6+ years of experience in Kafka administration and distributed streaming systems
Strong knowledge of AWS cloud services like MSK and Kinesis
Skills in Linux administration and scripting/automation
Proficiency in Python with a focus on platform reliability engineering
Eagerness to learn and implement new and evolving technologies
Preferred experience with Flink, Spring Boot, Kubernetes, and OpenSearch administration
Responsibilities
Administer and optimize Kafka, AWS MSK, Kinesis, Kafka Connect, and OpenSearch platforms
Design scalable and secure streaming architectures
Monitor, troubleshoot, and performance-tune distributed systems while driving capacity planning
Implement security controls and operational best practices
Support integrations with data lakes, Snowflake, and analytics platforms
Automate infrastructure provisioning using Terraform or similar IaC tools
Collaborate with teams to enable real-time data processing and AI-driven solutions
Benefits
Opportunity to work in a collaborative environment across multiple locations
Exposure to cutting-edge technology tools and practices
Career advancement through the implementation of AI-assisted engineering
Involvement in major enterprise-scale projects with real-time data solutions
Flexible working hours to accommodate communication with global teams
Full Job Description
Overview
We are seeking a highly skilled Builder to design and implement AI-driven solutions that scale across cloud data lakes. This role will collaborate closely with engineering and data teams to prototype and productionize data solutions at scale that include document and vector search, and semantic retrieval. This role will advise engineering leadership on technology selection and direction, while ensuring robust, scalable, and well-governed production deployments. This is a hands on role with significant architecture, code contribution and mentoring other builders
Key Responsibilities
Design and implement AI-driven data solutions that scale across cloud data platforms such as Snowflake or Databricks or BigQuery (anyone one of these)
Prototype and productionize LLM-based systems for dynamic SQL generation, document search, and semantic retrieval
Build and maintain vector search capabilities using OpenSearch or similar technologies
Develop metadata and data catalog layers to enable LLM reasoning and discoverability
Build reliable, performant, and well-governed data pipelines for AI workloads
Advise engineering leadership on technology selection and strategic direction aligned with company needs
Partner with global engineering teams to deliver high-quality AI data solutions in production
Experience in making Data ready for AI with Semantic layer (Nice to have)
Required Technical Background
Expertise in large-scale cloud data platforms (Snowflake or Databricks or BigQuery, or equivalent)
Hands-on experience building LLM-driven workflows for dynamic SQL generation or intelligent data access
Proficiency in Python and/or Java for AI pipeline development
Experience with vector search and OpenSearch (or similar) for document and semantic retrieval
Familiarity with data cataloging or metadata systems such as custom YAML schemas, Atlan, or DataHub
Strong troubleshooting and debugging skills in production environments.
High ownership, critical thinking, curiosity, and execution skills with a collaborative mindset for working across global teams
Preferred Qualifications
Prior experience advising engineering leadership on well-rounded technology selection and direction along with tradeoffs
Demonstrated ability to design and implement enterprise-grade AI and data solutions.
Strong learning orientation and enthusiasm for emerging AI and data engineering technologies.
Ability to work independently and drive execution across distributed teams.
Experience
8 to 12 years in software or Software Engineering, Data Engineering including recent hands-on work with AI systems
About NICE Ltd.
NICE Ltd. is an Israel-based company, specializing in telephone voice recording, data security, surveillance, and Robotic Process Automation as well as systems that analyze recorded data.
The company serves various industries, such as financial services, telecommunications, healthcare, outsourcers, retail, media, travel, service providers, and utilities.
The primary listing of the company's shares is on the Tel Aviv Stock Exchange; where it is part of the TA-35 Index.
Barak Eilam became CEO in April 2014, replacing Zeevi Bregman. Eilam previously headed the company's Americas division. As of November, 2020 the company had ~6,800 employees.
NICE was founded in 1986 as Neptune Intelligence Computer Engineering by 7 Israeli former army colleagues. The company initially focused on developing technology for security and defense applications, but soon refocused their efforts on civilian applications, mainly for contact center, financial services and business intelligence markets.
