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Datafoundry is an AI first company with solutions to accelerate digital transformation. As part of our initial focus on the Life Sciences industry, we have built AI-automation products in the Safety Vigilance domain. Datafoundry has multiple AI/ML algorithms that can solve digitalization problems across industry sectors such as Health Care, Utilities, Aerospace and Defence, Manufacturing, Banking and Financial sectors.
Qualification:
Master’s or bachelor’s degree in computer science or software engineering or equivalent.
Technical Skills:
Tool chain Management:
• Select, configure, and maintain the tools and technologies used for continuous integration, continuous deployment, version control, monitoring, and automation.
• Hands on experience with BitBucket/ GitHub, Jenkins, Sonar, Trivy
Monitoring Tools:
• Zabbix, Prometheus, Grafana (one or more)
• Develop and maintain CI/CD pipelines for automated build, test, and deployment processes.
• Configure and manage CI/CD tools such as Jenkins
• Implement and optimize pipeline processes to ensure fast and reliable software delivery.
CI/CD Integration & Deployment:
• Integrate various systems and tools used in the development and deployment process.
• Monitor and manage deployment environments, ensuring high availability and performance.
• Implement automated testing frameworks and tools within the CI/CD pipelines to ensure code quality.
• Monitor pipeline performance, troubleshoot issues, and perform root cause analysis for failures.
• Ensure compliance with security standards and best practices.
Infrastructure Management:
• Design, deploy, and manage infrastructure using cloud services and infrastructure as code (IaC) tools CI/CD, IAC, CAC in Azure, AKS/Terraform/ Ansible.
Release Management:
• Coordinate the release process, ensuring smooth and reliable delivery of software updates.
• Thorough understanding of infra/ network provisioning in Azure Cloud. Hands on working with AKS configurations and trouble shooting.
Monitoring and Performance:
• Monitoring /Trouble shooting skills to detect and address issues proactively, and optimize system performance using Zabbix, Prometheus, Grafana and other related tools.
Additional Skills:
• APIs /API Managers: Azure APIM and KONG API Manager. API testing and trouble shooting.
• Databases: Managing and Troubleshooting Databases such as Postgres, MS SQL, Elastic Search, Redis
• Linux: Navigating the Filesystem, Shell Scripting, Package Management, Disk Usage, System, Log Files
• Network Configuration: Basic setup and troubleshooting of network interfaces and connectivity issues
• Remote Access: Using SSH for remote access and configuration.
• Debugging: Skills in troubleshooting issues using system logs, debugging tools, and analysing system behaviour.
• Error Analysis: Identifying and resolving errors related to system performance, application crashes, and deployment failures.
Other Skills:
• Ownership: Owning a task or issue and work till proper completion.
• Flexibility: As DevOps Engineer, candidate should be flexible and available for any critical task during and beyond working hours.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills with various teams, stake holders
• Ability to work independently and as part of a team
• Strong organizational and time management skills
• Risk Management: Identify potential risks and vulnerabilities in the development and deployment pipeline and implement measures to mitigate them.
• Documentation and Reporting: Document configurations, processes, and best practices, and generate reports on key performance metrics and progress towards DevOps goals.
Join our team at Datafoundry to be part of an exciting journey as we revolutionize the way organizations leverage data to gain a competitive advantage. We offer an attractive compensation and bonus package, a flexible remote work environment, and ample opportunities for professional growth.
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