Site Reliability Engineer

4 weeks ago


Delhi, Delhi, India Boost-IT Full time
About the Role

We are seeking an experienced Site Reliability Engineer to join our team at Boost-IT. As a key member of our technical leadership team, you will be responsible for ensuring the reliability and scalability of our cloud infrastructure on GCP and Azure.

You will lead and guide our team technically, providing technical guidance and mentorship while working closely with the team to drive solutions from conception to implementation.

Key Responsibilities
  • Technical Leadership: Provide technical guidance and mentorship to the team, leading by example with hands-on contributions.
  • Complex Problem Solving: Take ownership of complex tasks and workstreams, driving solutions from conception to implementation.
  • Team Coordination: Regularly follow up with team members to ensure tasks are on track, resolve blockers, and facilitate smooth workflow.
  • Infrastructure Management: Design, deploy, and maintain highly reliable and scalable cloud environments on GCP and Azure.
  • Strategy Development: Proactively identify potential challenges and devise strategies to solve them, focusing on optimizing performance, reliability, and cost efficiency.
  • Monitoring and Incident Resolution: Implement robust monitoring and alerting systems, lead incident response efforts, and perform root cause analysis for production issues.
  • Data Pipeline Management: Collaborate with data teams to optimize and manage large-scale data pipelines, ensuring reliability and efficiency.
  • Automation and CI/CD: Develop automation scripts and implement CI/CD pipelines to improve deployment efficiency and reduce manual effort.
  • Security and Compliance: Ensure infrastructure follows security best practices and adheres to compliance requirements.
Requirements
  • 6 years of experience as a Site Reliability Engineer, DevOps Engineer, or in a related technical role.
  • Expertise in GCP and Azure with in-depth knowledge of cloud architectures, services, and best practices. Strong data engineering background with hands-on experience with data pipelines, databases, and big data technologies.
  • Proven experience in leading technical teams with the ability to mentor and motivate.
  • Strong problem-solving mindset with a proven ability to create strategies for complex technical challenges.
  • Proficiency in automation (Terraform, Ansible) and scripting (Python, Bash).
  • Experience with monitoring tools like Prometheus, Grafana, or ELK stack.
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • CI/CD expertise including the design and implementation of automated pipelines.
  • Excellent communication and leadership skills with the ability to drive cross-team collaboration.


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