Yondu is a Philippine-based IT solutions company owned by Globe Telecom. We empower businesses across various industries through a wide array of innovative technology solutions to help them scale in the new digital economy. Our mission is to create happier technological experiences by turning great ideas into excellent and valuable business solutions.
If you’re looking to advance your career in the IT industry, Yondu is the best place to be. You will be a part of a young, dynamic culture that always pursues innovation and growth. As a Yondude, you’ll gain fresh perspectives from a team of knowledgeable and competitive individuals and learn how to develop cutting-edge business solutions that go above and beyond. You’ll also enjoy collaborating with brilliant and fun people who are ready to take on the world.
Established in 2001, our company has grown exponentially, and we’re always on the lookout for highly skilled and competitive individuals to innovate and evolve with. If this sounds exciting for you, #BeAYondude, and leverage your expertise to help us achieve our ultimate goal of going above and beyond!
Join us and grow your career in the IT industry!

YONDU INC.

Key responsibilities

Develop and maintain code: Write clean, scalable, and efficient Python code for new features and existing systems.

Build back-end systems: Create and improve back-end components to enhance responsiveness and performance.

Integrate applications: Seamlessly connect user-facing elements with back-end logic and other third-party services.

Test and debug: Test software, identify and fix bugs, and ensure the application runs smoothly across platforms.

Collaborate with teams: Work with designers, project managers, and other engineers to understand requirements and deliver technical solutions.

Implement security: Develop and implement security and data protection solutions to safeguard applications.

Optimize performance: Suggest and implement improvements to enhance application performance and scalability.

Automate tasks: Write scripts to automate repetitive tasks and improve efficiency.

Manage code repositories: Maintain and handle project source code repositories.

Python Developer

Job Description

• You develop and expose APIs for Front teams 
• You develop in React 
• You participate in setting up a sustainable and industrialized architecture 
• You search for and resolve bugs 
• You help us in the design and run of our assets 
• You participate in improving test coverage

Essential technologies and languages: 
• Python / Flask 
• Redhat OpenShift and container technologies 
• React 
• AWS Cloud including Lambda 
• Docker 
• MongoDB

 
Profile sought: 
You have proven experience in backend development and have skills in React front- 
end. Thanks to your knowledge in architecture, you are comfortable proposing 
concrete actions for continuous integration and deployment. You do not hesitate to 
challenge a need to implement a solution that seems more appropriate to you. Your 
level of English is operational at a minimum: ability to write and interact orally. For 
you, agile is not just a word used by your PE teacher in 5th grade. Autonomous and 
proactive, you want to get involved and grow within a competent and friendly team.

Fullstack Developer Python and ReactJS

• Scripting and programming: Python, Bash, GO, Templating engine (Jinja2, Go) 
• Intermediate networking skills: knowledge of protocols (HTTP,HTTPS, DNS, and general TCP/IP) 
• Advanced knowledge in (Docker) Image building 
• Kubernetes deployments (including HELM templating) 
• Familiarity of the Reverse Proxy concept, knowledge of Envoy would be great! 
• CI/CD GitHub Actions, alternatively AWS CodeBuild 
 
Activities: 
• Design, development &amp; delivery of updates to existing container images and pipeline, as part of 
• small team. 
•  Write and maintain Perl/Python and Shell scripts to automate processes and enhance productivity. 
• Develop in Golang and similar programming languages. Deploy using Docker, Helm, and Kubernetes 
• pipelines. 
• Execute with an enterprise cloud mindset to deliver on security guidelines, compliance guidelines, 
• and infrastructure initiatives with engineering program management. 
 
Requirements 
• Professional software development experience. 
• Ability to write clean and scalable code using Golang, Python, Groovy, or similar technologies. 
• Ability to maintain existing Perl scripts for process automation required. 
• Prior experience with Docker, Git, Bash. 
• Prior usage of pipelines (CodeBuild), YAML, Templating (Jinja, GO templates), and networking 
• concepts required. 
• Experience with Docker, Helm, Kubernetes, and knowledge of hyperscaler primitives required. 
• Alignment of work schedule with either North American business day or EMEA business day. 
•  DevOps mentality with an understanding of Continuous Integration, Continuous Delivery, Monitoring and Observability. 
• ·Experience in CI/CD and devops tools like Jenkins, Artifactory, Docker, Vault preferred. 
• ·Hands-on experience with cloud native solutions is preferred. 
• ·Excellent communication in English. 
 
