We are looking for an Observability Tech Lead to design and develop observability platform at Nvidia. The platform is used by internal teams to monitor, diagnose, and optimize the products, millions of assets and services in cloud, on-prem, data centers, supply chain, and edge. You will work with a team of engineers, product managers, and partners to define the observability strategy, roadmap, and standard methodologies for Nvidia. You will also mentor and coach other engineers on observability, machine learning, tools and techniques.

What you will be doing:

• Lead the design, development, and deployment of the observability platform, including metrics, logs, traces, events, alerts, dashboards, and visualizations.

• Collaborate with other teams and customers to understand their observability needs and provide solutions that meet their requirements and expectations.

• Establish and implement observability standards, guidelines, and processes across Nvidia.

• Research, evaluate, and adopt new observability technologies and frameworks that can enhance user experience.

• Provide peer reviews to other engineers including feedback on performance, scalability, security and correctness.

• Work with Data scientists to implement machine learning models for anomaly detection, forecasting, and root cause analysis on logs, metrics, and events.

• Handle large volumes of data and ensure data quality, security, and compliance.

• Develop and operate scalable, reliable, and distributed systems that can handle high traffic and complex workloads.

• Find opportunities to automate remediation of commonly occurring issues to operate systems reliably and efficiently.

What we need to see:

• Bachelor’s degree in computer science and Engineering, or related field, or equivalent experience.

• 15+ years of experience in product development and full stack engineering, with 5+ years of experience in developing and operating observability platforms and solutions, preferably in a cloud-native environment.

• Strong knowledge and experience with observability tools, such as Prometheus, Victoria Metrics, Thanos, Cortex, Loki, Grafana, Alert Manager, ELK/Elastic Stack, Datadog, OpenTelemetry, etc.

• Hands-on knowledge in AIOps tools such as BigPanda, PagerDuty, Elastic Stack, etc.

• Experience with Kubernetes, Nomad, Docker, and microservices architectures as well as experience with streaming services to ingest billions of events using NATS, Kafka, etc

• Proficient in one or more programming languages, such as Go, Python, Java, C#, etc.

• Passionate about observability and delivering high-quality internal platforms.

• Demonstrated experience and expertise in using machine learning and Generative AI to develop solutions such as predictive monitoring, incident diagnosis, summarization and chatbots.

• Experience with developing Observability solutions to monitor On-prem and Public Cloud environments.

• Developed unified cloud observability platform to monitor Network, Compute, Storage, Operating Systems, Security, Applications, SaaS Platforms.

• Understanding of implementing Observability solutions to large scale on-prem Infrastructure and Networking.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, self-motivated and enjoy having fun, then what are you waiting for apply today!

The base salary range is 192,000 USD - 368,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.