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.

<ul>
	<li>Strong analytical and planning skills;</li>
	<li>Good communication and presentation skills;</li>
	<li>Excellent problem-solving skills;</li>
	<li>Build OpenAI LLM module for RCA, Incident Summary, Correlations and Remediation engine using SOPs, ELK logs and ServiceNow tickets.</li>
	<li>Build ML Model to detect anomalies in the logs</li>
</ul>

AI Engineer

Key Responsibilities:

Build AI Automation: Develop the core LLM module to automate incident resolution, correlations, and remediation using data from logs and tickets.

Design LLM Architecture: Implement Retrieval-Augmented Generation (RAG) using advanced prompt engineering, context management, and workflow orchestration.

Manage Data Retrieval: Configure and deploy Vector Databases (Milvus/Azure AI Search), optimizing RAG with smart chunking strategies to ensure fast and accurate information retrieval.

Tooling: Use Hugging Face Transformers, OpenAI API, and LangChain for model building, fine-tuning, and deployment.

Anomaly Detection (ML): (Secondary) Develop and deploy traditional Machine Learning models to detect anomalies in log data using techniques like LSTM/IsolationForest.

MLOps: Deploy and monitor all models using modern tools like Docker, Kubernetes, MLflow, and Grafana.

Network Configuration &amp; Maintenance 
Assist in configuring, maintaining, and supporting network devices such as switches, routers, firewalls, and wireless access points.

Incident Troubleshooting &amp; Support 
Provide Level 2 troubleshooting for network-related issues, including connectivity failures, degraded performance, and access problems.

Monitoring &amp; Reporting 
Monitor network health and performance using appropriate tools, proactively identify irregularities, and escalate to senior engineers when necessary.

Documentation 
Maintain accurate documentation of network diagrams, device inventory, configurations, and standard operating procedures.

Access &amp; Resource Management 
Support in managing user access, IP address assignments, VLAN setups, and other network service requests.

Security &amp; Compliance 
Assist in the implementation and monitoring of security protocols, including firewalls, VPNs, NAC, and access control policies.

Maintenance &amp; Upgrades 
Perform routine maintenance such as firmware upgrades, patch management, and system optimization.

Infrastructure Support 
Provide support for site connectivity, LAN/WAN setups, and structured cabling requirements across offices.

Ticket &amp; Request Handling 
Respond to assigned tickets and service requests related to network operations in a timely and efficient manner.

Continuous Learning &amp; Development 
Engage in training and knowledge-building activities to enhance technical expertise and stay updated with networking trends and technologies.

Network Engineer

<ul>
	<li>Collaborate with delivery groups to gather and integrate best practices. Contribute to the standardization process and disseminate identified best practices throughout the organization.</li>
	<li>Coordinate the rollout of institutionalized processes, maintaining training records, and ensuring continuous training for new hires or promotions. Stay updated on industry-standard process methodologies.</li>
	<li>Conduct timely audits of project implementations against organizational processes. Assist in the process review to ensure compliance and identify opportunities for process optimization.</li>
	<li>Analyze root causes in delivery problem areas, actively participating in driving process-related improvements. Contribute to initiatives aimed at enhancing overall project delivery efficiency.</li>
	<li>Continuously learn and adapt methodologies to align with evolving industry best practices.s aimed at enhancing overall project delivery efficiency.</li>
	<li>Other job-related activities that may be assigned from time to time. 
	 </li>
</ul>

Jr Process Engineer

● Serve as the primary technical liaison for a specific business unit or tribe, translating infrastructure requirements into cloud integration solutions. 
● Design and implement integration strategies that ensure scalability, security, and cost-efficiency across hybrid and multi-cloud environments. 
● Provide technical support and hands-on execution of infrastructure-related DevOps tasks for high-priority initiatives. 
● Lead and manage system integrations and infrastructure deployments, ensuring alignment with enterprise architecture and cloud provider best practices. 
● Collaborate with Technical Architects to adopt emerging cloud technologies and enhance existing platforms. 
● Participate in request assessment, prioritization, and solution delivery based on SLAs and project timelines. 
● Work closely with DevOps teams to execute infrastructure provisioning and automation using Terraform, GitLab, Argo CD, and related CI/CD tools. 
● Contribute to continuous improvement initiatives by identifying optimization opportunities in cloud performance, resiliency, and operations. 
● Align infrastructure strategies with broader organizational goals, bridging the gap between technical and business requirements.

