We are looking for a highly motivated and skilled Atlassian System Engineer to join the Workplace Technology Atlassian platform engineering team. This role is responsible for designing, implementing, and maintaining our cloud Atlassian suites. Additionally, this role will handle UI configurations, automation, and integrations to optimize business processes and user experience.

Responsibilities:

• Design and maintain the global configuration of Atlassian Cloud applications
• Provide support to end-users by troubleshooting issues and assisting with Atlassian tool-related inquiries.
• Configure user provisioning, workflows, automation rules, custom fields, schemes, permissions, add-ons, dashboards, reports, and integrations 
• Configure Confluence spaces, templates, and macros to improve collaboration
• Adhere to tools best practices and standard methodologies to maintain consistency across all instances
• Work with stakeholders to improve user experience and UI configurations for Atlassian suite
• Develop custom scripts to automate administration tasks and enhance productivity
• Maintain comprehensive documentation for Atlassian configurations, features, and processes.
• Ensure documentation is up-to-date and accessible to relevant stakeholders.
• Provide trainings to users and teams to increase user adoption and promote new features

Qualifications:

• Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, or related field.
• 2+ years of admin experience in managing Atlassian Cloud applications
• 1+ years of hands-on experience with Atlassian REST APIs to perform bulk actions or build custom integrations
• Experience using various add-ons, such as eazyBI, custom charts, and script runner

Preferred Qualifications:

• Hands-on administration experience in Jira Service Management and JPD
• Administration experience with JPD, and Atlassian Projects
• Proficiency in Python scripting
• Experience in using Atlassian Analytics and Rovo
• Experience in using Jira plan

# LI_Linkedin

We are looking for a highly motivated and skilled Atlassian System Engineer to join the Workplace Technology Atlassian platform engineering team. This role is responsible for designing, implementing, and maintaining our cloud Atlassian suites. Additionally, this role will handle UI configurations, automation, and integrations to optimize business processes and user experience.

Responsibilities:

• Design and maintain the global configuration of Atlassian Cloud applications
• Provide support to end-users by troubleshooting issues and assisting with Atlassian tool-related inquiries.
• Configure user provisioning, workflows, automation rules, custom fields, schemes, permissions, add-ons, dashboards, reports, and integrations 
• Configure Confluence spaces, templates, and macros to improve collaboration
• Adhere to tools best practices and standard methodologies to maintain consistency across all instances
• Work with stakeholders to improve user experience and UI configurations for Atlassian suite
• Develop custom scripts to automate administration tasks and enhance productivity
• Maintain comprehensive documentation for Atlassian configurations, features, and processes.
• Ensure documentation is up-to-date and accessible to relevant stakeholders.
• Provide trainings to users and teams to increase user adoption and promote new features

Qualifications:

• Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, or related field.
• 2+ years of admin experience in managing Atlassian Cloud applications
• 1+ years of hands-on experience with Atlassian REST APIs to perform bulk actions or build custom integrations
• Experience using various add-ons, such as eazyBI, custom charts, and script runner

Preferred Qualifications:

• Hands-on administration experience in Jira Service Management and JPD
• Administration experience with JPD, and Atlassian Projects
• Proficiency in Python scripting
• Experience in using Atlassian Analytics and Rovo
• Experience in using Jira plan

# LI_Linkedin

LI-Phillippines P24875_3391507

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

About Bold Business

Bold Business is an AI-first U.S. based global workforce solutions company rebuilding how businesses operate in the AI era. We build AI-Amplified Talent™, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon — and we back every engagement. If you want to build things that ship and matter, you'll fit right in.

The Role 

You are the technical standard-setter and primary builder for how AI systems are designed, built, and shipped at Bold.

You will:

• Architect systems
• Build them yourself
• Set the bar for everyone else

If you haven’t personally shipped production AI systems end-to-end, this role will not be a fit.

