A 3Cloud Senior Quality Engineer is responsible for performing and/or leading testing activities for assigned clients. This includes standards testing tasks, maintaining traceability, defect management, test plan development and reporting. This senior quality engineer role is technical and client facing role. The ideal candidate will have experience in client-facing roles and have success supporting technical discussions with clients. Successful candidates will be able to demonstrate proficiency with the design, implementation, support of technical QE solutions. This position may lead small projects or works with QE Lead/Architect to ensure set QE guidelines and standards are followed by the project team and client expectations are met.

Job Highlights:

• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
• Great working environment and company culture with flexible work location.

Key Responsibilities:

• Apply knowledge of Quality Engineering and testing areas (Automation, Performance, Data quality, AI, While box, Blackbox) to define and advise in test planning
• Drive high‑quality delivery by performing both manual and automated testing, ensuring full coverage across functional, system, data, and AI components.
• Assist or Lead the design and implementation of comprehensive test strategies, quality processes, and documentation for assigned project.
• Maintain accurate record results, test cases, and share feedback to the project team
• Ensure all QE deliverables meet quality standards, aligning with project objectives and organizational best practices.
• Actively assist or lead defect triage process
• Develop and validate test data, data pipelines, and infrastructure from both functional and system perspectives.
• Evaluate and test machine learning models, including LLM behavior, prompt robustness, model outputs, and performance metrics.
• Mentor junior team members, promote QE best practices, and contribute to continuous improvement initiatives across the Quality engineering practice.

Qualifications:

• Bachelor’s degree in computer science, or a closely related discipline.
• Solid experience in QA methodologies, test planning, automation, and quality engineering practices.
• Strong proficiency in automation tools such as Selenium, Playwright, or equivalent frameworks.
• Solid programming skills in Python, C#, Java, or similar languages.
• Hands‑on experience testing data pipelines, ETL workflows, and analytics platforms (Databricks, Fabric preferred).
• Understanding of machine learning principles, model evaluation metrics and AI system behavior
• Ability to test LLM behavior, prompts, and AI model outputs.
• Ability to execute comprehensive test plans for AI models and systems.
• Excellent analytical, problem‑solving, communication, and presentation skills.
• Demonstrated ability to work cross‑functionally and influence engineering teams.
• Passion for innovation, continuous learning, and staying current with emerging QE and AI technologies.
• Relevant certifications (Azure, Microsoft, Agile, etc.) are a plus.
• Experience on Load and Performance Testing
• Experience API Automation, C#
• Experience with cloud platforms, especially Azure, is preferred.

Note:

• This role will be temporarily working onsite in our Makati Office.
• Priority will be on ASAP joiners

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 

About Bold Business

Bold Business is an AI-first U.S.-based company building automation systems, AI agents, and production software for clients like AT&T, JP Morgan, and Verizon. We ship real systems that deliver impact — not experiments.

The Role

We’re hiring a Senior Python Engineer who can own both backend systems and the data layer behind them. This role sits between backend and data — you will build APIs, design pipelines, and ensure the data powering AI systems is clean and reliable.

You’ll work under a Lead Architect. You are expected to execute independently and own outcomes.

What You’ll Do

• Build and maintain production Python APIs (FastAPI or similar)
• Design and run data pipelines (ETL, ingestion, transformation)
• Own data quality — validation, monitoring, failure handling
• Structure data for RAG systems and AI agents
• Design and manage databases (PostgreSQL + vector DBs)
• Integrate external systems (APIs, webhooks, third-party tools)
• Debug across backend, data pipelines, and AI outputs

Non-Negotiables (Knockout Requirements)

You should not apply if you cannot clearly demonstrate all of the following:

1. Strong English communication (written and spoken)
   You can clearly explain technical concepts to non-technical stakeholders and operate in a U.S.-based team environment.
2. You have built and maintained production Python APIs
   (not tutorials or small scripts — real systems in use)
3. You have owned data pipelines end-to-end
   (ingestion → transformation → reliability in production)
4. You are strong in SQL and database design
   (schemas, performance, tradeoffs — not just basic queries)
5. You have worked with real, messy data
   (multiple sources, failures, edge cases — not clean datasets)

Required Skills

• Python (4–6 years, production backend + data work)
• FastAPI or similar frameworks
• Strong SQL and database design
• API integrations (REST, webhooks)
• Testing and clean Git workflows

AI / Data Context (Expected Working Level)

• LLM API integration (OpenAI, Anthropic, etc.)
• Understanding of how RAG systems use data
• Prompt structure and output handling
• Exposure to vector databases (pgvector, Pinecone, etc.)

