Total 145 procurement engineer job vacancies in Engineering category in Lapu-Lapu City

We are seeking a skilled and dedicated Duty Engineer to join our team in Lapu-Lapu City, Philippines. As a Duty Engineer, you will play a crucial role in maintaining the efficient operation of our facility's engineering systems and equipment. Your key responsibilities will include:

• Coordinate daily engineering operations, including staff briefings and work assignments
• Manage planned and unplanned maintenance programs for various systems, including air-conditioning, electrical, refrigeration, and fire & life safety equipment
• Supervise team members, ensuring safe work practices and efficient operations
• Monitor and manage contractor work, ensuring compliance with health and safety policies
• Prepare consumption reports on power, water, steam, and gas
• Develop and maintain staff training programs, including induction for new employees
• Create weekly staff schedules and conduct performance reviews
• Ensure compliance with hotel fire & life safety and emergency procedures
• Maintain high standards of personal appearance and adhere to hotel policies

Octal Philippines Inc. is looking for a skilled Site Reliability Engineer (SRE) to join our dynamic team. The SRE will be responsible for ensuring that our systems are reliable, scalable, and efficient. You will play a critical role in maintaining the uptime of our services, improving system performance, and automating processes to enhance productivity. The ideal candidate is a passionate technologist who thrives in a fast-paced environment and enjoys tackling complex challenges.

Responsibilities:

• Monitor and maintain the reliability and availability of production systems
• Implement automation to reduce operational toil and improve system reliability
• Identify and resolve performance issues and outages
• Collaborate with development teams to design scalable and robust systems
• Create and maintain SRE documentation and runbooks
• Participate in on-call rotation and incident response activities
• Continuously improve tooling and processes to enhance the efficiency of operations

• Bachelor's degree in Computer Science, Engineering, or related field
• At least 3 years of experience in a Site Reliability Engineering or related role
• Strong experience with cloud platforms such as AWS, Azure, or GCP
• Proficiency in scripting and programming languages (e.g., Python, Go, Bash)
• Experience with containerization and orchestration technologies like Docker and Kubernetes
• Strong understanding of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
• Excellent troubleshooting and analytical skills
• Ability to work collaboratively in a team-oriented, fast-paced environment

Responsibilities:

• Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience.

• Proven experience in a Site Reliability Engineer or similar role, with a focus on designing and implementing scalable systems.

• Strong proficiency in programming languages, scripting and automation (Java, ReactJS, etc.).

• Experience with cloud platforms such as AWS, Azure, or GCP, and container orchestration tools like Kubernetes.

• Deep understanding of networking, system administration, Windows, and Linux/Unix-based environments.

• Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.

• Strong communication skills and the ability to work effectively in a collaborative team environment and to stakeholders

Communication Allowance, Health & Life Insurance & Others

As a member of the EUS Workstation Vulnerability Remediation team, Sr. Systems Engineer will report to the Manager – Endpoint Vulnerability Remediation and will be responsible for day to day operational support with timely rollout of security patches, ensuring 100% compliance, drive and implement automation efforts on both Windows and Mac environment.

Essential Functions:

• Create software packages utilizing Bigfix, JAMF and SCCM
• Understands, follows and implements best practice methodologies for monthly OS patching and vulnerability remediations of 3rd party software’s in the environment.
• Design and implement automated solution that take advantage of technology advances, allow cost reduction, standardization and commoditization.
• Drive innovation and collaboration with Operations partners globally to reduce redundant work and improve efficiency.
• Improve processes and support methodologies by assessing need and requirements.
• Manage, triage and drive resolution of Operations escalations. Be predictive, and drive reduction of those same escalations.
•  Act as the point person for Exception Management/requests
• Willing to cover and support U.S. business timings extensively

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Shift Assignment: Mid Shift

The Site Reliability Engineer (Systems Engineer) works In the Infrastructure Operations team and closely Interacts with development, cloud platform engineering and architecture teams to run and operate cloud-native, DevOps delivered, highly scalable and fault tolerant systems and services. The SRE Engineer ensures that internally and externally facing systems meet and exceed ambitious SLOs (Service Level Objectives) and are continuously improved. This includes deployments and monitoring of all systems through established tools. The incumbent is an intellectually curious passionate technologist up to date with technology trends in the industry, equally relishing challenges to optimize existing systems and services, and challenges to introduce modern technologies. They will execute, monitor, and assist in the continuous improvement of the operational running of our services. The incumbent will execute operations and engineering projects and provide support for and administration of all DevSecOps tools, cloud automation, critical business applications and platforms, and associated systems to build and run software in the cloud.

