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.

Backend Developer (Node JS)

Experience: 3 to 5 years / 5 years & up

Job Mode: Contract

Work Mode: Hybrid 

Job Summary

As a Software Engineer, you will play a critical role in developing and implementing secure software solutions to protect our systems and data.

Job description:

This section contains the key objectives for the role.

• Design, execution, deployment, monitoring and maintaining software engineering applications.
• Active participation in Code Reviews and production deployments.
• Take project requirements and map them to technical design
• Actively participate in architecture design teams as a key contributor to product definition and future implementation planning Work closely with frontend and other backend development teams to ensure the platform is built to support their needs
• Work closely with service engineering (SRE) teams to ensure platform is built with scalability & ease of deployment and maintenance
• Build reusable APIs for internal and external use.
• Documentation of standard practices adopted in the platform.
• Team building activities and helping with recruitment.

Qualifications and Skills

• At least 5 years of experience in IT Industry.
• Domain experience within Invest areas (i.e. Stocks, Crypto and Funds) for bank or Fintech.
• Hands on experience/knowledge with TDD, OOP, FP and software design patterns
• Familiar with Amazon Web Services / Cloud
• Good exposure in CI/CD adoption.
• 4 yrs strong NODE tech stack- MUST

Role-specific Requirements

 Technologies: Node JS

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Responsibilities

Workato is winning enterprise customers who have chosen us over entrenched incumbents. How well we support them in the first 12-24 months will determine whether they stay, expand, and advocate for us, or quietly begin evaluating alternatives. 

Workato's support organization is at an inflection point. The patterns that worked at commercial scale (first-response SLA compliance, reactive ticket management, escalation-heavy workflows) are no longer sufficient for the enterprise customers we are winning and must retain. The gap between where our support capability is today and where it needs to be for this customer tier is real, recognized, and addressable. 

We are hiring a Director, Product Support to close this gap and drive the transformation. You will inherit a team with genuine capability and promising AI initiatives, and will build on that foundation to create a support function that is a competitive differentiator, not a source of CSM overhead and customer frustration. 

If you have rebuilt support organizations, lived inside the enterprise integration world, and want to lead a transformation that directly impacts Workato's ability to win at the enterprise level, this is that role.

Support Transformation

• Position the support team as a strategic differentiator.  

• Diagnose and fix the root causes behind slow time-to-resolution and other operational issues.  

• Redesign the escalation model: raise the bar for valid escalations, fix handoff standards, and reduce process bottlenecks.

• Overhaul the Technical Assistance Request (TAR) process to match enterprise SLA expectations and eliminate CSM ticket-expediting

• Shift team culture and metrics from first-response SLA to time-to-resolution and customer outcome ownership and build accountability systems.

• Establish and operationalize the Named Engineer model — dedicated primary and backup engineers assigned to Workato’s top 20 enterprise accounts, matched to each account’s tech stack and business context.

AI-Powered Operations

• Drive in-flight AI initiatives (ticket triage, Freshdesk MCP) into production; deploy IRO deflection tooling.

• Integrate log-access MCP servers into frontline workflows; build LLM-assisted ticket enrichment for cleaner escalations.

• Use ticket data as a product intelligence pipeline and surface recurring pain points to the roadmap.

Enterprise & Developer Support

• Build specialized technical capability  focused on developers using Workato through API-first and embedded deployments, Enterprise MCP integrations, and agentic workflow implementations.

• Develop technical support for developers on API-first, Enterprise MCP, and agentic deployments; create self-serve pathways to reduce ticket volume.

• Ensure the team has depth in REST/SOAP APIs, webhooks, OAuth, event-driven architectures, and the Workato SDK and recipe framework.

• Create developer-facing support pathways including documentation, sandbox environments, and community tooling that reduce ticket volume while increasing developer satisfaction.

• Partner with Product and Engineering to close feedback loops on developer experience issues surfaced through support.

