Observability Software Engineer - Prometheus | Grafana | Splunk | Datadog | Kubernetes | EKS

Flexsin•Noida, India•On-site
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About the Role

Location: Noida | Experience: 4-6 Yrs Job Description: We are seeking an experienced Observability Software Engineer to design, implement, and optimize scalable monitoring and observability solutions for cloud-native environments. The ideal candidate will have expertise in cloud platforms, Kubernetes, distributed systems, DevOps automation, and modern observability tools. Responsibilities: - Design and maintain observability solutions across AWS, Azure, and GCP. - Support Kubernetes/EKS infrastructure and containerized workloads. - Implement monitoring, logging, and tracing platforms using Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, Dynatrace, ELK, CloudWatch, and New Relic. - Develop dashboards, alerts, and operational reporting. - Build automation tools and scripts using Golang, Python, Bash, or Ruby. - Support CI/CD and Infrastructure as Code using Jenkins, Terraform, ArgoCD, CloudFormation, Ansible, and Puppet. - Troubleshoot distributed systems and improve system reliability and performance. - Leverage AI-driven operational workflows and observability automation. - Collaborate with engineering and operations teams in Agile environments. Technologies Cloud: AWS, Azure, GCP Monitoring: Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, Dynatrace, ELK, CloudWatch, New Relic DevOps: Jenkins, Terraform, ArgoCD, Ansible, Puppet, CloudFormation Languages: Golang, Python, Ruby, PHP (Optional) Platforms: Kubernetes, Linux, Distributed Systems REQUIRED SKILLS & QUALIFICATIONS: - 5+ years of software engineering or DevOps experience. - Strong experience with AWS, Kubernetes, and cloud-native technologies. - Hands-on experience with observability and monitoring platforms. - Experience with Linux/Unix administration and scripting. - Knowledge of distributed systems, SRE practices, and CI/CD pipelines. - AWS and Amazon EKS expertise. - Experience with OpenTelemetry and AI-assisted operational tooling. - Familiarity with GitOps workflows and large-scale production environments. - Strong problem-solving and communication skills.