Software Engr at Global Sourcing Co

We are looking for a Software Engineer (Cloud/Data) to work remotely anywhere in the Philippines for a Singapore-based client of OTA. For this job we only process candidates that are based in the Philippines and have legal authorization to work in the Philippines.

About the OTA Client

This is a supply-chain technology company that helps global brands and retailers source smarter and sell better. Operating across APAC the U.S. and Europe their mission is to make international sourcing simple data-driven and dependable.

They combine an AI-driven procurement platform with managed services to streamline cross-border trade. The platform covers product specifications supplier vetting production management quality control compliance and end-to-end logistics giving businesses one clear workflow from idea to inventory. This enables faster launches cost savings and consistent quality.

They typically serve DTC brands retailers importers and private-label agencies across categories such as home & living beauty fitness pet and consumer accessories.

Purpose

As a Software Engineer (Cloud/Data) you play a pivotal role in the design development and implementation of various features as well as responsible for maintaining and scaling companys cloud infrastructure and data pipelines. You will collaborate with cross-functional teams to deliver robust scalable and efficient solutions that drive business value. This role requires a blend of software engineering expertise cloud infrastructure knowledge and a strong understanding of data architectures.

We are looking for passionate professionals with a knack for problem-solving who are ready to build from scratch are comfortable with the inherent risks of early-stage startups and display a readiness to learn adapt and grow.

Key Responsibilities

• Collaborating with the product and design teams to understand end-user requirements and use cases and translate them into pragmatic and effective technical solutions.
• Design implement and maintain scalable and secure cloud-basedUpdated 5th Mar 2025 applications and data systems.
• Working on both front-end and back-end frameworks and third-party libraries.
• Develop and optimize ETL/ELT pipelines for real-time and batch data processing.
• Ensure system reliability and performance by implementing best practices for cloud infrastructure and data handling.
• Automate infrastructure provisioning deployment and monitoring using Infrastructure as Code (IaC).
• Optimize data storage retrieval and processing using modern data lake and warehouse solutions.
• Troubleshoot debug and enhance existing cloud and data solutions.
• Stay current with emerging technologies and industry trends to continuously improve processes and systems.
• Enhance application performance using your expert knowledge of Frontend & Backend Frameworks ensuring a seamless user experience.
• Design implement and optimize GenAI-powered applications leveraging LLMs and advanced retrieval techniques.

Required Qualifications

• 5 years of software engineering experience (with several years in cloud infrastructure and data engineering roles). Prior experience as a senior engineer designing cloud architectures and data systems at scale is a plus.
• Extensive experience with our core stack: React Express TypeScript Sequelize & Python
• Excellent problem-solving skills as well as strong understanding of core CS Fundamentals to troubleshoot and optimise performance.
• Cloud Expertise: Proven expertise in Amazon Web Services (AWS) and its ecosystem (EC2 S3 Lambda RDS DynamoDB Cloudformation Cloudwatch SQS SageMaker etc.). Hands-on experience designing and operating AWS-based solutions at scale is essential.
• Containerization & Orchestration: Strong knowledge of Docker and Docker Swarm/Kubernetes with experience managing containerized microservices and clusters in production. Ability to optimize cluster resource usage and troubleshoot deployment issues.

• Distributed Systems: Deep understanding of distributed system design high-availability architectures and cloud networking. Experience building systems that remain performant and resilient under heavy load and at large scale.
• Proficiency in PostgreSQL and SQL skilled in executing migrations and managing complex analytical queriesUpdated 5th Mar 2025
• Data Engineering: Experience orchestrating complex ETL/ELT pipelines on AWS (using tools/services like AWS Glue Step Functions Kinesis or Spark) to handle high-volume data workloads. Familiarity with data warehousing solutions and real-time data streaming is a plus.
• Observability & Debugging: Demonstrated experience with monitoring and logging frameworks. Proficiency in using tools like Grafana Prometheus CloudWatch for debugging and root cause analysis in distributed environments.
• DevOps & Automation: Expertise in DevOps methodologies including CI/CD pipelines and configuration management. Experience with tools like GitHub Actions AWS CDK for deployment automation. Familiarity with Infrastructure as Code tools (Terraform CloudFormation) and configuration management (Ansible Helm) is highly valued.
• Some Experience with GenAI & LLM Architectures familiarity with AI evaluation frameworks to measure model accuracy detect bias and evaluate performance in production and Knowledge of Vector databases (Pinecone PgVector) and graph databases (Neo4j) for advanced RAG use cases.
• Comfortable with ambiguity and ability to navigate within a fast-paced start-up environment flexible quick on your feet and ready to tackle the unknown.

What you can expect from our company

• Your work will directly influence a platform thats set to become a global leader in the tech-driven sourcing sector.
• Accelerate your career with a company thats on the fast track to expanding its influence worldwide.
• An opportunity to work on significant projects and launch them from scratch.
• A fantastic working environment that promotes transparency and relationships.
• A customer-centric culture.
• Competitive rewards and attractive benefits.
• An opportunity to further your career remotely with occasional meetings in Singapore or Hong Kong as needed.