Tech jobs
Job listings
DevOps Engineer(Blockchain Infra)
Build and operate cloud-native infrastructure for blockchain services, automating Kubernetes clusters, CI/CD pipelines, and observability across AWS/GCP/Azure using Terraform, Golang, and Python.
Senior AI Engineer
Design and deploy AI/ML models (LLMs, GenAI, CV) and agentic systems for clients, using Python, TensorFlow/PyTorch, and cloud platforms.
AI Product Manager
Own and deliver conversational AI voicebots using Google Dialogflow for a Philippine fintech lender, leading cross-functional teams and aligning with operations and CRM stakeholders.
Back End Developer
Builds and maintains Java/Spring Boot back-end services, REST APIs, and microservices for an advertising technology platform.
Senior Software Engineer
Builds and maintains scalable platforms, designing APIs and services while working across frontend and backend stacks using modern tools like React, AWS, and Docker.
[Job -30256] Senior Data Engineer | (Spark + Databricks) Hybrid Setup
Build and maintain scalable data pipelines and ETL workflows using Spark, Databricks, and cloud platforms to ensure reliable, high-quality data for analytics and decision-making.
APAC Data Architect - AWS Cloud Data & AI Solutions Lead
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Big Data Engineer AWS, Spark & Kafka | Flexible Pay
Build and optimize a corporate data lake using AWS, Spark, Kafka, and Iceberg/Delta Lake to ensure scalable, high-performance data processing.
AI Cloud Engineer
Design and automate cloud infrastructure for AI workloads on AWS and GCP, deploy models via CI/CD, and monitor performance and security.
Cloud Data Engineer - SAP HANA DP Administration
Designs, deploys, and maintains scalable cloud databases using SAP HANA, Kafka, and Kubernetes, automating with Ansible/Terraform and supporting 24/7 operations.
Remote Big Data Engineer — Spark, Hadoop, Scale
Designs and maintains scalable big-data platforms using Hadoop, Spark, NiFi, and Kafka to process and structure global data streams on Linux clusters.
Real-Time Data Engineer - Remote & Flexible Growth
Builds real-time data pipelines using Kafka and Spark, designing Kappa/Lambda architectures for a global analytics team.
Senior Data Engineer (Kafka / Hybrid 2x a week onsite)
Build and maintain scalable data pipelines and real-time processing using Kafka, Databricks, Spark, and Airflow to power gaming, sportsbook, payments, and marketing systems.
Hybrid Data Architect: Scalable Data Lakes & AI Pipelines
Designs and builds scalable data lakes and AI pipelines in SQL, Python, Spark, and Kafka to support analytics and governance in a hybrid Mandaluyong setup.
Real-Time Data Engineer: Cloud & On-Prem Pipelines
Designs and builds real-time data pipelines on cloud and on-prem systems using Kafka and other integration tools to move and process structured and unstructured data.
Senior Data Engineer (PySpark, Kafka, GCP)
Build and optimize batch and real-time data pipelines using PySpark, Kafka, and GCP tools like BigQuery and Dataproc for large-scale data processing.
Lead Data Engineer: Mentor Teams & Build Cloud Pipelines
Lead a team to design and build cloud-based data pipelines using Spark, Kafka, Airflow, and DBT for analytics across APAC.
Senior Data Engineer - PySpark, Kafka & Real-Time Pipelines
Design and optimize real-time and batch data pipelines using PySpark, Spark SQL, and Kafka to enable scalable analytics and data architectures.
Senior Data Engineer – Real-Time Data Pipelines (Remote)
Build and maintain scalable real-time data pipelines using Databricks, Kafka, and AWS for an offshore team supporting global clients.
Big Data Engineer
Design and build end-to-end big-data pipelines using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to process and store data at scale.