• Provides guidance to engineering and operations teams on enabling and managing end to end availability and performance of mission critical services.
• Executes established automation for
• Participates in incident response, root cause/postmortem analysis, and drives production improvements for key issues that result in business opportunity for Arch.
• Works on building configuration automation to eliminate waste and manual/repetitive tasks, prevent problem recurrence, and to respond to various service alerts and condition metrics.
• Supports Kubernetes deployments in Azure, including cluster management, upgrades, security policies, application deployment with Argo CD using git and harness pipelines to deploy in collaboration with engineering and development teams.
• Supports DevSecOps tools, pipeline, automation, and infrastructure-as-code scripts and continuously monitors the industry landscape to improve and expand to further speed to market and delivery team autonomy.
• Knows security is job one and includes security in all plans.
• Implements, executes and manages Configuration as Code automation
• Executes tasks aligned to projects in the operations space (upgrades, rollouts of technology, )
• Promotes a continuous improvement, innovation, and collaboration culture across
• Builds and strengthens relationships and partnerships with corporate infrastructure leads and
• Perform other operational duties as required.

• Conducts safety inspection of the kitchen, public area, guest room, stores and preventive maintenance, breakdown repair and constructive works.
• Proposes and recommends upgrading, improvement work and energy saving projects.
• Ensures efficient engineering operation is being met, and quality standard is maintained.

Shift Assignment: Mid Shift

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth. This position is responsible for assisting with the design and execution of automated diagnostic test plans to ensure that our services meet the highest quality standards and business requirements. Other tasks include developing and running new tests, reporting on the results and collaborating with other engineers to diagnose and fix issues. This role is for an individual that is attentive to detail and open to exploring and implementing new technology and processes to improve the QA process.

• Performs test planning activities as required.
• Creates and modifies test data.
• Creates and modifies test cases.
• Automation Testing – Set up and maintain automation tests and be involved with CI CD. 
• Executes test cases recursively and record/communicate results.
• Works with Agile team and stakeholders to communicate defect information

Shift Assignment: Mid Shift

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Shift Assignment: Mid Shift

The Data Visualization Developer is responsible for design, construction and unit testing of assigned components/modules.  The candidate will collaborate with Business Analysts and SMEs to perform detailed requirement analysis.  The candidate will provide production implementation and post-production support and be part of the US IT team.

• Provide expertise in design, development and implementation of PowerBI reports
• Design, model and develop BI reporting and analysis applications
• Provide functional and technical guidance to business teams when needed
• Conduct meetings with business users to determine project requirements and milestones
• Develop knowledge on business intelligence skills and processes
• Develop best practices to achieve project objectives and deliverables
• Develop positive working relationship with business users and other department staff
• Stay updated with ongoing business development tools
• Responsible for any other ad hoc duties assigned

Shift assignment: Mid Shift

The Software Engineer is responsible for the development, implementation and maintenance of solutions within the General Insurance Team. Working within an Agile environment the ideal candidate will be skilled in C#, HTML/CSS, Javascript, SQL (Microsoft and/or Snowflake SQL). Experience of Angular or other web frontend frameworks is nice to have.

The candidate will perform analysis, design, coding, debugging, testing, and support of solutions, utilising innovative applications in DevOps projects, models for complex systems and Enterprise integration.

The candidate will also be responsible for developing and maintaining web applications, API’s and ensure code is developed/maintained configured using the various build tools available from DevOps.

