201 to 225 of 1,854 Permanent GCP Jobs

GitLab and testing tools/frameworks such as SonarQube, xUnit, Postman, Cucumber, Polaris, Blackduck. • Strong hands-on experience in any one or more cloud technologies such as Azure/GCP/AWS. • Strong knowledge in data structures, algorithms, design patterns & Clean architecture principles • Strong knowledge in design principles/methodologies such as SOLID, 12 Factor App, TDD, BDD, Agile Scrum More ❯

ability to clearly articulate to small and large audiences English and French Speaking Language Required PREFERRED QUALIFICATIONS PREFERRED QUALIFICATIONS Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. Programming or scripting skills in Java, Python, PowerShell, Perl, Ruby, C#, or PHP a plus but not a requirement Previous experience as a Software Engineer, Operations Engineer, Infrastructure More ❯

developer tools, platforms, or portals, such as Backstage. Proficiency in web development with React, TypeScript and Node and experience with Bash and Python. Solid understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab). In Return: We will provide the training More ❯

or Master's degree in Computer Science, Software Engineering, or a related field Proven industry experience with Kubernetes and Docker Hands-on experience managing infrastructure in AWS, Azure, or GCP Strong understanding of event streaming and messaging queues such as Kafka Expertise in database systems including Redis, Elasticsearch, Neo4j, and PostgreSQL Proficiency in developing APIs using a backend framework (such More ❯

and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus B.S. or M.S. degree in Computer Science, Engineering, or equivalent Self-motivated individual with a high level of accountability and More ❯

and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus B.S. or M.S. degree in Computer Science, Engineering, or equivalent Self-motivated individual with a high level of accountability and More ❯

and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus AI literacy and curiosity - Gen AI interest in or outside of a work setting. B.S. or M.S. degree in Computer More ❯

Required 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 ❯

with backend, frontend and mobile development with Node, React/React Native and PHP Experience with project management tools such as Jira or Linear Experience with cloud computing (AWS, GCP or Azure) Experience with designing and implementing service-orientated, event-driven architectures and systems Have experience with building, running and scaling containerised applications, container orchestration platforms such as Kubernetes and More ❯

or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least More ❯

compute 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 ❯

technologies form the foundation of our platform. While expertise in all areas is not required, experience with them is a plus: Java, primary language for our backend codebase AWS & GCP - we're cloud-native Kubernetes (EKS) Microservice based architecture RESTful APIs PostgreSQL, JDBI, Flyway TeamCity for CI/CD Terraform and Grafana The Team: The Core Banking group is seeking More ❯

non-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 ❯

non-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 ❯

non-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 ❯

ecosystem. Experience developing and deploying JavaScript web applications in high-traffic environments. Proven track record of delivering software features into production. Familiarity with at least one cloud platform: AWS, GCP, or Azure. Solid understanding of the Software Development Life Cycle and Agile methodologies (e.g., Kanban, Scrum). Knowledge of backend integration using REST APIs, WebSockets, or GraphQL, with appropriate data More ❯

trunk-based development, automated testing at all levels and infrastructure-as-code. An awareness and curiosity about application design and architecture patterns Worked in a cloud native environment like GCP or AWS with Kubernetes Are you looking for a fulfilling career with attractive perks and a supportive work environment? Look no further! We're excited to offer an incredible opportunity 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 teams are releasing code 15-20 times per day!) Terraform and Grafana The team More ❯

tooling. Collaborate with engineering, security, and product teams to drive end to end reliability. Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS, Azure, or GCP). Expertise in Kubernetes, Docker, Helm, and microservices architectures. Strong scripting skills in Python, Bash, or Typescript. Proven track record of automating build, test, and deployment workflows. Clear communicator with More ❯

You'll Need 3-5+ years in DevOps, with proven CI/CD pipeline implementation experience. 3-5+ years' experience working with cloud platforms (AWS, Azure, or GCP). Strong scripting and automation skills (e.g., Python, JavaScript). Proficiency in tools such as Jenkins, CircleCI, GitHub/GitLab, Terraform, and Ansible. Familiarity with containerization (Docker), networking, and cloud More ❯

Key responsibilities include: Develop, maintain, and improve CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or similar. Manage cloud infrastructure (OCI, AWS, Azure, or GCP) using Infrastructure as Code tools like Terraform or Serverless Functions. Monitor system health and performance using tools like Prometheus, Grafana, or Datadog or NewRelic. Collaborate closely with development teams to More ❯

profiling, RBAC). Familiarity with network monitoring tools/protocols and logging pipelines (e.g., SNMP, Syslog, Netflow, ELK Stack, Grafana). Strong knowledge of cloud platforms (e.g., Azure, AWS, GCP) and infrastructure management. Experience with network security technologies, including firewalls (Palo Alto, CheckPoint), IDS/IPS, NDR, switch/router ACLs, NAC solutions, IPSec/TLS VPNs, WAFs, email security More ❯

CI, GitHub Actions, TeamCity) Experience with configuration management tools (e.g., Ansible, Terraform, Helm) Proficiency in scripting and automation (e.g., Bash, Python, PowerShell) Experience with cloud platforms (e.g., AWS, Azure, GCP) Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