So, what’s the role all about?

Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 

How will you make an impact?  

Release & deployment operations 

• Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
• Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
• Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
• Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

• Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
• Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
• Keep runbooks current and contribute to post-incident reviews 
• Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

• Identify and prototype improvements to DataOps processes through scripting and automation 
• Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

• Snowflake
• AWS (S3, IAM, CloudWatch, Lambda)
• Jenkins  ·  GitHub Actions 
• MSK / Kafka 
• Apache Airflow 
• Python 
• ServiceNow 
• Jira

Have you got what it takes?

• 3+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
• Python scripting for operational automation 
• Experience working within a formal change management process: CRs, maintenance windows, approvals 
• Clear communicator when things break — you keep stakeholders informed without being asked 
• Comfortable working async across time zones in a distributed team 
• Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

• Apache Airflow — DAG monitoring and operational support 
• MSK / Kafka operational experience 
• Infrastructure as Code experience — Terraform or similar 
• Prometheus & Grafana for monitoring and dashboards 

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: 10730
Reporting into: Manager, Engineering, Data CX
Role Type: Individual Contributor

So, what’s the role all about?

Associate Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 

How will you make an impact?  

Release & deployment operations 

• Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
• Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
• Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
• Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

• Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
• Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
• Keep runbooks current and contribute to post-incident reviews 
• Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

• Identify and prototype improvements to DataOps processes through scripting and automation 
• Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

• Snowflake
• AWS (S3, IAM, CloudWatch, Lambda)
• Jenkins  ·  GitHub Actions 
• MSK / Kafka 
• Apache Airflow 
• Python 
• ServiceNow 
• Jira

Have you got what it takes?

• 2+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
• Python scripting for operational automation 
• Experience working within a formal change management process: CRs, maintenance windows, approvals 
• Clear communicator when things break — you keep stakeholders informed without being asked 
• Comfortable working async across time zones in a distributed team 
• Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

• Apache Airflow — DAG monitoring and operational support 
• MSK / Kafka operational experience 
• Infrastructure as Code experience — Terraform or similar 
• Prometheus & Grafana for monitoring and dashboards 

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: 10733
Reporting into: Manager
Role Type: Individual Contributor

So, what’s the role all about?

Associate Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 

How will you make an impact?  

Release & deployment operations 

• Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
• Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
• Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
• Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

• Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
• Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
• Keep runbooks current and contribute to post-incident reviews 
• Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

• Identify and prototype improvements to DataOps processes through scripting and automation 
• Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

• Snowflake
• AWS (S3, IAM, CloudWatch, Lambda)
• Jenkins  ·  GitHub Actions 
• MSK / Kafka 
• Apache Airflow 
• Python 
• ServiceNow 
• Jira

Have you got what it takes?

• 2+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
• Python scripting for operational automation 
• Experience working within a formal change management process: CRs, maintenance windows, approvals 
• Clear communicator when things break — you keep stakeholders informed without being asked 
• Comfortable working async across time zones in a distributed team 
• Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

• Apache Airflow — DAG monitoring and operational support 
• MSK / Kafka operational experience 
• Infrastructure as Code experience — Terraform or similar 
• Prometheus & Grafana for monitoring and dashboards 

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: 10732
Reporting into: Manager
Role Type: Individual Contributor

So, what’s the role all about?

This role is under the Build and Deploy team, and is responsible for the CI/CD pipelines, build systems, and release automation that enable engineering teams to deliver software reliably and efficiently. As part of our growing Philippines team, you will collaborate with engineers across the globe in a supportive, team-oriented environment.

How will you make an impact?  

