Cloud Infrastructure Test Engineer Salary between £30,000 - £45,000 This is an excellent opportunity for a Cloud Infrastructure Test Engineer to join our growing Cloud team. Are you someone who can work confidently across Cloud technologies and want to further enhance your career? This is … Perth and you will be required to be in the Perth office 50% of the time. A bit about the job: Acting as a Cloud Infrastructure Test Engineer at the heart of the technical development of our Platform, you will analyse and identify areas of improvements to be … implemented in line with our technology strategy. You will work to identify, define and implement testing improvements across our CloudPlatform, whilst promoting our Engineering Practice, proposing innovative solutions or alternative approaches to our test strategy. Skills and experience we’re looking for: Experience with either AWS or more »
managing dbt (Data Build Tool) for building and maintaining data transformation pipelines. Ability to build Tableau dashboards for data visualization and reporting. Familiarity with GCP (GoogleCloudPlatform) for data storage and processing. Basic knowledge of Python for automation tasks is advantageous. Experience with Databricks is a more »
role, you will lead our web technology stack, utilizing React for Front End development and CMS content on GoogleCloudPlatform (GCP) to deliver cutting-edge web solutions to build strong consumer engagements. Person in this role will partner with Global Marketing business partners, agencies and with … experience ecosystem. Required Skills: Strong understanding of website design, development, and release management Experience with content management systems (CMS) and website analytics tools (eg Google Analytics). Martech experience is a must. ITIL knowledge/experience will be considered as a plus Familiarity with ServiceNow and ticketing systems Strong more »
part of a team Knowledge of cyber security principle Writing clear and accurate technical documentation The following additional attributes would be advantageous Experience in cloud technologies. Experience of working across a range of Government departments. Knowledge of cloud security and architect frameworks such as AWS well architected framework … Cloud Adoption Framework, CIS Standards for Cloud. Experience of working in a consultancy setting. Experience creating solution architectures and designs. Agile certification. Experience creating solution architectures and designs. Use of a variety of network security testing tools and exploits to identify vulnerabilities and be able to recommend corrective action. … engagements. technical teams on client engagements. The following qualifications maybe advantageous: Amazon Web Services AWS Certified Security AWS Architect Professional AWS Certified Advanced Networking GoogleCloudPlatform Professional Cloud Security Engineer Professional Cloud Architect Professional DevOps Engineer Microsoft Azure AZ-500 (Microsoft Azure Security Technologies more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data … Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI more »
BW Epic Kosan and Símbolo Responsibilities About the job As a DevOps engineer at our AI product company, you will define and create the platform for deploying, managing, and optimizing our distributed systems across on-premises, multiple cloud environments (AWS, Azure, GoogleCloud), and Kubernetes. Our … AI solutions. You will ensure our infrastructure is robust, scalable, and secure, supporting the seamless delivery of our innovative products. This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs. Qualifications You have Excellent problem-solving … solid communication and collaboration skills Interest and experience in working on early-stage software and solving various problems Key Responsibilities Deploy, manage, and scale cloud infrastructure, meeting the required SLAs Manage graph and vector databases for optimal performance and reliability Maintain and Operate platform Observability. Ensure system security more »
a huge difference - on us as a company, and on our clients and business partners around the world Job responsibilities Collaborate closely with our platform engineers who will work on enabling product teams to build, test, deploy and run their containerised workloads … Contribute to our cloud native architecture (accounts/projects, IAM hierarchies, networking, etc), following latest industry best practices, across multiple cloud providers (GCP, AWS and later Azure) Contribute to the design and participate in the implementation of our GitHub-based SDLC Design and deliver new features to streamline … intervention solution Engage and collaborate with engineers across the business to understand use-cases, and to define best-practices for use of the infrastructure platform Adopt new, cutting-edge technologies and techniques, where appropriate Implement tooling for infrastructure management, monitoring, and scalability Work with various technology vendors, offering SaaS more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Certes IT Service Solutions
Platform Engineer Fixed Term Contract Role with Company Benefits Salary- £45 - £55K Hybrid- Manchester (With 2 day's working onsite and 3 day's WFH.) We are currently supporting one of our prestigious clients within the Public Sector. We are searching for experienced DevOps/Platform Engineers to … on a Fixed Term Contract basis. You'll have the expertise and confidence to lead the definition and support of the Azure, AWS and GCP delivery platform in complex engagements, typically working in multi-disciplinary teams. Key to this role is supporting and delivering cloud migration programmes. The … some of the following skills and experience. * Familiarity with collaboration suites i.e. Atlassian products (Jira, Confluence) * Hands on with any of Azure, AWS or GCP Services * Automating cloud services * Exposure towards Infrastructure Management, Data Migration. * Scripting with one or more of the following: Powershell, Python, Go * SecOps experience. * Automating more »
effectively within a team environment. Apply strong problem-solving skills with meticulous attention to detail. Required Skills: Proficiency in React, Node.js, TypeScript, Firebase, and GoogleCloudPlatform (including App Engine, Cloud Build, Cloud Run, and Firebase services). Experience with DeckGL Solid understanding of data more »