What You’ll Do

Build Real Systems

• Design and ship production RAG pipelines (end-to-end)
• Build multi-agent systems used by real clients
• Integrate LLMs into production workflows (not prototypes)
• Own backend systems (FastAPI, multi-tenant, secure)
• Deploy with Docker + CI/CD + cloud
• Measure and improve output quality before anything ships

Set the Standard

• Define how AI systems are built at Bold
• Establish architecture patterns, prompting standards, and data flows
• Own code quality and reviews — nothing ships without your approval
• Choose tools, frameworks, and infrastructure
• Mentor engineers and raise the performance bar across the team

Non-Negotiable Requirements

English communication — non-negotiable

• Advanced to fluent English — written and spoken
• Ability to explain technical concepts clearly to non-technical stakeholders: clients, founders, business owners
• Professional written communication across emails, Slack, documentation, and status updates
• Comfortable on video calls and async communication with a U.S.-based team

RAG (This Defines the Role)

• You have shipped 2+ production RAG systems (not demos)
• You can explain every decision (chunking, embeddings, retrieval, re-ranking)
• You’ve worked with vector databases in production
• You’ve debugged real issues (hallucination, low recall, bad retrieval)
• You’ve built multi-tenant systems with clean data separation
• You know how to measure and improve output quality

Core Engineering

• 5+ years Python in production
• 3+ years building AI/LLM systems used by real users
• LangChain / LangGraph in production (not tutorials)
• Experience designing multi-agent systems
• Strong backend experience (FastAPI or equivalent)
• Docker, CI/CD, cloud deployment
• Security fundamentals (auth, secrets, isolation)
• Strong written English (clear, direct, professional)
• Proven ability to set and enforce engineering standards

Strong Signals (Highly Valued)

• LlamaIndex, hybrid search, or re-ranking models
• RAG over complex data (PDFs, tables, images)
• Open-source LLMs (Ollama, vLLM)
• MLOps, evaluation, monitoring
• Voice AI pipelines
• Experience leading technical direction for a team
• Client-facing delivery experience

Who You Are

• You build and think in systems, not just features
• You don’t wait to be unblocked — you solve it
• You care about clean, scalable systems in production
• You can explain complex systems simply
• You push standards higher, even when it’s uncomfortable

Experience: 5–8 years
Proof: Live systems with real users (required)

How We Evaluate You

We will ask you to:

• Walk through a system you built in detail
• Explain your architectural decisions
• Build a working RAG pipeline
• Show how you think, not just what you know

Bold Business

AI-First. Standards-First. Delivery-First.
We build systems that ship, scale, and earn trust.

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.

So, what’s the role all about?

To support continued growth, our team is looking for a Professional Services Engineer - Customer Success to partner with our Sales, Professional Services, Development, and other functional teams to design and build perfect customer journeys for our clients.

Proactive AI Agents is a cloud-hosted conversation platform, and part of NICE CXone's suite of customer engagement software. Pro-active and covering all digital channels, Proactive AI Agents leverages artificial intelligence, natural-language processing and machine-learning so that global brands can transform their customer journeys.

Proactive AI Agents disrupts the traditional call-centers, being just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call-center predecessors. This means that as well as being lower cost, Proactive AI Agents can drive corporate KPIs harder and faster, as well as improve the customer experience.

How will you make an impact?

