276 to 300 of 776 Remote 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 ❯

functions. Cultural Influence : You have a passion for promoting a security-first culture through training, awareness, and secure-by-design practices. Adaptability : You thrive in a modern Cloud (AWS, GCP, Azure, Kubernetes, CI/CD) and AI environment, staying current with industry trends. Interview process Intro Call with People Team : A brief conversation to get to know you and your 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 ❯

diverse audiences. Comfortable working in ambiguity and driving clarity through experimentation and data. Preferred Qualifications Experience with speech technologies such as ASR and TTS. Familiarity with cloud environments (AWS, GCP, Azure). Exposure to RLHF, reward modelling, or human preference data collection. Prior work on real-time systems, streaming inference, or memory-efficient model deployment. Benefits and Culture Competitive compensation More ❯

technology teams. Role Highlights Architect & Lead: Design and implement enterprise-level software solutions, including microservices, event-driven architectures, and serverless computing. Cloud & DevSecOps Expertise: Spearhead cloud migrations (AWS, Azure, GCP) and drive DevSecOps best practices. Stakeholder Engagement: Partner with CXOs, product leaders, security teams, and engineering to align technology strategies with business objectives. Technical Governance: Lead and optimise architecture review 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Communicates team work and influences the roadmap within their team. Builds cross-team relationships Has deep knowledge of at least one public cloud provider (AWS preferable, but could be GCP, Azure). Knows about the internals, networking security to a reasonable level. T Shaped engineer - skilled in at least one technology (ie, Java, React) but competent with others. This is More ❯

Communicates team work and influences the roadmap within their team. Builds cross-team relationships Has deep knowledge of at least one public cloud provider (AWS preferable, but could be GCP, Azure). Knows about the internals, networking security to a reasonable level. T Shaped engineer - skilled in at least one technology (ie, Java, React) but competent with others. This is More ❯

of work Ability to convert customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones 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 ❯

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 ❯