Team & Cross-Functional

• Lead and grow the Philippines-based team and a small extension team in India, recruit support engineers and architects with depth to engage enterprise technical stakeholders.

• Lead and coach the management team on operational discipline, quality management, and how they think about customer outcomes — not just metrics.  

• Run structured quality reviews with each manager as a coaching tool, not a reporting exercise.

• Build career paths, competency frameworks, and AI fluency as a core skill requirement across all support roles.

• Identify high performers early and invest in their growth. Identify low performers early and act - do not leave either group in ambiguity.

• Partner with CCE, CSM, Engineering, and Product on clean handoffs, shared accountability, and feedback loops.

Requirements

Qualifications / Experience / Technical Skills

Experience

• 10+ years in enterprise technical support or support engineering; 2–4 years in a senior manager or director-level role.

• Hands-on experience with one or more legacy iPaaS platforms. 

• Demonstrated track record improving support operations: resolution time, escalation rates, CSAT.

• Experience leading teams in the Philippines or broader APAC.

Technical Depth

• Able to review integration logs and guide engineers through root cause analysis without defaulting to engineering escalation.

• Working knowledge of REST/SOAP APIs, OAuth, SAML/SSO, event-driven architecture, cloud infrastructure (AWS/Azure/GCP).

Soft Skills / Personal Characteristics

Leadership Qualities

• Change agent. Diagnoses entrenched problems and drives transformation without burning the team.

• Outcome-oriented, data-driven, and collaborative by default across CCE, CSM, Engineering, and Product.

• Confident communicator who can represent Support with senior leadership and enterprise customer stakeholders.

(REQ ID: 2699)

Solutions Designer

Experience: more than 4 years

Job Mode: Full-time

Work Mode: Hybrid 

Job Summary

Responsibilities and Duties

• Product Solutions Designer/Managers are responsible for the development and delivery of new products and services as well as improvements to existing products and services
• Manage the product design and development team, create processes and mechanisms to enable to the team to support
• They are key members of cross-functional product development and delivery teams that typically include engineers, technologists as well as representatives from marketing, finance and quality assurance teams. Product leads liaise with different members of the development team to drive projects forward.
• Product Solutions Designer/Managers must be customer-centered but also have the relevant technology know-how to bridge in order to develop “product market” fit. They work with Product Owners to develop a deeper understanding of customer needs -- that can be accomplished via research, reviewing data and analytics of customer behavior, A/B testing and talking directly to customers
• Product Solutions Designer/Managers help facilitate product specifications and user stories and are directly responsible for defining the customer experience via mock-ups and wireframes. They work with Product Owners to prioritize features and present trade-offs and risks.
• They work with Technology Leads / Manager and other engineers to agree on a working architecture and present relative trade-offs to certain approaches.
• They also work with Test Leads and Managers to determine edge case scenarios and proper handling on the customer side. Project management skills are essential to bring product development programs to a successful conclusion -- on time and within budget. Product Solutions Designer/Managers develop schedules for each phase of the development program and monitor progress against targets. They also set up reviews at each stage to ensure the program is meeting its objectives as it progresses from concept to specification, design, development and launch.
• Product Solutions Designer/Managers need to have good communication skills to deal with the many different stakeholders in a product development program. They liaise with the senior management team to agree strategic development objectives and gain budget approval for projects. They coordinate the work of different specialists within the development team and ensure that individual members keep the rest of the team informed on progress.

Qualifications and Skills

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Product Solutions Designer/Managers may come from a technical or business background but a strong technical background -- namely having the ability to read source code.
• Previous experience in product and software development, design or digital marketing provides a useful background.
• They must be able to demonstrate the ability to work effectively in a team environment and deliver successful results.
• Experience in working within multidisciplinary teams to meet strategic objectives is important.
• Strong background in process and business operations

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

ITSM Lead

Important Information

Location: Makati City

Experience: at least 6 years relevant experience

Work Mode: Hybrid set up | 2x onsite per week           

Job Summary

The ITSM Lead is a strategic and operational role responsible for establishing and governing the IT Service Management. This individual ensures the continual development, integration, and consistent application of ITIL 4 practices. They are the primary custodian of the Change Enablement and Continual Service Improvement (CSI) practices and provide critical oversight for Incident and Problem Management to minimize technical debt and maximize business value.

