Senior DevOps Engineer

4 days ago


India Dashhire Full time

**Senior DevOps Engineer - Cloud:**

We are seeking an experienced Senior DevOps Engineer - Cloud to join our team at Dashhire. As a key member of our infrastructure team, you will design, implement, and manage cloud infrastructure (AWS, GCP, Azure) to support large-scale application deployment and monitoring.

Key Responsibilities:

  • Design and implement CI/CD pipelines using Terraform, Jenkins, Docker, and Kubernetes to streamline deployment processes.
  • Oversee the setup and optimization of cloud infrastructure to support large-scale application deployment and monitoring.
  • Collaborate with data scientists and machine learning engineers to implement MLOps practices, facilitating model retraining, scaling, and monitoring in production environments.
  • Set up monitoring solutions for infrastructure and applications, ensuring timely identification and resolution of production issues.
  • Evaluate and ensure all systems adhere to security and compliance standards, particularly around data privacy and cloud security best practices.
  • Work closely with cross-functional teams to ensure smooth integration of applications and machine learning models into production systems.
  • Maintain detailed documentation for all DevOps and MLOPs workflows, configurations, and automation scripts to ensure reproducibility and transparency.

Requirements:

  • Bachelor's degree in computer science, engineering, or a related field.
  • Minimum of 5 years of experience in building and maintaining CI/CD pipelines, container orchestration (Kubernetes, Docker), and automated deployments in cloud environments (AWS, GCP, Azure).
  • Strong understanding of scalable cloud infrastructure for application workloads, including resource management, cost optimization, and high availability.
  • Solid background in networking principles and security practices, with experience implementing best practices and compliance checks in cloud environments.
  • Experience with automating workflows, ensuring ease of use and reproducibility across teams.
  • Understanding of MLOPs principles and experience with deploying and managing machine learning models and large language models (e.g., Llama 2 Mistral) in production, including familiarity with tools and frameworks that support model lifecycle management is a plus.
  • Experience with monitoring tools (e.g., Prometheus, Grafana, ELK stack) and diagnosing infrastructure or application performance issues.
  • Excellent communication skills with the ability to work cross-functionally with various teams.
  • Eagerness to stay updated on DevOps, cloud, and MLOPs advancements to drive innovation.

What We Offer:

Dashhire offers a competitive compensation package, comprehensive benefits, and opportunities for growth and professional development.


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