Key Responsibilities
•    Design, implement, and optimize continuous integration and continuous deployment pipelines across multiple applications and environments
•    Lead efforts to build and mature software-defined infrastructure and infrastructure automation practices
•    Coordinate complex build and release activities across engineering, operations, QA, and other stakeholders
•    Define, implement, and improve automated quality gates, release controls, and deployment standards
•    Partner with engineering teams to establish code quality metrics, delivery measurements, and operational standards
•    Identify process gaps and drive improvements in build automation, deployment efficiency, scalability, and reliability
•    Research, evaluate, prototype, and recommend new tools and technologies to improve DevOps capabilities
•    Provide technical leadership and guidance on DevOps best practices, branching strategies, environment management, and release processes
•    Manage and support day-to-day operations of source control, pipeline, build, and deployment systems
•    Lead maintenance, upgrades, troubleshooting, and performance tuning of DevOps platforms and tooling
•    Support production and pre-production release activities, including occasional off-hours support for scheduled releases or critical incidents, coordinated in advance with the team.
•    Mentor other engineers and contribute to the growth of DevOps knowledge and maturity across the organization

Required Qualifications
•    4+ years of experience working with Git-based source control systems, preferably GitHub
•    3+ years of experience writing Python, Shell, or similar scripting languages
•    2+ years of experience with infrastructure-as-code tools such as AWS CloudFormation, Terraform, or comparable technologies
•    3+ years of experience working with Jenkins, GitHub Actions, or similar CI/CD platforms
•    2+ years of experience with DevOps pipeline tools such as GitHub Actions, Jenkins, Bamboo, CircleCI, Spinnaker, or similar platforms
•    Strong experience with build automation, code promotion techniques, branching strategies, and release orchestration
•    Experience building, deploying, and supporting Docker containers and Docker-based microservices
•    Strong understanding of CI/CD design patterns, pipeline governance, and deployment best practices
•    Experience working with Windows Server environments, including IIS and .NET deployment patterns
•    Strong understanding of cloud infrastructure and automation frameworks
•    Strong English communication skills for daily collaboration with engineering teams across global time zones, including the US, India, UK, and Australia

Preferred Qualifications
•    Experience in contact center, BPO, telecom, SaaS, or other high-availability production environments.
•    Experience supporting enterprise-scale engineering or R&D organizations.
•    Experience with cloud infrastructure, automation, and platform reliability practices.
•    Familiarity with container orchestration concepts such as Kubernetes.
•    Familiarity with Grafana-based monitoring, observability, and log management tools.
•    Familiarity with security scanning and shift-left security practices in CI/CD pipelines.
•    Experience mentoring engineers or leading technical initiatives across teams.
•    Experience with Ansible or similar configuration management tools.
•    Experience with Linux environments; the team is actively migrating from Windows to Linux as applications transition to .NET Core.

Core Competencies
•    Excellent troubleshooting, problem-solving, and debugging skills.
•    Ability to design and build environments, systems, and solutions from the ground up.
•    Strong ownership mindset and ability to lead initiatives in close collaboration with the team.
•    Quick learner with the ability to adapt to evolving technologies and priorities.
•    Service-oriented approach with a strong focus on enabling engineering teams.
•    Strong collaboration skills and team-first attitude.
•    Ability to manage multiple priorities and deliver high-quality work on schedule.
•    Strong judgment and decision-making in high-pressure or time-sensitive situations.
•    Willingness to share knowledge and support the development of junior team members.

Automation & AI Mindset
The Build and Deploy team operates with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy.
AI in DevOps is a rapidly evolving field. Prior AI experience is not required — what we value is a strong desire to learn, experiment, and apply AI to make our processes better.
•    Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows.
•    Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation.
•    Openness to learning how AI can improve build, deployment, and operational processes.
•    Ability to quickly adopt new AI tools and incorporate them into daily work.
•    Ability to evaluate AI tools and assess their practical value for CI/CD and infrastructure automation.
•    Expected to prototype and integrate AI-driven solutions into existing pipelines and workflows.
•    Contribute ideas and feedback to the team's AI adoption strategy.
•    Stay current with emerging AI tooling relevant to DevOps and share findings with the team.
•    Able to evaluate an AI tool's fit for a specific CI/CD challenge and articulate trade-offs.

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: 10629
Reporting into: Manager, Engineering, CX
Role Type: Individual Contributor 

Values

Here are our Company Values and we’d love to have individuals who can be a culture add to our team!