Responsibilities and Duties

Service Management Governance & CSI (Continual Service Improvement)

• Define and operationalize the Service Management Office to ensure consistent application of management practices across value streams.
• Act as the CSI Manager, responsible for managing the improvement of ITSM processes and IT services. This involves maintaining the CSI register and ensuring improvements are prioritized based on business value.
• Elevate the organization's ITSM maturity from the current state (approx. 1.27) to the target state (3.0) by implementing standard policies, workflows, and KPIs.

Change Enablement & Risk Control

• Serve as the Change Manager, handling the implementation, documentation, and activities related to the Change Enablement practice.
• Act as the Change Advisory Board (CAB) Facilitator and/or Chairman (in the absence of VP ITSD), organizing agendas and publishing reports to ensure changes are assessed for risk and value.
• Conduct periodic reviews of changes to identify opportunities for optimizing change models and standardizing procedures to increase change throughput.

Operational Oversight (Incident & Problem)

• While not the primary incident resolver, the ITSM Lead is responsible for the Periodic Incident Review. This entails analyzing incident records (specifically P3/P4) for repeats and patterns that indicate underlying problems.
• Prepare and publish Monthly/Weekly Operational Review Reports to track process health, focusing on ticket quality, backlog management, and SLA adherence.
• Identify candidates for Problem Management and Knowledge Management based on incident trend analysis.

Functional Leadership & Reporting

• Serve as the reporting manager for key operational roles, including the Service Desk Manager, Major Incident Manager, Problem Manager, Change Manager
• Ensure clear role definition and mapping (e.g., transition from interim roles to 2026 target roles) as defined in the consolidation guidelines.

Qualifications & Competencies

Based on the organizational competency model, the ITSM Lead requires the following profile:

• Decision-making, delegating, and overseeing the Service Management function..
• Designing work techniques, documenting procedures, and driving continual improvement (CSI).
• Managing stakeholders during CAB meetings and service reviews.
• Prioritizing improvement tasks and ensuring rigorous record-keeping and reporting.ITIL 4 Foundation is the minimum requirement, with intermediate modules (e.g., Create, Deliver and Support) highly preferred.

Experience:

• Deep understanding of the Service Value System and how practices (Change, Incident, Problem) interconnect.
• Experience establishing or managing a Service Management Office (SMO).
• Proficiency in ITSM Platforms (e.g., ServiceNow, ManageEngine) to drive automation and reporting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Project Manager

Important Information

Experience: more than 8 years relevant experience

Work Mode: Hybrid Set up | 2x onsite per week in BGC   

Job Summary

The Project Manager will oversee the planning and execution of assigned projects, collaborating with stakeholders to define scope, objectives, and deliverables. Additionally, they may be required to manage other projects from different functions as needed, demonstrating flexibility and adaptability to changing business priorities. 

Responsibilities and Duties

Project Planning and Execution 

• Define project scope, objectives, and deliverables in collaboration with stakeholders. 
• Develop and manage detailed project plans, including timelines, milestones, resources, and risk management strategies, ensuring alignment with business goals, data quality, and integrity, while providing regular updates and mitigating issues. 
• Ensure alignment with business goals, data quality standards, and technical requirements. 
• Stakeholder & Vendor Coordination 
• Facilitate vendor alignment regular stakeholder meetings and ensure timely communication of project progress, risks, and decisions. 
• Coordinate with vendors and conduct performance analysis to ensure transparency and alignment with project goals. 

Project Delivery & Oversight 

• Oversee the delivery of solutions, ensuring they meet business needs, technical specifications, and quality standards. 
• Oversee the development, deployment, and delivery of assigned projects, such as but not limited to application-related and business solutions. 

