Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain Kubernetes-based infrastructure, CI/CD pipelines, and observability tooling to support 100–150 engineers, using AWS, Terraform, Python, and GitLab CI.
Lead a DevOps team to build and maintain CI/CD pipelines for containerized and serverless microservices on AWS, ensuring scalable deployments across mobile, desktop, and wearable platforms.
Build and maintain scalable backend services and RESTful APIs using PHP and Laravel, troubleshoot production issues, and optimize system performance for high-availability web apps.
Build and maintain Java-based microservices using Spring Boot and AWS, focusing on scalability and system performance within a DevOps-driven product team.
Lead AWS cloud engineer building and maintaining EKS clusters, ETL pipelines, and monitoring for JPMorgan’s Market Data Distribution program using Terraform, Docker, and AWS services.
Build and optimize AWS-based ETL pipelines using Glue, PySpark, and EMR Serverless to migrate and transform large datasets for a tech-sector client.
Senior Data Engineer building and optimizing AWS and Databricks pipelines for JPMorgan Chase, focusing on scalable ETL, Spark/Databricks, and cloud cost governance.
Build and optimize AWS Glue/PySpark ETL pipelines for large-scale data migration and transformation, enforce technical standards, and review code in a cloud-native data platform.
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.
Build and enhance cloud-native full stack apps using Node.js, React, and AWS serverless services like Lambda and DynamoDB.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Designs and operates cloud-native data infrastructure on AWS (EKS, RDS), automating pipelines and ensuring performance, availability, and scalability for production databases.
Build and maintain full-stack JavaScript apps using Node.js, Angular, and AWS services like Lambda and EKS, while collaborating with cross-functional teams.
Build and optimize full-stack features using Node.js, Angular, and AWS services like Lambda and EKS, while ensuring clean code and scalable event-driven architectures.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
You design, build, and optimize cloud data pipelines on Google Cloud Platform for enterprise clients, using Scala, Python, and SQL to ingest, transform, and prepare data for analytics and AI workloads.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
Build and secure cloud-native AI/ML pipelines on AWS for an aerospace group’s data factory, automating CI/CD, enforcing DevSecOps, and operating Kubernetes clusters.
We couldn't check your fit for this role — add a CV to your profile to see it next time.