Sr. Engineer DevOps

Department Icon IT / Software Development & Related
102+ Applicants
Posted: 1 year ago
0-1 years
Pune, Maharashtra
Work from Office

Posted: 1 year ago
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Applicants: 102+
Job Description
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Job Description

Role Description
  • Design, implement, and manage CI/CD pipelines for data engineering, machine learning workflows and microservices-based applications.
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools, e.g., Terraform, CloudFormation.
  • Manage and optimize cloud infrastructure on platforms such as AWS, Azure, with a focus on scalability, reliability, and security.
  • Implement and maintain monitoring, logging, and alerting systems to ensure the health and performance of data and AI pipelines.
  • Collaborate with data engineers and AI scientists to productionize machine learning models and data processing pipelines.
  • Optimize data lakes for performance and cost-efficiency.
  • Implement and enforce DevOps best practices, including version control, code reviews, and automated testing.
  • Troubleshoot and resolve complex infrastructure and application issues in a fast-paced environment.
  • Evaluate and implement new tools and technologies to improve the efficiency and reliability of our data and AI infrastructure.
  • Ensure compliance with security and data governance policies.
  • Knowledge of cloud resource management and administration with focus on Identity and Access Management (IAM).
Skill Requirements
Primary Skills (Must have skills):
  • Experience in a DevOps / SRE role, with a focus on data engineering and/or AI/ML environments
  • Strong experience with cloud platforms (AWS, Azure) and their data & AI services
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
  • Experience with containerization and orchestration technologies like Docker, Kubernetes
  • Exposure to CI/CD principles and tools, e.g., Jenkins, GitLab CI/CD, GitHub Actions
  • Experience with monitoring and logging tools, e.g., Prometheus, Grafana, ELK stack
  • Strong scripting skills in languages such as Python or Bash
  • Excellent problem-solving skills and strong verbal / written communication skills

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  • Passion for automation and continuous improvement
Secondary Skills: (Good to Have)
  • Experience with data processing technologies like Spark, Kafka
  • Familiarity with AI frameworks like TensorFlow, PyTorch, MLflow
  • Certifications in Kubernetes technology, e.g., CKA, CKS, KCNA, KCSA etc.
  • Exposure to Databricks platform is a huge plus
  • Experience with healthcare domain
Qualifications And Education Requirements
  • Bachelors / Masters degree in Computer Science, Computer Engineering, or a similar field

Skills

PythonDevopsKubernetesTestingVersion ControlCloud

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Important dates & deadlines?

Application Deadline

17 Jun 25, 04:46 PM IST

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