376 to 400 of 1,666 Permanent Google-Cloud-Platform Jobs

Senior DevSecOps Engineer As a Senior DevSecOps Engineer, you will play an integral role in designing, implementing, and maintaining secure and efficient software development and deployment pipelines. Working closely with development, operations, and security teams, you will embed security practices More ❯

YAML and including any Development frameworks Hands-on and practical knowledge of the Linux operating system for effective troubleshooting activities Awareness of any cloud infrastructure principles (like AWS, GCP or OCI), understanding basic principles of secure software delivery is a plus Familiar with Observability tools like Grafana or Prometheus, understanding the importance of giving the correct visibility to our More ❯

large-scale databases, query optimization, and performance tuning . Hands-on experience integrating with security tools like CrowdStrike, Elastic, or Windows Defender . Knowledge of cloud platforms (AWS, GCP, or Azure) and DevOps workflows (CI/CD, Infrastructure as Code). Nice to have: Experience with security automation & orchestration (SOAR) . Contributions to open-source security projects . Security More ❯

Computer Science, Engineering, or a related field Deep expertise in architecting and building scalable full-stack systems, with emphasis on backend technologies (Java, Python, databases), cloud platforms (AWS, GCP), and APIs. Strong foundation in data integration, ETL pipelines, and business intelligence tools. Proactive, self-motivated, and business-minded, skilled at balancing technical trade-offs with strategic priorities Excellent communication More ❯

Automate the Boring. Amplify the Insight. You know the drill: Endless spreadsheets. KPIs without context. Late alerts. Manual deep dives. But you see what others miss - the opportunity to build AI agents that do the legwork, connect the dots, and More ❯

Automate the Boring. Amplify the Insight. You know the drill: Endless spreadsheets. KPIs without context. Late alerts. Manual deep dives. But you see what others miss - the opportunity to build AI agents that do the legwork, connect the dots, and More ❯

responsibilities • Design and deliver high-quality technical solutions. • Lead systems engineering and systems integration efforts. • Provide technical assurance for bids and proposals. Work with public cloud technologies (AWS, GCP, Azure), particularly Infrastructure as Code. • Build, lead, and mentor development teams. • Communicate effectively with both management and engineering teams. • Develop software using modern languages such as Java, Go, Python, with … high quality technical solutions and designs • Experience of systems engineering and systems integration • Experience of providing technical assurance for bids/proposals • Experience of public cloud technologies (AWS, GCP, Azure) and principles, in particular Infrastructure as Code • Experience of building, leading and mentoring development teams • Excellent interpersonal skills and able to communicate with both management and software engineers • Experience More ❯

Automate the Boring. Amplify the Insight. You know the drill: Endless spreadsheets. KPIs without context. Late alerts. Manual deep dives. But you see what others miss - the opportunity to build AI agents that do the legwork, connect the dots, and More ❯

Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our More ❯

skills/expertise: Strong command of Go Experience with building services on top of Kubernetes Experience with building services on at least two major cloud providers (e.g. AWS, GCP, Azure) Experience with on-premise production deployments Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field Strong coding skills with demonstrated proficiency in programming languages, such More ❯

technologies including Python, with a deep understanding of software architecture and design principles, ability to evaluate different approaches to balance performance, cost, and maintainability Experience with cloud platforms (GCP, AWS) is a must Experience with relational and NoSQL databases, with a focus on best practices in data modeling and performance optimization Hands-on experience with building and scaling microservices More ❯

with streaming data pipelines , real-time inference , and distributed ML infrastructure. Contributions to open-source ML projects or research in applied AI/LLMs. Certifications in Azure, AWS, or GCP related to ML or data engineering. Job Title Once hired this person will have the job title Senior Machine Learning Engineer Total Rewards: At Enable, we're committed to your More ❯

solutions at scale. infrastructure-as-code (e.g., CloudFormation, Terraform). Knowledge of programming languages such as Java or Python. Deep understanding of AWS or other cloud providers (e.g. GCP, Azure). Strong understanding of key security technologies and protocols such as TLS, OAuth and SPIFFE. Observability, alerting, metrics collection and visualisation (e.g. Prometheus, Grafana, Elasticsearch, Dynatrace). "Nice To More ❯

the .NET ecosystem ** Good JavaScript experience with a modern framework (Vue, React or Angular) ** Experience building or contributing to cloud based products (ideally in Azure, but AWS or GCP is fine too) ** A good understanding of clean code, testing, and scalable systems Bonus points for; ** Working in a SaaS product environment ** Microservices ** DevOps exposure The teamwork in a flexible More ❯

the .NET ecosystem ** Good JavaScript experience with a modern framework (Vue, React or Angular) ** Experience building or contributing to cloud based products (ideally in Azure, but AWS or GCP is fine too) ** A good understanding of clean code, testing, and scalable systems Bonus points for; ** Working in a SaaS product environment ** Microservices ** DevOps exposure The teamwork in a flexible More ❯

Site Name: London The Stanley Building Posted Date: Jul 2 2025 At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond More ❯

don't ask that 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 team are releasing code 15-20 times per day!) Terraform and Grafana Our More ❯

analytics solutions. Familiarity with version control systems (e.g., Git) for code management, including branching, merging, and basic repository maintenance. Awareness of cloud computing services (e.g., AWS, Azure, or GCP), such as basic compute, storage, and networking offerings. Foundational knowledge of Agile methodologies (project delivery, including sprint planning, task tracking) for collaborative development. Experience with collaboration using Jira ensuring timely More ❯

designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