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Remote DevOps Engineer who designs, automates, and manages scalable cloud infrastructure on AWS, Azure, or GCP. Day to day: building CI/CD pipelines, writing Infrastructure as Code (Terraform), running Docker/Kubernetes environments, and keeping production systems secure, monitored, and highly available.
Fully remote DevOps Engineer who designs, automates, and maintains scalable cloud infrastructure and CI/CD pipelines on AWS, Azure, or GCP for enterprise/SaaS environments. Day-to-day work centers on Terraform IaC, Docker/Kubernetes, monitoring, and secure, reliable production deployments.
Remote contract Business Intelligence Engineer supporting U.S.-based clients via a staffing firm: design data models and ETL/ELT pipelines, optimize SQL, and build executive dashboards on cloud data platforms (Snowflake, Redshift, BigQuery, Databricks) using tools like Power BI, Tableau, or Looker.
Remote contract Data Engineer who designs, builds, and maintains ETL/ELT data pipelines and cloud data warehouse models, integrating data from APIs, databases, and third-party tools. Core stack: SQL, Python, cloud platforms (AWS/Azure/GCP), and tools like Airflow, dbt, and Spark.
Remote AI Data Engineer designing and building production-grade data pipelines (ingestion, transformation, feature engineering) that power ML training, evaluation, and real-time inference. Core stack: Python, SQL, Spark/Databricks, Airflow orchestration, and AWS/Azure/GCP cloud environments.
Remote Cloud Data Engineer designing and optimizing modern data platforms on Snowflake and/or Databricks: building scalable ETL/ELT pipelines, data models, and orchestration workflows (Airflow) in AWS, Azure, or GCP using strong SQL and Python, while supporting analytics, BI, and engineering teams with reliable, secure datasets.
Remote backend engineer designing scalable, high-performance APIs, microservices, and event-driven systems using Python, Node.js, Java, or Go. Day to day involves database schema design and SQL optimization, cloud/CI-CD integration, security and performance tuning, and collaboration with frontend, DevOps, and product teams.
Remote QA Automation Engineer who designs and maintains automated test frameworks for web apps and APIs, builds regression/smoke/integration suites, and wires tests into CI/CD pipelines. Core stack includes Selenium/Cypress/Playwright, scripting in JavaScript/Python/Java, Postman API testing, Git, and SQL.
Remote machine learning engineer role focused on moving models from experimentation into production: building scalable real-time and batch inference systems, containerized deployment pipelines with CI/CD, and monitoring/retraining workflows on AWS, Azure, or GCP. Requires 4+ years of applied ML engineering with strong Python.