• Support the successful delivery and ongoing optimization of customer journeys by executing against defined customer success and professional services plans.
• Partner with Senior and Lead Customer Success Managers, Sales, and Configuration teams to implement solutions that align with client business objectives.
• Contribute to identifying expansion and growth opportunities within assigned accounts and support value realization conversations.
• Deliver high-quality technical implementations and solution configurations in line with agreed architectures and best practices.
• Act as a trusted day-to-day technical contact for customers, building strong working relationships and credibility over time.
• Develop and maintain a solid understanding of the Proactive AI Agent platform and support customer adoption of relevant features and functionality.
• Learn and understand customers’ business needs, drivers, and workflows to help translate requirements into effective technical solutions.
• Support end-to-end delivery activities, including solution validation, planning, implementation, and go-live support, under the guidance of senior team members.
• Collaborate with internal stakeholders to ensure alignment across delivery, customer experience, security, and operational requirements.
• Work in a structured, methodical, and process-oriented manner to ensure consistent and scalable delivery outcomes.
• Partner with other internal teams to monitor key customer metrics and help demonstrate the value of Proactive AI Agent solutions.
• Clearly and confidently communicate technical concepts, solution designs, and outcomes to stakeholders.
• Apply customer-focused problem-solving skills to support issue resolution and continuous improvement efforts.
• Operate effectively within Agile or similar delivery methodologies to support end-to-end project execution.
• Demonstrate accountability and ownership for assigned workstreams, deliverables, and customer commitments.
• Maintain a curious mindset, asking questions and seeking opportunities to learn, improve processes, and deepen technical expertise.
• Apply commercial awareness when supporting customer outcomes, ensuring solutions align with contractual scope and business value.

Have you got what it takes?

• Proven experience supporting service delivery or project execution in an IT, SaaS, or cloud-based environment.
• Demonstrated commercial awareness, with the ability to support business cases and articulate customer value.
• Experience contributing to medium-to-large projects, supporting end-to-end delivery
• Solid technical aptitude, including data analysis and regular use of tools such as Excel to analyze data sets and support decision-making.
• Strong relationship management skills, with the ability to communicate clearly and professionally with customer stakeholders.
• Familiarity with how large organizations operate, enabling effective collaboration and stakeholder coordination.
• Ability to manage multiple customer workstreams or tasks concurrently while maintaining quality and attention to detail.
• Comfortable operating in a fast-paced environment with changing priorities and customer-facing timelines.
• Experience collaborating within cross-functional teams; prior experience guiding or supporting others is a plus but not required.
• Exposure to Agile or similar delivery methodologies is preferred.
• Nice to have: Experience or strong interest in AI, applied AI, or automation technologies, including an understanding of how AI-driven solutions can enhance customer experience and operational outcomes.

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!

Requisition ID: 10807
Reporting into: Team Lead, Professional Services
Role Type: Individual Contributor

So, what’s the role all about?

To support continued growth, our team is looking for a Professional Services Engineer - Customer Success to partner with our Sales, Professional Services, Development, and other functional teams to design and build perfect customer journeys for our clients.

Proactive AI Agents is a cloud-hosted conversation platform, and part of NICE CXone's suite of customer engagement software. Pro-active and covering all digital channels, Proactive AI Agents leverages artificial intelligence, natural-language processing and machine-learning so that global brands can transform their customer journeys.

Proactive AI Agents disrupts the traditional call-centers, being just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call-center predecessors. This means that as well as being lower cost, Proactive AI Agents can drive corporate KPIs harder and faster, as well as improve the customer experience.

How will you make an impact?

• Support the successful delivery and ongoing optimization of customer journeys by executing against defined customer success and professional services plans.
• Partner with Senior and Lead Customer Success Managers, Sales, and Configuration teams to implement solutions that align with client business objectives.
• Contribute to identifying expansion and growth opportunities within assigned accounts and support value realization conversations.
• Deliver high-quality technical implementations and solution configurations in line with agreed architectures and best practices.
• Act as a trusted day-to-day technical contact for customers, building strong working relationships and credibility over time.
• Develop and maintain a solid understanding of the Proactive AI Agent platform and support customer adoption of relevant features and functionality.
• Learn and understand customers’ business needs, drivers, and workflows to help translate requirements into effective technical solutions.
• Support end-to-end delivery activities, including solution validation, planning, implementation, and go-live support, under the guidance of senior team members.
• Collaborate with internal stakeholders to ensure alignment across delivery, customer experience, security, and operational requirements.
• Work in a structured, methodical, and process-oriented manner to ensure consistent and scalable delivery outcomes.
• Partner with other internal teams to monitor key customer metrics and help demonstrate the value of Proactive AI Agent solutions.
• Clearly and confidently communicate technical concepts, solution designs, and outcomes to stakeholders.
• Apply customer-focused problem-solving skills to support issue resolution and continuous improvement efforts.
• Operate effectively within Agile or similar delivery methodologies to support end-to-end project execution.
• Demonstrate accountability and ownership for assigned workstreams, deliverables, and customer commitments.
• Maintain a curious mindset, asking questions and seeking opportunities to learn, improve processes, and deepen technical expertise.
• Apply commercial awareness when supporting customer outcomes, ensuring solutions align with contractual scope and business value.

