376 to 400 of 2,849 Permanent Cloud Computing Jobs

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

engagements, risk activities, and project initiatives. Work closely with Third Party Oversight teams to ensure effective technology risk management of vendors engaged by technology partners, with a focus on Cloud computing/emerging technologies. Required qualifications, capabilities and skills: Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls via Threat Modeling and Security Design & Architecture Reviews … Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud (GCP & AWS), artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Ability to communicate effectively and authoritatively with technical and non-technical stakeholders Strong written and … and emerging technologies to select or recommend the best solutions for the future state architecture Demonstrated practical expertise within Product Security including but not limited to: Deploying products using Cloud and containers technology (e.g., GCP, AWS, Kubernetes, Docker) Securing APIs and micro-services Securing Software as a Service (SaaS) tools and managing their security baseline posture Software Supply Chain More ❯

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role seeking a software engineer experienced in cloud computing and distributed systems. Responsibilities: Design and develop highly-scalable, fault-tolerant, and event-driven systems. Take ownership of tasks with a high degree of autonomy. Collaborate with … confident deployment processes. Qualifications: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana). Curiosity and eagerness to learn. Strong analytical and problem-solving skills with attention More ❯

Machine Learning and R&D Engineer (KTP Associate) will be supervised and mentored by both a lead academic and academic supervisor academics from Birmingham City University's College of Computing and Digital Technology within the Faculty of Computing, Engineering and Built Environment (CEBE) as well as a company supervisor located at Buro Happold Limited whose aim is to … Extraction and Retrieval techniques. Proven understanding of NLP and large language models. Proven understanding of database concepts (differences between graph/relational/non-relational). Proven familiarity with cloud computing platforms (e.g., AWS, Azure, GCP), Azure preferred. Experience with version control tools (i.e. Git). Experience with dataset and model versioning tools is a plus. Experience with … knowledge of Windows, and willing to learn basic knowledge of some Microsoft-based tools needed for data acquisition and deployment (mainly SharePoint). Desirable: Experience with Azure or other cloud services. Experience with dataset versioning tools (e.g. DVC) Experience with ML models versioning tools (e.g. MLFlow) Understanding of data structures, algorithms, OOP concepts. Understanding of basic software engineering design More ❯

for intelligence analysts to harness the latest technological advancements securely. It is orchestrated through Data and Analytics, Sense Making/Automation, Augmentation and AI (AAA), Networks, Hybrid and Multi-Cloud, Enterprise Services, and cybersecurity capabilities. This structure allows integration, synchronization, and coordination with the Intelligence IC, Department of Defense (DoD), and commercial partners. The AF IC's ability to … different data architectures (e.g., data warehousing, data lakes, data mesh), data modeling techniques, and metadata management. Experience working with or contributing to the design and implementation of data architectures. • 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 Intelligence Community (IC): Knowledge of IC data standards, policies, and practices would be highly valuable. • Data Integration/ELT: Familiarity with the concepts and principles of building and scaling Extract, Load, Transform (ELT) pipelines. Experience overseeing or managing projects involving data pipeline orchestration, data quality management, and performance optimization. Knowledge More ❯

you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high degree … are looking for: Back-end development: At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms More ❯

experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance … experienced Professional Services Delivery Manager, you will be responsible for: Building and managing a high-performing team of Delivery Consultants Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to deploy solutions and provide input on new features Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers Managing practice P&L, ensuring on More ❯

improve performance, scalability, resilience and efficiency. Key Responsibilities Assisting the Infrastructure Engineers in supporting and improving the company's technology infrastructure, which includes multiple office locations and various Microsoft Cloud subscriptions Working alongside the Cloud Infrastructure Leads to help implement standardized templates and configuration baselines, enabling approved teams to efficiently use cloud resources Assisting in building and … maintaining infrastructure technologies and solutions, including compute, storage, networking, physical infrastructure, software, and both commercial and open-source solutions, as well as cloud computing (IaaS, PaaS, SaaS) Contributing to efforts to automate manual or repetitive infrastructure tasks, under the guidance of senior engineers, to improve efficiency Helping to maintain secure infrastructure components, including identity and access management, patching … and disaster recovery, while following best practices in security and compliance Supporting processes and controls to ensure maximum uptime and quick service for both physical and cloud-based systems, contributing to operational excellence Staying up to date with information security principles and practices that help mitigate risks within infrastructure solutions Learn and adopt modern infrastructure standards and practices under More ❯

and technical design. Responsibilities Responsible for leading new product development of embedded Linux applications focusing on the areas of network communications, security, and management, as well as IoT, Edge Computing and Cloud Computing applications. Managing software engineering teams and execute full software development life cycle (SDLC) Develop flowcharts, layouts and documentation to identify requirements and solutions Develop More ❯

and align solutions with customer strategies and requirements Lead technical risk assessments for complex, integrated, and non-standard projects to support management approvals Design secure and scalable edge-to-cloud solution architectures that address customer objectives and enable digital transformation Prepare and deliver value-based workshops to identify customer pain points, desired outcomes, and relevant use cases Support execution … field, with 10+ years of technical experience in enterprise environments, particularly in digital buildings and smart infrastructure Strong knowledge of smart building technologies, IoT platforms, and solution architectures - especially cloud-based and edge-to-cloud models Solid understanding of IT/OT integration, cybersecurity principles, and industry-standard communication protocols (including API/SDK) Proficiency in operating systems … Windows Server, Linux), databases (MS SQL, Oracle, MongoDB), high availability systems (e.g., VMware, Hyper-V, Citrix) and cloud platforms (AWS, Azure) Practical experience in delivering consulting services, including customer co-creation, design-thinking workshops, and use case development Experience in ROI validation, value engineering, and aligning solutions with customer KPIs and business outcomes Exposure to verticals such as datacenter More ❯

robust database infrastructure to optimise internal data workflows and enable scalable access to data to consultants and to our in-house modelling software. Develop and maintain computational infrastructure, including cloud-based solutions, to enable efficient and scalable stochastic modelling of power systems and energy assets across European and global markets. Lead the design and improvement of UI/UX … consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: e.g. JavaScript/TypeScript, React, Dash, or similar frameworks Backend APIs: FastAPI, Flask More ❯

using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. Stay updated with the latest trends and developments in the … data engineering field, such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key … Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL More ❯

Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology - Capital Management , you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your … your team (metrics, alerting, logging, automation, resiliency, capacity, performance) Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering concepts and proficient applied experience in public cloud such as AWS or Azure or GCP Proficient in at least one programming such as Python, Go, Java/Spring Boot Expertise in at least one technology stack designing … coding, testing, and delivering software Experience with Kubernetes. Experience in cloud computing (preferably AWS). Proficiency in one or more technology domains, may be a cross-domain expert able to solve complex and mission critical problems within a business or across the firm Excellent debugging and trouble shooting skills Ability to contribute to large and collaborative teams and More ❯

Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like More ❯

and practices. Previous Technical Product Management or Technical Product Ownership experience, or experience working in an adjacent technical role. Experience with architecture patterns such as Microservices architecture, Serverless and Cloud computing, RESTful APIs etc. Strategic thinking; ability to set a clear vision, prioritise and plot a roadmap to get there. Analytical and problem-solving skills using data and … insight. Ability to communicate confidently with a wide range of stakeholders, including both technical and non-technical. Proficiency in cloud computing services like AWS and Azure. Hands-on experience with containerization technologies, particularly Kubernetes. Advanced skills in utilizing log analysis tools such as Splunk. Leadership in architecture and design. Experience in implementing and managing cybersecurity measures to protect More ❯

Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like More ❯

understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. Strong project More ❯

Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like More ❯

s Trusted Research Environments (TRE), and contributing to roadmap design, adoption, implementation and management. Supporting the Architecture evolution by driving design and delivery of multi-environment and potential multi-cloud compute capability development and maturity Technology analyst supporting the adoption of TREs to support DS team activities, and management of TREs Technical design and implementation of infrastructure technology architecture. … in Working as an IT analyst/Administrator of complex and/or niche IT systems Experience as a Linux support analyst/system administrator History of working with Cloud computing (Azure preferred), containerisation (Docker), orchestration (Kubernetes) and Infrastructure as Code (e.g. Terraform) Technical support of HPC. Working for Architects to deliver change in IT infrastructure. Previous experience … engages with multiple teams and stakeholders to align goals and manage interdependencies. Decision making and problem solving – analyses available information and makes data-driven decisions independently in familiar situations. Cloud and infrastructure management – manages cloud-based platforms, optimizing performance and security. Enterprise architecture and system integration – designs and maintains modular, scalable architectures Cybersecurity and compliance – implements security controls More ❯

you’ll be adept at building relationships with internal and external stakeholders, end users, and third parties to understand business requirements, define architectural standards, and develop scalable and secure cloud architectures. Your role will involve providing technical leadership, guiding teams through the entire project life-cycle, and ensuring alignment with industry best practices and Azure architectural principles. What you … enterprise-scale solutions on the Microsoft Azure platform, considering factors such as scalability, availability, security, and cost optimization. Define and enforce architectural standards, guidelines, and best practices for Azure cloud solutions, ensuring alignment with organizational goals and industry standards. Conduct architectural reviews and provide guidance to development teams on implementing Azure services and technologies effectively. Design and implement highly … and implementing enterprise-scale solutions on the Microsoft Azure platform. In-depth understanding of Azure services and technologies across compute, networking, storage, databases, security, and governance. Strong knowledge of cloud computing concepts and architectures, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Experience with architecting and implementing microservices More ❯

like Oracle Proficiency in multiple high level programming languages (e.g., C++, Java, Python) Experience with geospatial data and/or large imagery archive systems is a plus Experience with Cloud computing environments such as AWS Knowledge of and experience with software design patterns and heuristics and their application. Development methodologies (e.g., Waterfall, Agile, and/or Iterative) Scripting … supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet More ❯

practices pertaining to the risk and controls of the technology assets and systems, adherence to policies, standards, and procedures. Risk assessment of the impact of changing application, infrastructure, and Cloud computing services on the Goldman Sachs technology portfolio. Coordination and key participation in the development of the evolving risk position of new technology and third-party software. For … Technology Audit, Application Security, Software/Infrastructure Engineering, or related fields. Experienced in regulatory technology related examinations. Proven ability to perform test of controls (design and operating effectiveness) e.g. Cloud, SDLC, AI/ML, Change Management, Identity and Access Management, Third Party, Encryption, Configuration Management, Patching, Network Security, Incident Response, Capacity and Resiliency. Knowledge with technology application and infrastructure … components such as Servers, Storage, Networking, Application Development, SDLC, End User Platforms, Digital Workflow, Artificial Intelligence & Machine Learning, Cloud technologies, Data Engineering, Mobile/Web, and Database Management systems. Ability to review code (Java, C#, C++, Python, VBA macros etc.) Systems development/SDLC tools and processes (SVN/CVS, build, software testing, configuration, and deployment) Linux and Windows More ❯