Developer (Python) – Must-Have Technical Skills: 
 
- Proficient in Python and Bash scripting 
- Strong in data structures, algorithms, design, and coding 
- Experience with cloud-native services 
- Development using public cloud APIs 
- Experience in Linux 
- Familiarity with JIRA and GitHub 
 
Number of years experiences needed: minimum 3 years 
 
Shift Schedule: (night shift) 12am to 10am ; may vary depending on client needs 
Work Set up: Hybrid 
Number of days in a month or week that needs to be in the office: Standard for the project is 2 times a week – Wed and Thu; but for night shift workers it is with exception of once every 2 months. Again, subject to change depending on client needs 
Location (During onsite): Uptown 2

Python

Python Programming Language

<ul>
	<li>Converts technical component design into a working back-end code and/or front-end code.</li>
	<li>Deliver projects on time and budget consistently. </li>
	<li>Applies generally accepted programming standards and techniques to assure efficient program logic and data manipulation consistently.</li>
	<li>Creates and maintains Unit tests before endorsing the application for QA Test.</li>
	<li>Diagnose and resolve software problems quickly and efficiently.</li>
	<li>Participates in reviewing project requirements.</li>
	<li>Manages the deployment of the application to different staging environments.</li>
	<li>Maintains and handles project source code repositories.</li>
	<li>Provides an accurate project status report to the Project Manager.</li>
	<li>Keep abreast of technology trends with relation to system or software development trends as much as possible.</li>
	<li>Other job-related activities that may be assigned from time to time.</li>
</ul>

AI Engineer [Python]

<ul>
	<li>Participate in regular backlog refinement providing your valuable developer’s insight and enhancing your designing skills</li>
	<li>Regular sprint planning that should protect you from over working and practice your time management skills</li>
	<li>Of course, develop crazy technology and implement simplified business logics in order to provide our customers with better experience</li>
	<li>Do seasonal Research and Development or what we call Innovation Sprints to allow you to uplift you technical skills</li>
	<li>Work with the program and project management team in providing them clarity on the timelines on the great technical development work you’re doing</li>
	<li>Keep the entire Payment Services ecosystem running smoothly by hunting (and fixing) those bugs and errors</li>
</ul>

Fullstack Developer {ReactJS, NodeJS, Java, Javascript, Python}

Responsibilities:

<ul>
	<li>Writes working back-end, front-end, and/or mobile code using generally accepted standards and best practices</li>
	<li>Resolves defects found in the code</li>
	<li>Writes and conducts unit tests before endorsing to the QA team</li>
	<li>Submits and maintains source code using version control system repositories</li>
	<li>Participates in code reviews and quality assurance activities</li>
	<li>Attends team meetings</li>
	<li>Reports task status to immediate supervisor or project lead</li>
	<li>Assists junior and mid-level resources under the same capability</li>
</ul>

Software Engineer | ReactJS & Python

Key Responsibilities:

<ul>
	<li>Data Transformation: Utilize SQL and Python scripting to clean, transform, and aggregate complex, messy datasets from various sources, preparing them for analysis.</li>
	<li>ETL Support: Collaborate with Data Engineering to monitor, troubleshoot, and optimize data loading and transformation workflows (ETL/ELT)</li>
	<li>Reporting &amp; Visualization: Design, develop, and maintain high-impact dashboards and reports using Power BI to track key business metrics (KPIs).</li>
	<li>Advanced Calculation: Apply DAX (Data Analysis Expressions) to create sophisticated measures, calculated columns, and complex aggregations within Power BI models.</li>
	<li>Business Insight: Conduct deep-dive analyses to identify trends, root causes, and business opportunities, presenting findings clearly to non-technical stakeholders.</li>
	<li>Data Governance: Ensure data accuracy, consistency, and compliance across all reports and analyses.</li>
</ul>

Data Analyst [ ETL | Python | SQL]

<ul>
	<li>Design and implement AI workflows using LangGraph and LangChain, including agent orchestration and state management.</li>
	<li>Build and optimize Python-based pipelines for AI applications.</li>
	<li>Develop and deploy RAG (Retrieval-Augmented Generation) solutions to improve accuracy, grounding, and reliability of LLM responses.</li>
	<li>Integrate AI components into APIs and backend services for production use.</li>
	<li>Collaborate with product, data, and engineering teams to deliver scalable AI-powered features.​​​​​</li>
</ul>

.Software Engineer [Langchain | Langgraph | Python].

The tasks/responsibilities that the role performs to address requirements in Key Result Areas:

<ul>
	<li>Implement and manage tools and applications that enhance productivity and user experience on enterprise data platforms, such as data warehouse tools, data access management tools, metadata management tools (including data catalogs and lineage tracking), and data quality monitoring tools</li>
	<li>Configure and implement security modules of enterprise data platforms to ensure controlled and encrypted network access, encrypted storage, data masking, and data integrity, including data validation, quality checks, integrity constraints, and checksums/hashing for accuracy and trustworthiness.</li>
	<li>Develop and maintain the data lifecycle management, specifically backup, archiving, recovery, and purging data from enterprise data platforms.</li>
	<li>Proactively identify and implement API-driven automation solutions to streamline data security, access controls, metadata management, and data lifecycle management processes on enterprise data platforms</li>
</ul>

The Knowledge, Skills, and Behaviors indicating how tasks/responsibilities will be performed:

