51 to 75 of 91 Cloud Run Jobs in London

REST APIs etc. Build tools to monitor, report and control data pipelines. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work with cloud-based infrastructure (GCP) for ingesting data into our warehouse. Collaborate with other full stack developers and data engineers to help meet the business goals. The main part of our … you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase. AWS & GCP - we're cloud-native. Microservice based architecture. Kubernetes (EKS). TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!). Terraform and Grafana. In addition … stack, this role is focused on the engineering required to maintain and warehouse a wide variety of data sources used across the bank. The technology we use is cloud based, primarily GCP. Experience with some or all of the services below would put you at the top of our list: Google Cloud Storage. Google Data Transfer More ❯

for our client. You will leverage your expertise in both front-end and back-end development to create intuitive user interfaces and robust server-side components. Experience with cloud technologies will be an advantage as you integrate cloud services to optimize performance, scalability, and reliability. You will be part of the Engineering team and work closely … designers, developers) to define project requirements and deliverables. Implement best practices in software development, including coding standards, code reviews, and testing. Optimize application performance and ensure responsiveness. Integrate cloud services (e.g., AWS, GCP, Azure) to support scalability and reliability requirements. Stay updated on emerging technologies and trends in full stack development and cloud computing. Provide technical … Expertise in backend technologies such as Node.js, Python, Ruby, Java, or .NET. Hands-on experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, Azure) and experience in deploying applications to cloud environments. Solid understanding of microservices architecture, RESTful APIs, and serverless computing. Experience with software development version 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 ❯

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 ❯

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 ❯

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 ❯

Helping IT & Software departments build great teams by engaging and working with the best IT professionals Join at the start of this new project and help shape the cloud infrastructure of this growing software engineering function. If you're an experienced Cloud Infrastructure Engineer or DevOps Engineer looking for a new challenge, then this is for … is embarking on an ambitious new project to develop their own channel integrations platform. You will be working closely with the development team to take responsibility for their cloud infrastructure. What You'll Be Doing Design, develop, and deploy modular cloud-based systems. Develop and maintain cloud solutions in accordance with best practices Ensure … Terraform MongoDB and MongoDB Atlas Troubleshooting and Analytical skills Experience of working in a distributed/remote team Experience with observability platforms such as DataDog Nice-to-Have: Google Cloud Platform , especially VPC Networking, GKE and Cloud Run Incident management solutions Some knowledge of GitOps practices With new offices in the Southampton area, this More ❯

grit, and determination. We build a culture that challenges norms, fosters experimentation, and supports personal growth. Requirements 5+ years of experience in a solutions architecture role, focusing on Google Cloud Platform (GCP). Deep expertise in GCP services such as Compute Engine, Cloud Functions, Cloud Run, BigQuery, Cloud Storage, GKE … Cloud Pub/Sub, IAM … and Cloud Identity. Hands-on experience with automation tools like Terraform, Cloud Deployment Manager, or similar. Proficiency in building CI/CD pipelines with Google Cloud Build, Jenkins, GitHub Actions, or similar. Knowledge of Linux and/or Windows systems administration, networking, and cloud security best practices. Experience with monitoring and logging More ❯

computer vision models in production environments, ensuring optimal performance, reliability, and scalability. Develop and implement best practices for MLOps, including version control, CI/CD pipelines, containerisation, and cloud-based orchestration. Ownership of our image management pipeline including interfacing with third parties to deliver industry standard data quality. Collaborate cross-functionally: Work closely with data analysts, product managers … Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in ML-Ops practices and tools; strong understanding of DevOps and CI/CD. Experience with cloud platforms, e.g. AWS (preferred), GCP, and deploying models in production. Experience developing and shipping GenAI solutions utilising Large Language Models … LLMs), with an emphasis on API usage and Retrieval Augmented Generation (RAG). Proficient in Docker and cloud-based container orchestration services such as AWS Fargate, Google Cloud Run etc. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve ambiguity. You're excited about fast 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 … good team player who gels with the team and provide guidance and support to the team as necessary. Your Profile Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE The ability to design the efficient solutions, make them go through review More ❯

