4 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design and operate cloud infrastructure for petabyte- to exabyte-scale systems.
- Manage and evolve highly available Kubernetes clusters with predictable scaling.
- Build and optimize CI/CD pipelines, automated workflows, testing, and release-confidence systems.
- Improve developer experience by reducing friction and automating workflows.
- Strengthen observability across logging, metrics, tracing, and alerting.
- Collaborate on architecture, reliability, and scaling challenges across engineering teams.
- Guide customer-facing technical integrations, deployments, and infrastructure troubleshooting.
- Drive operational excellence through reliability, automation, and engineering best practices.
Requirements
- 5+ years of experience in infrastructure, platform, or distributed systems engineering.
- Strong coding skills in Go, Java, Python, or a similar language.
- Production-grade Kubernetes experience with cloud and containerization skills across AWS, GCP, Azure, and Docker.
- Deep experience with CI/CD systems and cloud infrastructure.
- Proficiency with Terraform and infrastructure-as-code.
- Ability to debug complex cross-layer networking, storage, and runtime issues.
- Track record of designing scalable, reliable, and cost-efficient systems.
- Strong communication, ownership, and ability to work in a fast-paced startup environment.
- Experience with data platforms or lakehouse systems is a nice-to-have.
- Familiarity with Spark, Trino, Iceberg, Delta, Airflow, Prometheus, Grafana, ELK, or Datadog is a nice-to-have.
Benefits
- Competitive salary, meaningful equity, and performance bonus for top performers.
- 401(k) with company match, comprehensive health coverage, and unlimited paid time off.
- Daily catered meals at the Mountain View office.
- Support for research, publication, and conference participation.
Tech Stack
Apache AirflowApache SparkAWSAzureDatadogDockerGoGoogle Cloud PlatformGrafanaJavaKubernetesPrometheusPythonTerraform
Categories
About Granica
Granica builds AI data infrastructure and a continuous optimization product (Crunch) for enterprises running petabyte- to exabyte-scale lakehouse environments. It sells enterprise software that reduces storage and compute spend through distributed execution, workload optimization, scheduling, and query performance, with approximately $200K in annualized value per petabyte reported within weeks. Founded in 2023 and headquartered in Mountain View, California, the company is privately held.