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🔥 NOC Support Administrator

Posted about 1 hour ago

📍 India

🔍 Data and cloud solutions

A minimum of 2 years of experience in a similar role.
Ability to operate in a 24x7 operational environment, including shifts, weekends, and holidays.
GCP background experience in a Linux environment.
Familiarity with Windows, Linux, and Network administration concepts.
Ability to handle stressful situations calmly.
Excellent English communication skills, both verbal and written.
Ability to multitask and respond quickly to issues.
A curious mindset to diagnose problems.
SQL Server knowledge is an asset.
Experience with monitoring tools such as ICINGA, Zabbix, Prometheus, Grafana.
Knowledge of Shell Scripting/Programming for system analysis and process improvements.
Relevant courses and certifications like MCSE, CCNA.

Network Operations Center (NOC) support in a 24x7 environment.
Monitor application performance and system alerts using various monitoring tools.
Respond to incidents and escalate issues according to established protocols.
Trigger operational procedures for various types of production incidents.
Participate actively in customer incidents by providing data, communication and updates.
Maintain knowledge of ITSM Tools and operational procedures.
Coordinate and administer solutions based on needs.
Recommend best practices for operational improvements.
Configure and maintain servers at database and infrastructure level.
Troubleshoot operational problems and perform daily checks.
Communicate status and planning with customers and team members.
Participate in rotational shift pattern and on-call coverage.
Learn database technologies and provide support.

GCP Zabbix Grafana Prometheus Linux

Posted about 1 hour ago

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🔥 Staff AI Engineer / Data Scientist

Posted about 2 hours ago

📍 Turkey

🔍 Digital Transformation & IT Consulting

🏢 Company: Oredata Yazılım Limited Şirketi

Fluent English.
Good consultative skills.
Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering, or equivalent practical experience.
10 to 15 years of professional work experience as an AI Engineer, ML Engineer, Data Scientist, or equivalent.
Growth mindset and willingness to learn about new technologies and approaches.
Can-do attitude with a solution-oriented mindset.

Lead the customer engagement technically from pre-sales to delivery about GenAI, AI, ML, Data Science projects.
Deliver presentations, run workshops, and negotiate with diverse parties in customer meetings to drive win-win outcomes.
Present complex findings and data-driven recommendations to stakeholders in a clear and concise manner.
Collaborate with cross-functional teams to solve business challenges through data-driven solutions.
Drive innovation in AI, ML, Data Science methodologies and tools within the organization.

AWS GCP Machine Learning Azure Data science

Posted about 2 hours ago

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🔥 Principal Software Engineer, Workspaces

Posted about 2 hours ago

📍 Germany

🧭 Full-Time

🔍 Conversational AI / SaaS

Proven experience building and optimizing sophisticated web applications using modern frameworks like React, Angular, or Vue.js.
Knowledge of JavaScript/TypeScript, CSS, and HTML.
Familiarity with scalable component-based designs and efficient API integrations.
A track record of optimizing frontend systems for speed and usability.
Proficiency with CI/CD pipelines, build tools (e.g., Webpack, Vite), and test frameworks like Jest, Cypress or Playwright.
Experience in frontend microservices architecture.
Exceptional narrative skills and advanced proficiency in English.

Design, implement, and enable highly performant, user-friendly frontend applications that drive exceptional customer experiences and scale effortlessly to handle billions of interactions.
Architect and develop new features from scratch using modern frontend technologies, while maintaining and enhancing the existing codebase.
Utilize data-driven approaches to simplify and optimize visual workflows across products, ensuring scalability and accessibility.
Play a critical role in modernizing the frontend tech stack, adopting the latest technologies and practices.
Introduce and lead operational excellence initiatives, including monitoring performance and deploying A/B tests.
Act as a mentor and leader, providing technical guidance and reviewing code.

Cypress Frontend Development GCP Git HTML CSS Javascript Jest TypeScript Vue.Js Angular REST API React CI/CD Microservices

Posted about 2 hours ago

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🔥 Security Architecture/DevSecOps Engineer, Contract-to-Hire

Posted about 2 hours ago

📍 United States

🧭 Contract

🔍 Consulting and professional services, AI-focused solutions

🏢 Company: 66degrees👥 501-1000 Cloud Data Services Data Management Business Information Systems Cloud Infrastructure

5+ years of experience in security engineering or DevSecOps.
Strong understanding of security frameworks (NIST, CIS, OWASP Top 10).
Experience with DevOps tools, security testing, and cloud infrastructure security (AWS, Azure, GCP).
Programming and scripting skills (e.g., Python, Go, Java, Bash, PowerShell).
Experience with IaC tools (e.g., Terraform, Ansible, Puppet, Chef).
Knowledge of securing microservices, APIs, and distributed systems.
Cloud security expertise, including IAM, encryption, and network segmentation.
Strong communication skills and eagerness to work in a highly collaborative environment.
Bachelor’s degree in Information Security, Computer Science, or equivalent.
Relevant security certifications (CISSP, CCSP, CKS, etc.) are preferred.

