526 to 550 of 1,379 GCP Jobs

technologies to be leveraged by the team including Java, CI/CD technologies Experience working with containerization and orchestration platforms (Kubernetes/Openshift) and cloud providers like AWS, Azure, GCP or others. Not all these tech skills are mandatory These are entry to midlevel role allowing you to spearhead your experience in a fast-paced role with a leading Fintech More ❯

SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

do Our projects are delivered with the support of specific, non-industry aligned Practice expertise, which includes: Applications, Infrastructure & Security Modernization (including: Enterprise Architecture; Cloud & Technology Modernization (AWS, Azure, GCP); CyberSecurity & Resilience; DevSecOps; Program Assurance) The business is building for growth and we are looking to expand our capabilities at Associate Director or Director level. What you need We’re More ❯

and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding More ❯

and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding More ❯

for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems and a desire to make a lasting impact. Please note - this client is unable to offer sponsorship. Job Owner: d.prosser More ❯

in version control (monorepos), documentation, CI/CD pipelines, code reviews, package and artifact management (Cargo, PyPI, NPM), build systems, containerization (Docker), and cloud platforms (AWS preferred, Azure/GCP a plus). Preferred Skills • Large Language Models (LLMs): Experience with LLM inference servers, major frameworks (LangChain, LlamaIndex), RAG techniques, vector databases, prompt engineering, token optimization, and model quantization. • System More ❯

Specification: We're looking for someone with: Minimum 3 years' experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in C# Ability to create and troubleshoot More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

Solution architecture Data architecture ERP/CRM/SCP architecture Integration architecture Cloud-native architecture Experience in Data concepts (management, security, governance, database, integration, quality) Modern cloud exposure (AWS, GCP, Azure) Experience in reporting and analytics is welcome Fluent English, Dutch and/or French Who You'll Work With Who You'll Work With BCG Managing Directors and Partners More ❯

In-depth knowledge of security operations, including SIEM, EDR, IDS/IPS, malware analysis, and vulnerability management Strong background in cloud security operations and monitoring across AWS, Azure, and GCP Preferred Proven success in incident resolution within SLAs and based on severity. Experience in threat hunting, digital forensics, or malware analysis. Knowledge of advanced persistent threats (APTs) and contemporary attack More ❯

event-driven, API-first). Knowledge of integration technologies and platforms (REST, SOAP, message queues). Excellent stakeholder management and communication skills. Experience with cloud platforms (e.g. AWS, Azure, GCP) is highly desirable. Desirable: TOGAF or equivalent architectural certification. Background in Agile/DevOps environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous More ❯

literacy Nice to have: PhD or Master's in Computer Science, AI, or related field Experience with sports data, tracking systems, or analytics platforms Familiarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments Join a team passionate about research, innovation, and More ❯

strong relationships and facilitating productive discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop pragmatic solutions that address clients More ❯

written and verbal. Preferred Qualifications Relevant certifications such as GIAC (GCIA, GCIH, GMON), CompTIA Security+, CySA+, CEH, or Microsoft SC-200. Experience with cloud security monitoring (Azure, AWS, or GCP). Familiarity with scripting or automation tools (Python, PowerShell, etc.) to streamline SOC processes. Exposure to threat intelligence platforms and integration into SOC workflows. Previous consulting or client-facing experience. More ❯

processes using data from financial systems. Experience with ERP platforms (Oracle, UCPath), and business intelligence tools (Cognos, Tableau, Power BI). Familiarity with data warehousing, cloud computing (AWS, Azure, GCP), and automation tools. Ability to analyze large datasets and develop financial reports that align with UC's financial reporting standards. Strong problem-solving, analytical thinking, and collaboration skills. Preferred Skills More ❯

Position title: IT Platform Engineer Senior Position #:JR102363 This position is available within the University of Maryland's Division of Information Technology (DIT). As a Senior IT Engineer, you will play a pivotal role in our organization by More ❯

3+ years in architecture or platform ownership Proven experience with international clients, particularly in US, UK, European, or Australian markets, strongly preferred Technical Expertise Deep expertise in AWS and GCP cloud services, covering storage, compute, data processing, analytics, and serverless platforms (e.g., AWS S3/Redshift/Glue/Lambda, GCP BigQuery/Cloud Storage/Dataflow/Cloud Functions … Python, and data modeling for analytical and operational use cases Hands-on experience with production-grade ETL/ELT frameworks and workflow orchestration (e.g., Airflow, dbt, Talend, AWS Glue, GCP Dataform/Cloud Composer) Proven ability to design, deploy, and optimize data warehouses and lakehouse architectures using technologies like BigQuery, Redshift, Snowflake, and Databricks Experience with Infrastructure as Code tools … e.g., Terraform, AWS CloudFormation, GCP Deployment Manager) for cloud resource provisioning and management Proficiency with CI/CD pipelines and DevOps practices for data applications, including Git-based workflows and containerization/orchestration using Docker, ECS, GKE, or Kubernetes Platform and Architecture Skills Solid understanding of platform engineering concepts including observability, monitoring tools (CloudWatch, Prometheus, Grafana), and automated scaling Proven More ❯