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Site Reliability Engineer

Site Reliability Engineer

Awign Expertthane, India
1 day ago
Job description

Position : SRE Observability Engineer

Exp : 5+ Years

Location : Hyderabad

Mandatory Skills : Observability, Grafana and Writing queries using Prometheus and Loki.

Job Description :

We are seeking a highly experienced and driven Senior Observability Engineer to lead the design, development, and maintenance of observability solutions across our infrastructure, applications, and services. As a Senior Observability Engineer, you will be at the forefront of implementing cutting-edge monitoring, logging, and tracing solutions that ensure the reliability, performance, and availability of our complex, distributed systems. You will be collaborating with cross-functional teams, including Development, Infrastructure Engineers, DevOps, and SREs, to optimize system observability, and improve our incident response capabilities.

Key Responsibilities :

  • Lead the Design & Implementation of observability solutions, including monitoring, logging, and tracing for both cloud and on-premises environments.
  • Drive the Development and maintenance of advanced monitoring tools such as Prometheus, Grafana, Datadog, New Relic, and AppDynamics.
  • Implement Distributed Tracing frameworks like OpenTelemetry, Jaeger, or Zipkin, and enhance application performance diagnostics and troubleshooting.
  • Optimize Log Management and analysis strategies using tools like Elasticsearch, Splunk, Loki, and Fluentd, ensuring efficient log processing and insights.
  • Develop Advanced Alerting and anomaly detection strategies to proactively identify system issues, minimizing downtime and improving Mean Time to Recovery (MTTR).
  • Collaborate with Development & SRE Teams to enhance observability in CI / CD pipelines, microservices architectures, and across various platform environments.
  • Automate Observability Tasks by leveraging scripting languages such as Python, Bash, or Golang to increase efficiency and scale observability operations.
  • Ensure Scalability & Efficiency of monitoring solutions to manage large-scale distributed systems and handle evolving business requirements.
  • Lead Incident Response by providing actionable insights through observability data for effective troubleshooting and root cause analysis.
  • Stay Abreast of Industry Trends in observability, Site Reliability Engineering (SRE), and monitoring practices, continuously improving processes.

Required Qualifications :

  • 5+ years of hands-on experience in observability, SRE, DevOps, or a related field, with a proven track record of successfully managing complex, large-scale distributed systems.
  • Expert-level proficiency in observability tools such as Prometheus, Grafana, Datadog, New Relic, AppDynamics, with the ability to lead the design and implementation of these solutions at scale.
  • Advanced experience with log management platforms like Elasticsearch, Splunk, Loki, and Fluentd, and the ability to optimize log aggregation and analysis for better performance insights.
  • Deep expertise in distributed tracing tools such as OpenTelemetry, Jaeger, or Zipkin, with a focus on performance optimization and root cause analysis .
  • Extensive experience with cloud environments (preferably Azure, AWS, GCP) and Kubernetes for deploying and managing observability solutions across modern, cloud-native infrastructures.
  • Advanced proficiency in scripting languages such as Python, Bash, or Golang, and strong experience with Infrastructure as Code (IaC) tools like Terraform and Ansible.
  • Strong understanding of system architecture, performance tuning, and troubleshooting complex production environments, with an emphasis on scalability and high availability.
  • Proven experience in leading and mentoring teams, providing technical direction, and driving the adoption of best practices for observability and monitoring.
  • Exceptional problem-solving skills, with a focus on providing actionable insights and data-driven decision-making.
  • Ability to lead high-impact projects, effectively communicate with stakeholders, and influence cross-functional teams.
  • Strong communication and collaboration skills; demonstrated ability to work closely with engineering teams, leadership, and external partners to meet observability and system reliability goals.
  • Preferred Qualifications :

  • Experience with AI-driven observability tools and anomaly detection techniques.
  • Familiarity with microservices, serverless architectures, and event-driven systems.
  • Proven track record of handling on-call rotations and incident management workflows in high-availability environments.
  • Relevant certifications in observability tools, cloud platforms, or SRE best practices are a plus.
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