Lead Engineer

About the Role: Lead Engineer

GlobalLogic is seeking a Lead Engineer to join their AI-driven Market Intelligence (MI) Platform team. This next-generation, serverless data and analytics platform aggregates internal and external data to provide real-time insights for strategic decision-making across the ecosystem. This role is for a hands-on technical leader with deep expertise in serverless AWS architecture, Node.js/React.js stack, and practical experience in data management and machine learning integration. You will blend engineering leadership with data strategy alignment, ensuring all components — from ingestion pipelines to AI-powered analytics — operate cohesively, securely, and at scale within enterprise-grade AWS environments.

Requirements

• 8+ years of professional experience in software engineering and architecture.
• Proven experience designing serverless AWS solutions (Lambda, API Gateway).
• Expertise in Node.js / TypeScript and React.js ecosystems.
• Solid understanding of data architecture, data modeling, ETL/ELT processes, and ML model integration.
• Hands-on experience integrating AI/ML components.
• Experience with CI/CD pipelines, IaC, and DevSecOps workflows.
• Familiarity with enterprise security standards (IAM, SAML, Okta/Azure AD).
• Strong communication, documentation, and stakeholder management skills.

Preferred Qualifications

• Experience with AI/ML-driven data platforms, semantic search, or recommendation systems.
• Understanding of data lake architectures and analytics pipelines.
• Background in data governance, observability, and performance optimization for serverless workloads.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Job Responsibilities

• Serverless Architecture Design: Design and evolve the end-to-end serverless architecture for the MI Platform using AWS Lambda, API Gateway, S3, CloudFront, SQS, etc. Ensure scalability, observability, and performance for all backend and frontend components.
• Data & ML Solution Design: Define data ingestion and transformation flows, ensuring interoperability with internal and external data sources. Collaborate with ML engineers to design and integrate ML inference and model-serving pipelines within the serverless ecosystem (e.g., Bedrock, SageMaker, or custom endpoints). Enforce data quality, lineage, and governance best practices.
• Technical Leadership: Provide architectural guidance to backend (Node.js) and frontend (React.js) teams. Drive code and design reviews, ensuring best practices and alignment with security and compliance frameworks.
• Integration & API Governance: Design secure APIs and data access layers between application services, ML models, and the frontend. Define patterns for asynchronous and event-driven communication between services.
• Collaboration & Communication: Partner with Product, UX, Data, and DevOps teams to translate business and analytical requirements into scalable solutions. Present architecture vision, trade-offs, and recommendations to stakeholders.

What GlobalLogic Offers

GlobalLogic prioritizes a culture of caring, fostering an inclusive environment where you can build meaningful connections. They are committed to continuous learning and development, offering many opportunities to sharpen skills and advance careers with tools like Career Navigator. You'll engage in interesting and meaningful work, helping clients reimagine possibilities and bringing cutting-edge solutions to market. GlobalLogic values balance and flexibility, supporting employees in integrating work and life effectively. As a high-trust organization, integrity and ethical practices are cornerstones of their value proposition.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, they have been at the forefront of the digital revolution, helping create innovative and widely used digital products and experiences. Today, they continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Key skills/competency

• Serverless Architecture
• AWS Lambda
• API Gateway
• Node.js
• React.js
• Machine Learning Integration
• Data Architecture
• CI/CD
• DevSecOps
• Technical Leadership