Senior Architect

Location:

Experience:

Role Type:

About the Role

We are seeking a highly skilled Senior Architect

Key Responsibilities

• System Design & Architecture

• Define end-to-end architecture for enterprise applications, ensuring scalability, security, and high availability.

• Lead design reviews, propose best-fit architectures, and align solutions with business requirements.
• Build microservices-based and event-driven systems with strong integration capabilities.

• Database Architecture

• Design and optimize relational (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, DynamoDB) databases.

• Establish data governance, security, replication, and disaster recovery strategies.
• Guide teams on performance tuning, query optimization, and schema evolution.

• Cloud (AWS)

• Architect cloud-native solutions leveraging AWS services (EC2, Lambda, S3, RDS, EKS, CloudFormation/Terraform).

• Define cost-optimized, resilient, and secure cloud infrastructure.
• Drive adoption of DevOps/DevSecOps practices for CI/CD and infrastructure automation.

• Artificial Intelligence / Machine Learning

• Integrate AI/ML models into enterprise applications (NLP, computer vision, predictive analytics).

• Work with Data Scientists to operationalize ML pipelines on AWS (SageMaker, AI/ML services).
• Evaluate emerging AI technologies and recommend adoption strategies.

• Leadership & Collaboration

• Mentor engineering teams on design principles, coding practices, and architectural excellence.

• Partner with business leaders to define technology strategy and digital transformation roadmap.
• Represent the company in technical discussions with clients, partners, and industry forums.

Required Skills & Experience

• System Design & Architecture:

  8+ years in designing large-scale distributed systems.

• Database Expertise:

  Strong knowledge of relational and NoSQL databases, data modeling, and query optimization.

• Cloud (AWS):

  Hands-on experience with AWS cloud services, serverless, containers, and security frameworks.

• AI/ML:

  Exposure to AI/ML lifecycle, from model development to deployment.

• Programming:

  Strong in at least one backend language (Java, Python, Node.js) with exposure to APIs and microservices.

• DevOps:

  Familiar with CI/CD, container orchestration (Kubernetes), and IaC tools (Terraform, CloudFormation).

• Soft Skills:

  Strong leadership, problem-solving, and communication skills.

Preferred Qualifications

• AWS Certified Solutions Architect (Professional) or equivalent.
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Knowledge of data security standards (GDPR, DPDP, HIPAA, etc.).
• Experience in BFSI, Healthcare, or Enterprise SaaS domains.

Why Join Us

• Opportunity to lead cutting-edge AI, Cloud, and Digital Transformation projects.
• Work with a fast-growing, innovation-driven technology company.
• Collaborative, open culture with a focus on learning and career growth.