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Today’s consumers want an always-available customer service experience that leaves them feeling valued and respected. Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach. We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time. Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works. Companies such as Scopely, Supercell, Brex, EA, Square along with hundreds of other leading brands use the Helpshift platform to mobilize customer service delivery. Over 900 million active monthly consumers are enabled on 2B+ devices worldwide with Helpshift.\nSome numbers that illustrate our scale:\n85k/rps\n30ms response time\n300 GB data transfer/hour\n1000 VMs deployed at peak\nRequirements\n4+ years of experience in backend engineering, building scalable, reliable, and high-performance systems in production environments\nStrong proficiency in at least one high-level programming language (Python, Java, or similar) with solid grounding in data structures, algorithms, and problem-solving\nStrong working knowledge of SQL, including query optimization, performance tuning, and working with large-scale datasets\nHands-on experience with relational and/or analytical databases (e.g., Snowflake, Redshift, PostgreSQL, MySQL, etc.), including data modeling and schema design\nGood understanding of distributed systems fundamentals, including scalability, fault tolerance, and system design\nFamiliarity with cloud platforms (AWS/GCP/Azure) and modern data infrastructure concepts\nExposure to data-intensive applications, such as high-throughput APIs, event-driven systems, or analytics platforms\nInterest in or experience with modern data platforms (e.g., Snowflake) and willingness to quickly learn data engineering tooling and paradigms\nBasic understanding of security, networking, and production system operations (monitoring, observability, reliability)\nExposure to or strong interest in GenAI/LLM capabilities (e.g., embeddings, vector search, prompt engineering, or LLM-powered applications) is highly desirable\nExperience with streaming or real-time systems (Kafka, Kinesis, etc.) is a plus\nExperience with data pipeline technologies (Spark, Airflow, etc.) is a plus\nData visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)\nBachelor’s Degree in Computer Science (or equivalent)\nStrong verbal and written communication skills\nResponsibilities\nDesign and build scalable backend systems that power data-intensive and analytics-driven use cases\nDevelop high-performance data access layers and services, enabling efficient querying, transformation, and serving of large datasets\nWork with modern platforms like Snowflake to build and optimize data workflows\nBuild and contribute to intelligent data products, leveraging GenAI/LLM capabilities for use cases like anomaly detection, summarization, and insights generation\nApply strong data modeling practices to design clean, scalable, and maintainable data schemas for analytics and product use cases\nCollaborate closely with product, analytics, and business stakeholders to translate requirements into robust technical solutions\nOwn end-to-end system design including architecture, performance, scalability, reliability, and security considerations\nContinuously improve system performance through query optimization, caching strategies, and efficient data access patterns\nContribute to real-time and near real-time data processing systems where required\nWrite clear design documents, conduct code reviews, and ensure high engineering standards\nMentor team members on backend engineering best practices, system design, and modern data platform usage\nBenefits\nHybrid setup\nWorker's insurance\nPaid Time Offs\nOther employee benefits to be discussed by our Talent Acquisition team in India.\nHelpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status\nPrivacy Notice\nBy providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. 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