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Cloud Computing

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1,361 jobs found.

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🔥 Major Incident Manager

Posted about 3 hours ago

📍 Poland

🧭 Full-Time

🔍 Cloud Implementation

🏢 Company: Nordcloud👥 1001-5000💰 $22,530,997 Series A about 6 years agoInformation Services Cloud Computing Software

🔧 Requirements

Has excellent verbal and written communication skills both with technical and non-technical stakeholders
Excellent analytical skills to diagnose and help resolving complex incidents
Is self-driven and able to work with no/limited supervision
Has Strong attention to detail
Has strong analytical and problem-solving skills
Able to work under the time pressure
Fluent communication skills in English

💡 Responsibilities

Serve as the primary point of contact during major incidents, ensuring timely and clear communication
Identification and assessment of major incidents within a cloud environment
Conduct initial analysis to determine potential root causes using monitoring tools and logs
Assess the impact of incidents on business operations, users, and services
Develop and implement a communication plan, providing regular updates to stakeholders
Manage the escalation process, involving appropriate technical teams and management
Coordinate with third-party vendors or cloud service providers when necessary
Oversee the execution of the resolution plan, ensuring that all resources are effectively utilized
Implement workarounds if needed and monitor the progress towards full resolution
Document the incident, including the cause, resolution steps, and lessons learned
Schedule and lead post-incident reviews to identify improvement opportunities
Contribute to refining the incident management process based on feedback and analysis
Stay updated on best practices in cloud incident management and incorporate them into the process
Contribution to GCOC development and continuous improvement by sharing practices and technical knowledge

AWS Cloud Computing GCP Kubernetes Azure Serverless Communication Skills Analytical Skills CI/CD Problem Solving DevOps Documentation Troubleshooting English communication

Posted about 3 hours ago

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🔥 IT Security Administrator

Posted about 3 hours ago

📍 UK, Europe, Asia

🧭 Full-Time

🔍 Blockchain

🏢 Company: Babylon Labs

🔧 Requirements

Proven experience as an IT Administrator, ideally in a startup environment with a globally distributed workforce.
Strong understanding of threat models in blockchain environment
Proactive application of security principles, including Zero Trust architecture, and their application in a remote work context.
Experience with MDM solutions, Google Workspace, SSO, and cloud SaaS, with a focus on global accessibility and security.
Proficiency in scripting languages (e.g., Python, Bash).
Experience with security tools and technologies suitable for remote management.
Excellent problem-solving and troubleshooting skills, with the ability to adapt to diverse technical environments.
Strong communication and interpersonal skills, with the ability to collaborate effectively with a geographically dispersed team.
Ability to work independently and as part of a team, managing priorities and deadlines
Experience in international hardware shipping
Experience securing GitHub access.
Experience with blockchain technologies

💡 Responsibilities

Design, implement, and maintain a secure IT infrastructure, adhering to Zero Trust principles
Develop and enforce security policies and procedures for all IT systems and devices, taking into account diverse regional regulations and network conditions.
Conduct regular security audits and vulnerability assessments, with a focus on remote access and endpoint security.
Manage device procurement, distribution, and lifecycle for a geographically diverse team
Implement and manage a Mobile Device Management (MDM) solution to ensure device security and compliance.
Administer Google Workspace, SSO solutions, SaaS application and cloud infrastructure (e.g., AWS, GCP, Azure), ensuring secure access and configuration
Manage user accounts, permissions, and access control across all systems with the application of principles such as least privilege and separation of duty
Implement and maintain Single Sign-On (SSO) and multi-factor authentication (MFA)
Implement zero trust secure access from any location.
Evaluate, select, and onboard security solutions (e.g., endpoint protection, SIEM, vulnerability scanners)
Integrate security tools with existing systems and workflows, ensuring effective threat detection and response.
Develop and maintain scripts and automation tools to streamline IT operations and enhance security
Automate security tasks, such as patch management, vulnerability scanning or secure configuration enforcement
Manage relationships with IT and security vendors and service providers
Evaluate vendor security practices and ensure compliance with company policies
Participate in security incident response and investigations, coordinating with remote team members and external partners.
Provide technical support to employees across multiple time zones and locations.
Conduct IT security awareness training for employees, tailored to the specific risks and challenges of a distributed workforce.