Have you got what it takes?

• Proven experience supporting service delivery or project execution in an IT, SaaS, or cloud-based environment.
• Demonstrated commercial awareness, with the ability to support business cases and articulate customer value.
• Experience contributing to medium-to-large projects, supporting end-to-end delivery
• Solid technical aptitude, including data analysis and regular use of tools such as Excel to analyze data sets and support decision-making.
• Strong relationship management skills, with the ability to communicate clearly and professionally with customer stakeholders.
• Familiarity with how large organizations operate, enabling effective collaboration and stakeholder coordination.
• Ability to manage multiple customer workstreams or tasks concurrently while maintaining quality and attention to detail.
• Comfortable operating in a fast-paced environment with changing priorities and customer-facing timelines.
• Experience collaborating within cross-functional teams; prior experience guiding or supporting others is a plus but not required.
• Exposure to Agile or similar delivery methodologies is preferred.
• Nice to have: Experience or strong interest in AI, applied AI, or automation technologies, including an understanding of how AI-driven solutions can enhance customer experience and operational outcomes.

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!

Requisition ID: 10806
Reporting into: Team Lead, Professional Services
Role Type: Individual Contributor

So, what’s the role all about?

As a rapidly growing business, we are further expanding the team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and much more to clients across the globe.

Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.

How will you make an impact?

• Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
• Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
• Train team members, partners, and clients on the available data structures and reporting tools.
• Conduct research and perform data analysis to identify root causes of issues, assess impact, and uncover anomalies or inconsistencies within the data.
• Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and produce insightful reports and dashboards.
• Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
• Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
• Support data governance efforts by documenting processes, maintaining a knowledge base, and contributing to data security best practices.
• Understand, propose, improve, implement processes (what processes? Very vague)
• Write efficient and optimized SQL and scripts to extract, transform, analyze, and present data in meaningful formats.
• Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
• Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
• Provide on-call support to global customers
• And other responsibilities

Have you got what it takes?

Basic Qualifications:

• 6+ years experience in a consulting / data engineering / professional services role
• 3+ years experience in senior/leadership roles
• Ability to influence stakeholders and customers on project management and related topics.
• Experience working with databases (relational and non-relational) at scale (ex: MySQL, Redshift, PostgreSQL, MongoDB, Redis, Cassandra, etc.)
• Experience working with data warehouses and data lakes, including the associated ETL, reporting and data visualization tools (example: Looker, Power BI, Tableau, etc.)
• Experience writing complex queries (SQL/NoSQL)
• Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex)
• Expert understanding of Professional Services Project Management Policies and Processes
• Develop processes and process improvements to ensure high-quality and cost effectiveness
• Excel in the ability to identify areas of concern based on documentation based on product knowledge, the needs of the stakeholders/customer, and other factors
• Analytical mindset with excellent problem-solving and troubleshooting skills.
• Willingness and enthusiasm to learn complex AI-driven platforms and tools.
• Ability to successfully work in a team-oriented, highly collaborative environment
• Ability to clearly communicate and present to stakeholders (internal and external)
• Amenable to work shifting schedules

Nice to Have:

• Familiarity with AI/ML-driven data solutions, or interest in learning.
• Experience working in cloud environments (Example: Azure, AWS, or GCP).
• Exposure to Python, R, or other scripting languages for data analysis.
• Understanding of data privacy, security, and governance frameworks.

Requisition ID: 9104

Reporting into: Manager, Professional Services
Role Type: Individual Contributor

So, what’s the role all about?

The Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NICE products and services. This includes implementing, configuring, and optimizing AI-driven applications, such as chatbots, knowledge assistants, and other CXone digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.

As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.  

Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.

How will you make an impact?

• Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
• Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
• Collaborate with clients to understand their business requirements, workflows, and data needs, translating these into effective BI solutions.
• Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and build data-driven solutions.
• Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
• Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
• Create and maintain technical documentation including data models, system architecture, and implementation guides for clients and internal teams and support data governance efforts by documenting processes, maintaining knowledge bases, and contributing to data security best practices.
• Write efficient and optimized SQL and query language scripts to extract, transform, analyze, and present data in meaningful formats.
• Troubleshoot and resolve technical issues related to BI tools, data pipelines, and system integrations during the implementation process.
• Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
• Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
• Ensure the delivery of BI solutions on time, within scope, and within budget while maintaining high-quality standards.
• Share expertise and foster a collaborative work environment.
• Provide on-call support to global customers.

Have you got what it takes?

• 3+ years experience in a consulting / data engineering / professional services role.
• Experience in working with databases (relational and non-relational) at scale (ex: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, etc.).
• Experience in working with data warehouse, data lakes, and the associated ETL and reporting tools (example: Looker, Power BI, Tableau, Redshift, etc.).
• Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex).
• Proven experience with Query Languages (SQL/NoSQL), data visualization tools (e.g., Power BI, Tableau, or Looker), and report/dashboard development.
• Analytical mindset with excellent problem-solving and troubleshooting skills.
• Willingness and enthusiasm to learn complex AI-driven platforms and tools.
• Ability to successfully work in a team-oriented, highly collaborative environment.
• Ability to clearly communicate and present to stakeholders (internal and external).
• Amenable to work shifting schedules & Hybrid (2x onsite).

Nice to have:

• Familiarity with AI/ML-driven data solutions, or interest in learning.
• Experience working in cloud environments (Example: Azure, AWS, or GCP).
• Exposure to Python, R, or other scripting languages for data analysis.
• Understanding of data privacy, security, and governance frameworks.

Requisition ID: 9424

Reporting into: Manager, Professional Services
Role Type: Individual Contributor

🌟 Hiring: Senior Data Engineer (Client Location) | New Era Technology 🌟

Client Location: Shah Alam, Selangor
Company: New Era Technology – www.neweratech.com
Work Type: Hybrid

Employment: Permanent

🚀 About the Role:

New Era Technology is looking for experienced Senior Data Engineer to be deployed at our prestigious client in Malaysia at their Shah Alam, Selangor office.

Job Description

Senior Data Engineer and play a pivotal role in shaping our data-driven future across the Asia-Pacific region.

In this role, you’ll collaborate closely with the APAC Data Engineering Manager and team to design and maintain critical data infrastructure and pipelines that power strategic insights and innovative solutions. As a technical expert, you’ll develop system integrations, build complex data models, and create semantic layers that transform raw data into actionable intelligence—driving efficiency, reliability, and growth. If you’re passionate about solving complex challenges and delivering robust data products that enable advanced analytics and reporting, we’d love to hear from you.

