301 to 325 of 2,979 Permanent Google-Cloud-Platform Jobs

architectures, from data ingestion through to model deployment and monitoring. Define scalable cloud-native AI solutions using Google Cloud Platform (GCP). Lead the architecture of enterprise AI platforms supporting both traditional Machine Learning and Generative AI use cases. Drive best practices across MLOps, LLMOps … Strong experience designing end-to-end AI/ML platforms and production-ready architectures. Hands-on knowledge of Google Cloud Platform (GCP) and cloud-native AI services. Experience with MLOps, LLMOps or AI platform engineering, including model lifecycle management and deployment pipelines. Strong understanding ...

Node.js (TypeScript), Terraform, and Kubernetes, and we'll support you getting up to speed.You've worked hands-on with a major cloud provider (GCP is a bonus, AWS or Azure transfer fine), used Infrastructure as Code like Terraform (even if someone else set it up), and deployed to Kubernetes ...

environment. Preferred Qualifications: AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer). Experience with other cloud providers (Azure, Google Cloud Platform). Familiarity with monitoring tools such as Prometheus, Grafana, ELK Stack, etc. Prior experience with Agile methodologies and working in Agile teams. ...

systems administration (RHEL/CentOS/Ubuntu)Configuration management (e.g., Ansible, Chef, SaltStack)Proficient in Python, Go, or Rust for infrastructure toolingExperience with AWS, GCP, or Azure (compute, storage, networking, IAM)Infrastructure-as-Code (e.g., Terraform, Pulumi)Monitoring and alerting (e.g., Prometheus, Grafana, Datadog, Zabbix)Logging and tracing (e.g. ...

containerisation, Kubernetes and related tooling.Deep understanding of cloud-native and traditional networking architectures.Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN).Extensive experience writing and maintaining custom ...

problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector ...

cloud environments, with a focus on the below:Strong AWS cloud security experience (we will also consider equivalent experience in Azure and GCP with some level of AWS experience)Cloud native Kubernetes services (EKS/GKE/AKS) and strong container security principlesDeep understanding of securing ...

building, evaluating, or operating LLM-powered agents in production contexts* Demonstrated experience working with APIs, data pipelines, and modern cloud environments (AWS, Azure, GCP)* Track record of mentoring or developing technical peers and codifying expertise into approaches others can build on **Consultative & Customer-Facing Skills*** Proven autonomy inside complex ...

databases, knowledge management systems, AI orchestration frameworks, and MLOps practices.* Experience with data architecture, analytics, and enterprise integration patterns.* Cloud certifications (AWS, Azure, GCP) and AI-related certifications.* Experience leading AI transformation initiatives in large enterprise environments.## **Leadership Competencies*** AI Innovation Leadership: Drives adoption of emerging AI technologies ...

data science, AI, or a related field.Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications.Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps/LLMOps tooling.Strong executive presence, technical storytelling, mentorship, stakeholder influence ...

Docker, and containerised application deployment Modern CI/CD platforms including GitHub Actions, Cloud Build, Buildkite, CircleCI, or similar Cloud platforms, ideally GCP Observability tooling including Prometheus, Grafana, OpenTelemetry, or equivalent PostgreSQL operations, backup, recovery, and data durability Identity management, API gateways, networking, and access controls Bash ...

including experimentation, feature management, model versioning, training, deployment, monitoring, performance benchmarking, and lifecycle management. Strong hands‐on experience with cloud platforms such as GCP or AWS, Kubernetes, distributed compute, CI/CD, observability, and infrastructure-as-code practices. Experience building enabling tools and platform capabilities for Applied Scientists ...

front‐office stakeholders Desirable Skills & Experience Prior experience in investment banking or financial services, particularly front‐office systems Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with Kafka or similar messaging/event platforms Understanding of distributed systems design and immutable event ...

with GitOps tooling (e.g. Argo CD, Flux), progressive delivery, or service mesh technologies. Experience operating multi-cluster or multi-region Kubernetes environments at scale. GCP exposure, especially compute and networking aspects. Familiarity with cloud cost optimization/FinOps practices for cloud and Kubernetes workloads. Experience contributing to multi ...

modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable experience leading and developing engineers, supporting capability growth, motivation, and consistent delivery ...

Advanced Python and C/C++, with experience of infrastructure-as-code and at least one major cloud provider (AWS, GCP, or Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance ...

practices across monitoring, logging and deployment The DevOps Engineer must have: 2+ years experience in DevOps/Platform EngineeringHands-on with: Azure or GCP, Terraform (or similar IaC tools) and CI/CD toolingExperience with containerisation (Docker, Kubernetes)Scripting experience (Python, Bash or similar) Solid understanding of Linux, networking ...

including distributed data management and event-driven architecturesare skilled in designing and operating containerised software hosted in a Cloud Provider (AWS, Azure, or GCP)have experience with cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etchave experience writing strongly-typed languages in the Java ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

processes, boost efficiency, and deliver innovative solutions.The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India ...

processes, boost efficiency, and deliver innovative solutions.The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

data fabric).Hands-on experience with one or more cloud data ecosystems:Azure (Data Factory, Synapse, Fabric, ADLS, Databricks)AWS (Glue, Redshift, EMR)GCP (BigQuery, Dataflow)Databricks (Spark/PySpark)Snowflake (SQL, Snowpark, performance tuning)Desirable ExperienceStrong SQL and/or Python capability, and familiarity with tools such ...

Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and effectively communicate with senior leaders and executives Demonstrable experience designing and leading adoption of agentic AI-enabled development practices (using enterprise ...

foundation of our core services. Strong Python skills are also critical. Real‐world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored, and scaled. A firm grasp of concurrency, multithreading, and asynchronous programming. You know ...