What We Offer

• Permanently Remote
• Pay wired directly to your bank account
• $50 Monthly Stipend
• Annual Bonus
• Flexible PTO
• Enjoy company time off during some of the major US Holidays
• Career fast track for performers and internal mobility
• Learn from a team of Stanford, MIT, Google and Harvard alumni

• Architect and build robust API integrations between our platform and client HR, payroll, and POS systems
• Develop and maintain reusable integration frameworks and shared libraries that accelerate delivery across the team
• Own the full software lifecycle — from design and development through testing, deployment, and production support
• Build data migration pipelines and CSV transformation solutions for enterprise onboarding
• Develop two-way payroll integrations with complex business logic and error handling
• Build and deploy custom internal tools that improve team efficiency, integration observability, and customer operations
• Own infrastructure-as-code and deployment pipelines using Terraform, GitHub Actions, and related CI/CD tooling — you ship to production, not just to staging
• Apply AI-native development practices: using LLMs and AI tooling to accelerate development cycles, generate smarter automation, and build more intelligent solutions for clients and internal teams

• Review code and provide technical guidance to junior and mid-level engineers on the PS team
• Establish and document engineering best practices, integration patterns, and internal tooling standards
• Champion AI best practices across the team — helping others understand when and how to use AI tooling effectively and responsibly
• Collaborate with Product and Engineering to surface recurring customer pain points and influence the platform roadmap

• Lead technical discovery sessions with enterprise clients to define integration scope and requirements
• Translate complex business and compliance requirements into clear technical specifications
• Serve as the senior technical voice in client conversations — able to communicate architecture decisions confidently to both technical and non-technical audiences

• Build custom reporting tools, enterprise-grade career site implementations, and AI-assisted automation for customers
• Develop internal tooling and dashboards to improve team efficiency, reduce manual work, and scale PS delivery

• Engineering Depth: You write clean, production-quality code and take ownership of what you ship. You think in systems, not just scripts.
• AI-Native: You don't just know AI exists — you actively use it. You're fluent with LLM APIs, prompt engineering, and AI-assisted development workflows, and you have strong instincts around where AI adds genuine value vs. where it introduces risk
• Backend-First, Full Stack Capable: Strong proficiency in Python and TypeScript/JavaScript; comfortable owning backend services while being capable across the stack
• Integration Expertise: Hands-on experience with REST APIs, webhooks, OAuth, and workflow automation platforms (Workato or similar)
• DevOps Fluency: You're comfortable with Terraform, GitHub Actions, and CI/CD pipelines — shipping and maintaining production infrastructure is part of your normal workflow, not an afterthought
• Technical Leadership: You've mentored engineers, led code reviews, and contributed to engineering standards — not just executed tickets
• Problem Solving: You enjoy ambiguous problems and bring structured thinking to novel technical challenges
• Communication: You can hold your own in a technical architecture conversation and turn around and explain the same concept clearly to a non-technical customer

• 5+ years of software engineering experience, with meaningful full-stack or backend depth
• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
• Strong proficiency in Python and TypeScript or JavaScript
• Experience designing and consuming REST APIs at scale
• Proficiency with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions or equivalent)
• Demonstrated AI-native development practices — active use of LLM APIs, AI tooling, or AI-assisted workflows in prior roles
• Familiarity with version control and collaborative development workflows (GitHub)
• Experience with workflow automation platforms (Workato, Zapier, or similar)
• Must be willing to work during US business hours

• Prior experience in SaaS implementation, professional services, or a customer-facing engineering role
• Exposure to HRIS, payroll, or POS system integrations
• Experience building and maintaining shared internal developer tooling or libraries
• Familiarity with MCP (Model Context Protocol) or agentic AI frameworks

So, what’s the role all about?

This role is under the Build and Deploy team, and is responsible for the CI/CD pipelines, build systems, and release automation that enable engineering teams to deliver software reliably and efficiently. As part of our growing Philippines team, you will collaborate with engineers across the globe in a supportive, team-oriented environment.