Position Title: Change Manager - Data and Cloud Job Description: Overview: As a Change Manager specializing in data and cloud technologies, you will play a pivotal role in driving organizational transformation and adoption of advanced data and cloud solutions. You will lead change initiatives, develop strategies, and implement … best practices to ensure successful integration and utilization of data and cloud technologies across the organization. Must be eligible to obtain SC Clearance Responsibilities: Change Management Leadership: Develop and execute comprehensive change management strategies to drive adoption and maximize the benefits of data and cloud technologies. Lead cross … and secure buy-in for change initiatives. Foster a culture of collaboration and continuous improvement, promoting the value of data-driven decision-making and cloud-based solutions. Risk Management: Identify potential risks and barriers to successful change implementation, developing mitigation strategies to address them proactively. Monitor project progress and more »
and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and … crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI and data analytics services. Experience with database management more »
with Labs scaling team to hand-off successful MVPs for scaling Qualifications Must Have skills Extensive experience using Python and SQL Good knowledge of cloud infrastructure (esp. GoogleCloudPlatform) Experience in application development Knowledge of ETL pipelines Nice/Good to Have skills Experience with … key marketing platform APIs (e.g. Google, Meta, Amazon APIs) Domain expertise in digital marketing Experience in front-end development (e.g. JavaScript, React) Good understanding of agile methodology Additional Information COMPANY VALUES TRUST Trust is the cornerstone upon which we build our relationships. We hold ourselves to the highest more »
Senior AWS Platform Engineer - Appvia - Security Clearance eligibility required. Location: London, UK About Us At Appvia, we're committed to helping our customers navigate their journey to Cloud and DevOps maturity. As a leading provider in the industry, we offer cutting-edge technologies and services to support our … Public Cloud Expertise: Understanding of cloud services, architecture, and best practices in one or more major public cloud providers (AWS, Azure, GCP). DevOps Practices: Strong experience with CI/CD pipelines, version control systems, and containerisation technologies (e.g., Docker). Experience Project Leadership: Demonstrated experience delivering … to staying abreast of industry trends, participating in professional development activities, and obtaining relevant certifications. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an associate level is highly desirable, e.g.: AWS Certified: Solutions Architect Associate AWS Certified: Solutions Architect Professional Certification in Kubernetes administration is desirable: Certified more »
Platform Engineering Lead London - Hybrid (candidates must be UK-based) Up to circa £85,000 plus outstanding benefits including car allowance, bonus, private healthcare and strong pension A telecommunications giant are seeking a Platform Engineering Lead to play a pivotal role in the development and delivery of an … Engineering Lead will lead the charge in selecting, configuring, and supporting CloudPlatform components and tooling. Proficiency in cloud platforms (ideally GCP, but Azure or AWS is also fine), OSS (Operational Support Systems) and experience in the telecommunications industry is essential. An ability to self-manage in … for detail, effective communication will be paramount for collaborating with stakeholders and mentoring team members. Key Skills Commercial experience with cloud platforms (ideally GCP, but Azure or AWS is also fine) Experience in managing engineering teams in an Agile environment OSS (Operational Support Systems) Telecommunications industry experience Background in more »
risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and … from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI and data analytics services. Experience with database management more »
risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and … from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or GoogleCloudPlatform, particularly their AI and data analytics services. Experience with database management more »
Job Post: Principal Security Platform Engineer - Cloud Location: London, Hybrid (1 day per week) Type: Full-Time Salary: Up to £90,000 Our client, a highly respected and well-established household name, is seeking a talented Principal Security Platform Engineer - Cloud to join their dynamic team. … make a significant impact on the security posture of a leading organization. Key Responsibilities: Manage and improve the security posture of our client's cloud environments hosted by strategic providers Ensure compliance with security standards and drive remediation processes Optimize security controls and configurations within cloud technologies Contribute … cloud security technologies Experience with Microsoft, Palo Alto, and other popular security toolsets Relevant industry certifications (ISC2, OSCP, ISACA, GIAC, EC-Council, Azure, GCP) As a Principal Security Platform Engineer - Cloud, you will have the opportunity to work with a talented team of security professionals, collaborating with more »
To cope with the business transformation, we have a challenging career opportunity offered and you will have many chances to use the latest and Cloud technologies. As a System Architect, you will be responsible for designing, planning and architecting the enterprise graded business solution by considering business requirements as … and Data architectures for both on-premise and Cloud Solutions Experience in designing and implementing an enterprise graded system in cloud (e.g. GCP, AWS, etc…) or hybrid environments Experience in providing total solution using different technologies in Cloud i.e. Provisioning, Automation, Monitoring, Security, Resilience, Backup and Recovery … Database such as MySQL Git, CICD pipeline, Linux OAuth2, SAML2, JWT, OpenID Connect Certified Architect in one of the CloudPlatform (e.g. GCP, AWS, etc…) would be an advantage Experience in Agile/Scrum development methodology is a plus Strong analytical, problem solving, interpersonal and presentation skills. Self more »
