DevOps Engineer

5 days ago

Bengaluru, Karnataka, India Acuity Knowledge Partners Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Desired Skills and experience

5+ years of relevant experience in:

  • Required Skills - DevOps, Azure, Kubernetes, CI/CD, Jenkins, GitHub, Docker, Terraform
  • Good to have: Helm, ArgoCD GitOps
  • Experience in a DevOps role, preferably within the financial services industry.
  • Strong experience with cloud platforms, particularly Azure.
  • Proficiency in scripting and automation using Python, Bash, or PowerShell.
  • Experience with CI/CD tools such as Azure DevOps.
  • Experience with Azure Kubernetes Service, Azure Storage, Azure Redis, and other Azure cloud related technologies.
  • Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
  • Strong understanding of networking, security, and infrastructure management. E.g., Terraform.
  • Implement backup and disaster recovery strategies and participate in annual DR tests and assist with executing the DR test plan. Should have a good understanding of high availability options in Azure.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, both written and oral, with a business and technical aptitude

Additionally, desired skills:

  • Familiarity with Spark technologies (e.g., PySpark).
  • Data Analytical and AI/ML experience or skills.
  • Knowledge of financial securities and asset classes.
  • Strong experience with cloud platforms, particularly Snowflake, or Databricks.

Key Responsibilities

  • Deploying and managing cloud infrastructure to enable and support data storage, processing, and analytics.
  • Developing CI/CD pipelines to build and maintain continuous integration and continuous deployment pipelines to automate software delivery and infrastructure changes.
  • Managing code repositories to ensure proper version control and collaboration using tools such as Git.
  • Set up monitoring tools to track performance and troubleshoot issues, ensuring availability and scalability.
  • Collaboration with data teams by working closely with data scientists and data engineers to automate data pipelines and integrate machine learning models into production environments.
  • Implement security best practices and ensure compliance with industry standards.
  • Create detailed documentation of processes and provide training to internal teams on DevOps practices.
  • Managing client relationships, effectively communicating with stakeholders, and ensuring the delivery of highquality solutions.

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