251 to 275 of 1,772 Permanent GCP Jobs

TensorFlow, PyTorch) to design and implement solutions.Experience deploying AI/ML models to production systems in collaboration with engineering teams. Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). Experience creating interactive visualizations and dashboards using tools such as Power BI or Tableau to communicate findings effectively.Strong interpersonal skills, with the ability to lead client projects and explain More ❯

on experience with modern observability tools such as Grafana, Prometheus, or CloudWatch to implement and manage monitoring solutions. Hands-on experience with core AWS, or other cloud providers like GCP or Azure, to architect scalable and resilient infrastructure. Extensive experience with automated testing frameworks and CI/CD pipelines to ensure quality and efficiency in software delivery. DESIRED: In-depth More ❯

s degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) What you'll get in return You'll join a fast-paced, agile team in a company that values innovation and collaboration. You More ❯

preprocessing, feature engineering, and model evaluation techniques.\Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases). Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to articulate technical solutions to both technical and non-technical audiences. Understanding of More ❯

s degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) What you'll get in return You'll join a fast-paced, agile team in a company that values innovation and collaboration. You More ❯

Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days More ❯

management tools Familiarity with DevOps practices and CI/CD pipelines Working knowledge of quality assurance processes and test management tools Understanding of system architecture, cloud infrastructure (AWS, Azure, GCP), and deployment models Ability to interpret technical documentation, wireframes, and solution architectures Exposure to full-stack technologies, open source technologies and frameworks Awareness of mobile and web app development cycles More ❯

automation frameworks (e.g., Selenium, Cypress, JUnit, TestNG, Playwright, or equivalent). Strong knowledge of software QA methodologies, tools, and processes. Experience testing applications in cloud environments (AWS, Azure, or GCP), containerized platforms (Docker, Kubernetes), and/or service mesh environments. Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions) and integrating automated tests into the delivery process. Competency More ❯

or early experience in Agentic AI systems. Full-stack development: front-end (React, Angular, Vue, etc.), back-end (Node.js). Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Familiarity with Cisco technologies (Splunk a plus). Experience with startups, research institutions, or academia. Why Join Us? Work on projects with global reach and transformative potential. Accelerate your More ❯

About Us River Hawk Consulting is a leading business transformation and technical advisory firm founded in 2019. We are dedicated to harnessing the power of data to drive business decisions and improve operational efficiency. Our focus is on leveraging advanced More ❯

new solutions. Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices. Technology Stack at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI/CD & Automation … Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx, TensorRT Data Stores & Databases: Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL) NoSQL Databases: DynamoDB Search Databases: OpenSearch, Elasticsearch Vector Databases: Qdrant Caching: Redis Data Warehousing: Snowflake What we're looking for: 4+ year job history designing, managing, deploying, and … supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required) Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux) Knowledge of IaC and configuration management tools More ❯

deployment and scaling. Administer and optimize Git-based version control systems (GitLab, GitHub) to ensure streamlined CI/CD processes. Architect and deploy applications on AWS, Azure, or Google Cloud Platform environments. Collaborate with cross-functional teams to inform strategy, set standards, and implement best practices for containerization and orchestration. Troubleshoot and resolve issues in cloud and containerized environments to More ❯

power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a strong code-first, data as a product mindset at all times, where testing … as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting: Monitor data pipelines … such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache More ❯

Vue, or similar frameworks) Back-end experience with Node.js, Python, or PHP (Laravel preferred) Proficient with databases (MySQL, PostgreSQL, or MongoDB) Familiarity with containerisation (Docker) and cloud hosting (AWS, GCP, or similar) Experience with secure payment integration (Stripe, PayPal, etc.) Previous work on e-commerce or multi-vendor platforms is a big plus Understanding of GDPR, user authentication, and platform More ❯

practices and CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) • Strong Linux administration skills (Red Hat/Ubuntu or equivalent) Desired Qualifications: • Experience with AWS, Azure, or GCP cloud environments • Knowledge of Infrastructure as Code (Terraform, Helm, CloudFormation) • Familiarity with observability tools (Prometheus, Grafana) Benefits: Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.). Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs. Strong stakeholder engagement and mentoring skills. More ❯

these areas, unfortunately your application will not be considered. What you'll be doing Our backend stack is mainly Node.js, Express, MongoDB and Redis. We are hosted on Google Cloud Platform, mainly in Google Kubernetes Engine. Our frontend stack is React with TypeScript. And we're in large part open source. We deploy 2-6 times daily, supported by a More ❯

systems and microservices We're looking for candidates who have: Experience in designing and implementing cloud-native microservices-based distributed systems in a major cloud provider like AWS or GCP You have a bias to ship and iterate alongside product management and design partners Experience with object-oriented programming languages. We mostly use Java but appreciate a variety of languages More ❯