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Join the Global Dev Tools team within the Enterprise Platform Engineering and Operations (EPEO) organization to build and operate the cloud-native platform that powers Ford's Software Development Lifecycle (SDLC).…
In this position.... Ford's connected vehicles send us a constant stream of data: trips, alerts, battery and health signals, and much more. The Connected Vehicle Data Team in GDIA (Global Data Insight &…
Full Time This is for a ONE-YEAR FIXED TERM position with the opportunity for extension based on performance. Multiple Positions will be Filled *Budgeted Range: The Law School’s budgeted pay for or this position is:…
Build and evolve cloud-based APIs and microservices on GCP that power Ford’s connected vehicle ecosystem, using Spring Boot/Java, Cloud Run, Pub/Sub, and CI/CD pipelines.
Position: Senior Python / GCP Data Engineer Location: Remote Employment Type: Full-Time Salary: $2,000–$3,000 USD per month (depending on experience) Working Hours: Must be available during U.S. business hours (Eastern…
A senior data engineer designs and builds scalable data solutions on Google Cloud Platform for customer environments — spanning data architecture and modeling, ETL/ELT pipelines, data lakes, lakehouses and cloud data warehouses, batch and real-time workloads — using Python, SQL, and GCP services like BigQuery, Dataflow, and Cloud Composer.
Freelance Data Platform Engineer for a banking/finance client: secure a multi-region GCP data platform by moving APIs and microservices off the public internet, finalize hybrid GCP-on-premise connectivity, migrate Kafka flows to Cloud Interconnect, and industrialize the network/security stack with Terraform and GitLab CI.
Senior full-stack engineer (80% backend / 20% frontend) modernizing a critical business platform: migrating legacy Siebel processes into Go microservices and cloud-native services on GCP, plus building React/TypeScript internal backoffice tools. Requires AI-augmented development with Claude and GitHub Copilot.
A senior architect role designing and governing enterprise-scale AI/ML and Generative AI systems on Google Cloud Platform. Day to day involves defining AI solution strategy, setting architecture standards, and delivering secure, production-ready systems using LLMs, agentic AI, RAG, MLOps, Vertex AI, BigQuery, and GKE. Onsite in Bristol.
A hands-on Technology Lead/Architect at Zartis consulting, owning the technical direction of AI-powered classifieds/marketplace products for a client. Day to day: writing Java/Spring microservices on GCP serverless (Cloud Run), integrating with the client's existing systems, and mentoring engineers.
Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience…
Build and scale cloud-native APIs and microservices on GCP that power Ford’s connected vehicle ecosystem, using Spring Boot, Java, and DevOps tools like Jenkins and Terraform.
With more than 26 million connected vehicles across the globe, Ford is transforming the future of connected mobility. The Device Connectivity Platform team is at the center of this transformation, building the…
Senior DevOps Engineer designs, deploys, and maintains secure, highly available Kubernetes-based SaaS infrastructure on Google Cloud Platform for enterprise customers.
Senior engineer who designs and operates real-time, event-driven integrations between the company's contact center stack (Monumint, uContact, Loan Management System), internal services, and third-party APIs. Builds Node/TypeScript NestJS services on GCP with Kafka and Postgres, plus MCP servers for AI agents — directing a fleet of AI coding agents to ship weekly.
Build and maintain cloud infrastructure for a mapping app used by millions of outdoor enthusiasts, using Kubernetes, Terraform, and Google Cloud Platform.
Senior Infrastructure Engineer at an early-stage AI startup that deploys a cloud-native reasoning platform into institutional investors' own cloud accounts. Day to day: deploy and harden the platform across AWS, GCP, and Azure, co-own internal and GPU research infrastructure, and build CI/CD, observability, and Terraform-based IaC with GitOps.
Senior Data Engineer who designs and builds reliable, automated, scalable data ingestion and processing pipelines on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub), orchestrated and monitored with Airflow/Cloud Composer. 100% remote within Chile, full-time, with a 3-month initial duration.
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