Senior Site Reliability Engineer, Data Science Platform

Key Skills

Aartificial intelligence, Apache Kafka, Data Analytics, Data science techniques, Effective communication skills, Infrastructure as code, Machine learning techniques, Python Programming, Site Reliability Engineering (SRE), SLA, SPARK Programming

Job Description

We are now looking for a Sr. Site Reliability Engineer (SRE), Data Science Platform. At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. We are looking for an excellent Sr. Site Reliability Engineer with extensive data infrastructure experience for our data science platform supporting NVIDIA's cloud platform services. Our data science platform serves as the basis for advanced real time data analytics, streaming, data lake and sophisticated ML/AI training with offline/online inferencing for NVIDIA's cloud services.

Site Reliability Engineering is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. SRE at NVIDIA ensures reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. SRE is also a mindset and a set of engineering approaches to running better production systems and optimizations. The person in this position will be responsible for Service Response and Workflows and will drive tools/service development to maintain and improve service SLOs.

What you’ll be doing:

• Working on building tools to improve the SRE Observability.

• Rapidly debug and triage incidents and user-reported issues.

• Make valuable contribution to the overall health, performance, and reliability of Nvidia's Cloud Data Science platform and Infrastructure Services.

• Taking ownership of automating, scripting, and tooling of new/existing scripts to help the team achieve 100% automation of daily tasks.

• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.

• Clear SRE Observability understanding and experience in building new tools and automation using Python/GO.

• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.

• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.

• Practice balanced incident response and blameless postmortems.

• Be part of an on call rotation to support production systems.

What we need to see:

• MS or BS in Computer Science/Engineering or a related field or equivalent experience.

• 5+ years Site reliability engineering experience working on large scale distributed micro services in a production environment with a real passion for automation and tooling.

• SRE approach and who can understand Error budgeting, SLO’s, SLA’s.

• Clear understanding on Incident management, change management and problem management process. Ability to detect all service-impacting issues, accurate triage, partner communication, impact containment, service restoration, and post-incident follow-up.

• Proven strengths in problem-solving and root causing issues, while continuously seeking ways to drive optimization, efficiency and the bottom line.

• Strong experience on streaming data infra services involving web services, Kafka, Spark etc.

• Expert knowledge with building and operating large scale observability platforms for monitoring and logging (ELK, Prometheus etc)

• Excellent interpersonal skills including the ability to identify and communicate data driven insights

Ways to stand out from the crowd:

• Experience with operating large scale distributed systems with strong SLAs.

• Excellent scripting: Python, GO.

• Strong experience on operating data platforms.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.