Senior Full Stack Engineer

Job Responsibilities

• 
  Solution Architecture: Lead the design,development, and deployment of sophisticated, secure, and scalable applicationsusing modern front-end and back-end technologies.

• AI-Powered Innovation: Integrate and leverageAI/ML services (e.g., OpenAI, Azure AI, Google Vertex AI) to build intelligentfeatures and automate business processes for our enterprise clients.

• Cloud & DevOps: Architect and managerobust solutions on AWS, Azure, or GCP. Champion a strong DevOps culture bybuilding and maintaining automated CI/CD pipelines using Infrastructure as Code(IaC), Docker, and Kubernetes.

• Observability & Performance: Implement and manage monitoring, logging, and alertingsolutions (e.g., using Datadog, Prometheus, Grafana, ELK Stack) to ensure highavailability and performance of production systems.

• Data-Driven Systems: Design and implementsolutions that involve complex data models and integrate with large-scaledatabases and data pipelines.

• Client Partnership: Collaborate directlywith enterprise stakeholders to translate complex business requirements intodetailed technical specifications, lead solution demos, and iteratively refineproducts based on feedback.

• Team Mentorship & Quality Advocacy: Mentor junior engineers, conduct rigorous code reviews, andenforce best practices in testing, security (OWASP Top 10), and accessibility(WCAG/ADA) to ensure enterprise-grade quality.

• Frontend: Expert proficiency inat least one modern framework (React, Angular, or Vue) with TypeScript. Deepunderstanding of state management (e.g., Redux, Zustand, NgRx), modern CSS, andbuilding responsive, accessible UIs.

• Backend: Proven experience withone or more server-side languages (Node.js, Python, .NET Core, Java), includingdesigning and building secure RESTful and/or GraphQL APIs.

• Databases: Advanced proficiencywith both SQL (e.g., PostgreSQL, SQL Server) and NoSQL (e.g., MongoDB,DynamoDB, Cosmos DB) databases, including data modeling and performance tuning.

• Cloud Platform: Demonstrable experiencedeploying and managing production applications on AWS, Azure, or GCP (includingserverless, containers, IAM, and networking).

• DevOps & IaC: Hands-on experience withCI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps) and Infrastructure asCode (e.g., Terraform, CloudFormation). Strong knowledge of Docker andcontainer orchestration with Kubernetes.

• Architecture & Integration: Solid understanding of microservices and event-drivenarchitecture. Proven experience integrating with enterprise systems (e.g., SAP,Salesforce, Oracle) and third-party services (e.g., Auth0, Stripe).

• Soft Skills: Exceptionalcommunication, problem-solving, and leadership skills. Ability to workautonomously and translate ambiguous client needs into concrete technicalsolutions.

Nice-to-Have Skills

• Experience within aspecific enterprise domain (e.g., Energy, Manufacturing, Supply Chain,Healthcare).

• Relevant cloudcertifications (e.g., AWS Certified Solutions Architect, Azure DeveloperAssociate).

• Experience with datavisualization libraries or tools (e.g., D3.js, Power BI, Tableau).

Educational Qualifications: B.Tech / M.Tech / MCA