Overview

Experience: 8+ Years

PAN, UAN, AADHAR

“ Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets."

Key Responsibilities

• Design end-to-end solution architecture aligned with business and technical requirements.
• Define application, integration, data, security, and infrastructure architecture for enterprise solutions.
• Collaborate with business stakeholders, product owners, architects, and development teams to translate business requirements into scalable technical solutions.
• Lead architecture discussions and provide technical direction throughout the project lifecycle.
• Define integration patterns, API strategies, and microservices architecture.
• Review and approve solution designs, technical specifications, and implementation approaches.
• Ensure solutions adhere to enterprise architecture standards, security policies, and best practices.
• Provide technical leadership to development teams during implementation and deployment.
• Identify technical risks, dependencies, and mitigation strategies.
• Drive performance optimization, scalability, availability, and disaster recovery planning.
• Support DevOps, CI/CD, cloud migration, and automation initiatives.
• Participate in architecture governance, design reviews, and technical decision-making.

Required Skills

• 8+ years of strong hands-on experience in Python development.
• Strong expertise in designing and developing enterprise-grade applications using modern architectural principles.
• Experience with Microservices Architecture, RESTful APIs, Event-Driven Architecture, and API Gateways.
• 3+ years of experience working with cloud platforms.
• 1+ years of hands-on experience with Google Cloud Platform (GCP).
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.
• Solid understanding of CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).
• Strong knowledge of relational and NoSQL databases.
• Experience with messaging technologies such as Apache Kafka, RabbitMQ, or Azure Service Bus.
• Strong understanding of application security, including OAuth 2.0, JWT, SAML, and enterprise integration patterns.
• Experience working in Agile/Scrum environments and following Agile delivery methodologies.
• Excellent stakeholder management, communication, collaboration, and presentation skills.

Preferred Skills

• Experience with AI/ML platforms, Data Lake, Data Warehouse, or Analytics solutions.
• Experience with Azure Services, Databricks, Snowflake, Microsoft Fabric, or similar enterprise platforms.
• TOGAF, Azure Solutions Architect, AWS Solutions Architect, or equivalent certifications are preferred.