101 to 125 of 633 Permanent GCP Jobs

integrations Proficiency in TypeScript (preferred) or Java; Python advantageous for data/AI tasks Experience with cloud-native development and deployment on Google Cloud Platform, including containers, IaC, and CI/CD Security-aware with IAM, secrets management, monitoring, logging, and traceability Effective communication with both technical and non-technical ...

level or above Experience in the national defence sector or other highly secure/regulated environments Broader cloud knowledge across Azure and/or GCP Strong understanding of Infrastructure as Code Experience with secure cloud migrations and modern platform design Familiarity with containerisation, platform engineering, and secure CI/ ...

comfortable writing production-quality Python code. Experience with MLOps tools, containerisation (Docker), and orchestration (Airflow/Dagster) is essential. Experience with Cloud platforms (GCP/Vertex AI preferred, or AWS/SageMaker) and handling large datasets via SQL/BigQuery. A proactive mindset with the vision to spot new opportunities ...

pipelines. o Cloud infrastructure and deployment o Unit and integration testing (Pytest). Cloud, infrastructure and deployment Foundational understanding of AWS, Azure or GCP , with an awareness of deploying and managing multi-tenant infrastructure. Ability to contribute ideas for architectural optimisation , improving scalability and robustness with support from the DevOps ...

asset management, wealth management, or client-facing financial technology platforms Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform Exposure to event-driven architecture and distributed systems design Experience with modern front-end component libraries and design systems ABOUT US Our client ...

software engineering or secure architecture, with comprehensive knowledge of both legacy on-premise infrastructure (mainframe, monolithic apps) and modern cloud environments (AWS, Azure, GCP, Kubernetes, Microservices). Modern AppSec Stack Mastery: Proven track record of scaling modern AppSec tooling, API security gateways, cloud-native application protection platforms (CNAPP), and automated ...

industry. Your Technical Expertise: Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks. Experience in one or more of the listed Languages such as: Python, R, PySpark Experience in one or more ...

complex production issues and participate in the shared on-call rota. Youll need: Significant production experience with at least two of AWS, Azure and GCP Deep production Kubernetes experience Strong GitOps and infrastructure as code experience at scale CI/CD pipeline automation experience Extensive experience with declarative orchestration ...

/Unix and infrastructure troubleshooting Experience with Terraform, Ansible and Kubernetes Experience testing Infrastructure as Code and containerised environments Familiarity with AWS, Azure or GCP Experience with virtualisation technologies Experience with CI/CD tools such as Jenkins, GitLab CI or GitHub Actions Understanding of Secure-by-Design, IAM, least ...

technical stakeholders Hands-on skills across frontend and backend technologies and databases Experience with LLM frameworks, prompt orchestration, and cloud platforms (Azure, AWS, GCP) including Docker and CI/CD Strong focus on automated testing, logging, monitoring, and system reliability Experience in Agile teams and sprint ceremonies Experience pair programming ...

data analysis. Knowledge of Performance Test Strategy and defining Non-Functional Requirements. Proven experience in Performance Testing of cloud-based architectures (Azure, AWS, GCP). Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable skills: Knowledge of middleware systems (Kafka ...

datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker ...

datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker ...

from you: Experience in Site Reliability Engineering, DevOps or a similar infrastructure-focused role Strong knowledge of cloud platforms such as AWS, Azure or GCP Experience with Infrastructure as Code and configuration management tools such as Terraform and Ansible Familiarity with CI/CD pipelines and automation Understanding of monitoring ...

commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence ...

building data-intensive applications and pipelines Strong programming skills in Python and SQL or similar Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow Strong focus on data quality, testing and reliability Solid software engineering fundamentals and high engineering standards Strong communication and collaborative skills ...

developer experience that powers a globally distributed payment platform. We're looking for an experienced hands-on engineering leader with deep expertise across GCP, Kubernetes, Terraform, automation and platform engineering, combined with a passion for building scalable self-service platforms. Lorenz Pasch: 07863107173 | | My full contact details are available ...

REST APIs and handling high-volume distributed systems Proficiency with Kafka streams and distributed storage (e.g., Cassandra, Hazelcast, Oracle Coherence) Experience with cloud platforms (GCP or AWS) and containerization (Docker, Kubernetes) Proficiency in JavaScript/TypeScript and familiarity with observability tools (New Relic, StatsD, ELK, Datadog, Prometheus) Nice-to-have ...

someone who can remain technically involved while leading and developing a small engineering team. Responsibilities Own DevOps/platform operations across AWS, Azure, and GCP environments. Build, maintain, and improve CI/CD pipelines and release processes. Manage containerized and VM-based infrastructure, including Kubernetes environments. Establish infrastructure-as-code ...

engineers with experience across some of the following areas: Cyber security and platform engineering Networking and network security Cloud security - AWS, Azure or GCP CI/CD, DevSecOps and Infrastructure as Code Linux/WSL SIEM and log management - Splunk, Microsoft Sentinel, Cribl or ELK Python, Bash or PowerShell scripting ...

Able to work independently and solve complex problems, with a demonstrated ability to productise and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform). Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns. Familiarity with tools and packages including Kubernetes ...

strong background in AWS, cloud integration and event-driven architecture. The organisation is actively embracing AI and agentic services, primarily within AWS, with some GCP involvement. You will play a key role in developing and enhancing a cloud-native middleware platform, building robust system-to-system integrations across a growing ...

career development opportunities competitive compensation package Verantwoordelijkheden Develop scalable production-grade data and ML pipelines across the full ML cycle Work primarily on Google Cloud Platform with BigQuery, DataProc, Cloud Composer, Airflow, and ML frameworks Own SLIs/SLOs for ML systems, monitor health, data quality, performance, and business impact ...

technologies (e.g., Google BigQuery) Proficiency in Python for data processing and automation Experience with data transformation tools, especially dbt Familiarity with cloud platforms (GCP, AWS, Azure) and data services Understanding of data modeling techniques (e.g., Kimball) Experience with Git as version control Strong analytical and problem-solving skills with attention ...

Certifications or training related to DevOps Experience with observability and monitoring ecosystems (Prometheus, Grafana, ELK/OpenSearch) Experience with cloud platforms (AWS, Azure, or GCP) and hybrid/on-prem architectures Familiarity with incident response, disaster recovery, and capacity planning Conflict of Interest: Successful candidates for this job must satisfy ...