5 of 5 Cloud Run Jobs in East London

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 ❯

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 ❯

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 ❯