251 to 275 of 1,380 GCP Jobs

pg_stat_statements, Prometheus, Grafana). • Knowledge of scripting languages for automation and tooling. Preferred Qualifications: • Experience with containerized environments (Docker, Kubernetes). • Familiarity with cloud platforms (AWS RDS, GCP Cloud SQL, or Azure Database for PostgreSQL). • Understanding of CI/CD pipelines and infrastructure as code (Terraform, Ansible). • Exposure to other RDBMS (e.g., Oracle, MySQL) or NoSQL More ❯

characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters Document and conduct trainings/webinars for NCCL Engage with More ❯

solutions. Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent platforms. • Deep understanding of cloud infrastructure services (AWS, Azure, GCP). • Strong experience with CI/CD practices and containerization tools (Docker, Kubernetes). • Knowledge of the machine learning model lifecycle, including drift detection and automated retraining. • Familiarity with information More ❯

XML, CSV, Flat Files). Hands-on experience in error handling, debugging, and performance tuning of integrations. Familiarity with relational databases (SQL/NoSQL) and cloud platforms (AWS, Azure, GCP). Excellent analytical, problem-solving, and communication skills. Ability to work independently in a remote environment and deliver results with minimal supervision. Preferred Qualifications Experience with ETL tools or other More ❯

tools (Excel, Word, Project, Visio) and SharePoint Excellent verbal and written communication skills These Qualifications Would Be Nice To Have: Experience with ServiceNow Experience with cloud platforms (AWS, Azure, GCP) Knowledge of DevOps practices and tools Familiarity with database administration Acts independently to expose and resolve problems Clearance Applicants selected will be subject to a security investigation and may need More ❯

need: Strong backend development skills in Python, Node.js, or a similar language (this is mandatory). Proven experience with API consumption, authentication, and integration. Familiarity with cloud platforms (AWS, GCP, Azure). Ability to design and implement production-grade backend services. Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring. Desirable Skills Familiarity with LangChain, LlamaIndex More ❯

models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Ability to lead projects, scope work, and deliver solutions at pace (for Senior) Excellent communication More ❯

and service management. Excellent problem-solving, analytical, and communication skills. Ability to work in a fast-paced, mission-critical healthcare environment. Preferred Skills Experience with cloud platforms (AWS, Azure, GCP). Knowledge of HIPAA compliance, healthcare data security, and PHI handling. Exposure to DevOps tools (Git, Jenkins, Docker, Kubernetes). Prior experience with ITIL or ITSM processes (incident, problem, change More ❯

operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line More ❯

the business. Essential Skills Strong backend development skills in Python, Node.js, or a similar language Proven experience with API consumption, authentication, and integration . Familiarity with cloud platforms (AWS, GCP, Azure). Ability to design and implement production-grade backend services . Solid understanding of software engineering practices : version control, testing, CI/CD, monitoring. Experience translating business needs into More ❯

and privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have) Front ends (for internal tools) : Streamlit/Gradio/ More ❯

concepts, with demonstrable experience in supporting or implementing ML models Proficiency in Python or Scala for data engineering tasks Experienced working in cloud environments such as AWS, Azure and GCP Familiarity with CI/CD pipelines and version control such as Git Excellent problem-solving and communication skills Desirable Extensive experience in Machine Learning Exposure to ML Operations practices and More ❯

in managing hybrid teams through all stages of data science project development, from exploration to deployment. Experience with big data technologies such as Hadoop, Spark, and cloud platforms (AWS, GCP, Azure) is a plus. Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn. Intermediate project management experience, with the ability to prioritize and manage competing demands. Advanced More ❯

design, integration, and scaling. Experience deploying and serving LLMs with frameworks such as vLLM, Triton Inference Server, or Hugging Face TGI . Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Knowledge of MLOps/LLMOps practices , including CI/CD pipelines, monitoring, logging, and autoscaling. Understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and RAG More ❯

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Programming Languages: JavaScript, Java, .Net Coud platforms: AWS, GCP, Azure Other technologies: CI/CD, TDD What you can expect ?? Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical More ❯

requires an active Secret clearance. You'll be responsible for securing cloud infrastructure, managing identity and access, and implementing security best practices across Google Workspace and Google Cloud Platform (GCP). Minimum Qualifications Active Secret Security Clearance or ability to obtain one (Top Secret preferred). Ability to work onsite in Washington … DC, five days per week. 5+ years of experience in cybersecurity engineering, cloud security, or IT security. Hands-on experience with: Google Admin Console, Security Center, Google Vault, Cloud Identity GCP services: Compute Engine, VPC, IAM, GKE, BigQuery Proficiency with infrastructure-as-code tools: Terraform, Ansible, Deployment Manager. Familiarity with CI/CD tools: GitLab CI, Jenkins, Cloud Build. Strong … Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience working in Agile/Scrum environments. Preferred Qualifications Certifications such as: GCP Professional Cloud Architect GCP DevOps Engineer Google Cloud Security Engineer CISSP, CISM, CCSP Familiarity with additional cloud security tools beyond Google Workspace and Netskope. Experience with security frameworks and best practices (e.g., NIST More ❯

hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. Additional Requirements: Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions. Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or More ❯

in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

version control software • Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular • Experience deploying software to least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) • Understanding of SQL and NoSQL databases • Proficiency in data structure and algorithm design and implementation • Proficiency in time-series data analysis, cleansing, and normalization • Working knowledge of Agile More ❯

in IAM, endpoint security, and data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Preferred Qualifications: Certifications such More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

API development with Falcon framework • Experience working in a pragmatic startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven More ❯