DevOps Engineer {Terraform}

About the Role 
Yondu is seeking a Mid-Level Azure Cloud Engineer to join our dynamic technology team. 
You’ll be responsible for designing, deploying, and maintaining cloud infrastructure on 
Microsoft Azure, ensuring performance, scalability, and security. You’ll collaborate closely with developers, architects, and DevOps professionals to deliver reliable cloud solutions that empower Yondu’s digital transformation projects.

Key Responsibilities 
• Design, build, and manage Azure-based cloud infrastructure for production and development environments. 
• Configure and maintain Azure services including Virtual Machines, Virtual Networks, Storage Accounts, Azure Active Directory, and App Services. 
• Develop and maintain Infrastructure as Code (IaC) templates using ARM, Terraform, or Bicep. 
• Manage CI/CD pipelines using Azure DevOps, supporting automated deployments and integration. 
• Implement monitoring, alerting, and cost optimization best practices across Azure 
environments. 
• Ensure security, compliance, and disaster recovery standards are consistently met. 
• Support troubleshooting, root cause analysis, and incident response for cloud-related issues. 
• Document configurations, policies, and procedures for infrastructure operations.

Azure Cloud Engineer

SD-WAN Engineer is responsible for designing, implementing, and managing Software-Defined Wide Area Networks (SD-WAN) to optimize network performance and security across multiple locations. This includes tasks like developing network topologies, implementing SDN solutions, and troubleshooting network issues. 

Key Responsibilities:

Design and Implementation:

<ul>
	<li>Developing network topologies, designing and implementing SD-WAN solutions, and creating network templates.</li>
</ul>

System Engineering:

<ul>
	<li>Performing system engineering services throughout the project lifecycle, including documentation and configuration management. </li>
</ul>

Troubleshooting and Support:

<ul>
	<li>Identifying and resolving network issues, providing technical support, and optimizing network performance. </li>
</ul>

Integration and Testing:

<ul>
	<li>Integrating and testing SD-WAN prototypes in operational environments, working with sponsors to ensure successful deployments. </li>
</ul>

Security:

<ul>
	<li>Ensuring network security principles and access control policies are followed, and addressing security concerns related to SD-WAN. </li>
</ul>

Collaboration:

<ul>
	<li>Working with other teams (e.g., SRE, security) and stakeholders to ensure seamless integration and operation of SD-WAN. </li>
</ul>

Documentation:

<ul>
	<li>Creating and maintaining comprehensive documentation related to network configurations, designs, and best practices. </li>
</ul>

Training and Support:

<ul>
	<li>Providing training and support to operational teams on SD-WAN technologies. </li>
</ul>

Policy Governance:

<ul>
	<li>Ensuring compliance with infrastructure standards and policies. </li>
</ul>

SD WAN Network Engineer

SD-WAN Engineer is responsible for designing, implementing, and managing Software-Defined Wide Area Networks (SD-WAN) to optimize network performance and security across multiple locations. This includes tasks like developing network topologies, implementing SDN solutions, and troubleshooting network issues.