AWS Python Bash Blockchain Cloud Computing Cybersecurity GCP Azure CI/CD Linux DevOps Terraform Scripting SaaS

Posted about 3 hours ago

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🔥 Engineering Manager (Claims Platform)

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 198050.0 - 233000.0 USD per year

🔍 Health Tech

🔧 Requirements

3+ years of experience as an Engineering Manager
3-5+ years of experience as a Software Engineer
Track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
Strong technical foundation
Strong product mindset
Track record of working well across teams and functions
Prior experience with Python and React (Nice to have)
Experience working with AWS infrastructure (Nice to have)
Experience in health tech, building user-facing products (Nice to have)
BS, MS in Computer Science or related field

💡 Responsibilities

Lead and manage a team (or teams) of 8+ engineers
Ensure there is process and product alignment across your team
Develop and grow your team through weekly 1-1s, mentorship, and feedback
Work with and help develop aspiring engineering leaders within the engineering team
Contribute to the broader company strategy and product roadmap
Help build out our engineering team as the headcount grows from 80 to 120+ through the remainder of the year

AWS Backend Development Docker Leadership PostgreSQL Project Management Python Cloud Computing Data Analysis Kafka People Management Product Management React.js TypeScript Cross-functional Team Leadership Algorithms Data Structures FastAPI REST API Redis Strategic Management React Spark Communication Skills Analytical Skills CI/CD Problem Solving Agile methodologies Mentoring Relationship building Team management Software Engineering Debugging

Posted about 4 hours ago

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🔥 Site Reliability Engineer

Posted about 4 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: TCGPlayer_External_Career

🔧 Requirements

5+ years of experience in Site Reliability Engineering or related roles
Experience with an enterprise monitoring solution (New Relic, Scalyr, Datadog, Etc)
Experience managing Linux and/or Windows environments
Experience with IaaS and PaaS solutions (i.e. AWS, GCP, Azure, etc.)
Experience with Infrastructure as Code (Terraform or Helm)
Knowledge of Kubernetes / ECS orchestration, and containerization (e.g. Docker)
Demonstrable expertise around specifying, designing and/or implementing system health, performance monitoring tools and software management tools for 24x7 environments
Proficiency in writing code / scripts to automate tasks
Excellent critical thinking and solving skills

💡 Responsibilities

Innovate, build, and evangelize the practice of site reliability so that TCGPlayer can deliver excellent customer experiences.
Define and measure key performance metrics, such as SLAs and Mean Time Between Failures (MTBF), using those metrics to identify trends and measure the impact on the business.
Develop and maintain up-to-date operational procedures, including runbooks, to adapt to evolving needs.
Anticipate system failures through practices like chaos engineering and tabletop exercises, and establish processes to learn from operational incidents.
Foster strong relationships within the team and across departments while cultivating a communicative, supportive, and results-oriented culture.

AWS Docker Cloud Computing GCP Kubernetes Azure CI/CD RESTful APIs Linux DevOps Terraform Microservices Scripting

Posted about 4 hours ago

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🔥 Sales Engineer (Azure)

Posted about 4 hours ago

📍 United States

💸 220000.0 - 230000.0 USD per year

🔍 Medical Device

🏢 Company: Symmetrio

🔧 Requirements

Strong knowledge of Azure services, networking, cloud security, and hybrid architectures.
Minimum of 5 years in cloud pre-sales, solution architecture, or IT consulting, preferably in the healthcare sector.
Excellent communication, problem-solving, and relationship-building skills.
Familiarity with medical systems, clinical data management, and regulatory compliance (e.g., HIPAA) is preferred.
Microsoft Azure certifications (e.g., Azure Administrator, Azure Solutions Architect) preferred.

💡 Responsibilities

Partner with the sales team to provide technical expertise and support throughout the sales cycle, including pre-sales activities, presentations, and product demonstrations.
Collaborate with clients to understand their existing systems and pain points, offering tailored solutions to facilitate seamless migration to cloud-based platforms.
Develop and deliver technical presentations and proposals that effectively communicate the value of cloud solutions to stakeholders, including technical and non-technical audiences.
Provide hands-on technical guidance and troubleshooting during proof-of-concept trials and solution deployments.
Act as a liaison between the sales, engineering, and product management teams to ensure customer requirements are clearly understood and addressed.
Continuously stay updated on advancements in Azure technology and cloud solutions relevant to the medical technology sector.
Monitor cloud performance, optimize costs, and ensure compliance with service-level agreements (SLAs).
Ensure compliance with industry standards, regulations, and best practices during migration projects.

Cloud Computing Microsoft Azure Azure RESTful APIs Networking

Posted about 4 hours ago

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🔥 Data & AI Engineer (Frankfurt, Germany)

Posted about 7 hours ago

📍 Germany

🔍 AI and data analytics consulting

🏢 Company: Unit8 SA

🔧 Requirements

MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
Proficient in one of the following languages: Python, Scala, Java.
Experience with cloud technologies is a strong plus.

