Looking for Service Reliability engineer who will be able to start immediately setting up monitoring, connect with the right people and automating client’s deployment pipelines.

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Responsibilities:

• Design, build, and maintain highly available and scalable services or applications, focusing on observability.
• Develop and implement monitoring, tracing, and logging solutions to provide deep insights into service behavior and performance.
• Collaborate with cross-functional teams to define key performance indicators (KPIs) and service level objectives (SLOs) for the services.
• Establish and maintain service dashboards and visualizations to provide real-time visibility into service health and performance.
• Develop and maintain alerting systems to proactively detect and respond to service anomalies or degradation.
• Analyze and troubleshoot complex issues related to service performance, reliability, and availability.
• Conduct post-incident analysis using observability tools and implement improvements to prevent similar incidents in the future.
• Drive continuous improvement of the observability platform, including evaluating and adopting new tools and technologies.
• Participate in capacity planning exercises and provide recommendations to ensure optimal service performance.
• Collaborate with development teams to design and implement monitoring, tracing, and logging instrumentation within the services.

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Strong experience in software development or system administration, with a focus on observability.
• Proficiency in programming and scripting languages such as Python, Java, Ruby, or Bash.
• Solid understanding of distributed systems, microservices architectures, and observability principles.
• Experience with observability tools such as Prometheus, Grafana, Jaeger, Elasticsearch, or Splunk.
• Familiarity with distributed tracing and logging frameworks, such as OpenTelemetry or Fluentd.
• Knowledge of cloud technologies (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
• Understanding of infrastructure-as-code tools such as Terraform or Ansible.
• Strong problem-solving and troubleshooting skills, with the ability to analyze complex system behavior using observability data.
• Excellent communication and collaboration skills to work effectively with various teams.

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