Key Responsibilities:

Design and Implementation:

<ul>
	<li>Developing network topologies, designing and implementing SD-WAN solutions, and creating network templates.</li>
</ul>

System Engineering:

<ul>
	<li>Performing system engineering services throughout the project lifecycle, including documentation and configuration management.</li>
</ul>

Troubleshooting and Support:

<ul>
	<li>Identifying and resolving network issues, providing technical support, and optimizing network performance.</li>
</ul>

Integration and Testing:

<ul>
	<li>Integrating and testing SD-WAN prototypes in operational environments, working with sponsors to ensure successful deployments.</li>
</ul>

Security:

<ul>
	<li>Ensuring network security principles and access control policies are followed, and addressing security concerns related to SD-WAN.</li>
</ul>

Collaboration:

<ul>
	<li>Working with other teams (e.g., SRE, security) and stakeholders to ensure seamless integration and operation of SD-WAN.</li>
</ul>

Documentation:

<ul>
	<li>Creating and maintaining comprehensive documentation related to network configurations, designs, and best practices.</li>
</ul>

Training and Support:

<ul>
	<li>Providing training and support to operational teams on SD-WAN technologies.</li>
</ul>

Policy Governance:

<ul>
	<li>Ensuring compliance with infrastructure standards and policies</li>
</ul>

General Responsibilites:

Responsible for designing, building, and maintaining robust, scalable, and automated cloud-based platforms that enable AI and machine learning capabilities within the organization. The role ensures that the platform supports seamless integration of AI models, DevOps pipelines, and security automation to deliver high-performing, cost-efficient, and future-ready digital solutions.

The engineer will collaborate closely with architects, developers, and data scientists to operationalize AI workloads, automate deployments, and maintain the overall health and scalability of the enterprise platform infrastructure.

 

Duties and responsibilites:

<ul>
	<li>Design, implement, and manage cloud-native platforms (AWS, GCP) that support AI, ML, and DevOps workloads.</li>
	<li>Develop CI/CD and MLOps pipelines for automated deployment, versioning, and monitoring of AI/ML models.</li>
	<li>Implement infrastructure-as-code (Terraform, CloudFormation) to automate provisioning and environment management.</li>
	<li>Build and maintain containerized applications and orchestration systems (Docker, Kubernetes).</li>
	<li>Develop serverless and event-driven architectures for cost optimization and scalability of AI functions.</li>
	<li>Collaborate with AI/ML engineers to deploy and optimize LLMs and AI frameworks such as LangChain and Open WebUI.</li>
	<li>Integrate AI-driven automation into DevSecOps workflows to enhance system security, monitoring, and maintenance.</li>
	<li>Ensure platform reliability, availability, and compliance with security best practices and governance standards.</li>
	<li>Stay up to date with emerging technologies in AI systems, cloud automation, and agentic platforms to enhance platform capabilities</li>
</ul>

Cloud Engineer [GCP]

General Responsibiities:

The Cloud Integration Specialist is responsible for designing, implementing, and managing the integration of cloud-based services with on-premises and third-party systems. This role ensures operational efficiency, reliability, and seamless functionality across hybrid and multi-cloud environments. The ideal candidate brings expertise in cloud architecture, infrastructure automation, and DevOps practices, supporting cloud adoption and enabling infrastructure modernization aligned with business needs.

Duties &amp; Responsibilities: 

<ul>
	<li>Serve as the primary technical liaison for a specific business unit or tribe, translating infrastructure requirements into cloud integration solutions.</li>
	<li>Design and implement integration strategies that ensure scalability, security, and cost-efficiency across hybrid and multi-cloud environments.</li>
	<li>Provide technical support and hands-on execution of infrastructure-related DevOps tasks for high-priority initiatives.</li>
	<li>Lead and manage system integrations and infrastructure deployments, ensuring alignment with enterprise architecture and cloud provider best practices.</li>
	<li>Collaborate with Technical Architects to adopt emerging cloud technologies and enhance existing platforms.</li>
	<li>Participate in request assessment, prioritization, and solution delivery based on SLAs and project timelines.</li>
	<li>Work closely with DevOps teams to execute infrastructure provisioning and automation using Terraform, GitLab, Argo CD, and related CI/CD tools.</li>
	<li>Contribute to continuous improvement initiatives by identifying optimization opportunities in cloud performance, resiliency, and operations.</li>
	<li>Align infrastructure strategies with broader organizational goals, bridging the gap between technical and business requirements.</li>
</ul>

DevOps Cloud Engineer

General Responsibilities: 
 
The Platform Developer will ensure the seamless operation and optimization of data pipelines and platforms under Project Ultron. The role entails troubleshooting data pipeline issues, conducting rigorous testing, coordinating delivery across teams, and collaborating closely with Data Science and Marketing to uphold platform reliability and performance. 
 
