Your role
Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services. Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.
Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results. Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work—enabling companies to work from anywhere and making business communication more human.
Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.
This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office. The position will require a hybrid working arrangement based out of our Bengaluru office.
What you’ll do
- Contribute to the design, development, and maintenance of information retrieval and distributed systems.
- Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.
- Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.
- Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.
- Ensure high availability, reliability, and fault tolerance in search services.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Develop and optimize real-time distributed systems, microservices, and message-driven architectures.
- Implement and maintain monitoring, alerting, and performance metrics for platform reliability.
- Evaluate and integrate emerging technologies to improve search capabilities.
- Write clean, modular, and well-tested code while following best engineering practices.
- Participate in code reviews to ensure quality, maintainability, and scalability.
- Provide mentorship and technical guidance to junior engineers.
Skills you’ll bring
- 3-6 years of experience in information retrieval or distributed systems engineering.
- Strong understanding of search platforms and experience maintaining search engines at scale.
- Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.
- Experience with NLP/NLU within the context of information retrieval.
- Expertise in dense vector manipulation and optimization.
- Familiarity with hybrid search, rank fusion, and reranking techniques.
- Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).
- Strong understanding of distributed systems, microservices, and message-driven architectures.
- Passion for real-time performance optimization and high availability.
- Experience with API design using Swagger, OpenAPI, or equivalent tools.
- Knowledge of gRPC or equivalent RPC protocols.
- Experience with Docker and Kubernetes for containerized deployments.
- Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).
- Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.
- Knowledge of CI/CD frameworks and continuous delivery practices.
