▷ Apply Now: Senior Engineering Manager

We are looking for a Senior Engineering Manager with deep technical expertise and proven leadership experience to drive large-scale product engineering and AI-enabled solution delivery. This role blends hands-on engineering in Java, Python, Node.js, React, and cloud (AWS/others) with strategic leadership in adopting AI and data-driven engineering practices. The ideal candidate can translate business goals into scalable architectures and lead teams to build next-gen digital platforms powered by intelligence and automation. --- Key Responsibilities Technical Leadership & Architecture · Lead architecture, design, and development of scalable, cloud-native, and AI-powered platforms using modern full-stack technologies. · Drive development of distributed backend systems using Java (Spring Boot) and Python (FastAPI / Django), and modern frontends using React.js / Next.js. · Define and implement microservices, APIs, and event-driven architectures integrated with AI/ML components or APIs. · Guide teams in AI integration use cases such as: o Intelligent process automation o Predictive analytics and recommendation systems o Natural Language Processing (NLP) and LLM-based assistants o Computer vision or anomaly detection pipelines · Oversee MLOps pipelines, model deployment, and cloud-based AI service integrations (e.g., AWS SageMaker, Bedrock, OpenAI APIs, Vertex AI, Azure AI). · Ensure best-in-class engineering practices: CI/CD, IaC, observability, test automation, performance optimization, and data security. Engineering Management & Delivery · Lead, coach, and scale multi-skilled engineering teams across backend, frontend, AI/ML, and DevOps disciplines. · Partner with Product Managers, Architects, and Data Scientists to deliver high-quality, reliable, and impactful solutions. · Establish clear goals, metrics, and accountability mechanisms to ensure predictable and efficient delivery. · Review architecture, perform code and design reviews, and troubleshoot complex production issues when necessary. Strategic Impact & Innovation · Shape the engineering roadmap by blending full-stack, cloud, and AI-first strategies. · Identify and operationalize AI adoption opportunities that improve business outcomes, efficiency, and user experience. · Evaluate emerging technologies (GenAI frameworks, vector databases, low-code AI tools) for potential integration. · Drive continuous improvement through innovation, reusable accelerators, and automation initiatives. --- Required Skills & Qualifications · 15+ years in software engineering with 3+ years in a senior management or architecture leadership role. · Strong hands-on expertise in: o Backend: Java (Spring Boot), Python (FastAPI, Flask, Django) o Frontend: React.js, Next.js, TypeScript o APIs: REST, GraphQL, gRPC o Cloud: AWS (preferred), Azure, or GCP o Databases: MySQL, PostgreSQL, MongoDB, DynamoDB o DevOps & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions, Terraform · Exposure to AI/ML concepts and implementations, including integration of pre-trained models, APIs, and MLOps workflows. · Experience building AI-enhanced digital platforms (chatbots, predictive analytics, LLM-based copilots, or recommendation engines). · Strong understanding of system design, scalability, and performance optimization. · Proven success in leading agile, cross-functional teams with clear delivery outcomes. · Excellent communication and stakeholder management skills. --- Preferred Qualifications · Experience with AI frameworks (TensorFlow, PyTorch, LangChain, CrewAI, Hugging Face). · Familiarity with LLM APIs (OpenAI, Anthropic, Gemini, or Azure OpenAI). · Certification in AWS / GCP / Azure or AI/ML specializations. · Experience working in product engineering, digital transformation, or AI solutioning environments.