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Fairground

B2B sales intelligence platform

Technical Lead

Backend EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of software engineering experience, including a meaningful portion in senior or lead roles at fast-paced startups.
  • Strong proficiency in Python, Node.js, or a similar language, with the ability to architect complex systems and navigate large codebases.
  • Working knowledge of PostgreSQL, MongoDB, or comparable databases, including schema design, query optimization, and indexing.
  • Hands-on experience with AWS, GCP, or Azure, including containerization, continuous integration and continuous delivery, and observability.
  • Experience with AI/LLM agentic frameworks such as LangChain, CrewAI, or AutoGen, or with low-code/workflow automation platforms.

Responsibilities

  • Design, implement, and optimize scalable backend systems and AI-driven workflows from specification through production.
  • Own the architectural roadmap and make pragmatic, high-leverage decisions that scale with the platform.
  • Lead integration of large language models, agentic frameworks, and workflow automation to enhance sales intelligence features.
  • Profile, debug, and optimize the platform for high availability, low latency, and seamless third-party integrations.
  • Take high-impact features from discovery through deployment by writing technical designs, breaking down complexity, and iterating on feedback.
  • Write clean, maintainable, well-tested code; champion engineering best practices and lead code reviews.

About the Company

Fairground

B2B sales intelligence platform

Fairground is a business-to-business go-to-market data company operating with the Orbital product organization. The company ingests, enriches, and structures company and contact data into sales signals, prospecting workflows, and AI-assisted actions. It serves sales, revenue operations, marketing, and customer-success teams. Its operating model centers on data infrastructure and customer workflows combined in a sales-intelligence platform. Teams work across data engineering, AI, software, product, go-to-market operations, sales, and customer success. The business combines technical knowledge, practical execution, and ongoing support across the markets it serves.

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