Nice to Have

• LangChain, LangGraph, CrewAI
• Airflow, Prefect, or pipeline orchestration
• AWS / GCP experience
• Docker / CI-CD
• Basic BI / analytics tools

What This Role Is

• A hands-on builder role
• Ownership of backend + data layer
• High accountability, low hand-holding

What This Role Is Not

• Not a pure Data Engineer
• Not an ML research role
• Not a junior position

Final Note

• We will go deep into your past work.
• If you can clearly explain what you built, why you built it that way, and what broke — you’ll do well here.
• If not, this role will be a stretch.

Bold Business — AI-First. Delivery-First.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 6+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

About Us: 
Our Company is a young and innovative, truly global AI SaaS company founded in 2020 with development centers in the USA, the European Union, India, and the Philippines. Our platform is a modern, AI-powered CRM that brings together support, product, and development teams in one system. It helps SaaS companies manage customer issues, gather feedback, and improve their products—all while showing how these efforts affect revenue. As part of our rapid growth, we are expanding our technical team in the Philippines and are on the lookout for talented and innovative senior QA Engineers to join their mission-driven organization & help us deliver exceptional products. This is an exciting opportunity for professionals who are passionate about innovation and eager to work with cutting-edge technologies in a truly global environment

About the Role: 
As a Mid-Level Test Automation Specialist, you will work with a modern, AI-enabled test automation ecosystem to accelerate testing, improve coverage, and increase confidence in releases. You will help evolve test frameworks, build intelligent test reporting, and contribute to monitoring and alerting systems that strengthen the overall software delivery pipeline.

What You'll Do: 

Test Case Design & Documentation

• Define clear, concise, and maintainable test cases from requirements, specifications, and user stories.
• Use AI tools to assist with test case design and documentation, including generating test scenarios, expanding edge cases, and improving clarity and consistency.
• Ensure coverage across positive, negative, boundary, and edge-case scenarios.
• Leverage AI to identify gaps in coverage and suggest additional scenarios based on user journeys and system behavior.
• Maintain traceability between test cases, user journeys, and product features.

Test Suite Development & Maintenance

• Organize and maintain automated test suites to reflect product changes.
• Refactor outdated or redundant tests, ensuring accuracy and relevance.
• Maintain a clear structure for both manual and automated test suites.

AI-driven Test Automation

• Implement and utilize AI and intelligent agents to accelerate test generation.
• Transition from manual test development to AI-driven automation solutions.

Test Framework Governance

• Oversee maintenance and continuous improvement of existing frameworks.
• Analyze failures/escapes, identify root causes, and implement solutions.
• Drive a culture of quality through ongoing improvements in methodologies.

• Design and develop reports to provide visibility into test suite performance.
• Implement alerting systems for prompt failure notifications.

• Strong experience using Generative AI tools such as Claude, Gemini, or GitHub Copilot to: Generate test cases,Create automation code,Design test plans and workflows.
• Hands-on expertise with LLM prompt engineering, including: Writing effective prompts,Using context windows and system prompts,Iteratively refining prompts for better test coverage and quality. 
• Experience with test automation frameworks (Selenium, Cypress, Playwright), with an emphasis on using AI to accelerate and enhance automation rather than writing everything manually.
• Ability to design agent-based workflows, where AI is used to generate, validate, and evolve test scenarios.
• Strong knowledge of JavaScript. TypeScript and/or Python, with the ability to: Review and audit AI-generated code, Validate correctness, performance, and maintainability. 
• Solid understanding of testing fundamentals, with a mindset focused on: “How to automate testing at scale”. 
• Improving coverage, reliability, and speed using AI-driven approaches.

Nice-to-Have Skills

• Hands-on experience with PyTest, Ginkgo, or similar frameworks.
• Experience with AI Agents and tools for automation test generation.
• Knowledge of test framework design and development.
• Strong understanding of test reporting tools & technologies.

About the role:
As our Lead AI Test Automation Specialist, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy.

Key Responsibilities:

• • Design and implement comprehensive testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows
  • Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour
  • Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)
  • Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases
  • Implement monitoring and alerting systems to detect quality degradation in production GenAI features
  • Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems
  • Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases
  • Develop tools and frameworks that make it easy for engineers to test their GenAI implementations
  • Conduct user acceptance testing and gather feedback on AI feature performance from internal users
  • Document testing procedures, known issues, and quality metrics in clear, accessible formats
  • Partner with Product and Design teams to ensure AI features meet user experience standards
  • Stay current with GenAI testing methodologies, tools, and industry best practices
    
    
  Your Qualifications
  
  
  • PRE or test engineering experience, preferably with AI/ML systems.
  • Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
  • Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
  • Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)
  • Ability to design test cases and evaluation criteria for non-deterministic systems
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with API testing tools (Postman, REST Assured) and backend testing
  • Familiarity with CI/CD pipelines and automated testing integration
  • Excellent communication skills for documenting issues and collaboration
    
