26 to 50 of 1,774 Permanent GCP Jobs

experience managing cloud infrastructure at scale using Terraform or similar Infrastructure as Code (IaC) tools. Deep understanding of large-scale deployment strategies, container orchestration (Kubernetes, Docker), and cloud platforms ( GCP, AWS or Azure ). Experience in applying statistical and machine learning techniques to unstructured data, particularly with image and geometric datasets. Proficiency with data science and machine learning libraries in More ❯

and configurations to ensure clarity and continuity. What we are looking for Operating Systems - Strong experience with Linux environments. Cloud Platforms - Deep expertise in Azure; experience with AWS and GCP is a plus. Scripting - Proficiency in Bash, PowerShell, or similar scripting languages. Infrastructure as Code - Advanced experience with Terraform, Ansible, or similar tools. Version Control - Expertise in Git and workflows More ❯

with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs. Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP). Bonus: Experience with graph databases such as neo4js, pinecone or milvius or similar. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy, or Transformers. More ❯

contribute to codebases and solve complex technical challenges. Strong understanding of modern software architectures (e.g., microservices, APIs, serverless). Experience with one or more cloud platforms (e.g., AWS, Azure, GCP). Strong working knowledge of web and mobile technologies, RESTful APIs, and front-end/back-end development patterns. Excellent understanding of software development methodologies, DevOps practices, and CI/ More ❯

5+ years managing complex software platform development with large-scale data systems. • Hands-on technical background with programming (Python, Java, JavaScript, or Go), cloud platforms (AWS/Azure/GCP), infrastructure as code, data pipelines, and containerized/microservice architectures. • Experience managing multiple parallel workstreams in fast-paced environments. • Proficiency with Agile tools (Jira, Confluence, GitHub, Linear). • Strong technical More ❯

the following would be highly beneficial: Atlassian tools - Bitbucket, JIRA Artifact storage using Artifactory Octopus Deploy Static analysis tools such as SonarQube Control-M Cloud platforms ( Azure, AWS, or GCP ) VMware (vSphere) and SAN technologies Reference: AMC/RHU/DVP #ryhu More ❯

or FastAPI. Strong understanding of microservices architecture and RESTful APIs. Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Familiarity with containerization (Docker, Kubernetes). Knowledge of design patterns, OOP principles, and clean code practices. Experience with Git, Jenkins, CI/CD pipelines. Strong problem-solving and debugging More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

collaboration abilities Preferred Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert) are highly desirable Good knowledge of at least one other cloud platforms (AWS, Google Cloud Platform) is required We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and More ❯

the 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 ❯

the 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 scripting languages: PowerShell, Python, Groovy, Shell/Bash, GoLang Understanding and experience with product technologies: ELK Stack, RabbitMQ, NVIDIA GPU’s. Experience with one or more cloud providers; GCP, AWS, Azure. Experience with K8 stacks: MicroK8’s, OpenShift, GKE, EKS, AKS, RKE2 Proficient in English language: we are globally dispersed and English is our universal language. Excellent communication and More ❯

following scripting languages: PowerShell, Python, Groovy, Shell/Bash, GoLang Understanding and experience with product technologies: ELK Stack, RabbitMQ, NVIDIA GPU’s. Experience with one or more cloud providers; GCP, AWS, Azure. Experience with K8 stacks: MicroK8’s, OpenShift, GKE, EKS, AKS, RKE2 Proficient in English language: we are globally dispersed and English is our universal language. Excellent communication and More ❯

provide solutions which meet the current needs and are flexible Independent worker who can take direction and provide a solution Nice to Have Experience with Apigee, Java, C#, Google Cloud Platform and/or Azure, Databases, Docker/Kubernetes and Atlassian tools Knowledge of modern development best practices including CI/CD, microservices and REST APIs Experience working in an More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Proficiency in cloud platforms (AWS, Azure, GCP). Knowledge of CI/CD pipelines and infrastructure as code tools (Terraform, Ansible, CloudFormation). Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Preferred: Two More ❯