Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Job Description:
About the Role:
We are looking for a Senior Backend Engineer to join our Customer Data Platform (CDP) team. This team powers the backend infrastructure for Uniphore’s CDP, enabling enterprises to activate and analyze customer data at massive scale.
You’ll work on low-latency APIs, robust data pipelines, and distributed services built on technologies like Spark and Kafka. Your work will power dynamic customer journeys, real-time data activation, and the intelligent decisioning layer that supports our agentic CDP. As we evolve toward AI-powered, event-driven marketing automation, you’ll help lay the technical foundation for systems that are not just fast and reliable, but context-aware and adaptive.
Responsibilities:
Architect and implement scalable backend systems leveraging modern technologies and industry best practices.
Continuously enhance the performance, reliability, maintainability and cost of existing services.
Ensure platform stability and resilience through proactive monitoring, alerting, and participation in on-call support.
Collaborate closely with cross-functional teams to deliver integrated solutions and mentor junior engineers to support team growth.
Drive enhancements to the self-service platform, enabling greater user autonomy in pipeline configuration, identity resolution, access control, and data export processes.
Design and develop AI-driven features, including intelligent agents and user-friendly interfaces for streamlined data analysis and campaign orchestration.
Expand marketing automation capabilities through the implementation of flexible workflows and advanced orchestration controls.
Continue developing deep expertise in distributed systems, frontend frameworks, and large-scale data infrastructure.
Must Have Skills:
5+ years of experience designing, building, and operating high-scale, mission-critical cloud-based production systems.
Experience with scaling and turning AWS services like s3, ec2/autoscaling
Proven expertise in architectural patterns for distributed and federated microservices.
Mastery of at least one of these platforms: GoLang, Python, Java or Scala.
Extensive experience in high-level service design with modular, composable, and extensible patterns.
Demonstrated success with data models, data stores, data lake, and big data computation engines architectures (e.g., MongoDB, ClickHouse, Spark).
Track record implementing real-time and low-latency high-availability applications (using technologies like Kafka).
Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.
Nice to Have Skills:
Strong experience with with RabbitMQ
Exposure to additional AWS services (RDS, EventBridge, Step Functions)
Knowledge of Data Warehouses like Snowflake or BigQuery
Experience with AI infrastructure and technologies.
Knowledge of RAG (Retrieve, Augment, Generate) models and their practical applications in business systems.
Experience developing and operating large-scale distributed systems with Kubernetes and Docker.
Experience with agentic platforms and orchestrating multiple specialized agents for complex task management.
Expertise in speech technologies and natural language processing.
Experience with large language models (LLMs) and their integration into enterprise applications.
Strong knowledge of advanced database technologies including SQL, NoSQL, Time Series, and GraphDB systems.
Hiring Range:
The specific rate will depend on the successful candidate's qualifications and prior experience.
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
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