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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Experience with Rust or TypeScript is a plus
What we offer:
Competitive benefits and perks
Robust training program
Inclusive office environment
Vibrant environment to cultivate collaboration and connection
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