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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Database DevOps & Release Engineer So, what’s the role all about? We're hiring a Database DevOps & Release Engineer for our Data Engineering and Database Operations team. This role goes beyond traditional DBA work: you'll need strong SQL and T-SQL skills, working knowledge of DevOps and GitOps principles, and ownership of how database changes get built, reviewed, packaged, and deployed. You'll review and approve pull requests for database changes, package those changes (DDL, stored procedures, functions, and CLR/assembly changes) into deployable artifacts using DACPAC, SLN, and manifest files, and build and manage the CI/CD pipelines that deploy them alongside production application code. You'll also handle database support for our lower and lab environments, so replication, high availability, and backup/restore skills matter as much as your DevOps background. How will you make an impact? Review and approve pull requests for database changes, ensuring code quality, standards, and deployability before merge. Package database changes (DDL, stored procedures, functions, and CLR/assembly changes) into deployable artifacts using DACPAC, SLN, and manifest files. Build, manage, and maintain CI/CD pipelines for database deployments from inception to end of life, using Jenkins and GitHub Actions/Workflows. Coordinate database deployments so they roll out alongside production application code changes. Apply GitOps principles to database change management, including branching strategy, pull request workflows, and version-controlled deployment of schema and code changes. Use Redgate SQL Compare to identify and validate schema changes as part of the deployment and PR review process. Develop and optimize SQL and T-SQL scripts, stored procedures, functions, and other database objects. Act as the primary database support resource for lower/lab environments, troubleshooting deployment-related issues as well as general database issues. Configure, maintain, and troubleshoot SQL Server Replication environments, including Transactional Replication (mandatory) and Merge Replication (mandatory). Support and troubleshoot AlwaysOn Availability Groups and other high-availability solutions. Perform database backup, restore, disaster recovery, and routine maintenance activities. Perform root cause analysis and resolve database performance bottlenecks. Monitor database environments using tools such as SolarWinds DPA or equivalent monitoring platforms. Provision, configure, maintain, and support AWS RDS for MySQL and Amazon Aurora (MySQL-compatible) database environments. Troubleshoot and maintain SQL Server Integration Services (SSIS) packages and ETL workflows. Partner with R&D architects and developers to define database deployment standards and best practices across SQL Server and Amazon Aurora RDS. Develop automation scripts and operational tooling, primarily using Python (PowerShell as needed). Participate in Agile ceremonies including daily stand-ups, sprint planning, and technical discussions. Contribute to continuous improvement of the database deployment pipeline and operational practices. Have you got what it takes? Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. 8+ years of professional experience in database engineering or administration, with strong exposure to DevOps/CI-CD practices. Advanced knowledge of SQL and T-SQL programming. Solid understanding of DevOps and GitOps principles as applied to database change management. Experience performing code reviews and approving pull requests for database changes. Hands-on experience deploying database changes, including DDL, stored procedures, and functions. Experience with CLR/Assembly deployment is a plus. Fundamental understanding of DACPAC, SLN, and manifest files, and how they're used to package database changes into a deployable artifact for release alongside application code. Hands-on experience with CI/CD tools, specifically Jenkins and GitHub Actions/Workflows, and comfort building and managing pipelines from inception through end of life. Solid experience with Git-based source control workflows, including branching, merging, pull requests, and code review. Experience with Redgate SQL Compare or similar schema comparison tooling; familiarity with Flyway, Liquibase, or similar database deployment/migration tools is a plus. Strong experience with SQL Server Replication: Transactional Replication (mandatory) Merge Replication (mandatory) Hands-on expertise in high availability, including AlwaysOn Availability Groups troubleshooting. Experience with database backup, restore, disaster recovery, and root cause analysis. Hands-on experience with AWS RDS and Aurora MySQL (mandatory). Experience supporting and troubleshooting SSIS packages and ETL processes. Strong experience with scripting and automation using Python (PowerShell a plus). Familiarity with monitoring tools such as SolarWinds DPA or similar platforms. Good understanding of cloud platforms such as Amazon Web Services and/or Microsoft Azure is an advantage. Experience with Infrastructure as Code and provisioning tools such as AWS CloudFormation and Spacelift is an advantage. Strong troubleshooting, analytical, and communication skills. Experience working in Agile environments and collaborating with cross-functional teams. What’s in it for you? You'll work alongside engineers and architects who own database deployment tooling end to end, with room to shape how database changes ship into production. This role offers opportunities to: Build and own database CI/CD pipelines, applying DevOps/GitOps practices to how database changes ship. Work across SQL Server, AWS RDS, and Amazon Aurora. Collaborate with global teams and R&D stakeholders on deployment tooling and day-to-day database support. Build expertise in CI/CD, release engineering, replication, and high-availability architectures. Grow into Senior, Lead, and Principal-level roles as you build your track record here. Enjoy FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work each week. Office days are focused on face-to-face collaboration, technical discussions, teamwork, and innovation, creating a vibrant and interactive environment where new ideas and problem-solving thrive. This flexible work model helps teams stay connected while also supporting work-life balance and productivity. Requisition ID: 11244 Reporting into: Technical Manager. Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 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 NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 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 NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 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 NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 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 NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? As a Senior DevOps Engineer, you will manage and enhance the cloud infrastructure and software delivery ecosystem powering our products. You will work with R&D, QA, Security, and Operations teams to ensure our platforms are scalable, secure, reliable, and cost-efficient. You will focus on AWS, CI/CD, infrastructure automation, containers, monitoring, and continuous improvement. How will you make an impact? Build and maintain CI/CD pipelines using Jenkins and GitHub Actions. Manage and optimize AWS infrastructure for scalability, security, reliability, and cost. Automate infrastructure and deployments using Terraform, Docker, ECS/EKS, and scripting. Monitor and troubleshoot environments to ensure availability and performance. Drive cloud security, Infrastructure as Code, and DevOps best practices. Collaborate with R&D, QA, Security, and Operations teams. Leverage AI tools and automation to improve troubleshooting, RCA, and operational efficiency. Have you got what it takes? 5–7 years of experience in DevOps, Cloud Engineering, or a similar role. Strong hands-on experience with AWS, including EC2, ECS/EKS, VPC, ALB, Lambda, CloudFront, and CloudWatch. Strong knowledge of Terraform, Docker, Jenkins, and GitHub Actions. Proficiency in Shell/PowerShell and at least one programming language such as Python, Groovy, Java, JavaScript, or Go. Experience with monitoring, troubleshooting, cloud security, and Git-based workflows. Strong problem-solving skills and experience working in Agile environments. You will have an advantage if you also have: Experience with AWS RDS and database infrastructure. Knowledge of FinOps and cloud cost optimization. Software development experience. Experience with multi-region or multi-tenant SaaS environments. Experience using AI tools/agents such as GitHub Copilot, ChatGPT, Claude Code, or Cursor for automation and RCA. What’s in it for you? Join an ever-growing, market-disrupting, global company where teams work in a fast-paced, collaborative, and creative environment. At NiCE, every day is an opportunity to learn, grow, and make an impact. If you are passionate about cloud, automation, reliability, and innovation, you may just be our next NiCEr! Enjoy NiCE-FLEX! Our NiCE-FLEX hybrid model offers 2 days from the office and 3 days remote each week, enabling flexibility while keeping collaboration and innovation at the heart of our work. Requisition ID: 11697 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? A Software Engineer in Python, Scala holds a prominent position in software development teams, responsible for designing, developing, and implementing complex data solutions that leverage both frontend and backend technologies. Here's an overview of the key responsibilities and qualifications for this role: How will you make an impact? Participate in our product development from ideation to deployment and beyond. Maintain quality, ensure responsiveness, and help optimize new and existing systems. Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants Collaborate with the rest of the engineering team to design and build new features on time and to budget. Maintain code integrity and organization. Understanding and implementation of security and data protection. Understanding of the Business Change cycle from inception to implementation, including the organization of Change initiative Ability to coordinate build and release activities with key stakeholders. Have you got what it takes? Bachelor’s degree in computer science, Business Information Systems or related field or equivalent work experience is required. 7+ year (Senior Software Engineer) experience in software development You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like Spark, Iceberg and Airflow Experience in Scala or Python Experience with AWS Technology including (EKS, EMR, S3, Kinesis, Lambda’s, Firehose, IAM, CloudWatch, etc) Excellent communication skills, problem-solving skills, decision-making skills Experience in Kafka, Kubernetes operators Experience in Databases like Snowflake Experience in CI/CD, git, github Actions Jenkins based pipeline deployments. Strong experience in SQL What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID:11716 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? The Director of Engineering – Performance Management at NiCE is responsible for leading and managing the engineering teams that design, build, and maintain the company’s PM product. This role ensures the delivery of high-quality, scalable, and reliable solution that support NICE’s customers How will you make an impact? Lead the PM engineering organization, ensuring alignment with company goals Oversee the design, development, testing, and deployment of PM micro services Manage resource planning, delivery milestones, and overall product quality Ensure system capacity planning and operational support for the PM Establish and enforce development standards, tools, and methodologies Integrate customer and business requirements into engineering efforts Stay current with AI and Agentic technologies such as reasoning models, LLM, SLM, AI SDLC, Agentic coding and agents orchestration Manage global distributed team across multiple sites Recruit, develop, and retain top engineering talent Have you got what it takes? Bachelor’s degree in Computer Science or related field (Master’s preferred) 12+ years of experience in software engineering, with a focus on SaaS products, machine learning, deep learning and LLM 6+ years of management experience in large-scale environments Proven expertise in data technologies and large-scale distributed systems Strong interpersonal and leadership skills Experience with Agentic driven development methodologies You will have an advantage if you also have: Building horizontally scalable solutions using containers, microservices, and big data technologies Experience with cloud platforms (AWS, Azure) and open-source data tools Track record of delivering high-quality software products on time What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 11694 Reporting into: Vice President, Engineering, CX Role Type: People Manager About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.