Founding Engineer

Different • Marketing Automation • Marketing & Sales AI • Python • Go • JavaScript • Java • SQL • Node JS • Scala • 2 days ago
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Location
In office (Bengaluru)
Experience
3+ years exp

First seen by Alion on Oct 22, 2026.

Overview
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Profile match

Different

Different is a B2B SaaS marketing platform that builds AI-driven tools around business goals to enable deeper customer engagement and transform how businesses plan and execute marketing.
different.ai • HQ: Bengaluru, India • Marketing & Sales AI • Marketing Automation • Est. 2023
Tech stack of Different

Responsibilities:

  • Design, develop, and maintain scalable backend and data-platform systems from the ground up.
  • Build highly reliable data-intensive services, APIs, pipelines, and platform components.
  • Design and develop event-driven architectures using Kafka for real-time data processing and distributed systems.
  • Work with large-scale datasets and build systems for data ingestion, processing, storage, and serving.
  • Own backend and data-platform architecture, technical design, development, testing, deployment, and production reliability.
  • Make key decisions around system architecture, data architecture, technology selection, scalability, performance, and reliability.
  • Develop distributed systems that support AI/ML and generative AI use cases.
  • Work closely with founders and product teams to translate business requirements into scalable backend and data-platform solutions.
  • Establish engineering best practices around code quality, testing, observability, CI/CD, and production operations.
  • Take end-to-end ownership of projects from architecture and development through production.
  • Contribute to defining the engineering standards and foundational data infrastructure of the organization.


Requirements:

  • 3-7 years of backend/software engineering experience.
  • Strong experience in Scala or another JVM/backend language.
  • Hands-on experience with Apache Kafka and event-driven architectures.
  • Strong SQL and database knowledge.
  • Experience building data platforms, data pipelines, or data-intensive backend systems.
  • Experience with distributed systems/microservices.
  • Strong understanding of APIs and backend services.
  • Experience with AWS/GCP/Azure.
  • Good understanding of system design, scalability, reliability, and performance.
  • Good-to-have: Python / Java / Go / Node.js, Spark / Flink, Databricks, Airflow, data lake/lakehouse architecture, streaming data pipelines, AI/ML or GenAI platform exposure, observability, and production infrastructure.

Skills

APIs, JVM, Java, Kafka, SQL, Scala, backend, database, microservices

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