SRE Technical Lead

Responsibilities:

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 (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