Principal System Reliability Engineer

2 weeks ago


Ghaziabad, Uttar Pradesh, India beBeeSystemReliabilityEngineer Full time ₹ 80,00,000 - ₹ 1,50,00,000

Job Summary:

A system reliability engineer is a key player in ensuring the overall performance and stability of large-scale distributed systems. We are seeking a highly skilled professional to manage our infrastructure and collaborate with developers to establish quality and performance benchmarks.

Responsibilities:
  • Oversee and maintain the infrastructure that supports ad exchange applications, including load balancers, data stores, CI/CD pipelines, and monitoring stacks.
  • Continuously improve infrastructure resilience, scalability, and efficiency to meet demands of massive request volume and stringent latency requirements.
  • Develop policies and procedures that improve platform stability and participate in shared on-call schedule.
Collaboration with Developers:
  • Work closely with developers to establish and uphold quality and performance benchmarks, ensuring applications meet necessary criteria before they are deployed to production.
  • Participate in design reviews and provide feedback on infrastructure-related aspects to improve system performance and reliability.
Building Tools for Infra Management:
  • Develop tools to simplify and enhance infrastructure management, automate processes, and improve operational efficiency.
  • These tools may address areas such as monitoring, alerting, deployment automation, and failure detection and recovery, critical in minimizing latency and maintaining uptime.
Performance Optimization:
  • Focus on reducing latency and maximizing efficiency across all components, from request handling in load balancers to database optimization.
  • Implement best practices and tools for performance monitoring, including real-time analysis and response mechanisms.
Requirements:
  • Bachelor's or master's degree in Computer Science, Information Technology, or related field.
  • 2-4 years of experience managing services in large-scale distributed systems.
  • Strong understanding of networking concepts (e.g., TCP/IP, routing, SDN) and modern software architectures.
  • Proficiency in programming and scripting languages such as Python, Go, or Ruby, with focus on automation.
  • Experience with container orchestration tools like Kubernetes and virtualization platforms (preferably GCP).
  • Ability to independently own problem statements, manage priorities, and drive solutions.
Preferred Skills & Tools Expertise:
  • Infrastructure as Code: Experience with Terraform.
  • Configuration management tools like Nix, Ansible.
  • Monitoring and Logging Tools: Expertise with Prometheus, Grafana, or ELK stack.
  • OLAP databases: Clickhouse and Apache Druid.
  • CI/CD Pipelines: Hands-on experience with Jenkins or ArgoCD.
  • Databases: Proficiency in MySQL (relational) or Redis (NoSQL).
  • Load Balancers Servers: Familiarity with Haproxy or Nginx.
  • Strong knowledge of operating systems and networking fundamentals.
  • Experience with version control systems such as Git.


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