Key Accountabilities

Data Integration:

• Establish data engineering best practices and governance standards
• Architect, design, and develop scalable and efficient data integration pipelines using Azure and Microsoft Fabric Pipelines, Dataflows Gen2 to ingest structured, semi-structured, and unstructured data from diverse sources including APIs, databases, file shares, and data streams
• Develop resilient data integration solutions leveraging Azure Functions, Fabric Notebooks (PySpark & SparkSQL), and .NET codebases, and related data lifecycle development frameworks
• Utilize Microsoft Fabric OneLake as the unified data lake foundation for seamless data integration across workloads

Data Modelling:

• Design and develop comprehensive data architecture based on Medallion Architecture
• Develop business-friendly data models using Kimball dimensional modelling techniques within Microsoft Fabric Lakehouse and Data Warehouse, ensuring scalability and efficiencyDesign, develop, and manage Power BI semantic models and Direct Lake mode datasets to support business intelligence initiatives and self-service capabilities
• Maintain data dictionaries and metadata repositories using Fabric's data catalog and lineage capabilities to document data models and their elements, certify and promote models and their definitions, ensuring compliance with cross-region and customer data policies

Insights & Analytics:

• Design and develop comprehensive Power BI solutions including advanced data models, interactive reports, data visualizations, and dashboards through expert use of Power Query, DAX, and Power BI Service
• Implement robust Power BI security, including Row-Level Security, to meet diverse cross-functional team and regional access needs
• Manage the Power BI instance including premium capacity, workspaces, datasets, monitoring, troubleshooting, and user access issues

Advanced Analytics:

• Establish AI/ML engineering best practices and standards
• Design and develop scientific modeling and Machine Learning solutions using native Microsoft Fabric services to generate actionable insights
• Implement predictive and prescriptive analytics solutions and advanced analytics methodologies to optimize decision-making and improve business outcomes
• Leverage Copilot in Microsoft Fabric to accelerate analytics development and enhance productivity

Delivery:

• Deliver complex data engineering solutions using Agile methodologies and iterative development processes
• Ensure quality of data engineering solutions by aligning with endorsed architecture, development, productivity standards, and processes
• Collaborate closely with the Product team and subject matter experts to understand and translate data engineering and integration requirements into technical solutions
• Ensure alignment of data engineering solutions with broader organizational strategic objectives and key performance indicators

DevOps:

• Design, develop, and maintain robust Continuous Integration and Continuous Deployment (CI/CD) pipelines for seamless system integrations
• Develop and maintain automation frameworks that enhance deployment efficiency and reduce manual intervention
• Conduct thorough code reviews and manage pull request approvals in Azure DevOps to ensure code quality and knowledge sharing

Operations:

• Ensure operational stability and risk reduction by proactively monitoring the product and platform health, capacity, and security of the entire data estate within Microsoft Fabric, maintaining regulatory compliance and data protection
• Manage and resolve data-related incidents through thorough root cause analysis and implementing timely and effective remediation activities
• Optimize the performance of data pipelines, queries, and overall data products for enhanced speed, efficiency, scalability, and cost reduction
• Review and implement continuous improvement activities to boost data product efficiency and quality

Qualifications

Education:

Minimum BS/BA Degree, preferably in a Technology, Computer Science, Mathematics or Statistics related discipline

Experience:

• 4+ years of data engineering experience with a proven history of successfully designing, developing, and deploying data warehouse and data integration solutions using Azure and Microsoft Fabric technologies
• 3+ years of experience with Power BI and proficiency with semantic modeling and data packaging concepts
• 2+ years of experience with Agile and Scrum engineering practices and principles

Technical:

• Expert in Microsoft SQL Server database and Azure data engineering (Azure Data Factory, Azure Functions, Azure Data Lake, Logic Apps, Microsoft Fabric) with strong ETL/ELT and SQL/T-SQL scripting skills
• Proven expertise in Business Intelligence and reporting tools (Microsoft Power BI, DAX, Power Query, Power BI Semantic Models) and related tools (Power Automate, Visual Studio, Tabular Editor, ALM Toolkit)
• Hands-on experience with Machine Learning and Python programming skills for buildingML workflows
• Strong understanding of the CI/CD process using Azure DevOps (Pipelines, Boards, Git/GitHub integration)

Additional:

• Think logically and be able to articulate thoughts in a clear, concise manner
• Comfortably work both individually and as part of APAC team with team members located in Australia and Asia
• Take ownership of assignments and see them through to completion
• Provide technical leadership and mentorship
• Quickly learn and adapt when dealing with unfamiliar systems and applications
• Be able to communicate clearly and effectively with business partners and co-workers
• Meet deadlines and complete work in a timely manner
• Be willing to go the extra mile to get the job done, including occasional overtime
• Display exceptional follow-through, personal drive, and the desire to make a difference
• Contribute to and participate in an open environment with a team that likes to have fun at work

👤 Preferred Candidate:

• Nationality: Malaysians preferred.
• Availability: Candidates who can join max in 30-60days.

