Affle India - Senior Software Engineer - Node.js & BigQuery Platform

Gurgaon / Bengaluru / Hybrid

Experience: 2-10 Years

Employment Type: Full-Time, Permanent

Industry: Product / AdTech / Data Platform

Job Summary

We are looking for a highly skilled Senior Software Engineer with strong expertise in NodeJS, distributed systems, Big Data technologies, MySQL, and BigQuery to build and scale high-performance, data-driven platforms.

The ideal candidate will be responsible for designing, developing, and optimizing scalable backend systems and data platforms while collaborating with product managers, architects, and engineering teams.

The role requires strong experience in backend development, microservices architecture, cloud platforms, and modern engineering practices.

Candidates with a strong ownership mindset, problem-solving capabilities, and passion for building scalable systems in fast-paced environments are encouraged to apply.

Key Responsibilities

Design, develop, and maintain scalable backend services and platform components
Build high-performance, resilient, and distributed systems using NodeJS and microservices architecture
Work closely with product managers, architects, and engineering teams to translate business requirements into technical solutions
Participate in architecture discussions, technical design reviews, and technology decision-making
Build and optimize large-scale data pipelines and analytics platforms
Work extensively with MySQL, BigQuery, PostgreSQL, MongoDB, and data warehouse solutions
Develop and maintain APIs, backend services, and platform integrations
Implement search and indexing capabilities using Elasticsearch or similar technologies
Contribute to platform scalability, performance optimization, and security enhancements
Work with Big Data technologies such as Kafka, Spark, Airflow, Trino, or similar frameworks
Build cloud-native solutions on AWS or GCP environments
Implement CI/CD pipelines and DevOps best practices
Participate in troubleshooting, incident management, and root cause analysis for production systems
Build proof of concepts (POCs) to evaluate new tools and technologies
Mentor junior engineers and contribute to engineering best practices, code quality, and technical excellence
Collaborate with cross-functional teams to ensure timely and high-quality project delivery

Required Technical Skills

Strong hands-on experience in NodeJS backend development
Experience working with MySQL is mandatory
Hands-on experience with BigQuery and data warehouse solutions
Strong understanding of distributed systems and microservices architecture
Experience with PostgreSQL and MongoDB
Knowledge of Big Data technologies such as Kafka, Spark, Airflow, or Trino
Experience with Elasticsearch, Lucene, or search platforms
Strong understanding of REST APIs and backend service development
Hands-on experience with AWS or GCP cloud platforms
Familiarity with CI/CD tools such as Jenkins, AWS CodePipeline, GitHub Actions, or similar
Experience with Docker and containerized deployments
Knowledge of testing frameworks such as Jest, JUnit, or similar
Understanding of code quality and monitoring tools like SonarQube
Exposure to ReactJS or frontend technologies is a plus

Preferred Skills

Experience building large-scale, high-traffic applications
Exposure to analytics, AdTech, SaaS, or data platform products
Familiarity with AI-assisted development tools such as Claude, N8N, or LLM-based workflows
Experience in system performance optimization and scalability engineering
Understanding of DevOps, infrastructure automation, and observability tools
Knowledge of Agile/Scrum development methodologies

Soft Skills

Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Strong ownership and accountability mindset
Ability to work in fast-paced, agile environments
Leadership and mentoring capabilities

Eligibility Criteria

Experience: 2 - 10 Years
Strong experience in NodeJS, MySQL, and BigQuery is mandatory
Bachelors Degree in Engineering, Computer Science, IT, or related field preferred

Why Join Us?

Opportunity to work on large-scale, data-driven platforms
Exposure to modern cloud, Big Data, and distributed system technologies
Collaborative engineering culture with high ownership
Opportunity to work on high-impact products used at global scale

(ref:hirist.tech)