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Role: Lead Backend Engineer
Function: Backend Engineering / Software Engineering
Location: Bangalore
Type: Full-time
Industry: Marketing Research / Data & Analytics / Consumer Insights
About Company
A global leader in data-driven marketing research, serving over 2,500 domestic and 1,500 overseas companies. The company provides consumer research panels of 1.3 million people in Japan and 36 million globally, with access to 130+ million consumer panelists worldwide.
It combines survey, behavioral, and purchase data to deliver actionable insights. Backed by approximately $848M in funding, the company is in a merger stage with over 25 years of experience.
It empowers large brands across Asia-Pacific to understand their customers and make smarter marketing decisions.
Position Overview
As a Lead Backend Engineer, you will own the design, delivery, and operation of the company's core data and marketing platforms. You'll work end-to-end — from shaping requirements with product and business teams to running reliable production systems at scale. This role sits at the intersection of engineering excellence and real business impact.
Role & Responsibilities
Must Have Criteria
Nice to Have
What We Offer
Job ID: 147284115
Skills:
Golang, Apis, Solid Principles, PostgreSQL, Kafka, Unit Testing, Redis, MySQL, Sqs, Authentication, Distributed Systems, Modular coding, Clean Code, Relational Databases, DRY, Concurrency patterns, Message broker services, Authorization, Rate limiting, Error handling, KISS
Skills:
Java, PostgreSQL, Dynamodb, Spring Boot, Kafka, API design, Redis, Nosql, Terraform, Distributed Systems, System Design, ECS, AWS, cloud-native microservices, event-driven systems, Fargate
Skills:
Java, Terraform, Azure, Kubernetes, Python, microservices architecture, RESTful API design, Go
Skills:
Java, Rabbitmq, Kafka, Sql, Go, event-driven architectures, asynchronous workflows
Skills:
containerization , Graphql, Node.js, Sql, Tensorflow, Nosql, Pytorch, Gcp, Docker, Distributed Systems, Keras, Restful Apis, Azure, Python, AWS, Go, Llm, Agentic AI, microservices architecture, RAG
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