 📧 How to Apply:
Send your updated resume to Sravani.Karri@neweratech.com with the subject line:
“Senior Data Engineer - Malaysia”

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.

So, what’s the role all about?

To support continued growth, our team is looking for a Lead Professional Services Engineer - Customer Success to partner with our Sales, Professional Services, Development, and other functional teams to design and build perfect customer journeys for our clients.

Proactive AI Agent is a cloud-hosted conversation platform, and part of NICE CXone's suite of customer engagement software. Proactive and covering all digital channels, Proactive AI Agent leverages artificial intelligence, natural-language processing and machine-learning so that global brands can transform their customer journeys.

Proactive AI Agent disrupts traditional call centers, being just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call center predecessors. This means that as well as being lower cost, Proactive AI Agent can drive corporate KPIs harder and faster, as well as improve the customer experience.

How will you make an impact?

• Drive the strategic direction and long-term success strategy of our client accounts.
• Guide the team in supporting customers, partners, and end users by diagnosing complex technical and solution-related issues, managing escalations, and ensuring timely resolution aligned to customer impact and outcomes.
• Help build and influence a high-performance Customer Success and Professional Services team by guiding, developing, and mentoring talent aligned to customer outcomes; set clear goals, delegate effectively, and empower team members to make informed, timely decisions.
• Own executive-level relationship and lead QBRs/EBRs to influence business decisions and customer value realization.
• Identify and develop opportunities for growth within your accounts.
• Mentor more junior Customer Success Managers to help with their continued development.
• Delivering successful technical architecture (end-to-end) to meet our client’s business objectives.
• Become a trusted technical advisor to Client’s team building strong relationships.
• Maintain a deep understanding of the Proactive AI Agent product and help customers adopt the most relevant features and functionality.
• Understanding the client’s business, understand their key business drivers, and determine how Proactive AI Agent can most effectively deliver the dramatic business improvements.
• Working in close partnership with Proactive AI Agent sales leads and the configuration team.

• Drive forecasting, risk management, and renewal strategy across multiple high-value accounts.
• Champion operational excellence by defining CS processes, playbooks, and frameworks for scale.
• Represent Customer Success in cross-functional initiatives such as product roadmap discussions and customer advocacy programs

• Accountable for the end to end process from opportunity, validation and planning to delivery.
• Managing relationships with all internal and external stakeholders.
• Provide technical, customer experience, security and delivery expertise and guidance.
• Working in a methodical and process-oriented way.
• Working with the Proactive AI Agent reporting and insights teams to monitor key account metrics and develop new and innovative ways to demonstrate Proactive AI Agent' value.
• Confidently and clearly communicating the Proactive AI Agent value to clients.
• Strong partnerships through excellent client relationship management.
• Experienced in Agile or another methodology to illustrate end to end process.
• Ability to articulate technical information clearly to senior stakeholders.
• A curious and questioning approach. Asking why and looking for continuous improvement.
• Accountability and ownership.
• A commercially aware approach.

Have you got what it takes?

