Granica Logo

Granica

Software Engineer, Infrastructure

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in Mountain View, California
Senior level
In-Office or Remote
Hiring Remotely in Mountain View, California
Senior level
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
The summary above was generated by AI

Join Granica’s core engineering team to build and scale the infrastructure powering massive data systems, automated deployments, and high‑reliability AI workloads. This is a deep engineering role — not ops, not feature delivery. The infrastructure you build directly enables:

  • exabyte‑scale data systems

  • fast research‑to‑production cycles

  • reliable enterprise AI workloads

This role offers deep ownership, high technical impact, and a long horizon.

What You’ll Do-
  • Design and operate cloud infrastructure supporting petabyte–exabyte‑scale systems.

  • Manage and evolve production Kubernetes clusters with high availability and predictable scaling.

  • Build and optimize CI/CD pipelines for faster builds, reliable tests, and safer deployments.

  • Improve developer experience by reducing friction and automating workflows.

  • Contribute to E2E testing and release‑confidence systems.

  • Strengthen observability across logging, metrics, tracing, and alerting.

  • Collaborate across engineering teams on architecture, reliability, and scaling challenges.

  • Own customer‑facing technical integration — guide deployments, troubleshoot infra‑level issues in customer environments, and ensure Granica runs reliably within diverse cloud, data, and security stacks.

  • Drive operational excellence through reliability, automation, and best practices.

What We're Looking For-
  • 5+ years in infrastructure, platform, or distributed systems engineering

  • Strong coding skills in Go, Java, Python, or similar

  • Production‑grade Kubernetes experience with strong cloud and containerization skills across AWS/GCP/Azure and Docker.

  • Deep experience with CI/CD systems and cloud infrastructure

  • Proficiency with infrastructure‑as‑code (Terraform)

  • Ability to debug complex, cross‑layer issues (networking, storage, runtime)

  • Track record of designing scalable, reliable, cost‑efficient systems

  • Thrives in fast‑paced startup environments with strong communication and ownership.

Nice-to-Haves:
  • Experience with data platforms or lakehouse systems

  • Familiarity with Spark, Trino, Iceberg, Delta, Airflow

  • Exposure to observability stacks (Prometheus, Grafana, ELK, Datadog)

Compensation & Benefits
  • Competitive salary, meaningful equity, and substantial bonus for top performers

  • Flexible time off plus comprehensive health coverage for you and your family

  • Support for research, publication, and deep technical exploration

At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

Similar Jobs at Granica

21 Days Ago
Remote
United States
280K-340K Annually
Senior level
280K-340K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.
Top Skills: AIAnalyticsCloud Data EnvironmentsData EngineeringData InfrastructureMachine Learning

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account