Job
Description
Job Title: Engineering Manager (Full Stack | AWS | AI/ML | ERP Integrations) Location: Bangalore Experience: 10 - 12 Years About the Role: We are looking for an accomplished and hands-on Engineering Manager with deep expertise in Full Stack Development, Cloud Architecture, and DevSecOps. The ideal candidate must have a strong background in designing scalable applications, performance optimization, and cloud-native architectures with a focus on delivering reliable, secure, and efficient software products. This is a leadership role that combines technical expertise, team management, and delivery ownership. The candidate must have hands-on experience across the technology stack and infrastructure lifecycle. Key Responsibilities: Lead and mentor a team of Full Stack Developers across React, Node.js, and Python. Drive architectural decisions and hands-on development for scalable web and enterprise applications. Collaborate with cross-functional teams including product, QA, and DevOps to deliver high-quality releases. Design and implement architecture patterns and design patterns suitable for microservices and event-driven systems. Ensure the security, performance, and reliability of systems by implementing DevSecOps practices and tools. Lead AWS infrastructure setup including serverless, VPC, RDS, S3, Lambda, CloudFormation, etc. Manage Application Performance Monitoring (APM) tools like New Relic, Datadog, or AppDynamics. Optimize performance and conduct load testing using tools such as JMeter, Locust, Gatling, or Artillery. Drive ERP and third-party integrations and manage ETL workflows across cloudbased and hybrid systems. Own the database design and optimization strategy involving both RDBMS (MySQL/PostgreSQL) and NoSQL (MongoDB, DynamoDB, Redis). Design and optimize enterprise search solutions using OpenSearch or Elasticsearch. • Ensure coding standards, CI/CD, test automation, and documentation are followed by the team. Support recruitment efforts and conduct performance reviews for engineers. • Work on end-to-end e-commerce applications including catalog management, search optimization, order and payment processing, and customer engagement modules, with strong hands-on expertise in each domain. Provide technical leadership in building, deploying, and scaling AI/ML solutions aligned with business goals. Required Skills & Qualifications: 10 - 12 years of progressive experience in software engineering with 3+ years in leadership roles. Expertise in Full Stack Development using React.js, Node.js, Python. Strong understanding of software architecture patterns (e.g., layered, hexagonal, microservices). Proficiency in design patterns such as Singleton, Factory, Observer, Strategy, etc. Hands-on experience in deploying and managing cloud-native applications on AWS. Strong knowledge of DevSecOps practices, security automation, IAM, and CI/CD. Hands-on experience with APM tools for end-to-end monitoring and observability. Practical understanding and hands-on execution of performance tuning and load testing methodologies. Deep hands-on expertise in integrating with ERP systems (SAP, Oracle, custom solutions). Proven experience in designing and executing ETL pipelines and workflows. Advanced hands-on experience in database design and performance tuning for both RDBMS and NoSQL databases. Working experience and implementation expertise with search platforms like OpenSearch/Elasticsearch. Hands-on experience in building, scaling, and maintaining end-to-end ecommerce applications. Proven experience in managing and solutioning AI/ML systems, including model development, deployment, and monitoring. Preferred Certifications (Bonus Points): AWS Certified Solutions Architect (Associate / Professional) AWS Certified DevOps Engineer Certified Kubernetes Administrator (CKA) TOGAF or similar architecture certifications Soft Skills: Excellent communication and interpersonal skills Strong problem-solving and analytical thinking Ability to drive execution with ownership and autonomy Passion for mentoring and building high-performing teams
