SRE New Relic

SRE New Relic

Total Experience: 10+ years preferred

Experience: 5+ years relevant experience

Locations: Bangalore / Hyderabad / Chennai / Chandigarh / Pune / Pan India

Work Mode: Hybrid

Key Responsibilities

• Architect observability strategies across multi-cloud and hybrid environments for full-stack visibility of applications, infrastructure, and services.
• Design and enforce observability standards and instrumentation guidelines for microservices, APIs, front-end applications, SaaS applications, COTS applications, and legacy systems.
• Administer and manage observability platforms including New Relic, Dynatrace, Grafana, Prometheus, Splunk, Datadog, and BigPanda.
• Collect, correlate, and analyze metrics, logs, traces, and events.
• Automate monitoring workflows using Terraform, Ansible, and CloudFormation.
• Integrate observability into CI/CD and DevOps workflows.
• Establish and manage SLAs, SLOs, telemetry standards, and data contracts aligned with business and system outcomes.
• Troubleshoot incidents using distributed tracing, AIOps, and performance monitoring.
• Drive OpenTelemetry adoption and vendor-neutral observability implementations.
• Implement AI and Agentic AI capabilities for intelligent alerting, predictive analytics, automated insights, and RCA.
• Design and implement GenAI solutions to improve developer experience, operational efficiency, and business automation.
• Integrate AI/ML capabilities with platforms such as Dynatrace, Grafana, ServiceNow, Splunk, and Datadog.
• Evaluate AI platforms including OpenAI, Azure OpenAI, AWS Bedrock, and Hugging Face.
• Drive observability governance, maturity models, compliance, and consistency across enterprise environments.

Mandatory Skills

• New Relic Mandatory
• 10+ years of overall IT experience preferred.
• 5+ years of experience in Observability / Monitoring / SRE.
• 2+ years of experience in AI/ML or AIOps.
• Strong hands-on experience with one or more of:
• New Relic
• Dynatrace / Dynatrace Grail
• Grafana
• Prometheus
• OpenTelemetry
• Splunk
• BigPanda
• Datadog
• Strong understanding of metrics, logs, traces, AIOps, distributed tracing, and cloud-native architectures.
• Experience with AWS / Azure / GCP / Kubernetes / EKS.
• Strong scripting and automation experience with Python and Bash.
• Hands-on experience with Terraform and Ansible.
• Experience integrating observability with DevOps and CI/CD pipelines.
• Experience with OpenAI, Azure OpenAI, or AWS Bedrock.
• Knowledge of prompt engineering and model fine-tuning.
• Experience with AI/Agentic AI, anomaly detection, predictive analytics, intelligent alerting, and automated RCA.
• Strong Python and API integration skills.
• Understanding of MLOps principles and cloud-based AI services.
• Excellent communication and stakeholder management skills.

Good to Have

• New Relic / Datadog / Kubernetes / AWS / Azure / GCP / SRE certifications.
• Agile experience including Scrum and Kanban.
• Knowledge of security, regulatory compliance, RBAC, IAM, and policies.
• Understanding of Responsible AI (RAI) practices.
• Experience building custom ML-based operational pipelines.
• Ability to troubleshoot complex production issues and optimize observability workflows.

Contact

Navitha HR,

040-67284906 ,

navitha.m@tekskills.in .