How will you make an impact?  
Key Responsibilities
•    Lead the strategy, design, and continuous improvement of CI/CD pipelines across multiple products, teams, and environments.
•    Drive the adoption of software-defined infrastructure, infrastructure automation, and DevOps best practices across the organization.
•    Provide technical leadership for complex build, release, and deployment processes involving multiple stakeholders and dependent systems.
•    Establish and govern automated quality gates, release standards, deployment controls, and pipeline compliance practices.
•    Partner with engineering, QA, operations, security, and architecture teams to improve software delivery speed, quality, and reliability.
•    Define and promote standards for branching strategies, code promotion models, environment management, and release orchestration.
•    Identify opportunities to improve scalability, resilience, operational efficiency, and developer experience through automation and process improvement.
•    Evaluate, prototype, and recommend new technologies, tools, and frameworks to strengthen DevOps maturity.
•    Oversee daily operation, health, maintenance, and upgrade planning for source control, build, pipeline, and deployment platforms.
•    Lead root cause analysis and resolution efforts for complex pipeline, deployment, and tooling issues.
•    Support critical release activities, including occasional off-hours support for scheduled releases or critical incidents, coordinated in advance with the team.
•    Mentor engineers, provide technical direction, and serve as a subject matter expert for DevOps and release engineering practices.
•    Influence cross-team planning and help align DevOps initiatives with broader engineering and business goals.

Required Qualifications
•    5+ years of experience working with Git-based source control systems, preferably GitHub.
•    4+ years of experience writing Python, Shell, or similar scripting languages.
•    2+ years of experience with infrastructure-as-code tools such as AWS CloudFormation, Terraform, or comparable technologies.
•    4+ years of experience working with Jenkins, GitHub Actions, or similar CI/CD platforms.
•    3+ years of experience with DevOps pipeline tools such as GitHub Actions, Jenkins, Bamboo, CircleCI, Spinnaker, or similar platforms.
•    Strong experience designing and managing enterprise-scale CI/CD pipelines and release processes.
•    Strong knowledge of build automation, branching strategies, code promotion techniques, and deployment governance.
•    Experience building, deploying, and supporting Docker containers and Docker-based microservices.
•    Strong understanding of cloud infrastructure, automation frameworks, and modern DevOps operating models.
•    Experience working with Windows Server environments, including IIS and .NET deployment patterns.
•    Strong English communication skills for daily collaboration with engineering teams across global time zones, including the US, India, UK, and Australia.

Preferred Qualifications
•    Experience in contact center, BPO, telecom, SaaS, or other high-availability enterprise production environments.
•    Experience leading DevOps transformation or platform modernization initiatives.
•    Experience supporting large-scale engineering or R&D organizations.
•    Familiarity with container orchestration concepts such as Kubernetes.
•    Familiarity with Grafana-based monitoring, observability, platform reliability, and security practices within CI/CD ecosystems.
•    Familiarity with security scanning and shift-left security practices in CI/CD pipelines.
•    Experience mentoring engineers and leading cross-functional technical initiatives.
•    Experience establishing standards, governance models, and operating practices across multiple teams.
•    Experience with Ansible or similar configuration management tools.
•    Experience with Linux environments; the team is actively migrating from Windows to Linux as applications transition to .NET Core.

Core Competencies
•    Excellent troubleshooting, problem-solving, and debugging skills.
•    Strong leadership and ownership mindset.
•    Ability to design and build systems, environments, and solutions from the ground up.
•    Strong collaboration skills and the ability to influence without direct authority.
•    Service-oriented mindset with a focus on enabling engineering teams.
•    Ability to balance strategic improvements with day-to-day operational demands.
•    Strong organizational skills with the ability to manage multiple priorities and drive work to completion.
•    Sound technical judgment in high-pressure and time-sensitive situations.
•    Commitment to mentoring team members and fostering a culture of continuous learning.

Automation & AI Mindset
The Build and Deploy team operates with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy.
AI in DevOps is a rapidly evolving field. Prior AI experience is not required — what we value is a strong desire to learn, experiment, and apply AI to make our processes better.
•    Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows.
•    Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation.
•    Openness to learning how AI can improve build, deployment, and operational processes.
•    Ability to quickly adopt new AI tools and incorporate them into daily work.
•    Ability to evaluate AI tools and assess their practical value for CI/CD and infrastructure automation.
•    Drive AI adoption across the Build and Deploy team by identifying high-impact opportunities where AI can improve efficiency, reliability, or developer experience.
•    Guide the team on AI tool selection, evaluation criteria, and integration patterns.
•    Champion an AI-first mindset in pipeline design, process improvement, and operational practices.
•    Help establish team standards and best practices for responsible, effective use of AI in DevOps workflows.
•    Able to present a vision for how AI can be strategically applied across DevOps practices within a team.

