676 to 700 of 1,757 Permanent GCP Jobs

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 ❯

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 ❯

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 ❯

stakeholders. Proven experience writing clean, reliable OOP code using SOLID principles and common design patterns. Strong track record in building cloud-native architectures to meet scalability and reliability needs (GCP preferred). Hands-on experience with Agile SDLC, embedding security and quality at every stage. Full stack development experience, ideally with: PHP (Laravel, Lumen) JavaScript (jQuery, with exposure to modern 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 ❯

Principal Cloud Security 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats More ❯

Principal Cloud Security 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats More ❯

Principal Cloud Security 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats 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 ❯

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. 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 ❯

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. More ❯

integration: Experience with enterprise-level system architecture, including integrating decisioning engines with customer-facing applications, credit bureaus, and internal data warehouses. Cloud platforms: Familiarity with cloud services (AWS, Azure, GCP) and how they can be leveraged to scale decisioning platforms. Advanced modeling: Expertise in statistical modeling, machine learning, and stress-testing methodologies. Financial acumen: Deep understanding of financial products, the 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 ❯