Internship: Node.js Eligibility: B.Tech/M.Tech/CSE/ECE/BE- IT/M.Sc-IT/MCA Duration: 3 months Possible conversion to paid intern/ full-time based on performance after 3 months. At DataFoundry AI, we are thrilled to offer a one-of-a-kind internship program for individuals looking to immerse themselves in the realm of AI-enabled products in life sciences. Our program provides a chance for aspiring talents to acquire invaluable insights and practical skills in product development while working alongside a team of seasoned professionals. We believe in nurturing talent and providing a platform for growth. As an intern, you will have the opportunity to contribute to our AI-enabled life sciences products and make a meaningful impact through your work. If you are a recent graduate ready to kick-start your career, our internship program is designed to help you thrive and succeed.
Job Title: Senior DevOps Engineer Location: Bangalore, Karnataka, India Experience: 3-5 years Qualification: Masters or bachelors 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) CI/CD Pipeline Design & Implementation: 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. Automate deployments to various environments (e.g., development, QA, Staging, production). 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. Azure: 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: AWS Route53, Ingress, Load BalancersGit, Networking, Linux, Azure Cloud, Micro Services -Containerization (Docker), Orchestration (Kubernetes) Scripting: Shell, Groovy, YAML, Python 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.