501 to 525 of 1,379 GCP Jobs

iGaming Hands-on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or More ❯

iGaming Hands-on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or More ❯

streaming and cloud-native solutions. Data . Solving enterprise data and analytics problems using technology. Cloud . Hands-on Public Cloud experience in either AWS/Azure/Google Cloud Platform, both their services and how to work in the cloud such as DevOps-centric approach. Security . Having worked in sensitive data environments and ideally have experience facing off More ❯

Python, Full Stack) but be happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such More ❯

with the ability to present technical concepts to both executives and engineering teams. Preferred Qualifications Experience supporting federal government programs or regulated industries. Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid environments. Relevant certifications such as AWS Certified Solutions Architect, Google Professional Data Engineer, Azure Solutions Architect Expert, or Databricks certifications. System One, and its subsidiaries including Joulé, ALTA More ❯

stakeholders. Deploy and Scale AI Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to More ❯

product development lifecycles. Excellent analytical, communication, stakeholder management, project, problem-solving and leadership skills. Strong understanding of enterprise systems, digital transformation, systems and process improvement. cloud platforms (AWS, Azure, GCP), APIs, and microservices. Familiarity with tools like Salesforce, Oracle, SAP, MS Power Platform, or similar. Certification in Agile, PMP, Six Sigma, or similar is a plus. Why Join Us? Work More ❯

Roles Include: Systems Administration (Windows, Linux, Cloud, Virtualization) Network Engineering & Administration (LAN/WAN, Firewalls, Routers, Switches) Cybersecurity & Information Assurance (SOC Analyst, ISSO, Incident Response) Cloud Engineering (AWS, Azure, GCP) Help Desk/Technical Support (Tier 1-3) DevOps & Automation (CI/CD, Scripting, Infrastructure as Code) Database Administration (SQL, Oracle, NoSQL) IT Project Management (Agile, PMP, ITIL More ❯

a must Desirable Skills Good familiarity with recent developments in GenAI and LLMs Econometrics/Financial Engineering background Time series modelling Revenue and other company financials modelling Cloud (AWS, GCP, Azure) Experience with model visualization and explainability About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of More ❯

techniques Solid understanding of Large Language Models, including how to apply multi-modal models and when to apply prompt engineering and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in Computer Science, Statistics, Data Science or equivalent Experience building and commercialising ML models More ❯

and business analysis. Expertise in cost and impact estimation for solution development. Familiarity with formal architecture frameworks (e.g., TMF, TOGAF). Experience with cloud platforms and technologies (AWS, Azure, GCP). Working knowledge of security design principles and best practices. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications TOGAF or equivalent certification. Experience in Telecom/IT/Cloud More ❯

AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate about ethical, impactful use of AI in business. Benefits: Hybrid working Training budget More ❯

AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate about ethical, impactful use of AI in business. Benefits: Hybrid working Training budget More ❯

with 8 years, master's with 6 years, or PhD with 4 years Deep expertise in big data platforms (e.g., Hadoop, Spark, Kafka) and multi-cloud environments (AWS, Azure, GCP) Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) Strong programming skills in Python, Java, or Scala Familiarity with data pipeline development and real-time data processing Proven ability More ❯

Docker, Kubernetes, CI servers,Git, Artifactory, and build tools. Strong experience building software pipelines using diverse DevOps tools. Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) - mandatory. Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments. Experience delivering POVs and technical demonstrations to diverse stakeholders, fromtechnical teams to business leaders. More ❯

enhancing technologies Experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data federation/cached services familiarity, data More ❯

enhancing technologies Experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data federation/cached services familiarity, data More ❯

practices and frameworks. Essential Skills Active SC Clearance (must be current) Strong experience in AI/ML engineering (Python, TensorFlow, PyTorch, etc.) Experience with cloud platforms (AWS, Azure, or GCP) Solid understanding of data pipelines, APIs, and MLOps Excellent problem-solving and communication skills More ❯

development role Ample experience building high volume services and systems for a cloud-delivered SaaS product Solid grounding in the technology of at least one cloud environment (AWS, Azure, GCP) The ability to scale backend systems - sharding, partitioning, scaling horizontally are second nature to you. The ability to troubleshoot and pinpoint system failures across a pipeline of services. The desire More ❯

Hands-on experience integrating Shopify tracking and cookie consent frameworks (Transcend, One Trust). Ensure tagging and tracking adhere to GDPR, CCPA, and other privacy regulations. Sr Data Engineer - GCP Dataflow and Dataproc, ETL/ELT, python and SQL. More ❯

defining data policies, standards, and procedures • Data Architecture: Experience working with or contributing to the design and implementation of data architecture • Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) and their data services, including storage, compute, analytics, and security offerings. Familiarity with cloud-based data warehousing, data lake solutions, and cloud migration strategies • Understanding of the IC: Knowledge of More ❯

validate AI use cases and accelerate adoption ️ Ensure AI solutions are explainable, auditable, and scalable ️ Collaborate on selecting third-party vendors for AI tooling ️ Use cloud platforms (AWS, Azure, GCP) to deploy scalable solutions ️ Evaluate algorithm performance and optimize through tuning and retraining ️ Ensure compliance with GDPR, AI Act, and industry regulations ️ Stay up to date with AI trends and More ❯

re Made For This Experience working directly with non-technical stakeholders and reporting to non-technical leadership Professional experience maintaining production services Experience with any popular cloud provider (AWS, GCP, Azure) Proficient in some modern programming languages like TypeScript, Python, Go, etc. Professional experience with infrastructure-as-code tools such as Terraform, Salt, and container orchestration technologies Excellent communication, interpersonal More ❯

and impact tracking. Requirements Technical Experience 10+ years of technical experience in Cloud DevOps, SaaS, or observability, with 5+ years in leadership roles. Strong hands-on experience with AWS, GCP, Azure, K8S, Terraform and observability tools: Prometheus, Grafana, OpenTelemetry, ELK, Splunk, Datadog, and similar. Proficiency with metrics, logs, traces and APM. Leadership & Global Operations Proven success leading multi-regional or More ❯

and collaboration - GitHub Knowledge is desirable, but not essential in the following: Microsoft SharePoint 2013/Online ?" publishing features Good working knowledge of cloud technologies like AWS, Azure and GCP Agile methodologies ?" Scrum, Kanban Agile Tooling ?" Jira, Confluence, Slack In addition to the details listed above, the ideal candidate will have a mindset of an Innovator: curious, meticulous, connected, creative More ❯