💡 Responsibilities

Work with our customers to understand their challenges, design and implement solutions.
Closely collaborate with other data scientists, software engineers and business stakeholders.
Evaluate, compare and present results to technical and non-technical audience.
Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
Implement best practices in CI/CD

AWS Docker Python SQL Cloud Computing Data Analysis ETL Java Kubernetes Machine Learning Algorithms Data engineering Data science Spark CI/CD RESTful APIs Scala Software Engineering

Posted about 7 hours ago

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🔥 Technical Operations Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

2+ years in a TechOps, IT, Engineering, or DevOps role
Proficiency in Python or JavaScript plus basic software engineering knowledge
Strong SQL skills and knowledge of database technologies
Experience working with APIs
Experience with automation tools like Cypress or similar
Experience with version control and CI/CD pipelines
Experience working with AI and LLMs
Familiarity with macOS and IT management
Familiarity with monitoring tools such as Datadog and Sentry
Familiarity with cloud platforms such as AWS, Azure, or GCP
Familiarity with containerization and orchestration tools such as Docker and Kubernetes
Understanding of networking concepts, including TCP/IP, DNS, and load balancing

💡 Responsibilities

Write code and tools to streamline operations
Act as a primary responder to technical incidents
Support internal IT processes
Monitor system performance
Ensure systems adhere to security best practices
Work closely with Engineering, Customer Support, and Product teams
Maintain comprehensive documentation

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Javascript Kubernetes API testing Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs DevOps Written communication Networking

Posted about 7 hours ago

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🔥 Senior Software Engineer, AI

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

5+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Ability to collaborate on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWS Backend Development GraphQL PostgreSQL Python SQL Artificial Intelligence Cloud Computing Data Analysis Data Mining Full Stack Development Git Keras Machine Learning Numpy PyTorch React.js Software Architecture TypeScript Data engineering REST API Pandas React Tensorflow CI/CD DevOps NodeJS Software Engineering

Posted about 7 hours ago

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🔥 Senior Platform Engineer, Machine Learning

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Audit and advisory industry

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems
Experience with ML frameworks
Experience with cloud platforms, preferably AWS
Experience with container runtime architectures, preferably Kubernetes
Proficiency with at least one programming language, preferably Python or Typescript
Familiarity with CI/CD practices and tools
Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
Strong understanding of distributed systems and microservices architecture
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Design and implement infrastructure for ML model management, including training, deployment, and monitoring
Build and maintain platforms for running ML algorithms at scale
Develop systems for A/B testing, performance monitoring, and continuous model training
Create and manage ETL infrastructure to support ML workflows
Implement best practices for MLOps, including version control for models and datasets
Collaborate with ML Engineers to optimize model performance and resource utilization
Ensure the scalability, reliability, and security of ML systems
Stay current with the latest advancements in MLOps and cloud technologies
Contribute to the development of internal tools and frameworks to improve ML workflow efficiency
Be an essential technical contributor at a Series B-stage company as it scales

AWS Docker Python Cloud Computing ETL Kubernetes Machine Learning CI/CD Terraform Microservices Software Engineering

Posted about 7 hours ago

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🔥 Forward Deployed Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

3+ years in a technical role, ideally within software deployment, customer success engineering, or field engineering. Experience with enterprise or SaaS software is beneficial.
Hands-on experience in software engineering, systems integration, or related fields, with proficiency in modern programming languages (e.g., Python, TypeScript) and cloud technologies. Familiarity with AI and machine learning models such as GPT is a plus.
Strong understanding of systems integration and data migration processes, with experience in ensuring seamless interoperability with client systems and tools.
Proven experience working in a customer-facing role, with the ability to translate complex technical concepts for a range of stakeholders, both technical and non-technical.

💡 Responsibilities

Serve as the technical lead for large customer deployments, collaborating with client teams to customize and integrate the Fieldguide platform into their workflows.
Partner with internal engineering and product teams to design and implement solutions that address specific customer requirements.
Build strong relationships with stakeholders, providing guidance and proactive support to ensure smooth deployment and long-term platform success.
Diagnose and resolve technical issues during deployments, including hands-on, onsite support as needed for optimized performance.
Communicate customer insights to Product and Engineering teams, influencing the roadmap and enhancing the platform’s adaptability.
Conduct technical training for customer teams, equipping them to maximize the platform’s value in their workflows.
Travel for onsite engagements (5-10%) to provide direct support during key implementation phases.

Python Cloud Computing TypeScript API testing Communication Skills Analytical Skills RESTful APIs Troubleshooting Technical support Software Engineering Debugging Customer Success SaaS

Posted about 7 hours ago

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