Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

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.

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 As a Senior Software Architect, you will play a critical role in building and evolving Verse's client-facing products and internal platforms that power a premium customer experience. You will help shape the technical direction of the product by designing scalable, API-first systems, shipping high-quality production code, and contributing to our conversational AI platform. As a Sr Software Architect, a typical day might include the following: Set the end-to-end technical direction for the team, including platform, technology, tools, and infrastructure Partner closely with Product, Design, and Engineering to shape product strategy, scope, and technical execution Design and build API-first, cloud-native services that integrate with web clients, internal tools, and external partners Own projects end-to-end: architecture, implementation, testing, deployment, monitoring, and iteration Develop and maintain scalable, distributed systems with a focus on performance, reliability, and security Contribute to the evolution of our conversational AI platform, including messaging pipelines, integrations, and data flows Write clean, testable, well-documented code while raising engineering standards through reviews and technical leadership Continuously improve development workflows, CI/CD pipelines, and operational excellence Identify and resolve performance bottlenecks across application, database, and infrastructure layers Identify ways to accelerate overall R&D throughput and quality using leading architectures and standards Communicate architecture in an effective and professional manner Drive technical decisions, solve tough problems, and coordinate multiple project execution Foster a strong teamwork environment and create passion and energy within the team. Represents self and department with professionalism and competence. To Land This Gig You'll Need: BS in Computer Science or equivalent work experience is required 15+ years of software development experience 5+ years of software development experience on large scale and high-volume enterprise products Strong understanding of developing in C# Experience architecting systems for performance and scalability Expertise in designing applications using relational and/or non-relational databases Working Knowledge of ci/cd Experience developing RESTful web services Excellent problem-solving abilities. Excellent decision-making skills. Working Knowledge of design patterns. Working Knowledge of Agile development processes Strong communication skills Strong quality orientation Must possess strong organizational and time management skills. Bonus Experience: MS in Computer Science 2+ years of software architecture experience 7+ years of technical leadership experience. Proficiency in Angular Experience building and operating systems on Azure, including services such as: App Services, Azure Functions, Azure SQL Server, CosmosDB, Service Bus, SignalR, Storage Accounts, Logic Apps, Application Insights Practical understanding of machine learning concepts and how they apply to real-world products Experience integrating AI-powered features or working with data-driven systems is a strong plus 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? We are looking for a Senior software engineer who is passionate about solving infrastructure challenges through software engineering and automation. In this role, you will design, develop, and maintain scalable automation frameworks that streamline cloud infrastructure provisioning, configuration management, and operational processes. You will build programmatic infrastructure solutions using Python , Jinja2 , and Terraform , generating and managing Infrastructure as Code (IaC) at scale. You will also leverage Puppet for configuration management and develop PowerShell-based automation to support and optimize Windows environments. This is a highly technical, coding-focused position. The ideal candidate is a software-minded engineer who writes clean, maintainable, and testable code every day—not just ad hoc scripts. You should be comfortable designing reusable automation components, applying software development best practices, and driving operational excellence through automation across complex cloud and hybrid environments. How Will You Make an Impact? Drive infrastructure standardization and operational excellence by designing and developing scalable automation frameworks in Python that enable consistent and repeatable deployments across cloud and on-premises environments. Accelerate infrastructure provisioning by building and enhancing Terraform code-generation platforms using Python and Jinja2, enabling teams to produce validated, environment-specific infrastructure code from reusable templates. Improve system reliability and compliance by developing and maintaining Puppet modules, manifests, and Hiera configurations that manage Linux and Windows environments at scale. Increase operational efficiency across Windows platforms by creating robust PowerShell automation solutions for server management, Active Directory administration, and hybrid cloud integrations. Simplify complex infrastructure workflows by developing internal automation tools, command-line utilities, and APIs that empower engineering teams to self-service common operational tasks. Enhance the speed and safety of infrastructure delivery by integrating automation frameworks with CI/CD pipelines, enabling automated validation, testing, and deployment of infrastructure changes. Improve software quality and reduce deployment risk by implementing comprehensive testing strategies for infrastructure code, including unit testing, linting, and integration testing. Partner closely with cloud, platform, and application teams to identify manual processes, eliminate operational toil, and drive automation-first solutions across the organization. Enable long-term scalability and maintainability by creating clear documentation, standards, and runbooks for automation frameworks and infrastructure templates. Contribute to a strong engineering culture by participating in code reviews, sharing best practices, and continuously improving the quality, security, and maintainability of automation solutions. Have you got what it takes? Python & Automation Development 5+ years of Python development experience — not scripting, but structured, testable application code Strong understanding of Python packaging, virtual environments, dependency management (pip, Poetry), and code quality tooling (pylint, black, mypy) Experience building CLI tools and automation frameworks using Python (Click, Typer, or similar) Hands-on experience with Jinja2 templating — building reusable, parameterised templates for configuration and infrastructure code generation Experience with pytest for unit and integration testing of automation code Terraform & IaC Code Generation Strong Terraform proficiency: module design, state management, remote backends, workspaces, and dependency graphs Proven experience generating Terraform HCL programmatically using Python and Jinja2 — building template-driven pipelines that produce valid, linted, plan-ready infrastructure code Familiarity with Terraform tooling: tflint, tfsec, terraform-docs, Terragrunt, or Atlantis Understanding of Terraform provider internals and resource lifecycle management Puppet & Configuration Management Hands-on Puppet experience: writing manifests and modules, Hiera data hierarchies, node classification, and r10k / Code Manager workflows Experience managing mixed Linux and Windows environments with Puppet at scale Familiarity with puppet-lint, rspec-puppet, and automated Puppet module testing pipelines Understanding of Puppet Enterprise or open-source Puppet Server administration PowerShell Scripting Proficient PowerShell scripting for Windows Server administration, task automation, and hybrid cloud integrations (AWS Tools for PowerShell, Azure PowerShell) Experience writing reusable PowerShell modules, functions, and error-handling patterns Familiarity with Pester for PowerShell unit testing Experience automating Active Directory, Group Policy, or Windows networking tasks via PowerShell Cloud & Infrastructure Solid AWS experience: EC2, EKS/ECS, Lambda, S3, RDS, VPC, IAM, and CloudWatch — understanding of services as automation targets Familiarity with CI/CD platforms and integrating infrastructure code pipelines (GitHub Actions, Jenkins, GitLab CI) Comfortable working with Linux and Windows Server in production environments 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: 11294 Reporting into: Director, Cloud Operations CXone, EMEA 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.