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:10630
Reporting into: Manager, Engineering, CX
Role Type: Individual Contributor 

So, what’s the role all about?

This role is under the Build and Deploy team, and is responsible for the CI/CD pipelines, build systems, and release automation that enable engineering teams to deliver software reliably and efficiently. As part of our growing Philippines team, you will collaborate with engineers across the globe in a supportive, team-oriented environment.

How will you make an impact?  

Key Responsibilities
•    Design, develop, and maintain continuous integration and continuous deployment pipelines.
•    Help build and support software-defined infrastructure solutions.
•    Coordinate build and release activities with internal stakeholders across engineering and related teams.
•    Develop and implement automated quality gates and release controls.
•    Partner with teams to define and improve code quality metrics and measurement practices.
•    Research, evaluate, and prototype technologies that improve DevOps processes and delivery efficiency.
•    Promote DevOps best practices through collaboration with engineering, operations, and other technical teams.
•    Manage day-to-day operations of build systems, deployment pipelines, and source control platforms.
•    Perform ongoing maintenance, support, and upgrades for DevOps tools and systems.
•    Provide occasional off-hours support for scheduled releases or critical incidents, coordinated in advance with the team.

Required Qualifications
•    2+ years of experience working with Git-based source control systems, preferably GitHub.
•    1+ year of experience writing Python, Shell, or similar scripting languages.
•    1+ year of experience with infrastructure-as-code tools such as AWS CloudFormation, Terraform, or comparable technologies.
•    1+ year of experience working with Jenkins, GitHub Actions, or similar CI/CD platforms.
•    1+ year of experience with DevOps pipeline tools such as GitHub Actions, Jenkins, Bamboo, CircleCI, Spinnaker, or similar platforms.
•    Strong understanding of code promotion methods, build automation, and branching strategies.
•    Experience building Docker containers and supporting Docker-based microservices.
•    Experience working with Windows Server environments, including IIS and .NET deployment patterns.
•    Strong English communication skills for daily collaboration with engineering teams across global time zones, including the US, India, UK, and Australia.

Preferred Qualifications
•    Experience in contact center, BPO, telecom, SaaS, or other high-availability production environments.
•    Experience supporting large-scale R&D or engineering organizations.
•    Familiarity with modern infrastructure automation and release governance practices.
•    Familiarity with container orchestration concepts such as Kubernetes.
•    Familiarity with Grafana-based monitoring and log management tools.
•    Familiarity with security scanning and shift-left security practices in CI/CD pipelines.
•    Experience with Ansible or similar configuration management tools.
•    Experience with Linux environments; the team is actively migrating from Windows to Linux as applications transition to .NET Core.

Core Competencies
•    Strong troubleshooting, problem-solving, and debugging skills.
•    Ability to build environments, systems, and technical solutions from the ground up.
•    Quick learner with strong adaptability in changing environments.
•    Service-oriented mindset with a focus on supporting internal engineering customers.
•    Strong collaboration skills and team-oriented approach.
•    Ability to manage multiple priorities and deliver work on schedule.
•    Eagerness to learn from experienced team members and grow technical skills.

Automation & AI Mindset
The Build and Deploy team operates with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy.
AI in DevOps is a rapidly evolving field. Prior AI experience is not required — what we value is a strong desire to learn, experiment, and apply AI to make our processes better.
•    Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows.
•    Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation.
•    Openness to learning how AI can improve build, deployment, and operational processes.
•    Ability to quickly adopt new AI tools and incorporate them into daily work.
•    Able to describe how AI tools could be used to improve a build or deployment task.

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:10628
Reporting into: Manager, Engineering, CX
Role Type: Individual Contributor 

So, what’s the role all about?

