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.