<ul>
	<li>Strong understanding of data management and governance practices, including metadata management, data quality management, master data management, and data lifecycle management</li>
	<li>Ability to collaborate with diverse stakeholders and effectively communicate technical concepts to both technical and non-technical audiences.</li>
	<li>Keeps up-to-date with the latest technologies and trends in data security, access control, automation, data lifecycle management, and metadata management</li>
	<li>Proficient in Python programming to automate data security and access control tasks, metadata management, and data lifecycle management processes. This includes developing and maintaining automation scripts, as well as building web applications and tools using frameworks like Django to enhance the enterprise data platform functionality and user experience.</li>
	<li>Ability to analyze complex data challenges and design effective solutions.</li>
	<li>Flexibility to learn new tools, adapt to changing technologies, and solve unexpected challenges.</li>
</ul>

Data Cloud Engineer {Python I SQL}

Responsibilities: 

<ul>
	<li>Writes working back-end, front-end, and/or mobile code using generally accepted standards and best practices</li>
	<li>Resolves defects found in the code</li>
	<li>Writes and conducts unit tests before endorsing to the QA team</li>
	<li>Submits and maintains source code using version control system repositories</li>
	<li>Participates in code reviews and quality assurance activities</li>
	<li>Attends team meetings</li>
	<li>Reports task status to immediate supervisor or project lead</li>
	<li>Assists junior and mid-level resources under the same capability</li>
</ul>

Senior Software Engineer [Fullstack] [ReactJS & Python]

• Design and implement AI workflows using LangGraph and LangChain, including agent 
orchestration and state management. 
• Build and optimize Python-based pipelines for AI applications. 
• Develop and deploy RAG (Retrieval-Augmented Generation) solutions to improve accuracy, grounding, and reliability of LLM responses. 
• Integrate AI components into APIs and backend services for production use. 
• Collaborate with product, data, and engineering teams to deliver scalable AI-powered features.​​​​​​

AI Engineer [Python | RAG | LangGraph | LangChain] ⁿ

• Design and implement AI workflows using LangGraph and LangChain, including agent 
orchestration and state management. 
• Build and optimize Python-based pipelines for AI applications. 
• Develop and deploy RAG (Retrieval-Augmented Generation) solutions to improve accuracy, grounding, and reliability of LLM responses. 
• Integrate AI components into APIs and backend services for production use. 
• Collaborate with product, data, and engineering teams to deliver scalable AI-powered features.​​​​​​.

Software Engineer  [Python | RAG | LangGraph | LangChain] ⁿ

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

*Data Analyst* {With PowerBI, Tableau, Sql & Python}

Qualifications:

Bachelor’s degree in Information Technology, Computer Science, Statistics, or a related field

4–6 years of progressive experience in Data Analysis, Business Intelligence, or related roles

Advanced proficiency in ETL tools and managing large-scale data pipelines

Strong expertise in Python for data analysis, automation, and integration with analytics platforms

In-depth knowledge of DAX for complex data modeling and calculations

Proven experience with BI and visualization tools such as Power BI and Tableau for executive dashboards and enterprise reporting

Strong background in data modeling, SQL, and relational databases

Experience working with stakeholders, translating business needs into technical solutions

Ability to mentor junior analysts and contribute to best practices in data governance and analytics

Strong problem-solving, communication, and presentation skills with a track record of delivering insights that drive business decisions

Data Analyst ] ETL and Python and Dax

The tasks/responsibilities that the role performs to address requirements in Key Result Areas:

<ul>
	<li>Implement and manage tools and applications that enhance productivity and user experience on enterprise data platforms, such as data warehouse tools, data access management tools, metadata management tools (including data catalogs and lineage tracking), and data quality monitoring tools</li>
	<li>Configure and implement security modules of enterprise data platforms to ensure controlled and encrypted network access, encrypted storage, data masking, and data integrity, including data validation, quality checks, integrity constraints, and checksums/hashing for accuracy and trustworthiness.</li>
	<li>Develop and maintain the data lifecycle management, specifically backup, archiving, recovery, and purging data from enterprise data platforms.</li>
	<li>Proactively identify and implement API-driven automation solutions to streamline data security, access controls, metadata management, and data lifecycle management processes on enterprise data platforms</li>
</ul>

 

The Knowledge, Skills, and Behaviors indicating how tasks/responsibilities will be performed:

<ul>
	<li>Strong understanding of data management and governance practices, including metadata management, data quality management, master data management, and data lifecycle management</li>
	<li>Ability to collaborate with diverse stakeholders and effectively communicate technical concepts to both technical and non-technical audiences.</li>
	<li>Keeps up-to-date with the latest technologies and trends in data security, access control, automation, data lifecycle management, and metadata management</li>
	<li>Proficient in Python programming to automate data security and access control tasks, metadata management, and data lifecycle management processes. This includes developing and maintaining automation scripts, as well as building web applications and tools using frameworks like Django to enhance the enterprise data platform functionality and user experience.</li>
	<li>Ability to analyze complex data challenges and design effective solutions.</li>
	<li>Flexibility to learn new tools, adapt to changing technologies, and solve unexpected challenges.</li>
</ul>

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