Integrate security solutions into DevOps workflows and CI/CD pipelines.
Automate security testing (SAST, DAST, IAST) and enforce security-as-code principles.
Review and advise on secure architectural patterns for applications and infrastructure.
Perform threat modeling, risk assessments, and security reviews.
Implement and maintain security automation tools.
Manage vulnerabilities and incidents, collaborating with development and operations teams.
Conduct training and knowledge-sharing sessions on secure coding practices, security testing, and DevSecOps principles.
Continuously assess and improve security processes and tools.

AWS Python Bash GCP Azure DevOps Terraform Microservices Ansible

Posted about 2 hours ago

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🔥 DevOps Engineer

Posted about 21 hours ago

📍 Slovakia, Ukraine

🔍 EdTech, Fintech, eCommerce, Pharma

🏢 Company: Altamira.ai

Experience: Minimum 4 years in DevOps, SRE, or similar roles.
Cloud Expertise: Hands-on experience with AWS, Azure, and GCP.
Automation Skills: Proficiency in scripting languages like Python, Bash, or Shell.
Containerization: In-depth knowledge of Docker and Kubernetes.
IaC Tools: Practical experience with Terraform, Ansible, and CloudFormation.
Networking: Strong understanding of networking concepts.
Monitoring Expertise: Experience configuring observability solutions.
Security: Proven track record in implementing security measures.
Collaboration: Strong interpersonal and communication skills.

Cloud Infrastructure Management: Build, deploy, and manage cloud-based infrastructure.
Automation and CI/CD: Develop and optimize CI/CD pipelines for AI workloads.
Infrastructure as Code (IaC): Utilize tools for consistent infrastructure deployments.
Containerization and Orchestration: Implement containerized environments using Docker and Kubernetes.
Monitoring and Observability: Set up and manage monitoring, logging, and alerting solutions.
Security and Compliance: Implement best practices in security and compliance.
Collaboration: Partner with cross-functional teams to align infrastructure with project needs.
Continuous Improvement: Research and adopt emerging DevOps tools and methodologies.

AWS Docker Bash GCP Kubernetes Azure Grafana Prometheus CI/CD Terraform Networking Ansible

Posted about 21 hours ago

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🔥 Data Scientist (NLP focus) - Remote

Posted about 23 hours ago

📍 Colombia, Venezuela, Bolivarian Republic of, Spain, Argentina

🔍 HR Tech

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed almost 2 years agoInternet

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Physics, or a related field.
Equivalent practical experience or demonstrated projects in AI, NLP, machine learning, or software engineering.
5+ years of hands-on software engineering or data science experience.
Proficient in Python with knowledge of data structures and algorithms.
Comfortable working with SQL (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB, Redis).
Familiarity with transformers, word embeddings, or classical ML approaches.
Experience designing or maintaining hierarchical skill representations.
Experience with AWS, Azure, or GCP.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Curiosity for continuous learning; fluency in English and Spanish is highly desirable.

Conceive and implement the overall system architecture for skill matching.
Develop a roadmap prioritizing cost efficiency, performance, and extensibility.
Build and maintain a taxonomy/ontology for skill relationships.
Automate updates to the skill ontology using AI methods.
Design and build APIs or microservices for skill matching.
Manage database interactions ensuring data accuracy.
Optimize the system for real-time candidate-to-job matching.
Implement monitoring metrics for system performance.
Refine matching algorithms based on user feedback.
Collaborate with product managers to enhance system features.

AWS Python SQL GCP Machine Learning Algorithms Azure Nosql

Posted about 23 hours ago

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🔥 Senior DevOps Engineer

Posted about 23 hours ago

📍 Australia

🧭 Full-Time

🔍 Hospitality technology

🏢 Company: Valsoft Corporation

Must have at least 5 years of experience.
Extensive automation experience and multi-cloud experience.
Knowledge in monitoring, recovery, and incident management.
Proficient in container tech stack, including Docker and Kubernetes.
Experience with cloud providers like AWS, Google, or Azure.
Strong understanding of load balancing, Nginx, and firewall configurations.
Familiarity with Infrastructure as Code (IaC) solutions and DevOps practices.

Focus on building and enhancing current DevOps processes.
Engage in day-to-day activities that support infrastructure expansion.
Work collaboratively with developers to set up deployment scripts and security policies.