This role is under the Build and Deploy team, and is responsible for the CI/CD pipelines, build systems, and release automation that enable engineering teams to deliver software reliably and efficiently. As part of our growing Philippines team, you will collaborate with engineers across the globe in a supportive, team-oriented environment.

How will you make an impact?  

Key Responsibilities
•    Design, develop, and maintain continuous integration and continuous deployment pipelines.
•    Help build and support software-defined infrastructure solutions.
•    Coordinate build and release activities with internal stakeholders across engineering and related teams.
•    Develop and implement automated quality gates and release controls.
•    Partner with teams to define and improve code quality metrics and measurement practices.
•    Research, evaluate, and prototype technologies that improve DevOps processes and delivery efficiency.
•    Promote DevOps best practices through collaboration with engineering, operations, and other technical teams.
•    Manage day-to-day operations of build systems, deployment pipelines, and source control platforms.
•    Perform ongoing maintenance, support, and upgrades for DevOps tools and systems.
•    Provide occasional off-hours support for scheduled releases or critical incidents, coordinated in advance with the team.

Required Qualifications
•    2+ years of experience working with Git-based source control systems, preferably GitHub.
•    1+ year of experience writing Python, Shell, or similar scripting languages.
•    1+ year of experience with infrastructure-as-code tools such as AWS CloudFormation, Terraform, or comparable technologies.
•    1+ year of experience working with Jenkins, GitHub Actions, or similar CI/CD platforms.
•    1+ year of experience with DevOps pipeline tools such as GitHub Actions, Jenkins, Bamboo, CircleCI, Spinnaker, or similar platforms.
•    Strong understanding of code promotion methods, build automation, and branching strategies.
•    Experience building Docker containers and supporting Docker-based microservices.
•    Experience working with Windows Server environments, including IIS and .NET deployment patterns.
•    Strong English communication skills for daily collaboration with engineering teams across global time zones, including the US, India, UK, and Australia.

Preferred Qualifications
•    Experience in contact center, BPO, telecom, SaaS, or other high-availability production environments.
•    Experience supporting large-scale R&D or engineering organizations.
•    Familiarity with modern infrastructure automation and release governance practices.
•    Familiarity with container orchestration concepts such as Kubernetes.
•    Familiarity with Grafana-based monitoring and log management tools.
•    Familiarity with security scanning and shift-left security practices in CI/CD pipelines.
•    Experience with Ansible or similar configuration management tools.
•    Experience with Linux environments; the team is actively migrating from Windows to Linux as applications transition to .NET Core.

Core Competencies
•    Strong troubleshooting, problem-solving, and debugging skills.
•    Ability to build environments, systems, and technical solutions from the ground up.
•    Quick learner with strong adaptability in changing environments.
•    Service-oriented mindset with a focus on supporting internal engineering customers.
•    Strong collaboration skills and team-oriented approach.
•    Ability to manage multiple priorities and deliver work on schedule.
•    Eagerness to learn from experienced team members and grow technical skills.

Automation & AI Mindset
The Build and Deploy team operates with a core belief: if a process is manual and repeatable, it should be automated. We actively seek out toil, eliminate it, and continuously improve the reliability, security, and speed of our pipelines and production systems. AI is the latest and most powerful enabler of this philosophy.
AI in DevOps is a rapidly evolving field. Prior AI experience is not required — what we value is a strong desire to learn, experiment, and apply AI to make our processes better.
•    Genuine curiosity and enthusiasm for applying AI tools and techniques to DevOps workflows.
•    Willingness to explore AI-assisted development tools such as code assistants, automated testing aids, and prompt-based automation.
•    Openness to learning how AI can improve build, deployment, and operational processes.
•    Ability to quickly adopt new AI tools and incorporate them into daily work.
•    Able to describe how AI tools could be used to improve a build or deployment task.

