Full Stack Engineering Lead

Full Stack Lead

• Strong hands-on skills in: o Frontend: React, TypeScript, Redux, Next.js o Backend: Node.js, Python (FastAPI/Django/Flask), GoLang o Cloud: AWS services and cloud-native design o Data: SQL/NoSQL, Kafka/Kinesis, caching (Redis/Memcached) o DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CodePipeline) • Experience with microservices, distributed systems, event-driven architecture. Education & Experience • Bachelor’s/master’s degree in computer science, Engineering, or related field. • 8–14 years of experience in full-stack engineering, with 3+ years in a technical leadership role. • AWS certifications preferred (Solutions Architect, Developer). • Agile/Scrum certifications are a plus. ________________________________________ Preferred Qualifications • Experience with mobile app development (React Native/Flutter). • Exposure to AI/ML Ops or vector databases (Weaviate, Pinecone, etc.). • Domain knowledge in payments, PCI compliance, or digital commerce. • Experience with high-scale, customer-facing mobility applications. Technical Leadership • Lead, coach, and mentor full-stack engineering teams across multiple agile squads. • Translate business requirements into scalable software solutions. • Conduct code reviews, design reviews, and ensure engineering best practices. • Guide the team in architecture patterns, design decisions, and technology selection. Full Stack Engineering • Deliver high-quality applications using React, TypeScript, Redux, Next.js. • Build backend microservices using Node.js, Python, and GoLang. • Develop REST/GraphQL APIs, implement event-driven patterns, and manage distributed systems. • Ensure high performance, reliability, and security across components. Cloud Engineering – AWS • Architect and implement cloud-native applications using AWS services: o Lambda, ECS/EKS, EC2 o DynamoDB, RDS o API Gateway, CloudFront o SNS/SQS, Kinesis o S3, IAM, VPC • Implement Infrastructure-as-Code (CloudFormation/Terraform). • Optimize cloud performance, cost, and security posture. AI Integration • Collaborate with data scientists to integrate AI/ML models into production workloads. • Build POCs using Python-based AI frameworks and GenAI APIs. • Implement AI-driven features for personalization, demand prediction, routing, or automation. Mobility & Convenience Domain Expertise • Lead engineering solutions for: o Mobility solutions (EV charging platforms, fuel retail tech, telematics) o Loyalty, payments, and customer engagement o Convenience store digital platforms (POS, inventory, promotions) o Last mile delivery & order management o Mobile apps for customer journeys (fueling, payments, charging, rewards, etc.) • Map domain workflows into scalable technical designs. Delivery & Collaboration • Work closely with product managers, architects, QA, and business stakeholders. • Active involvement in sprint planning, backlog refinement, estimation, and release readiness. • Drive high-quality releases through strong DevOps and automation practices.