Risk & Issue Management 

• Proactively identify, assess, and mitigate project risks to minimize delays and disruptions. 
• Provide timely resolution of issues and escalate when necessary. 

Reporting & Documentation 

• Provide regular project updates, including status reports, risk assessments, issue resolutions, and overall project performance. 
• Ensure proper documentation of projects adhering to PMO process and standards, but not limited to project charter, project Management plan, and other relevant documentation. 

Quality & Compliance 

• Ensure compliance with quality standards, project deliverables and external regulatory requirements. 
• Monitor project deliverables to ensure they meet agreed-upon quality benchmarks. 
• Ensure successful project delivery and stakeholder satisfaction. 

Qualifications and Skills

• Bachelor’s degree in Business Administration, Information Technology, or a related field
• 5+ years of experience in project management. Preferably with a background in business analysis.
• Strong analytical, organizational, and problem-solving skills
• Proficiency in tools such as Microsoft Excel, Visio, JIRA, Confluence, and project management software
• Excellent written and verbal communication skills
• Experience with Agile and Waterfall methodologies

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Senior QA Automation Engineer  

Important Information

Experience: at least 5 years relevant experience

Work Mode: Hybrid Set up 2x onsite per week in Mandaluyong 

Job Summary

the responsibility of ensuring that the software products developed for lending and credit infrastructure projects meet the required standards of quality. This involves working closely with cross-functional teams to establish and maintain quality assurance processes and practices. The role demands strong analytical skills, attention to detail, and proficiency in automation testing to improve the efficiency and effectiveness of software testing procedures.

Overview of Responsibilities and Expectations for the Role​

• Collaborate with the Test Lead and cross-functional teams to define testing requirements, identify test scenarios, and prioritize test efforts based on business goals and project timelines.
• Lead the design, development, and execution of comprehensive test plans, test cases, and test scripts for lending and credit infrastructure projects.
• Establish and maintain automated testing frameworks and tools for API testing, ensuring scalability, repeatability, and maintainability of test suites.
• Conduct code reviews and provide technical guidance to junior team members to promote code quality and adherence to automation best practices.
• Analyze test results, identify trends, and proactively address areas for improvement to optimize software quality and reliability.
• Expertise in API automation testing using industry-standard tools and frameworks such as Postman, RestAssured, or similar, with a focus on building scalable and maintainable automation solutions.
• Advanced proficiency in designing and implementing automation frameworks for API testing, incorporating best practices in test automation architecture, design patterns, and code reusability.
• Deep understanding of RESTful and SOAP APIs, including advanced concepts such as contract testing, schema validation, and asynchronous messaging.
• Strong programming skills in languages such as Python, Java, or JavaScript, coupled with experience in building custom automation solutions and extending automation frameworks.
• Achievement of high test automation coverage, reducing manual testing efforts and improving overall test efficiency.
• Reduction in the number of escaped defects, leading to improved software quality and customer satisfaction.
• Acceleration of software delivery cycles through the implementation of CI/CD practices, resulting in faster time-to-market and increased business agility.
• Recognition as a subject matter expert in API automation testing, providing mentorship and guidance to junior team members

Qualification

• Bachelor’s Degree in the ff: Computer Engineering, Computer Science, Information Technology
• At least 5 – 8 years of Software Testing experience
• At least 3 years of experience in Automation Testing

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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 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 Senior AI QA Automation Specialist, you will leverage a cutting-edge test automation framework to enhance and expedite testing processes, govern and evolve test frameworks, develop a test reporting system, and develop a comprehensive monitoring and alerting system. Your expertise will ensure the robustness, efficiency, and reliability of the software delivery pipeline.

We are seeking a highly skilled Senior AI QA Automation Architect with deep expertise in building and scaling test automation frameworks using the Playwright framework. The ideal candidate has experience defining and driving QA automation strategy across large test suites, implementing clean design principles, and introducing AI-assisted testing methodologies for smarter, more efficient QA cycles.

