Senior Observability Engineer / Platform Engineer

Accountabilities:

• Design, implement, and maintain enterprise observability platforms covering metrics, logs, traces, and events.
• Build and manage observability solutions using platforms such as Prometheus, Grafana, OpenSearch, Splunk, Elastic, Datadog, Dynatrace, New Relic, or equivalent technologies.
• Develop dashboards, SLOs, SLIs, alerting rules, and service health monitoring frameworks to provide actionable visibility into production environments.
• Integrate monitoring and observability capabilities across Kubernetes, containerized workloads, and public cloud platforms.
• Enable effective incident management, root cause analysis, and production troubleshooting through robust observability practices.
• Automate monitoring configuration, platform onboarding, and operational processes using Infrastructure-as-Code and CI/CD pipelines.
• Partner with engineering, platform, SRE, DevOps, and operations teams to improve system reliability, performance, scalability, and availability.
• Contribute to observability maturity initiatives, including distributed tracing, OpenTelemetry, AIOps, intelligent alerting, and automated remediation.

Requirements:

• 6+ years of experience in Platform Engineering, SRE, DevOps, Cloud Operations, Observability Engineering, or a closely related discipline.
• Strong hands-on expertise with observability technologies such as Prometheus, Grafana, Splunk, OpenSearch, Elastic, or equivalent platforms.
• Experience with distributed tracing solutions such as Jaeger, Tempo, and OpenTelemetry, with a solid understanding of modern observability practices.
• Strong knowledge of Kubernetes, Docker, and containerized workloads, ideally gained through enterprise-scale production environments.
• Practical experience working with AWS, Azure, or GCP cloud environments.
• Demonstrated ability to manage incidents, tune alerts, troubleshoot complex production issues, and improve operational reliability.
• Strong scripting and automation capabilities using Python, Shell, or similar languages.
• Familiarity with CI/CD and Infrastructure-as-Code tools such as Terraform, Jenkins, GitHub Actions, or ArgoCD.
• Understanding of SRE practices, including SLO/SLI frameworks and error budgets, is preferred.
• Exposure to AIOps, intelligent incident response, automated remediation, and OpenTelemetry implementations is an advantage.
• Experience working with enterprise-scale production platforms and an awareness of security, compliance, and governance considerations in cloud-native environments.
• Strong collaboration, communication, analytical, and problem-solving skills, with the ability to work effectively across engineering and operations teams.

Benefits:

• Permanent remote working model, with the role based in India.
• Flexible working arrangements designed to accommodate employee, customer, and business needs.
• Opportunities to work on enterprise-scale cloud, platform engineering, and observability initiatives.
• Exposure to modern technologies and practices across observability, Kubernetes, cloud platforms, SRE, automation, and AIOps.
• An inclusive and diverse working environment that values different perspectives, skills, and experiences.
• Flexibility around working hours and arrangements where business and customer requirements allow.
• Supportive initiatives for professionals returning to work after an extended career break due to health or family circumstances.
• Opportunities for professional development, meaningful ownership, and long-term career growth.
• Salary: Competitive compensation aligned with experience and market standards.
• Healthcare and additional perks: Details to be confirmed during the hiring process.