• Design, develop and maintain scalable, automated, derived / or non-derived, insightful data-marts and tables which will be the main input for the models, reports and dashboards
• Working within an Agile environment, within 3-week sprints, delivering quality code or data enhancements and reports for different departments.
• From User Stories, look to provide accurate and timely data, that is trusted and understood by the business.
• Obtaining, transforming and maintaining large quantities of data.
• Solving data quality issues, providing data lineage from source.
• Focus on building and improving a web based application in asp.net and design innovative solutions using .Net.
• Utilising the full Microsoft stack, enable the end user to fully understand the data delivered that allows full transparency back to the various source systems.
• Document all changes that have taken place, including commentary within the source code.
• Keep team and APM apprised of progress
• Coordinate with APM and Enterprise Architect to adhere to Enterprise Architecture principles, software development best practices, coding, compliance and security standards
• Work on performance tuning, code optimisation, refactoring, automation and CI/CD implementation
• Offer suggestions to stakeholders on devising effective and efficient approaches to achieve business objectives
• Manage engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them
• Liaise with other teams to coordinate interdependencies and resolve issues
• Supports the resolution of in-depth user questions and production issues following support process and SLA’s
• Maintain a working knowledge of new technology and software engineering standards, practices and tools
• Provide input to the APM and DPM for the creation of Product Roadmap and High Level Estimates
• Review code, designs and other technical documentation prepared by other members of the team.
• Provide tech leadership and guidance to junior members of the team.
• Collaborate with IT management to define and develop documentation and engineering artefact standards, guidelines, processes, and templates
• Positive and self-motivated with a high level of enthusiasm and willingness to learn and self-teach new and advance software functions

Shift assignment: Night Shift

The QA Engineer II is responsible for testing of all software product changes.  The incumbent partners with internal and external stakeholders to ensure products conform to the desired quality standard.  This role requires technical skills and a high degree of problem solving skills.  The individual will be expected to actively contribute towards the team and organizational goal of continuous process improvement.  This role requires strong communication skills and the ability to work well with others.  This role will focus on configuring and setting up test automation.

1. Soft Skills

• 1. Ability to work well under pressure.
• 2. Ability to work well with others.
• 3. Ability to be flexible and adapt to changes quickly.

2. System Analysis

• 1. Learns and maintains knowledge of the business applications for the products being tested.
• 2. Follows software testing corporate standards.
• 3. Keeps stakeholders updated with testing status.
• 4. Maintains test scenarios and test cases.

3. Test Planning and Execution

• 1. Performs test planning activities as required.
• 2. Creates and modifies test cases.
• 3. Creates and modifies test data.
• 4. Executes test cases and records results in test management system.
• 5. Automation Testing – Set up and maintain automation tests and be involved with CI CD.

4. Defect Management

• 1. Identifies software defects.
• 2. Creates and manages assigned defects in defect management system.
• 3. Determines defect severity based upon corporate standards.
• 4. Works with Agile team and stakeholders to communicate defect information.
• 5. Retests defect when issue has been resolved.
• 6. Provides additional documentation to software engineers as required

Shift Assignment: Mid Shift

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This primarily includes working Azure Logic Apps and Document Intelligence. As a key member of the Strategic Analytics team, you will support the implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams. 

• Develop and maintain Azure Logic Apps and APIs
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for monitoring, performance, and best practices
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Code deployment using GitHub
• Collaborate with project stakeholders and other developers
• Collaborate with data scientists to implement predictive models and analytic solutions
• Document technical workflows and monitoring processes
• Contribute and enforce evolving best standards and practices

Shift Assignment: Mid Shift

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster.  

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster.  

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Shift Assignment: Night Shift

The Senior Systems Engineer will be part of a remote team responsible for building and maintaining Arch's IT infrastructure as we move from private data centers to the hybrid cloud. The engineer will build, deploy or fine-tune Microsoft Azure and AWS services for internal customers around the globe. The engineer will also build, deploy and maintain compute and storage platforms in our on-premise data centers.

• Build and maintain systems infrastructure in the private data center and public cloud.
• Migrate services from private data centers to public cloud.
• Design and implement a variety of Azure-based solutions using cloud automation
frameworks (Terraform, GitHub) and manually.
• Responsible for compute, storage, and data protection platforms in multiple data centers.
• Automation of system processes, day-to-day tasks, and customer requests.
• Patch storage and compute systems for stability and increased security.

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

We are looking for a senior level Infrastructure Database Administrator who will be part of the Infrastructure Operations team managing and maintaining the server and database infrastructure. Including but not limited to operational projects of migration and optimization of databases on prem as well as on the cloud.

