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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 18th Dec 2023

Observability and Monitoring:
Develop and implement robust observability strategies, including logging, metrics, and tracing, to gain deep insights into the performance and health of our systems.
Collaborate with cross-functional teams to establish and enforce best practices for instrumentation, logging, and monitoring throughout the software development lifecycle.

Site Reliability Engineering:
Lead initiatives to improve the reliability, availability, and scalability of our applications and infrastructure.
Collaborate with development teams to design and implement systems that are resilient to failures and capable of quick recovery.
Drive the adoption of SRE principles and practices across the organization.
Incident Management:
Develop and refine incident response processes, ensuring timely detection, analysis, and resolution of incidents.
Collaborate with teams to conduct post-incident reviews, identify root causes, and implement preventive measures.
Automation and Tooling:
Build and maintain automation tools for deployment, monitoring, and incident response to streamline operational processes.
Evaluate and integrate third-party tools to enhance observability and SRE capabilities.
Collaboration and Leadership:
Provide technical leadership and mentorship to the engineering team.
Collaborate with product managers, architects, and other stakeholders to align observability and SRE initiatives with business goals.

Qualifications:
Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.
Extensive experience in software engineering with a focus on observability, monitoring, and SRE.
Strong expertise in designing and implementing distributed systems for high availability and reliability.
Proficiency in APM (Application performance monitoring), RUM (Real user monitoring), Synthetics, correlation, alert & incident management will be required. (e.g., OTEL, Jaeger, Kloudfuse, service-now)
Proficiency in one or more programming languages (e.g., Java, Python, Go).
Experience with cloud platforms (e.g., AWS, Azure, GCP) and container orchestration (e.g., Kubernetes).
In-depth knowledge of observability tools and frameworks (e.g., Prometheus, Grafana, ELK stack, Datadog, Aternity) and incident management processes.
In-depth knowledge of ML & AI frameworks (e.g., Anomaly, Outlier, AIOps, LLM )
Excellent communication and collaboration skills.
Demonstrated ability to lead technical initiatives and mentor team members.
Preferred Qualifications:
Certifications in relevant areas such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or equivalent.
Previous experience in a leadership or management role.
Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Packer & C Crossplane