4 days ago
Pune, IndiaSenior
Responsibilities
- Develop and manage scalable, highly available cloud services that schedule and run jobs across thousands of systems.
- Build services, APIs, and automation tools for engineering workflows.
- Lead reviews and phased, low-risk production rollouts of major infrastructure features.
- Build and improve CI/CD pipelines for builds, testing, and deployment.
- Deploy and operate containerized services with Docker and Kubernetes.
- Automate routine operational tasks and improve monitoring, logging, dashboards, and alerting.
- Investigate service issues using logs and metrics to improve reliability and reduce alert noise.
- Mentor junior engineers and collaborate with teams across time zones.
Requirements
- Bachelor’s or master’s degree in Computer Science or Engineering, or equivalent experience.
- 5+ years of experience building large-scale backend or distributed systems.
- Strong Java expertise, including concurrency, performance tuning, and debugging.
- Experience building and operating large-scale full-stack applications in production.
- Knowledge of data structures, algorithms, distributed systems development, and testing practices.
- Hands-on experience with relational databases such as MySQL and at least one NoSQL store such as Elasticsearch, MongoDB, or Cassandra.
- Experience with Docker, Kubernetes, and infrastructure automation tools such as Ansible or Chef.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Kibana, or Splunk.
- Strong communication and cross-team collaboration skills.
- Experience managing infrastructure features from development through phased production deployment is preferred.
- Experience investigating failures, setting SLOs, and improving reliability through an SRE approach is preferred.
Tech Stack
AnsibleApache CassandraChefDockerElasticsearchGrafanaJavaKibanaKubernetesMongoDBMySQLPrometheusSplunk
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.