Data Pipeline Management 
● Collaborate with the Data Science team to identify, troubleshoot, and resolve data pipeline issues. 
● Conduct thorough end-to-end testing of data pipelines across all environments (development, staging, 
production). 
● Prepare and deliver comprehensive Root Cause Analyses (RCAs) for data-related incidents. 
 
Troubleshooting and Firefighting 
● Maintain proactive communication with the Marketing team throughout the resolution of bugs and hotfixes. 
● Document issues and remediation actions in detailed RCA documentation for transparency and future 
reference. 
 
Delivery Platform Coordination 
● Raise and track prediction data delivery issues across internal and external platforms. 
● Coordinate closely with Marketing, Data Science, and Platform Tech Support teams for resolution and 
alignment. 
● Assist in building and maintaining egress pipelines from Project Ultron to delivery platforms. 
● Promote adherence to platform engineering best practices and documentation standards. 
● Participate in sprint planning and regular stand-ups with cross-functional teams. 
 
Platform Maintenance and Monitoring 
● Support the upkeep and monitoring of Project Ultron’s platform infrastructure. 
● Identify opportunities for performance tuning, reliability enhancements, and availability improvements. 
● Ensures platform integrity, stability, and data delivery continuity across projects. 
● Contribute to the automation of monitoring and maintenance tasks.

Cloud Engineer AWS

Responsibilities:

<ul>
	<li>Design and develop automated test scripts and frameworks for various software applications.</li>
	<li>Collaborate with cross-functional teams to define test requirements and create detailed test plans.</li>
	<li>Leads the defect management process by identifying, logging, and tracking defects; conducts root cause analysis for critical issues and implements preventive measures to reduce future defects</li>
	<li>Ensures that non-functional testing (e.g., performance, security) is planned and executed, and that test data and environments are available and stable, to validate system performance and security under expected loads</li>
	<li>Manages the integration of automated testing and quality gates within CI/CD pipelines, working with DevOps teams to embed continuous testing so that code changes are validated automatically in the delivery process</li>
	<li>Defines and monitors key quality metrics (e.g.. test coverage, defect leakage, test cycle time) and regularly reports testing status to stakeholders. Uses insights from metrics to drive continual improvements in testing processes and tooling</li>
	<li>Promotes a culture of quality by influencing teams to adhere to testing standards and best practices, providing mentorship and technical guidance to junior Quality Engineers, and championing quality initiatives across the organization</li>
</ul>

Automation Engineer

<ul>
	<li class="text-justify">
	Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.
	</li>
	<li class="text-justify">
	Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.
	</li>
	<li class="text-justify">
	Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.
	</li>
	<li class="text-justify">
	Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.
	</li>
	<li class="text-justify">
	Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.
	</li>
	<li class="text-justify">
	Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights
	</li>
</ul>

Data Engineer

<ul>
	<li>Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.</li>
	<li>Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.</li>
	<li>Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.</li>
	<li>Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.</li>
	<li>Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.</li>
	<li>Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights</li>
</ul>

Core responsibilities:

Design and build: Plan, design, and develop cloud-based software, applications, and infrastructure.

Implement and deploy: Deploy cloud resources and applications, and migrate existing on-premises systems to the cloud.

Manage and maintain: Oversee cloud environments, ensuring they are running smoothly, securely, and efficiently.

Optimize and scale: Monitor cloud performance, optimize storage and compute usage, manage costs, and implement scaling strategies.

Ensure security: Implement and maintain security measures, such as access controls and encryption, to protect data and ensure compliance.

Troubleshoot and debug: Identify and resolve technical issues within the cloud environment.

Collaborate: Work with other teams, including development, DevOps, and security, to meet project requirements.

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