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Senior IT Infrastructure Operations engineer at AppsFlyer in Herzliya: owns and evolves identity (Okta), core SaaS, the GCP-based IT platform, network and endpoint stacks, and builds AI-agent-driven automation for a self-operating IT org. Hands-on architecture, IaC, CI/CD, and LLM-powered internal tooling end-to-end.
Builds 'chat with data' conversational analytics applications: React frontends with chat interfaces, conversation history, and data-visualization views, plus Java backend APIs and BigQuery/SQL for data processing. Works with production practices (Git, CI/CD, monitoring) in close cooperation with AI engineers.
A Senior Data Engineer will design, build, and operate production batch and real-time data pipelines on GCP (BigQuery, Airflow/Cloud Composer, GCS) using Python, SQL, Kafka, and dbt for a global FTSE 100 fintech, supporting analytics, compliance, and AI/ML use cases.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
A confirmed GCP Data Engineer designs and builds batch and real-time data pipelines while helping migrate an on-premise data ecosystem to Google Cloud Platform. The core stack includes BigQuery, Dataform, Dataflow, Cloud Composer, Cloud Run, and Cloud Functions, with a focus on data quality, freshness, and observability.
Builds internal AI agents, data pipelines (BigQuery/Postgres), automation workflows, and internal tools for a performance-marketing agency in Bogotá that is turning into a software company. Core stack: Python, solid SQL, LLM APIs, REST integrations, and cloud deploys with Docker/Cloud Run/Cloudflare.
Lead data engineer who takes technical ownership of a Google Cloud data ecosystem (BigQuery, Dataflow, Pub/Sub, Composer, Terraform) powering analytics, ML, and commercial decisions for a multinational consumer brand, while mentoring engineers and introducing AI-assisted tooling.
Data Engineer on SEB Asset Management's Data & Integration team, building a new GCP cloud data platform and warehouse for fund and portfolio services — developing pipelines and integrations, delivering business-critical and regulatory data, plus technical design, code reviews, and coaching. Stack: BigQuery, Dataflow, Cloud Run, Pub/Sub, Airflow, SQL, Python, DBT.
Backend developer who designs, builds, and evolves scalable cloud-based backend services using Node.js, TypeScript, MongoDB/NoSQL, and serverless architectures on Google Cloud Platform, developing and integrating REST APIs within agile, multidisciplinary teams. 100% remote role with negotiable salary.
Build and deploy production-grade AI agents for enterprise sales coaching, using Python, agentic frameworks, and rigorous evaluation to improve real-time conversation simulations.
DevOps Engineer on Black Duck's Cloud Operations team, building and operating secure, scalable SaaS and hosted infrastructure on Google Cloud Platform. Day to day involves infrastructure-as-code, CI/CD/GitOps, Kubernetes deployments, monitoring, on-call support, and leveraging AI tools to automate tasks.
Morrisons is hiring a DevOps-focused data engineer in Bradford to advance its data strategy: provisioning and securing GCP infrastructure with Terraform, building automated ETL/ELT pipelines into BigQuery, managing CI/CD with Jenkins, and optimizing cost, monitoring, and performance to power Looker dashboards and BI/AI tooling.
En Verti Seguros seguimos apostando fuerte por los datos, la analítica avanzada y la inteligencia artificial como palancas clave del negocio. Buscamos incorporar un/a Data Engineer Senior para formar parte de nuestro…
We are Farmers – where ambition meets opportunity. At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of…
A Google Cloud Platform solution architect who designs end-to-end cloud architectures, leads on-prem-to-GCP migrations, and sets governance and security standards while guiding dev teams. Day-to-day work centers on GCP services, Terraform IaC, Docker/Kubernetes, and CI/CD pipelines.
Capgemini is hiring a GCP IAM Specialist in Pune to design, implement, and govern identity and access management across its Google Cloud estate, build cloud-native tooling on Cloud Run/Cloud Functions/Pub/Sub, and enforce policy-as-code with Terraform. Requires 9+ years total technical experience, including 5+ years of hands-on GCP IAM work.
Capgemini is hiring a Lead AI Engineer in London to design, build, and operationalise enterprise-scale AI/ML and Generative AI systems — RAG pipelines, agentic workflows (LangChain, LlamaIndex, ADK), and MLOps on Azure, GCP, or AWS — leading multi-disciplinary teams and taking AI solutions from prototype to production in client-facing consulting engagements.
An AI Developer at Capgemini Invent in Warsaw designs, builds, and deploys production-ready AI/ML and generative AI solutions on Google Cloud Platform using Vertex AI, BigQuery ML, Document AI, and Gemini API. Day to day they own end-to-end ML pipelines (ingestion, feature engineering, training, evaluation, serving) with MLOps practices like versioning, monitoring, and responsible AI.
Capgemini is hiring an AI Lead Architect/Engineer in Aguascalientes to own the end-to-end technical vision of a 12-week PoC building an agentic AI data quality platform on GCP for the IHG client — defining architecture across AI, data, backend, and frontend tracks, leading reviews, and producing migration plans. Core stack: GCP (BigQuery, Cloud Run, Vertex AI/Gemini), multi-agent LLM orchestration
Capgemini is hiring a GCP Architect in Aguascalientes, Mexico, to design scalable, secure solutions on Google Cloud, lead cloud migration/modernization projects, and drive DevOps, IaC (Terraform), data/analytics (BigQuery), and AI/ML (Vertex AI) work while mentoring engineers and supporting clients. Deep GCP expertise is essential; the Professional Cloud Architect certification is mandatory/highly
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