Software Engineer (Search)

Responsibilities

• 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

Additional Information

About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . 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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Dialpad? Share your experience