51 to 75 of 2,357 Google-Cloud-Platform Jobs

in Computer Science, Software Engineering, or a related technical field. Technical Expertise: Strong experience in DevOps practices, tools (e.g., Terraform, CloudFormation, or Ansible), and cloud platforms (AWS, Azure, GCP). Deep knowledge of networking protocols (e.g., TCP/IP, DNS, VPN, HTTP/S) and proxy server configurations. Proficiency in programming languages (e.g., Python, Java, C#) and experience with More ❯

We're hiring Principal Cloud Engineers to lead our new COE- driving GCP transformation and guiding talented teams across Cloud, QA & AI. It's your chance to shape strategy, deliver secure multi-cloud solutions, and make a real impact at SMBC. Sumitomo Mitsui Finance Dublin Limited (SMFD) is a wholly owned subsidiary of SMBC and is growing … lead the Architecture and Engineering function within our new Centre of Excellence. This is a pivotal role that combines deep technical expertise in Google Cloud Platform (GCP) with leadership responsibilities across three sub-teams: Cloud Engineering, QA Testing, and AI Development. The successful candidate will work closely with the Architecture and Engineering team in London to … and quality delivery of cloud-based projects and services. What you'll bring: Proven experience in designing and delivering complex solutions on Google Cloud Platform (GCP). Strong understanding of cloud infrastructure, networking, security, and automation (Terraform, CI/CD). Experience leading technical teams and managing cross-functional collaboration. GCP Professional certifications (e.g., Cloud More ❯

LocationSheffield (priority), Birmingham, Edinburgh., United Kingdom# Senior Software Engineer - GCP Focus at N Consulting LtdLocationSheffield (priority), Birmingham, Edinburgh., United KingdomSalary£300 - £400/dayJob TypeContractDate PostedSeptember 7th, 2025Apply Now Job Opportunity: Senior Software Engineer - GCP Focus Locations (priority order): Sheffield > Birmingham > Edinburgh Contract Duration: 6+ months (extensions possible based on performance) Work Model: Hybrid (2-3 days/week onsite … serverless functions, microservices, and distributed tracing .Strong background in security, compliance, and audit controls in regulated environments.Excellent communication skills for both technical and business stakeholders. Essential Skills Public cloud architecture (GCP strongly preferred).Infrastructure build/configuration (compute, storage, networking).RESTful API services, enterprise logging/monitoring (Splunk, ELK, Prometheus, Grafana).Messaging and streaming integration services.Non-functional testing and … troubleshooting.Cryptography knowledge (authentication, encryption).Agile development experience. Desirable Skills Experience in financial services or other highly regulated industries. GCP certifications (e.g., Google Cloud Engineer, GCP Cloud DevOps Engineer). Hybrid role (2-3 days onsite per week). Contract: 6+ months (with extension potential). Locations: Sheffield (priority), Birmingham, Edinburgh. Candidates must be open to FTE conversion. More ❯

Eligible for DV Clearance (10 years UK residency required) Nice to have Docker/Kubernetes Ansible or similar automation Exposure to ML/AI tooling (AWS/Azure/GCP) Why this role stands out Direct impact on UK National Security Complex engineering challenges — not just maintenance Brilliant internal progression pathways across cloud, cyber, and data Flexible hybrid working More ❯

Eligible for DV Clearance (10 years UK residency required) Nice to have Docker/Kubernetes Ansible or similar automation Exposure to ML/AI tooling (AWS/Azure/GCP) Why this role stands out Direct impact on UK National Security Complex engineering challenges — not just maintenance Brilliant internal progression pathways across cloud, cyber, and data Flexible hybrid working More ❯

development, including designing, building, and deploying scalable applications using microservices architecture, containers (e.g., Docker), and orchestration tools like Kubernetes. Proficiency in leveraging cloud platforms (e.g., AWS, Azure, or GCP) for optimizing application performance and scalability. Experience with on call rotations, incident response and site reliability, including diagnosing and resolving complex production issues under pressure. Experience automating operational work for More ❯

processes, boost efficiency, and deliver innovative solutions. The team's expertise spans a wide range of technologies, including Java and Python based MicroServices, Data Platform services, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on More ❯

or a similar Typescript front end framework. Proficiency in Python, with experience in FastAPI (or similar API frameworks), and SQL databases. Hands on experience with cloud platforms (AWS, GCP, or Oracle Cloud) and managed services. Experience with Docker, Kubernetes, CI/CD automation, and Git-based collaborative workflows. Knowledge of secure, scalable architectures, e.g., microservices and serverless (e.g. More ❯

systems, network infrastructures, RDBMS etc Experience with infrastructure-as-code software Exposure to automated testing tools Knowledge of continuous integration - continuous deployment pipelines Recognised deep proficiency with Azure, AWS & GCP servicesJoin us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a More ❯

following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯

following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯

following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯

Evaluate and integrate new technologies with a focus on long-term scalability and resilience. Requirements 1015+ years of experience scaling backend and infrastructure systems in cloud environments (AWS, GCP). Deep expertise in distributed systems, infrastructure automation, and service reliability engineering (SRE). Hands-on proficiency with Kubernetes, CI/CD pipelines, Terraform, and observability tooling. Strong experience with More ❯

APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker or Kubernetes and Cloud platforms: AWS (preferred), Azure, or GCP Prior experience building middleware for data sync, order processing, and internal APIs in a multi-system e-commerce environment would be highly beneficial More ❯

cloud resources. Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database Familiarity: Solid understanding of database More ❯

cloud resources. Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database Familiarity: Solid understanding of database More ❯

cloud resources. Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database Familiarity: Solid understanding of database More ❯

Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with More ❯

and tools Our Tech Stack includes: Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue, Angular, React, Node, Next, Spring/Spring Boot, .NET/ASP.NET Cloud Platforms: AWS, GCP, Azure CI/CD: Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep AI Integration: Pragmatic and safe use of AI through the SDLC, including MCP for tool integration More ❯

and tools Our Tech Stack includes: Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue, Angular, React, Node, Next, Spring/Spring Boot, .NET/ASP.NET Cloud Platforms: AWS, GCP, Azure CI/CD: Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep AI Integration: Pragmatic and safe use of AI through the SDLC, including MCP for tool integration More ❯

CI/CD with AWS DevOps). Familiarity with containerization and orchestration tools (Docker, Kubernetes). Understanding of IaaS, PaaS, SaaS models. Experience with other cloud platforms (Azure, GCP) is a plus. Excellent communication and stakeholder engagement skills. AWS Certified Solutions Architect and/or industry certifications such as TOGAF 9 or equivalent. Experience with data platforms like Databricks More ❯

Azure DevOps, etc.Proven track record with IaC tools (Terraform, CloudFormation, Ansible, Puppet, ChefStrong expertise in containerization and orchestration (Docker, Kubernetes, Helm, etc.Proven experience managing cloud infrastructure (AWS, Azure, GCP) including IaaS, PaaS, network, security and VM/container lifecycles.Excellent scripting/programming skills (Python, Bash, Go, PowerShellExperience implementing observability and monitoring solutions (Prometheus, Grafana, ELK, Splunk, New RelicSolid understanding More ❯

and Apache Spark. We need both. Experience with cloud data warehouse/data lake architectures and tooling. Experience building solutions using cloud providers, preferably Azure (AWS/GCP also valued). Experience with modern data lakehouse concepts and architectures. Experience ingesting and transforming data from sources such as Kafka, REST APIs, Hadoop, etc. Experience with data pipeline orchestration More ❯

will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event processing and async messaging architectures More ❯

differential testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead More ❯