Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Job description
Location: Pune, India
NVIDIA is advancing AI and accelerated computing to tackle complex challenges across industries. Our Infrastructure organization creates the platforms that empower NVIDIA’s engineering teams worldwide. We are searching for an experienced, passionate full-stack engineer to develop, build, and manage highly scalable distributed services. These services run on thousands of servers and handle millions of automated jobs daily, directly boosting the efficiency of thousands of NVIDIA software engineers.
## What you’ll be doing:
Develop, create, and manage scalable, highly available cloud services that schedule and run jobs across thousands of systems.
Develop services, APIs, and automation tools for engineering workflows.
Lead the process to develop reviews and promote incremental, low-risk rollouts of major infrastructure features.
Build and improve CI/CD pipelines for builds, testing, and deployment.
Deploy and handle containerized services on Docker and Kubernetes, and automate routine operational tasks.
Improve monitoring, logging, dashboards, and alerting to detect service health issues early, cut alert noise, and speed up troubleshooting.
Detect and fix issues by examining logs and metrics to improve system reliability.
Mentor junior engineers and collaborate with teams across time zones.
## What we need to see:
BS/MS in Computer Science, Engineering, or equivalent experience, with 5+ years building large-scale backend or distributed systems.
Strong Java expertise, including concurrency, performance tuning, and debugging.
Proven experience crafting and operating large-scale full-stack applications in production.
Solid grounding in data structures, algorithms, distributed system development, and testing practices.
Hands-on experience with relational databases (e.g., MySQL) and at least one NoSQL store (e.g., Elasticsearch, MongoDB, Cassandra).
Experience working with Docker and Kubernetes, as well as infrastructure automation tools like Ansible or Chef.
Experience with one or more monitoring and observability tools (e.g., Prometheus, Grafana, Kibana, Splunk), with a focus on actionable alerts.
Strong communication skills and the ability to collaborate across teams and time zones.
## Ways to stand out from the crowd:
Experience managing major infrastructure features from development through phased production deployment.
Ability to break complex problems into simple parts and reuse existing solutions.
SRE approach: examining logs and metrics to investigate failures, set SLOs, and boost reliability.
Experience building systems that perform reliably with limited operational intervention.
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.
Learn more about [NVIDIA](https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.nvidia.com%2Fobject%2Fabout-nvidia.html%23sthash.qlXKW56Q.dpuf&data=05%7C01%7Chozkan%40nvidia.com%7Cf442a08620ed4ab9afb108db18e6d308%7C43083d15727340c1b7db39efd9ccc17a%7C0%7C0%7C638131151878484303%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=DjpWGYWzl3J2uwSP6woYwjdRi52yvWRVeAijKer9u%2Fk%3D&reserved=0).
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?