You will be instrumental in establishing a scalable, maintainable, and robust test automation ecosystem. This role requires both strategic thinking and hands-on execution, serving as a technical leader and mentor to the QA automation team. In this role, you will leverage AI and test automation to enhance and expedite our testing processes, govern and evolve our test frameworks, and develop a comprehensive monitoring and alerting system. Your expertise will ensure the robustness, efficiency, and reliability of our software delivery pipeline.

Key Responsibilities:

• AI-driven Test Automation:
• Implement and utilize AI and intelligent agents to accelerate test generation processes.
• Transition from manual test case development to AI-driven automation solutions, enhancing overall testing efficiency.
• Test case design and documentation:
• Define clear, concise, and comprehensive test cases based on requirements, specifications, and user stories. Ensure test cases cover both positive and negative scenarios, edge cases, and system interactions. Maintain traceability between test cases and product features.
• Test Suite Development & Maintenance:
• Organize and maintain test suites to reflect product changes and evolving test coverage needs. Refactor outdated or redundant tests, ensuring relevance and accuracy. Maintain a clear structure for manual and automated test suites for ease of access and reusability.
• Test Framework Implementation and Governance:
• Design and implement a test automation framework using Playwright for end-to-end web testing that is modular, maintainable, and scalable.
  Create a blueprint and best practices for the QA team to onboard and contribute new automated test cases seamlessly.
• Define coding standards, version control practices, branching strategies, and code review guidelines for the QA automation codebase.
• Integrate test automation into CI/CD pipelines with real-time test reporting.
• Explore and integrate AI-powered tools for test case generation, flakiness detection, and intelligent exploratory testing (e.g., Testim, Mabl, Diffblue, or custom LLM-based test generation tools).
  Champion shift-left testing practices by collaborating with developers, product managers, and DevOps to catch issues early.
• Oversee the maintenance and continuous improvement of the existing test framework.
• Analyze test failures and test escapes to identify root causes and implement solutions.
• Foster a culture of quality through continuous improvements in testing methodologies and frameworks.
• Test reporting and analytics:
• Design and develop test reports to provide visibility into the test suite's performance and failures.
• Implement an effective test failures alerting system to promptly notify feature owners and responsible developers of SUT issues and failures.

Qualifications:

• Minimum Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in Quality Assurance, with 3+ years architecting automation frameworks.
• Deep hands-on experience with Playwright (JavaScript/TypeScript) in a real-world production environment.
• Demonstrated experience building an automation framework from scratch, with organized test categorization, reusability, and CI/CD integration.
• Strong understanding of software testing methodologies, test planning, and test strategy.
• Familiarity with using AI to enhance testing and software development.
• Strong problem-solving skills and attention to detail.
• Experience with test reporting and analytics tools (e.g., Allure, ReportPortal, TestRail)
• Strong scripting and coding skills (JavaScript/TypeScript)
• Experience with test management and defect tracking systems.
• Experience with cloud-based test execution and containerization (Docker, Kubernetes).
• Familiarity with Git, Jenkins/GitHub Actions/Azure DevOps, and cloud services like AWS/GCP is a plus.
• Excellent communication, teamwork, and documentation skills, with a strong ability to advocate for best practices.

Preferred Skills:

• Hands-on experience with AI in software testing, such as using AI for test case generation, code coverage analysis, or flaky test detection.
• Knowledge of test framework design and development.
• Strong understanding of test reporting tools and technologies.

Nice to Have

• Contributions to open-source QA frameworks or tools.
• Familiarity with visual regression tools (e.g., Percy, Applitools).
• Knowledge of performance testing tools and integration with automation pipelines.
• Experience working in Agile/Scrum or DevOps-centric environments.

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

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

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.

Position Summary:

We’re seeking a seasoned Director of Content who is both a strategic editorial leader and a first-rate writer. You’ll shape the voice of DemandScience and personally contribute to flagship content - from thought leadership articles and research narratives to campaign storytelling. This is a player/coach role for someone who can think like an editor-in-chief and write like a journalist.

