1 to 25 of 91 Cloud Run Jobs

used by both domain connectors, pair with each domain analyst on their source‐specific extraction builds, and ensure the unified data model in Cloud SQL serves all three reporting lenses – Function, Supervisory Organization, and Job Family – from a single join layer. The successful candidate will combine engineering rigor … domain analysts who own the domain‐specific extraction logic. Key Responsibilities Design and implement the shared GCP native pipeline architecture, establishing the Cloud Dataflow and Cloud Composer pattern that both HR and Finance connectors follow, with pipeline health monitoring, alerting, and audit trail via Cloud ...

Role Title: Senior GCP (Google Cloud Platform) DevSecOps Engineer Duration: contract to run until 31/07/2027 Location: Sheffield. Hybrid 3 days per week onsite Rate: up to £473.80 p/d Umbrella inside IR35 Key responsibilities will include: Build, deploy and manage components … client's GCP foundation platform using Google Cloud services (eg, GKE, BigQuery, Cloud Build, Cloud Run) and automation-first engineering practices. Engineer repeatable platform and security capabilities using Infrastructure as Code (IaC), such as Terraform and/or Config Connector, following established ...

Oracle and JD Edwards customers. We're looking for an experienced Senior GCP Platform Engineer/Architect to design and build the Google Cloud platform that underpins enterprise AI capabilities. This is a hands-on architecture role focused on secure, scalable, production-grade cloud platforms rather … patterns and cloud standards used across multiple enterprise customers. What You'll Be Doing: Design and build enterprise AI platforms on Google Cloud using modern cloud-native services. Architect secure, scalable GCP environments for AI workloads and enterprise ERP integrations. Design container and serverless ...

serves as a senior technical contributor, leading the design, development, integration, and operational support for cloud-native payment solutions hosted on Google Cloud Platform (GCP). The ideal candidate brings strong hands-on experience with GCP services, distributed systems, and modern DevOps practices, while collaborating closely … Responsibilities: Serve as a subject matter expert (SME) for GCP technologies within the Enterprise Payments portfolio Provide hands-on technical leadership for cloud native application development and support Design, build, and maintain highly available, event-driven payment systems on GCP Develop serverless and container-based solutions using Cloud ...

specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Cloud Engineering_Senior GCP DevSecOps Engineer Location: Sheffield -3 days WFO Duration: 30/07/2027 Rate … PAYE through Umbrella) Job Description: Key responsibilities will include: Build, deploy and manage components of the HSBC GCP foundation platform using Google Cloud services (eg, GKE, BigQuery, Cloud Build, Cloud Run) and automation-first engineering practices. Engineer repeatable platform and security capabilities ...

iProov’s DevOps engineering team. This is a senior, dual‐mandate role: the individual is expected to be a credible technical authority on cloud infrastructure, CI/CD, and platform operations, and a genuine people manager who provides clear direction, holds the team accountable, and develops each engineer … with directness and fairness. How you can make an impact Technical Leadership & Platform Ownership Own the architecture, reliability, and evolution of iProov’s cloud infrastructure, CI/CD pipelines, and deployment practices across GCP (primary), AWS, and Azure Set and enforce engineering standards for infrastructure‐as‐code, GitOps ...

They will proactively work with Engineering, Product, IT, and other functional departments to design, implement, and operate our global customer-facing infrastructure on Google Cloud Platform (GCP). The ideal candidate brings strong hands‐on GCP infrastructure and networking expertise, is a self-starter who thrives … 5+ years' experience in 24x7 production operations supporting a highly available SaaS or cloud service environment Strong, hands‐on experience with Google Cloud Platform (GCP)—including GKE, Cloud Run, Cloud Storage, VPC networking, IAM, and GCP‐native monitoring and logging ...

life-changing treatments. They're now looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines … storage systems in BigQuery, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data within BigQuery Build and optimise data ...

Rust, Golang and/or TypeScript. Experience building Backend for Frontend (BFF) services. Experience with React, React Native and Next.js. Experience working with Google Cloud Platform. Experience with Kubernetes, Cloud Run, GitOps and modern deployment practices. Experience using Vercel or similar frontend deployment platforms. … facing platforms. Technology Stack Languages: Rust, Golang, TypeScript Architecture: Microservices, Backend for Frontend (BFF) Frontend: React, React Native, Next.js Cloud & Platform: Google Cloud Platform (GCP), Kubernetes, Cloud Run, GitOps, Vercel Engineering Practices: CI/CD, Automated Testing, Observability, Distributed Systems, AI‐Assisted ...

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services … Candidate Data Privacy Notice. Role : Senior Vendor Software Engineer (Kotlin) DB require two senior, experienced Kotlin engineers to support and extend a cloud‐hosted platform used for bookbuilding issuances across Investment Banking Capital Markets. These roles will join a high‐caliber London front‐office engineering team building ...

therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love … live systems. Experience designing and administering SQL databases - schema design, query performance, and day-to-day operational management. Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...

internal and external consumers; implement and consume LLM APIs where applicable.Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.Document data models, transformation logic … with Python for data transformation, orchestration, or testing.Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs ...