related field (Master’s preferred).
✔ Strong expertise in developing technical documentation, solution blueprints, and project estimations.
✔ Deep knowledge of microservices architecture, API development, and DevOps methodologies.
✔ Excellent problem-solving, analytical, communication, and leadership skills.

Preferred Certifications & Experience:

✔ AWS Certified Solutions Architect – Professional or equivalent certification.
✔ Experience with multi-cloud and hybrid cloud environments.
✔ Familiarity with enterprise architecture frameworks (TOGAF, Zachman).
✔ Strong understanding of data governance and security best practices.

Technical Skills Stack:

✔ Backend: Python, Node.js, PHP, .NET (C#), Express.js
✔ Frontend: React.js, Angular, Vue.js
✔ Full-Stack Frameworks: MEAN (MongoDB, Express, Angular, Node), MERN (MongoDB, Express, React, Node)
✔ Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, Redis
✔ DevOps & CI/CD: Docker, Kubernetes, Git, Jenkins, GitHub Actions
✔ Security & Compliance: OAuth, JWT, RBAC, API Gateway
✔ Cloud Platforms: AWS (EC2, S3, Lambda, RDS, SageMaker, Data Lakes, Serverless)
✔ AI/ML Frameworks: TensorFlow, PyTorch, AWS SageMaker, OpenAI, MLOps
✔ Data Engineering: Apache Spark, Hadoop, Kafka, ETL Pipelines
✔ Infrastructure as Code (IaC): Terraform, CloudFormation