13 of 13 Cloud Run Jobs in Slough

design, development, and deployment of GCP-based solutions. This position requires a highly skilled individual with expertise in cloud architecture, infrastructure management, and application development using Google Cloud technologies. The role involves collaborating with cross-functional teams to deliver scalable and efficient cloud solutions that meet business requirements. Key Responsibilities Lead the design and … implementation of GCP-based solutions. Collaborate with cross function teams to define cloud architecture and infrastructure requirements. Ensure best practices in cloud security, compliance, and governance. Optimize performance, scalability, and cost-effectiveness of GCP deployments. Manage cloud infrastructure and automation using tools such as Terraform and Kubernetes. Provide technical guidance and mentorship to development … teams. Monitor and troubleshoot cloud infrastructure to ensure high availability and reliability. Stay updated with the latest GCP features and advancements to leverage new technologies. Conduct code reviews and enforce coding standards. Document technical designs, procedures, and processes. Qualifications Bachelor’s or master’s degree in computer science, Engineering. Proven experience in GCP product/technologies. Demonstrated ability More ❯

handle the demands of training cutting-edge AI models and serving millions of inference requests globally. Key responsibilities include: Architecting and managing our cloud environment on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) with Terraform . Designing, building, and maintaining our CI/CD pipelines using GitHub Actions to ensure smooth and reliable software … delivery. Containerizing applications with Docker and deploying them as microservices on serverless platforms like Google Cloud Run and orchestrators like GKE. Writing automation scripts and infrastructure-related code, primarily in Python . Ensuring the high availability, performance, and security of our production systems that support everything from data processing to model deployment. Collaborating closely with AI … of experience in a Cloud Infrastructure, DevOps, or Site Reliability Engineering (SRE) role. Strong proficiency with Python for scripting and automation. Extensive hands-on experience with Google Cloud Platform (GCP) and its core services (Cloud Run, GKE, IAM, Cloud Storage). Expertise in writing production-grade Infrastructure as Code using More ❯

and hybrid search. Implement evaluation framework for search quality and answer accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME teams to refine … in testing, secure data handling (NHS DSPT), and GDPR compliance. Tech you’ll use Python, FastAPI, LangChain/LlamaIndex, PostgreSQL + PGVector, Redis, Pinecone/Weaviate, Vertex AI, Cloud Run, Docker, Terraform, Prometheus/Grafana, GitHub Actions What we’re looking for Master’s degree in Computer Science, Software Engineering, or related field; or equivalent practical More ❯

our NoSQL databases (MongoDB) and caching layers (Redis) to ensure low latency and high availability for all HUB services. Developing and maintaining our cloud infrastructure on Google Cloud Platform (GCP) using Terraform for Infrastructure as Code. Deploying and scaling applications using containerization with Docker and serverless platforms like Google Cloud Run. Implementing and managing … with NoSQL databases, specifically MongoDB , and in-memory data stores like Redis . Deep understanding of containerization with Docker and orchestration with Kubernetes . Proven experience with major cloud platforms ( GCP is a strong plus) and serverless architectures like Cloud Run . Proficiency with Infrastructure as Code ( Terraform ) and building automated CI/CD More ❯

our NoSQL databases (MongoDB) and caching layers (Redis) to ensure low latency and high availability for all HUB services. Developing and maintaining our cloud infrastructure on Google Cloud Platform (GCP) using Terraform for Infrastructure as Code. Deploying and scaling applications using containerization with Docker and serverless platforms like Google Cloud Run. Implementing and managing … with NoSQL databases, specifically MongoDB , and in-memory data stores like Redis . Deep understanding of containerization with Docker and orchestration with Kubernetes . Proven experience with major cloud platforms ( GCP is a strong plus) and serverless architectures like Cloud Run . Proficiency with Infrastructure as Code ( Terraform ) and building automated CI/CD More ❯

like PGVector, Pinecone, or Weaviate Design embedding orchestration and hybrid retrieval mechanisms Implement evaluation frameworks (BLEU, ROUGE, hallucination checks) to monitor answer quality Deploy production systems on GCP (Cloud Run, Vertex AI, BigQuery, Pub/Sub) Own observability, IaC (Terraform), and CI/CD (GitHub Actions) pipelines Collaborate with product, mobile, and clinical experts to ship More ❯

scalable infrastructure for retrieval and vector search (PGVector, Pinecone, Weaviate) Design evaluation frameworks to improve search accuracy and reduce hallucinations Deploy and manage services on GCP (Vertex AI, Cloud Run, BigQuery) using Terraform and CI/CD best practices Collaborate cross-functionally with product, clinical, and mobile teams to iterate fast and deliver impact Embed security … GDPR compliance, and testing best practices into the core of our stack Tech Stack Python • FastAPI • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • GitHub Actions • LangChain/LlamaIndex What We’re Looking For 5+ years building production-grade backend systems (preferably in Python) Strong background in search, recommender systems, or More ❯

of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI More ❯

familiarity with BigQuery and Dataform is a plus) Optimisation of data, analysis of information, and organisation of new sources of data into databases Understanding and experience of different Google Cloud resources such Kubernetes, Cloud Run, Pub/Sub, Cloud Build, etc. Automated Testing in different parts of the pipelines (unit testing with … of constructive feedback to improve code quality and team performance Experience with testing strategies, including visual regression testing, unit testing, and integration testing Understanding of infrastructure setup using cloud-based technologies Proven experience in setting up release pipelines using CI/CD methodology Familiarity with Agile ways of working Comfortable working in a cross-functional team setup More ❯

experience with relational databases such as SQLite, MySQL or PostgreSQL. Hands-on experience with lean DevOps, including containerized services managed with Kubernetes and managed serverless environments like Lambdas, Cloud Functions, and Cloud Run. Hands-on experience with CI/CD pipelines, we’re using Google Cloud Build and Github Actions. Fluency in English (verbal More ❯

with customer teams such as the networking team where required to resolve issues Skills: Experience deploying, implementing and configuring services and resources in GCP: Secret Manager GCS BigQuery Cloud Run Services/Functions/Containers Compute Engine Redis Managed Service Earth Engine Vertex AI Cloud Networking & Shared VPC Experience supporting & maintaining production infrastructure Strong More ❯

Engineer, London, hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform services, Pub …/Sub, BigQuery Streaming and related technologies. Deep understanding of real-time data processing and event-driven architectures. Familiarity with data orchestration tools Google Cloud Platform cloud composer. Google Cloud Platform certification(s) is a strong advantage. Develop, implement, and optimize real-time data processing workflows using Google Cloud Platform services such More ❯

The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: Demonstrate the ability to contribute as an independent senior developer. Design and build data pipelines using GCP services such as BigQuery, Cloud Functions, Cloud … player who gels with the team and provide guidance and support to the team as necessary. Your Profile Essential experience: Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE CI/CD pipeline. The ability to design the efficient solutions, make More ❯