401 to 425 of 3,041 Permanent Google-Cloud-Platform Jobs

services such as TeamCity, Gitlab or JenkinsExperience in designing and implementing scalable secure cloud-based solutionsCloud Solution Architect certification (Azure/AWS/GCP), Linux (Preferably) and/or Windows sysadmin certificationProgramming experience (Java, Go, Python, Bash, PowerShell, etc.)Proven Experience of microservices and container-based systems (Docker, Kubernetes … with Oracle Database/DB Admin; ITIL experienceFamiliarity with open source cloud and application platforms; Understanding of other public cloud services (AWS, GCP)Duties:Active involvement in the planning, implementation and testing of cloud infrastructure and DevOps systems/pipelinesContributing with strong networking, security and system administration ...

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Cloud Engineering Acceleration team accelerates delivery of strategic public cloud ...

strategic ability to translate complex threats into clear, actionable guidance. Responsibilities Design and own cloud security architecture across AWS, Azure, and/or GCP environments, including the development of reference architectures and reusable solution patterns Define and author enterprise‐level security policies, controls frameworks, and governance documentation aligned … Security – Specialty (required), with CISSP, CRISC, or CCSP strongly preferred; additional certifications such as ISO 27001 Lead Implementer/Auditor, Azure Security Engineer, or GCP Security Engineer are advantageous Hands‐on experience securing workloads on AWS and/or Microsoft Azure (GCP experience beneficial) Track record of delivering security architecture ...

Company DescriptionIFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best ...

within engineering teams. Lead Cloud/DevOps Engineer Requirements Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Strong understanding of cloud-native architectures and modern technical stacks. Proficiency with Infrastructure as Code, particularly Terraform. Experience with CI/CD tooling ...

OverviewHow You’ll Make an ImpactA subsidiary of Publicis Groupe, Epsilon is a leading provider of multi-channel marketing services, technologies, and database solutions. We do more than collect and store data, and we might ...

proactive 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 the infrastructure for LLM orchestration (e.g., Vector ...

Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‐effective model deployment via Vertex … designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting ...

BigQuery-specific development, query profiling, partitioning and clustering optimization, and complex analytical query design.Strong hands-on experience with Google Cloud Platform (GCP), including architecture design, implementation, and delivery of scalable production solutions.Deep, hands-on expertise across: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Dataplex, Cloud … methodologies: Dimensional/Kimball, 3NF, Data Vault — with real-world application of eachProduction-level Python: OOP design patterns, async processing, unit/integration testing, GCP SDK usageDemonstrated experience designing CI/CD pipelines for data productsTrack record of leading legacy-to-cloud migrationsEssential — Leadership & ProfessionalDemonstrated technical leadership: you have ...

Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native ...

production AI experiences AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel … ‐native and headless composition; minimum eight years' experience designing and delivering MACH‐based enterprise platforms Cloud platforms: deep hands‐on experience across GCP and Vercel , with strong capability on AWS and/or Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across ...

patterns for production AI experiences.AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design.Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape; with preference for GCP and Vercel … first, cloud-native and headless composition; minimum eight years' experience designing and delivering MACH-based enterprise platforms.Cloud platforms: deep hands-on experience across GCP & Vertex AI and Vercel AI cloud, or equivalent alternatives on AWS and Microsoft Azure; infrastructure design, security and operational ownership, and the ability ...

production Deep understanding of modern full-stack engineering (TypeScript, React/Next.js, tRPC, etc.) Experience with cloud-native infrastructure, especially serverless, AWS/GCP, and CI/CD workflows Expertise in relational and NoSQL data systems (PostgreSQL, MongoDB, Redis) Solid command of system-level concerns—latency, availability, caching, concurrency ...

Amazon Q, Google Duet, Cursor, Devin; improve productivity, quality, and cost.Architecture & Platform Engineering: Define end-to-end GenAI architectures across Azure, AWS, GCP, and build reusable assets.Design, develop, and deploy Physical AI solutions that enable autonomous interaction between AI models and physical systems such as robots, industrial equipment … Prompt Engineering, RAG, LLM APIs (OpenAI, Azure OpenAI, Gemini)AI Dev Tools: GitHub Copilot, Amazon Q, Google Duet, Cursor, DevinCloud: Azure, AWS, GCP; Microservices; DevOpsProgramming: Python, JavaScript/TypeScriptExperience in enterprise-scale AI transformation programsSoft Skills:Strong analytical, problem-solving, and communication abilities.Collaborative mindset with ability to work across ...

storage for high-throughput training workloads. Serve as the authoritative AI infrastructure expert in at least one hyperscaler cloud (AWS, Azure, or GCP), applying deep knowledge of its AI/ML services, accelerators, networking, and cost levers. Design deployment, automation, and CI/CD strategies for reliable, repeatable ...

collaborating in team environments and adapting to changing requirements Understanding of software design principles and engineering best practices Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis) Familiarity with Git for version control and deployment tooling such as GitLab CI/ ...

MLOps. Expert‐level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion ...

ecosystems.Familiarity with vector 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 CompetenciesAI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities ...

environments. Strong stakeholder and client engagement experience. Strong expertise in Snowflake Administration and/or Confluent Kafka Platform. Experience with Azure/AWS/GCP cloud platforms. Good understanding of SCM tool like GitHub and CI/CD pipelines, and automation frameworks. Experience with Kubernetes, containerization, and cloud ...

automation, scalability, and systematic acceleration through the use of AI and agentic workflows.Advanced Cloud Engineering: Strong engineering background in securing cloud platforms (GCP preferred), containerized workloads (Kubernetes/Docker), and deploying robust Zero Trust frameworks.Acute Business & Risk Acumen: Exceptional ability to evaluate security through a commercial and scientific ...

alerting integrated into service templates so every new service is production-ready from day one.Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into.Contribute to our thinking on a potential Azure … GCP migration — helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision.Partner with product engineers to understand where developer experience breaks down — slow pipelines, confusing templates, missing runbooks — and fix the root causes, not the symptoms.Lead technical decisions on platform ...

with Terraform, Harness, Azure DevOps, containers (Docker, Kubernetes). Experience with CI/CD, IaC, and PaaS cloud platforms (Azure and Google Cloud Platform). Previous experience working in financial services organisations. Excellent problem‐solving skills. Cloud and/or security certifications. Experience working within ...

Stack We prioritize fundamental engineering principles over specific tool familiarity. Our current environment includes: Core: Python (Backend) and TypeScript/React (Frontend). Infrastructure: GCP, Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions. Data & Storage: PostgreSQL and Google Cloud Storage (GCS). Observability: ELK Stack, Prometheus, and Grafana. What ...

Airflow, Kafka, or Databricks.Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).Strong communication and collaboration skills with a passion ...

MLOps.* Expert-level understanding of NLP, Embeddings, and Prompt Engineering.* Expert proficiency in Python, React, and TypeScript.* Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).* Experience designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion ...