Distributed Systems Reliability Expert

2 days ago

Bengaluru Bangalore Gurgaon Gurugram, India beBeeReliability Full time ₹ 1,04,000 - ₹ 1,30,878
Senior Reliability Engineer

Key Responsibilities:

  • Develop and implement a comprehensive reliability strategy aligned with the company's goals and objectives. Lead a team of reliability professionals to drive system reliability, performance, and scalability.
  • Establish real-time monitoring practices to ensure insights into system performance and customer experience. Implement metrics and dashboards to proactively identify and address potential issues.
  • Lead all aspects of the end-to-end production support process, including incident management, problem resolution, and service-level agreement (SLA) compliance. Drive continuous improvement initiatives to enhance operational effectiveness and reduce mean time to resolution (MTTR).
  • Collaborate with multi-functional teams to enhance customer journeys through seamless and reliable technology experiences.
  • Promote and implement standard methodologies for reliability engineering, including error budgeting, chaos engineering, and disaster recovery planning. Cultivate a culture of resilience and reliability within technology.
  • Champion automation initiatives to streamline operational workflows, deployment processes, and incident response tasks. Leverage automation tools and orchestration to improve reliability and reduce manual intervention.

Qualifications:

  • 3-8 years of experience in Computer Science, Information Technology, or related field. Advanced certifications in reliability engineering or related are a plus.
  • Deep understanding of observability tools and methodologies, including experience with logging, monitoring, tracing, and performance analysis platforms.
  • Strong leadership and people management skills, with the ability to inspire and empower successful reliability teams.

Required Skills:

  • Hands-on coding and system design of highly available distributed systems.
  • Java/Golang/Javascript, Kubernetes, Docker.
  • Knowledge on modern observability stack – splunk, elastic search, Prometheus, Grafana.
  • Knowledge of cloud-based reliability practices and experience with public cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with containerization technologies (e.g., Kubernetes, Docker) and microservices architecture.
  • Demonstrated expertise in driving culture change, DevOps practices, and continuous improvement in reliability and production support functions.

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