Data Scientist
India, Maharashtra, Pune
1 week ago
Applicants: 0
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2 weeks left to apply
Job Description
Company Description Neutrino Tech Systems, founded in 2018 and headquartered in Texas, USA, is a nimble, AI-first organization passionately focused on customer success. With 350+ associates across the USA, India, and Costa Rica, the company provides data-driven and AI-first innovation to transform businesses into Intelligent Enterprises. Neutrino offers a unique blend of startup agility and enterprise reliability, with over 200+ successful projects delivered, 50+ AI and Innovation experts and boasts certifications like ISO 27001:2022, HIPAA, and SOC 2 Type II. Recognized by Great Place to Work and known for its expertise in the healthcare sector, Neutrino is dedicated to creating scalable, context-aware solutions for its clients. Role Description This is a full-time, on-site role located in Pune for a Senior DevOps Engineer. The Senior DevOps Engineer will be responsible for developing and maintaining CI/CD pipelines, managing cloud infrastructure, automating deployment processes, and enhancing system reliability. Additional duties include monitoring system performance, troubleshooting issues, and collaborating with development teams to ensure seamless integration and delivery of applications. Qualifications Experience in developing and maintaining CI/CD pipelines and managing cloud infrastructure Proficiency in automation tools and scripting (e.g., Jenkins, Ansible, Terraform, Bash, Python) Strong understanding of containerization and orchestration (e.g., Docker, Kubernetes) Knowledge in system monitoring, logging, and troubleshooting (e.g., Prometheus, Grafana, ELK stack) Excellent problem-solving and analytical skills Ability to work collaboratively with cross-functional teams Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert) are a plus Bachelor?s degree in Computer Science, Engineering, or related field
Additional Information
- Company Name
- Neutrino Tech Systems
- Industry
- N/A
- Department
- N/A
- Role Category
- Machine Learning Engineer
- Job Role
- Mid-Senior level
- Education
- No Restriction
- Job Types
- On-site
- Gender
- No Restriction
- Notice Period
- Immediate Joiner
- Year of Experience
- 1 - Any Yrs
- Job Posted On
- 1 week ago
- Application Ends
- 2 weeks left to apply
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