Qureos

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Principal Software Engineer

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Job Location:

Austin, TX

Nashville, TN

Broomfield, CO

As a Principal Software Engineer, you will lead the design and development of compute and media-focused cloud services for the Media and Entertainment industry.
We are looking for a highly skilled full-stack or backend cloud engineer experienced with at least one major public cloud platform.


In this role, you will architect and build scalable, performant, and secure compute services that power next-generation media production and distribution workflows.

Key Responsibilities


  • Compute service design and scaling: Design and develop cloud-based compute services for media workloads with focus on scalability, elasticity, and cost efficiency.
  • High-performance architecture: Optimize systems for intensive compute use cases such as rendering, transcoding, and virtual workstation workloads.
  • Cloud deployment and management: Deploy and manage workloads on OCI or other public clouds, leveraging container orchestration (Kubernetes, Docker) and infrastructure as code.
  • System integration: Build integrations across storage, compute, and networking layers to support complete production pipelines in the cloud.
  • Performance optimization: Monitor, tune, and enhance performance for low latency, throughput, and resource utilization.
  • Reliability and automation: Implement CI/CD pipelines, observability, and automated scaling for production environments.
  • Security and compliance: Ensure compliance and security best practices for compute and media services, including encryption, authentication, and network isolation.
  • Cross-team collaboration: Partner with product, networking, and operations teams to deliver end-to-end solutions that meet customer and industry requirements.
  • Innovation: Evaluate emerging compute technologies, virtualization techniques, and cloud orchestration tools to drive continuous improvement.

Education:


Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.


Experience:
  • 8+ years of professional experience building and deploying large-scale distributed systems or cloud services.
  • Strong hands-on experience with at least one major public cloud platform (OCI, AWS, Azure, or GCP).

Technical Skills:
  • Proficiency in Python, Java, or Go for backend development.
  • Strong understanding of cloud compute architecture, VM and container orchestration, and autoscaling mechanisms.
  • Experience with Kubernetes, Docker, and infrastructure as code tools (Terraform, Ansible, or equivalent).
  • Familiarity with networking fundamentals, load balancing, and cloud security practices.
  • Knowledge of storage integration (block and object storage) for media and compute workloads.
  • Experience with CI/CD pipelines, observability, and production monitoring (Grafana, Prometheus, etc.).

Nice-to-Have
  • Experience with media production or rendering workloads (e.g., VFX, animation, broadcast).
  • Understanding of virtual GPU (vGPU) or GPU-enabled compute workloads.
  • Familiarity with virtual workstation or remote visualization environments.
  • Knowledge of serverless compute and hybrid cloud deployment patterns.
  • Experience designing for multi-tenant, high-availability compute platforms.

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