Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
Search is increasingly a core product surface in SaaS, shaping how users navigate large volumes of conversations, documents, and analytics. This role sits at that intersection, focused on information retrieval within a cloud-native communications platform used at significant scale. The emphasis on hybrid search and ranking approaches reflects where modern SaaS search is heading as products blend classical retrieval with vector-based techniques.
For a SaaS engineering career, search work tends to be unusually transferable because it combines product relevance with platform engineering. Experience improving indexers, analyzers, and re-ranking strategies maps well to other SaaS domains where discoverability and personalization matter. The listing also signals exposure to the operational side of SaaS, including reliability, cost efficiency, observability, and distributed systems patterns that become more important as usage grows.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 worldwide leverage our technology to communicate effectively and efficiently.
Every engineer on our global engineering team has the opportunity to take ownership of a large portion of the product, enabling them 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, powerful end-user-facing analytics experiences that enable Dialpad customers to make data-driven business decisions. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, and Engineers specializing in Data Engineering, Data Science, and Telephony.
This position reports to the Engineering Manager, based in Bengaluru, and 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.