career growth, performance management, and skills development within the team. Foster a high-performing, collaborative environment, encouraging knowledge sharing and innovation. Conduct regular 1:1s, performance reviews, and run our Data Engineering Forum to strengthen the team's capabilities. Define & Execute the Data Engineering Strategy Develop and execute the data engineering roadmap, ensuring alignment with business goals. Oversee … Data Engineering Establish and enforce engineering processes and standards, including PR reviews, Data Quality assessments, CI/CD, Testing, and Observability. Optimize performance, cost, and scalability across our cloud-based data platforms. Ensure compliance with data security, governance, and regulatory requirements. Develop monitoring and alerting solutions for proactive data pipeline maintenance and incident prevention. Own the technical delivery … consumption and operational robustness. Deep expertise in data modelling, specifically using star schema methodology, and building performant dimensional models to support high-velocity datasets. Strong experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, Composer (Apache Airflow), Pub/Sub, Cloud Storage, DBT/Dataform, Datastream, and Cloud Run. Experience supporting agile, high-performing More ❯

embedded expert in dentsu digital media teams. They will identify project opportunities from collaborating with other team members and clients, and discussing their common challenges, alongside helping to run client workshops. They will research and plan the best approaches … considering timelines, costs and ease of use. During execution, they will ensure proper documentation, smooth communication, effective error handling thorough code testing and correct use of tools like Google Cloud Platform and GitHub, with a focus on security. They will communicate confidently with stakeholders and share knowledge through presentations and case studies. Key Responsibilities Proactively work with clients … thoroughly tested before handling over the tool -All relevant tools are used effectively and correctly Qualifications + Skills Experience with any of the following: Python, JavaScript; Rest APIs; Google Cloud Platform (Big Query, Cloud Functions, Cloud Run, Cloud Scheduler or Cloud SQL) An understanding of overarching agile methodologies More ❯

measurement standards and implementation using analytics, tracking technologies, tag management (e.g. Google Tagmanager, dataLayer, server side, etc) and consent management systems (e.g. OneTrust, Cookiebot, etc) Expert user of Google Cloud Platform and adjacent analytics connectors, APIs and platforms. Develop and manage data pipelines between key data sources and destinations using platform APIs and GCP resources such as Cloud … have demonstrable and solid experience as an analytics architect working with various analytics and tracking technologies (Meta, TikTok, YouTube (Google Ads), Affiliates, Amazon, Mobile Marketing Platforms etc) and Google Cloud Platform. You have consulted on, scoped, developed, validated and implemented complex analytics and data applications and pipelines on GCP for clients and for businesses at a senior level … it would be very beneficial if you have: University degree (Ideally Master’s level) Valid Analytics and Tag Management certifications Valid GCP certification, or possess deep knowledge of Google Cloud Platform (minimum 4 years) Relevant analytics projects on Github (covering implementation and analysis) About Us Digital Voices is a rapidly scaling global agency, full of strategic, creative and More ❯

Build and scale backend services (Python/FastAPI) for ingesting, indexing, and serving medical content. Develop retrieval infrastructure using vector databases (e.g. PGVector, Pinecone). Deploy on GCP (Cloud Run, Vertex AI) with Terraform, CI/CD, and observability tools. Collaborate across product, mobile, and clinical teams to ship weekly. Ensure secure, compliant data handling What … need: 5+ years backend experience (Python preferred). Strong background in ML, search, or recommender systems. Skilled in vector search, embeddings, and LLM-based RAG. Hands-on with cloud infrastructure (GCP/AWS/Azure). Comfortable in early-stage, fast-paced environments. More ❯

Build and scale backend services (Python/FastAPI) for ingesting, indexing, and serving medical content. Develop retrieval infrastructure using vector databases (e.g. PGVector, Pinecone). Deploy on GCP (Cloud Run, Vertex AI) with Terraform, CI/CD, and observability tools. Collaborate across product, mobile, and clinical teams to ship weekly. Ensure secure, compliant data handling What … need: 5+ years backend experience (Python preferred). Strong background in ML, search, or recommender systems. Skilled in vector search, embeddings, and LLM-based RAG. Hands-on with cloud infrastructure (GCP/AWS/Azure). Comfortable in early-stage, fast-paced environments. 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

MLOps, and data engineering Infrastructure as Code - Terraform or equivalent Practical knowledge of AWS, Snowflake, GCP, AWS or Azure Experience with some of, or equivalent to: Vertex, Dataflow, Cloud Run, BigQuery, Datastore, Cloud Storage, Cloud Functions, and PubSub Snowflake Cortex/AWS Bedrock, AWS MSK, Snowpipe Streaming, Snowpark Container Services We might 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 ❯

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 ❯

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 ❯

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 ❯