Responsibilities:

• SQL Server upgrades/migrations
• Performance Tuning – review critical databases and improve the performance including indexing, SQL tuning
• Database Jobs Schedules – migrate all database jobs to JAMS centralized enterprise scheduling
• Monitoring and Alerting – setup database monitoring, adjust thresholds and alerting
• Database health checks
• Database Re-orgs
• New product/application support activities
• Database automation – automating database tasks
• Database DevOps – identify tools to include database deployments through CI/CD pipelines
• Database version control – ensure the database across all the environments are in synch
• Disaster Recovery – Test and Validate database recovery mechanisms and support DR testing
• Creation and management of databases in on-prem servers, cloud servers and cloud manage instances.
• Documentation
• On-Call rotation
• Knowledge of SQL Server, Oracle, Postgress, MongoDB

Job Description

The Job

In this role, you will transform proof-of-concept AI/ML projects into full-scale production applications. You will leverage your software development, data and foundational AI/ML knowledge to develop robust, scalable solutions that enhance our services and drive QIMA towards further excellence.

If you love working on the practical application of AI/ML, transforming innovative ideas into reliable systems, and collaborating with cross-functional and international teams, we invite you to be a key player in our team's success!

Key Responsibilities:

• AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions
• Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
• Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models.
• System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
• Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability.
• Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development.
• Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.
• Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting post-implementation follow-up to support users and address any issues.

Product background required. Relocate to Quezon City, Philippines - Relocation Assistance Provided

Job Description:

As a Sr. Backend Engineer, you will be a crucial part of our engineering team, responsible for designing, developing, and maintaining the back end components of our agri-tech platform and applications. The objectives being to lower financing and agri-inputs costs for farmers while stabilizing prices by developing the following:

1. AI based credit score system based on farmer transactional data
2. AI based price forecasting system based on supply and demand data at the trading posts and other sources
3. Agri-inputs online marketplace 
4. Fresh produce online marketplace
5. Fresh produce planting recommendation engine based on supply data to implement crop programming and minimize price  volatility.

You will work closely with our frontend engineers, product managers, and other stakeholders to deliver industry leading and innovative software solutions.

Key Responsibilities:

• Backend Development: Design, develop, and maintain server-side applications and APIs using Node.js and Adonis.js.
• Database Management: Work with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) to store and retrieve data
• efficiently.
• API Integration: Integrate third-party APIs and services into our applications to extend functionality.
• Scalability: Build and optimize backend systems to ensure scalability, performance, and responsiveness.
• Security: Implement security best practices to protect user data and application assets.
• Code Quality: Write clean, maintainable, and well-documented code following coding standards and best practices.
• Testing: Develop and execute unit tests, integration tests, and end-to-end tests to ensure code quality.
• Collaboration: Collaborate with frontend engineers, product managers, and cross-functional teams to define APIs and deliver 
• features.
• Monitoring and Debugging: Implement monitoring and logging solutions to identify and resolve issues proactively.
• Documentation: Create and maintain technical documentation for backend systems and APIs.
• Continuous Improvement: Stay up-to-date with backend technologies and recommend improvements to enhance 
• development processes.

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
• At least 5 years of experience working as a Backend Engineer, with a focus on Node.js and Adonis.js.
• Strong proficiency in JavaScript and TypeScript.
• Experience with artificial intelligence (AI) preferably in the agricultural sector.
• Experience with database design and management, including SQL and NoSQL databases.
• Familiarity with RESTful API design and development.
• Knowledge of software architecture patterns, such as MVC and microservices.
• Understanding of version control systems (e.g., Git) and code collaboration platforms (e.g., GitHub).
• Experience with testing frameworks and methodologies (e.g., Jest, Mocha).
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills to collaborate effectively with cross-functional teams.
• Familiarity with DevOps practices and cloud platforms (e.g., AWS, Azure) is a plus.

• Opportunity to work on innovative and game-changing projects that make a real impact.
• A collaborative and innovative work environment.
• Competitive compensation and benefits package.
• Ongoing opportunities for professional growth and development.
• Additional perks, such as flexible work hours, hybrid work options, etc.