Tech jobs
Job listings
Senior Data Engineer - Data Lakehouse
Build and own a vendor-neutral lakehouse using Apache Iceberg, Flink, Spark, and ClickHouse; design pipelines, models, and governance for a fast-growing platform.
Senior Data Engineer
Design and build scalable ETL pipelines on AWS using PySpark, Glue, and Step Functions to transform and move data for enterprise clients across finance, healthcare, retail, and travel.
Sr AWS Data Engineer
Senior AWS Data Engineer designs and implements end-to-end data pipelines for clients using AWS Glue, PySpark, and Terraform, while leading architecture discussions and ensuring data quality and security.
Data Engineering Tech Lead
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern cloud data platform (Snowflake/Databricks) to power analytics and reporting for a MAS-licensed fintech bridging fiat and digital payments.
Senior Software Engineer, Platform (Backend-Focused)
Build and maintain backend integrations and APIs for a stablecoin-powered fintech platform, using Node.js/TypeScript and AWS while leveraging AI tools for development.
Golang Backend Engineer – CRM & AI-Driven Platforms
Builds and maintains CRM systems and workflow engines in Go, integrating ticketing, rule engines, and Kafka-based pipelines for a global trading platform.
Lead Data Scientist
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Senior Data Engineer
Designs and maintains serverless AWS data pipelines (Lambda, S3, SQS, EventBridge) and CloudFormation IaC, builds Athena datasets for analytics, and creates QuickSight dashboards including SOX compliance reports.
Data Engineer (Cloud)
Design and build scalable cloud data pipelines and warehouses using Azure, Databricks, and PySpark to turn raw data into trusted analytics-ready datasets for AI and BI.
Lead data engineer
Lead a team of data engineers to build and maintain scalable data pipelines and cloud infrastructure, ensuring clean, trustworthy data for analytics and AI-driven workflows.
Azure Data Engineer
Builds and maintains Azure-based data pipelines for a bank using Databricks, PySpark, and Kafka to ingest, process, and report on financial data in real time.
Machine Learning Engineer (Mid)
Build and deploy production ML systems: design pipelines, orchestrate with Airflow, and maintain scalable models for fraud detection, automation, and customer insights.
Senior Backend Engineer: Core API & AI Automation (Remote)
Builds and optimizes Camunda’s event-sourced workflow engine, ensuring data integrity and enabling AI agents to integrate with the automation platform.
Senior AI Engineer
Senior AI Engineer builds and deploys secure, governed AI solutions on Microsoft Azure, including agents, RAG systems, and vector search, while ensuring compliance and responsible AI practices for a large federal government program.
AI Engineer
Build and deploy AI agents, RAG systems, and intelligent apps using Azure OpenAI, Python, and agent frameworks. Integrate AI with departmental systems and ensure governance.
AI Engineer – Agentic AI & Engineering Transformation
Design and implement AI agents and RAG systems to automate software engineering tasks like code review, testing, and documentation, driving measurable productivity gains across the SDLC.
Salesforce Data Cloud Engineer
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
GCP Data Engineer/Modeller - BigQuery Analytics
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
AI Engineer
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.