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:10627
Reporting into: Manager, Engineering, CX
Role Type: Individual Contributor 

Job Title: Lead Quality Engineer – Automation 

About InfoTrust

InfoTrust is a global, privately-owned consulting and solutions agency dedicated to unlocking the power of data to drive marketing performance and business growth. We specialize in digital analytics, media enablement, and privacy-centric solutions that help the world’s largest brands optimize their marketing strategies. Our culture is built on passion, ownership, diversity, trust, respect, and continuous growth—values that have earned us multiple "best places to work" awards, including a Great Place to Work certification and recognition as the #1 place to work in Ohio. 

About the Role

InfoTrust is seeking a Lead Quality Engineer – Automation to build and scale our quality engineering function from the ground up. As our first QA/QE hire in India, you will define automation strategy, establish best practices, and implement scalable testing frameworks that ensure the reliability, performance, and integrity of our SaaS solutions.

This is a high-impact, highly autonomous role. You won’t just execute tests—you will shape how quality is built into our engineering culture.

If you thrive in ownership, enjoy solving complex technical challenges, and want to build something foundational, this role is for you.

What You’ll Do

Build & Lead Automation Strategy

• Design, develop, and maintain scalable automation frameworks for functional, regression, API, and performance testing.
• Establish QA best practices, standards, and processes across teams.
• Drive automation-first quality strategy and continuously improve test coverage and reliability.

Engineering & Technical Execution

• Develop automated test suites using tools such as Selenium, PyTest, Cypress, Playwright, or similar.
• Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
• Perform API testing using tools such as Postman, REST Assured, or equivalent frameworks.
• Validate and query data across SQL and NoSQL databases to support test scenarios and troubleshooting.
• Partner with engineering teams to ensure quality across microservices and cloud-native architectures (AWS, Azure, or GCP).

Collaboration & Quality Advocacy

• Collaborate closely with Product, Engineering, and DevOps to embed quality throughout the SDLC.
• Advocate for testability, observability, and continuous improvement.
• Identify risks early and drive proactive solutions.

You could be a great fit if:

• You have 3+ years of experience in test automation for web, API, or cloud-based systems. 
• You have proficiency in one or more programming languages, such as Python, Java, or JavaScript. 
• You have experience with cloud platforms (AWS, Azure, or GCP). 
• You have a strong understanding of databases (PostgreSQL, MySQL, MongoDB, or similar) and the ability to write SQL. 
• You have hands-on experience with CI/CD tools and version control (Git). 
• You have a solid understanding of software testing principles, QA methodologies, and SDLC. 
• You possess strong analytical and problem-solving skills. 
• You have excellent communication and teamwork abilities. 
• You have strong attention to detail with a passion for continuous improvement. 

Bonus:

• You have a Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with containerization and orchestration (Docker, Kubernetes). 
• Familiarity with infrastructure as code and test environments in the cloud. 
• Exposure to performance testing tools (e.g., JMeter, Locust). 
• Knowledge of observability and monitoring tools (e.g., Datadog, Prometheus). 

You shouldn’t apply if:

• You prefer structured environments with predefined test plans rather than building strategy and frameworks independently.

• You are primarily focused on manual testing.

• You are uncomfortable working in a growing organization where processes are still evolving.

Why work here?

At InfoTrust, employees are deeply connected to our core values and have the opportunity to make a meaningful impact and be their best selves everyday.  Our Core Values include:

• Earn Trust: Deliver on what you promise. 
• Be Respectful: Don't be an a**hole.
• Promote Diversity: Seek understanding and be inclusive. 
• Take Ownership: There is no "they.” Take initiative.
• Grow Every Day: Learn and apply. 
• Contribute With Passion: Desire to do good. Give to grow. 

At InfoTrust, we believe our success is someone else’s miracle. Giving back to the communities in which our team members live and work is a key part of who we are;  we made this “official” with the formation of the InfoTrust Foundation, a registered 501(c)(3) nonprofit organization. Learn more here. 

Diversity is one of our six core values at InfoTrust. InfoTrust is committed to a diverse workforce and we are an equal opportunity employer. We aim to hire strong, diverse teams built from different backgrounds, experiences, and identities. We are building an inclusive, supportive place for you to do the best work of your career. Job descriptions are not perfect, and we know you may not check every box. Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. Don’t let that be you—apply if you are interested!