AWS Docker GCP Git Nginx Azure CI/CD Linux Terraform Microservices Ansible

Posted about 23 hours ago

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🔥 (881) Data Architect

Posted about 23 hours ago

📍 LATAM

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience in designing, configuring, and implementing major data platforms.
Hands-on experience with at least two of the following: Salesforce DataCloud, Google BigQuery, AWS RedShift/Aurora, Snowflake, Azure Synapse.
5+ Years of experience working with data migration projects involving mainstream databases (e.g., SQL Server, Oracle, MySQL, DB2).
5+ Years of experience in data modeling for Data Warehouses or Data Lakes.
3+ Years of experience with Python.
3+ Years of experience with data security and privacy compliance.
Experience with major cloud technologies (AWS, GCP, Azure).
Proven experience in leading a technical team of data engineers.
Expert in SQL and data modeling for complex enterprise environments.
Experience implementing and managing data catalogs.
Proficiency in handling various data types (structured, semi-structured, unstructured, JSON, AVRO).
Experience in source code control using Git.
Understanding of diverse Data & Analytics architectures.
Advanced English Level is required.

Lead the selection process of the optimal Data Lake and Analytics solution that aligns with customer business needs.
Collaborate to identify top key requirements for platform selection.
Develop a comprehensive comparison (battlecard) of potential Data Lake and Analytics platforms.
Architect and design the enterprise data platform to ensure seamless integration and interoperability with existing systems.
Guide and mentor a team of data developers, ensuring technical excellence and efficient implementation of the selected platform.
Participate in the configuration and setup of the chosen cloud environment.

AWS Python SQL ETL GCP Git MySQL Oracle Salesforce Snowflake Azure Data engineering Data modeling

Posted about 23 hours ago

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🔥 Senior Platform Engineer (f/m/d)

Posted 1 day ago

📍 Austria, UK, Poland, Bulgaria

🧭 Full-Time

🏢 Company: Adverity👥 251-500💰 $120,000,000 Series D over 3 years agoBig Data SaaS Data Integration Analytics Marketing

3-5 years of relevant professional working experience.
A solid understanding of cloud hosting environments like AWS, GCP, and Azure.
Strong Linux operating system affinity.
Experience building, adjusting, and applying Terraform configurations.
Familiarity with Kubernetes, Docker, GitOps (ArgoCD), and artifactories (JFrog or Nexus).
Hands-on experience with CI/CD pipelines using GitHub Actions or Jenkins.
Knowledge of database systems, especially PostgreSQL.
Ability to take full ownership of your domain.
Experience translating technical concepts to non-technical stakeholders.
Strong problem-solving, collaboration, and communication skills.

Collaborate in cross-functional teams dedicated to critical components of the Adverity platform.
Take ownership of internal development and delivery infrastructure.
Access, manage, and maintain production and development environments.
Design, provision, monitor, and optimize a scalable cloud architecture.
Maintain an automated foundation of platform services.
Ensure platform security by implementing and adhering to best practices.
Act as an ambassador for the technical services owned by the team.
Identify and implement opportunities for technical improvement.
Analyse complex systems to identify bottlenecks and optimize performance.
Engage with engineers and leadership to share knowledge and contribute to technical strategies.

AWS Docker PostgreSQL GCP Kubernetes Azure CI/CD Linux Terraform

Posted 1 day ago

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🔥 DevOps Engineer

Posted 1 day ago

📍 Slovakia, Ukraine, Middle East

🔍 EdTech, Fintech, eCommerce, Pharma

Minimum 4 years in DevOps, SRE, or similar roles with a focus on cloud environments.
Hands-on experience with AWS, Azure, and GCP, including Kubernetes and AI/ML services.
Proficiency in scripting languages like Python, Bash, or Shell, and tools like Jenkins.
In-depth knowledge of Docker and Kubernetes for orchestration.
Practical experience with Terraform, Ansible, and CloudFormation.
Strong networking knowledge, including DNS and load balancing.
Experience with observability solutions like Grafana or Datadog.
Track record in implementing security measures for cloud and CI/CD.

Build, deploy, and manage cloud-based infrastructure on platforms like AWS, Azure, and GCP for large-scale AI applications.
Develop and optimize CI/CD pipelines for automated software delivery.
Utilize IaC tools like Terraform and Ansible for consistent infrastructure deployments.
Implement Docker and Kubernetes environments for efficient resource utilization.
Setup monitoring and observability solutions to maintain system performance.
Enforce security and compliance best practices across infrastructure and processes.
Collaborate with AI, data science, and development teams for project alignment.
Research and adopt new DevOps tools and methodologies.

AWS Docker Python Bash GCP Kubernetes Azure Grafana Prometheus CI/CD Terraform Networking Ansible

Posted 1 day ago

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