• Proven service or project delivery experience in an IT or SaaS environment.
• Extremely strong commercial awareness, including the creation of business cases.
• Experience managing large and complex projects end to end.
• Strong technical experience, including data analysis (you’ll be very used to using Excel to manipulate large data sets and prove your case).
• Proficiency in data-driven decision-making, including leveraging BI tools and customer health analytics to influence account strategy.
• Proven relationship management experience, with the ability to communicate, present and influence stakeholders and sponsors within management levels at blue chip organizations.
• Detailed knowledge of large corporations operating practices and mechanisms that will enable you to tailor stakeholder management and influence outcomes.
• Ability to manage multiple accounts and work streams concurrently without loss of quality or attention to detail.
• Able to operate highly effectively under intense time and business pressure.
• Experience leading or guiding teams.
• Experience defining and optimizing customer success frameworks, lifecycle plays, and operational processes.
• Experience managing customer risk, escalations, and expectations while balancing contractual commitments and success objectives.
• Strong analytical, diagnostic, and problem-resolution skills in customer-facing scenarios.
• Excellent written and verbal communication skills with a customer-centric, consultative approach.
• Ability to manage multiple initiatives simultaneously and perform effectively in a fast-paced, customer-driven environment.
• Multilingual would be a benefit.

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!

Reporting into: Manager / Team lead

Role Type: Individual Contributor

Requisition ID: 10701

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. 

You:

As a Senior Product Support Engineer at Feedzai, you will serve as the first point of contact for our customers, resolving the most complex and escalated pre-production and post-production technical issues within our cloud-based financial crime prevention platform. This role requires a strong technical foundation, problem-solving mindset, and customer-centric attitude to ensure that customer issues are addressed promptly and effectively.

You’ll be expected to take full ownership of customer incidents, mitigate urgent problems, escalate appropriately to our engineering teams, and follow through until complete resolution. This position involves analyzing complex technical issues across Feedzai’s products , their interaction with customers’ infrastructure, and communicating with stakeholders across all levels of seniority. We are looking for professionals with experience across L1, L2, and L3 support levels—or with the technical capability to operate across these levels.

Your Day to Day: 

• Serve as a technical expert on Feedzai’s products, resolving complex customer issues independently.
• Troubleshoot and resolve product and infrastructure-related issues in a 24/7 environment, adhering to established SLA timelines.
• Manage customer communications effectively, including conference calls and status updates to stakeholders.
• Clearly document and communicate issue root causes, impacts, and resolution steps to internal and external stakeholders.
• Escalate critical issues to the appropriate engineering teams and coordinate resolution efforts across multiple tiers of support.
• Serve as the primary technical liaison between Support and Engineering, driving root cause analysis (RCA) and ensuring efficient hand-offs for critical issues.
• Contribute to the continuous improvement of support documentation, including the creation of internal and external knowledge base articles.
• Translate customer feedback into actionable engineering requirements and collaborate with Engineering and Customer Success teams to prioritize enhancements.
• Regularly interact with internal tools and bug-fixing processes using Shell scripting, SQL, and/or Python.
• After 3–6 months, participate in the on-call rotation for handling high-priority issues during weekends (approximately one weekend every three weeks), with additional compensation.
• Serve as a mentor and escalation point for L1  support staff, providing technical guidance and peer review for incident resolution.
  
  

You Have & You Know-how: 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent professional experience.
• 4–7 years of experience in a technical support, product support, or engineering role.
• Excellent written and verbal communication skills in English, with the ability to produce clear, professional customer-facing documentation (e.g., Root Cause Analysis reports).
• Ability to work autonomously in a fast-paced, dynamic environment.
• Strong technical foundation, with a solid understanding of programming concepts (development experience is a plus, but not required).
• Familiarity with UNIX/Linux systems.
• Understanding of Object-Oriented Programming principles (experience with Java is preferred).
• Hands-on experience with development tools such as Git, IDEs, and related utilities.
• Experience with databases, particularly Cassandra and SQL.
• Knowledge of distributed systems, high-availability architectures, and web technologies (especially REST APIs).
• Familiarity with cloud platforms such as AWS or GCP.
• Exposure to messaging systems like RabbitMQ or Kafka, and coordination tools such as Zookeeper.

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