Sr. DevOps Engineer
Bengaluru, Karnataka, India
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 4000000 - Rs 6000000 (ie INR 40-60 LPA
Min Experience: 7 years
Location: Bangalore
JobType: full-time
We are seeking a Senior DevOps Engineer to join our team and play a key role in building and deploying cutting-edge generative AI technologies. This role is essential in ensuring scalability, reliability, and security as we develop and optimize AI-driven applications. You will work at the intersection of AI, cloud infrastructure, and automation, streamlining workflows for high performance and seamless delivery.
Requirements
Key Responsibilities
- Design, build, and manage scalable, resilient cloud infrastructure to support AI-powered applications.
- Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies.
- Develop and maintain CI/CD pipelines to ensure smooth and efficient software delivery across multiple environments.
- Optimize and monitor AI model deployment pipelines, ensuring low latency, high availability, and performance efficiency.
- Implement and maintain security best practices, ensuring compliance across cloud and on-prem environments.
- Collaborate with AI/ML engineers, software developers, and product teams to streamline workflows and enhance system efficiency.
- Manage and optimize containerized applications using Docker, Kubernetes, and Helm.
- Troubleshoot and resolve infrastructure issues, improving observability with monitoring/logging tools like Prometheus, Grafana, or ELK Stack.
What We’re Looking For
- 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
- Expertise in cloud platforms like AWS, GCP, or Azure, with hands-on experience in cloud architecture and automation.
- Strong proficiency in Kubernetes, Docker, and Helm for container orchestration and management.
- Experience working with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD.
- Proficiency in Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi.
- Strong scripting skills in Python, Bash, or Go for automation.
- Familiarity with MLOps practices, ML model deployment, and GPU-based cloud computing is a plus.
- Passion for AI-driven solutions and next-gen cloud architectures.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible Architecture AWS Azure CI/CD CloudFormation DevOps Docker ELK Engineering GCP Generative AI GitHub GPU Grafana Helm Jenkins Kubernetes Machine Learning MLOps Model deployment Pipelines Python Security Terraform
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.