Senior Devops Engineer

CareerFit.ai

3 - 8 years

9 - 13 Lacs

Mumbai

Posted:6 hours ago| Platform:

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Skills Required

Computer science Automation GCP Machine learning Infrastructure Transition Reliability engineering Open source Troubleshooting Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Senior Devops EngineerSenior DevOps EngineerCompany: Skima Innovations Pvt Ltd (Product Based company)Work Days: Mon- Fri (5 Days a week)We are seeking a highly skilled and experienced Senior DevOps Engineer who is passionateabout automation, infrastructure as code, and is eager to transition into the exciting field ofMLOps
In this role, you will leverage your deep Kubernetes expertise and experience withopen-source platforms to build and maintain the infrastructure necessary to support ourgrowing Machine Learning initiatives
You will work closely with our ML and developmentteams to ensure the smooth and efficient deployment and operation of ML models andpipelines
Responsibilities:Design, build, and manage robust and scalable infrastructure on Kubernetes to supportML workloads
Architect and implement open-source platforms like Elasticsearch, Kafka, and Grafana
Collaborate closely with Machine Learning engineers to understand their infrastructureneeds and provide solutions
Work with the development team to streamline deployment processes and ensureseamless integration of ML models into applications
Implement and maintain CI/CD pipelines for both application and ML components
Automate infrastructure provisioning and configuration using tools like Terraform orAnsible
Monitor system performance and reliability, proactively identifying and resolvingpotential issues
Implement robust monitoring and logging solutions
Contribute to the development of best practices for MLOps within the organization
Troubleshoot and resolve infrastructure-related issues across development, staging,and production environments
Qualifications:Bachelors degree in Computer Science or a related field
Significant experience in a DevOps or Site Reliability Engineering(SRE) role
Strong expertise in Kubernetes, including deployment, scaling, andmanagement of containerized applications
Proven experience in setting up and managing open-source platforms like Elasticsearch,Kafka, and Grafana
Solid understanding of infrastructure as code principles and experience with tools likeTerraform or Ansible
Experience with CI/CD tools (eg, Jenkins, GitLab CI/CD, CircleCI)
Strong scripting skills (eg, Python, Bash)
Excellent troubleshooting and problem-solving abilities
Strong communication and collaboration skills, with the ability to work effectively withML and development teams
A strong desire to learn and grow in the field of MLOps
Bonus Points:Experience with cloud platforms (eg, AWS, GCP, Azure)
Familiarity with MLOps tools and concepts (eg, MLflow, Kubeflow)
Experience with data engineering tools
Qualifications:Bachelors degree in Computer Science or a related field
Significant experience in a DevOps or Site Reliability Engineering(SRE) role
strong expertise in Kubernetes, including deployment, scaling, andmanagement of containerized applications
Proven experience in setting up and managing open-source platforms like Elasticsearch,Kafka, and Grafana
Solid understanding of infrastructure as code principles and experience with tools likeTerraform or Ansible

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