451 to 475 of 1,255 Permanent Google-Cloud-Platform Jobs

and streaming architectures Knowledge of Delta Lake or similar data lakehouse technologies Experience with CI/CD pipelines for data deployments Cloud platform expertise (AWS, Azure, or GCP) Contributions to open-source projects Progression Inc. is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex More ❯

LLD documentation and architectural blueprints. Familiarity with architecture frameworks (e.g. TOGAF ) and delivery models ( Agile, DevOps, Kanban ). Strong technical understanding of cloud environments across hyperscalers (AWS, Azure, GCP), ideally holding a Professional Cloud Architect certification or equivalent. Solid grasp of the modern threat landscape, malware behaviour, and detection approaches. Strong communication and presentation skills; able to clearly More ❯

use of capacity management toolsets, e.g. NetApp Data Infrastructure Insights, NetApp AIQUM, Visual One Intelligence Experience of cloud based storage solutions, preferably NetApp CVO in the Google Cloud Platform Experience in Infrastructure as Code and CI/CD technologies, e.g. Ansible, Terraform, Jenkins, Argo, Bamboo Company Benefits: Bonus Programme Equity Programme Employee Stock Purchase Plan (ESPP More ❯

software development lifecycle (SSDLC) and experience embedding security into agile, DevOps, and CI/CD environments. In-depth technical knowledge of application security architecture, cloud platforms (AWS, Azure, GCP), microservices, APIs, and identity/access management. Strong familiarity with modern programming languages, frameworks, and security vulnerabilities (e.g., OWASP Top Ten, SANS 25). Proven experience driving digital transformation initiatives More ❯

strong understanding of LLM-powered applications, including agents, tools, and prompt engineering. Experience with agent frameworks like LangChain or LangGraph. Familiarity with cloud-native systems, especially Google Cloud Platform (Firestore, GCS). Exposure to survey research tools or statistical packages. You're not afraid of maths (bonus if you've studied stats or calculus). Behaviours More ❯

cloud infrastructure and large-scale cloud apps Experience with digital transformation and integration projects Ability to quickly understand client problems and present technical solutions Experience with AWS, GCP, Microservices, Java, and PostgreSQL About you Collaborative and self-motivated Focused on delivery and client success Effective communicator across roles and backgrounds Comfortable traveling nationally and internationally Interview process Our More ❯

team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts More ❯

software development lifecycle (SSDLC) and experience embedding security into agile, DevOps, and CI/CD environments. In-depth technical knowledge of application security architecture, cloud platforms (AWS, Azure, GCP), microservices, APIs, and identity/access management. Strong familiarity with modern programming languages, frameworks, and security vulnerabilities (e.g., OWASP Top Ten, SANS 25). Proven experience driving digital transformation initiatives More ❯

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 ❯

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 ❯

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 ❯

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 More ❯

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 ❯

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 More ❯

experience leading cross-functional engineering initiatives at scale, with ability to influence without direct authority. Expertise in modern software architecture, distributed systems, and cloud infrastructure (AWS, Azure, or GCP). Deep hands-on experience integrating AI/ML systems into production environments, including LLMs, RAG, vector search, and AI agents. Strong ability to communicate technical strategy to executives, engineers More ❯

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 More ❯

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 More ❯

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 More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