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.

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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.

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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.

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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.