You’ll lead a team of content writers and work cross-functionally with creative, demand generation, brand, and product marketing teams to develop compelling, high-impact content across formats and channels. This is a senior strategic and operational role that combines writing/editing expertise, editorial planning, and leadership, focusing on consistent quality, performance alignment, and cross-functional collaboration to deliver business results.

Essential Job Functions “What You’ll Do”:

• Serve as editor-in-chief and player-coach, personally writing and editing cornerstone pieces while guiding a small global team.
• Author high-impact content yourself, including executive ghostwriting, thought leadership, research reports, and strategic campaigns
• Translate complex ideas (data, AI, performance marketing) into clear, compelling stories
• Elevate writing quality across the team and guide professional development through hands-on coaching, developmental editing, and structured feedback
• Ensure all content reflects a consistent voice, data accuracy, and high journalistic standards, and is aligned with our brand, visual identity, tone, and clarity
• Develop and maintain the content calendar and editorial roadmap, ensuring alignment with demand generation objectives, buyer journeys, funnel stages, and go-to-market priorities
• Ensure content tells a cohesive story that reflects DemandScience’s positioning, translating high-level messaging into content that connects and converts
• Work with stakeholders across marketing (including demand gen, product marketing, and web teams) to align messaging and map content to funnel stages and ICP needs
• Manage the content development process from brief to delivery, including scoping, assigning, editing, and publication workflows
• Measure performance of key content assets and continuously refine the content strategy for pipeline impact
• Use data and LLM/AIO/SEO insights to guide topic selection, while maintaining editorial integrity. partner with SEO, digital, and analytics leads and SMEs to ensure content supports discoverability, performance, and campaign success
• Support content localization, personalization, and repurposing efforts to scale impact across regions and formats
• Partner with senior executives and subject-matter experts to develop high-impact narratives for analyst briefings, media, and industry events

Essential Qualifications “What You’ll Need”: 

• 10+ years in content marketing or editorial roles, with at least 3+ years in a senior leadership or team management capacity
• Proven experience leading content teams and editorial processes within a B2B or demand gen-focused environment
• Exceptional English writing ability – able to craft and edit original long-form and short-form content at a high editorial standard
• Background in journalism, communications, or editorial writing; experience writing for North American business audiences strongly preferred.
• Hands-on writing experience in thought leadership, executive ghostwriting, or research-driven storytelling
• Proven player-coach approach — able to lead by example, mentor writers, and personally contribute to flagship content.
• Strong editorial judgment and an instinct for narrative flow, tone, and clarity
• Deep understanding of buyer journeys, demand gen funnels, and persona-driven content strategy
• Hands-on experience developing content briefs, managing editorial calendars, and overseeing end-to-end content workflows from ideation to publication.
• Familiarity with CMS platforms (e.g., WordPress or similar), project management tools (e.g., Monday, Asana), and content publishing systems
• Experience managing external writers, agencies, or SEO contractors is a plus
• Organized, deadline-driven, and able to prioritize high-impact deliverables in a fast-paced environment
• Exceptional attention to detail, ability to manage multiple priorities, and a strong sense of initiative
• Comfortable navigating ambiguity, leading with autonomy, and moving quickly from insight to execution

THE GOOD STUFF!

We embrace diversity and inclusion and encourage our amazing team members at DemandScience to bring their authentic, fun selves to work every day. We offer a culture of innovation, mutual respect, support, and transparency.  The competitive and comprehensive benefits our team members enjoy are designed to ensure you and your family members are healthy. Check this out!

• Paid time off
• Medical provided through HMO
• Life Insurance
• Peer-Appreciation Program
• Employee Referral Program
• A fast-paced, innovative culture with an open and collaborative environment, where you can make an impact.
• Join a great organization that cares about employees!

DemandScience is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

#LI-Remote

Find out more at https://demandscience.com/careers/#join-the-team