    
  Preferred Qualifications
  
  
  • Experience testing conversational AI, chatbots, or agentic systems
  • Knowledge of ML model evaluation metrics and techniques
  • Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)
  • Experience with performance testing and load testing AI APIs
  • Understanding of responsible AI principles, including fairness, transparency, and safety testing
  • Background in enterprise software or SaaS QA
  • Experience with test management tools (TestRail, Zephyr, Jira)
  • Knowledge of security testing methodologies for AI systems
  • Scripting experience with Python, including working with LLM APIs
    
    
  What Makes This Role Exciting
  
  
  • Define Quality practices for GenAI applications
  • Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy
  • Shape quality standards that will impact millions of enterprise users
  • Collaborate closely with engineers, data scientists, and product teams
  • Grow expertise in a highly specialized and increasingly important domain
  • Influence the entire AI product development lifecycle from design to release
  • Join a team that values quality as a first-class concern, not an afterthought

Join us in innovating our testing processes and ensuring the delivery of high-quality software products through advanced automation techniques.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

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 

The Role: Building the Engine for AI Transformation

Smartly’s Operations culture is evolving. We are building an intelligent, automated ecosystem that powers our entire global organization. As a Senior Solutions Engineer, you will be the primary technical partner for our AI Transformation team. While they identify strategic AI opportunities, you are responsible for the execution—building the connectors, agents, and interfaces that allow our internal teams to leverage AI in their daily work.

You will serve as a bridge between technical solutions and operational excellence. Your core responsibility involves identifying areas of inefficiency and disjointed processes ("silos") and resolving them by developing intelligent workflows, scalable internal tools, and effective code to ensure smooth, integrated operations. We are looking for a "builder" who thrives on independence and is obsessed with the "How can we do this better?" mindset.

As a Senior Solutions Engineer at Smartly, you will...

• Partner with AI Transformation team: Collaborate with the AI Transformation team to productize AI and automation prototypes, ensuring that new tools and agentic capabilities are successfully integrated into internal business processes.
• Orchestrate Internal Automations: Build and maintain a wide variety of internal tools and workflows for most teams across the company; these solutions range from traditional API-based automations to complex AI agentic workflows.
• Modernize Internal Systems: Develop and scale the internal tools and processes that enable teams to move faster, utilizing a blend of AI-driven agents and standard programmatic automations to solve operational needs.
• Own the Backend: Maintain and expand our internal microservices architecture, primarily running on TypeScript and NodeJS.
• Cloud Infrastructure Management: Independently manage and optimize our cloud infrastructure (we primarily use Google Cloud Platform), ensuring our internal tools and AI services are performant, secure, and scalable.
• Build Service Integrations: Act as the master of APIs, integrating disparate internal and external services (Salesforce, Slack, Big Query, data warehouse etc.) to create seamless data flows for both users and AI agents.

We’re definitely looking for you if you have...

• Innovative & Experimental Mindset: You are naturally curious and enjoy experimenting with new technologies. Our work involves frequent exploration of emerging tech stacks and AI libraries, so you should be comfortable navigating ambiguity and testing new tools.
• A Builder’s Background: A versatile technical background with exposure in Software Engineering, Data Engineering, or Artificial Intelligence—with a strong track record of building diverse technical solutions, internal automations, and scalable data pipelines.
• TypeScript/NodeJS Mastery: Strong proficiency in TypeScript and NodeJS (Koa/Express experience is a major plus).
• AI Implementation Experience: Proven experience building and maintaining AI agentic workflows or MCPs. You know how to leverage LLM APIs (Vertex AI/OpenAI) to build practical, task-oriented agents.
• Prompt Engineering: You have a deep understanding of prompt engineering techniques to produce high-quality, structured, and reliable outputs from LLMs. You can design, test, and iterate on prompts for complex agentic tasks.
• API Expertise: High familiarity with REST APIs and complex service-to-service integrations.
• Self-Driven Learning: The ability to dive into microservices, understand its logic, and implement modern solutions without constant supervision.
• Collaborative Mindset: The ability to translate needs from most internal teams into technical requirements that solve real-world problems for non-technical stakeholders.

Bonus Points for:

• Automation Platforms: Experience with workflow automation tools like Zapier, n8n, or similar platforms used to build and orchestrate agentic workflows.
• React Skills: Ability to build or tweak frontend admin dashboards to make your automations accessible to internal users.
• AdTech Background: Familiarity with Meta GraphAPI, TikTok Ads, or Google Ads APIs.