Software Engineer

We are seeking an experienced Software Engineer to help build and operate our GPUaaS platform. This role focuses on high-quality implementation, feature ownership, and operational stability. The ideal candidate is a hands-on engineer who thrives in building infrastructure at scale and owning systems end-to-end—from development to production operations.

This role is ideal for engineers who enjoy deep infrastructure work, Kubernetes internals, and performance-critical systems.

• Design, develop, and maintain custom Kubernetes operators for GPU, storage, and infrastructure automation.

• Implement Custom Resource Definitions (CRDs), reconciliation logic, and lifecycle management for AI workloads.

• Own end-to-end feature implementation following established architectural patterns.

• Configure and optimize CSI-based persistent storage using VAST, Weka, or DDN backends.

• Tune storage performance for workloads such as Jupyter notebooks, training jobs, and inference services.

• Implement and maintain Kubernetes CNI policies using Cilium or Calico.

• Monitor and troubleshoot SR-IOV virtual functions and network performance issues.

• Execute standardized AI training and inference benchmarks (latency, throughput, GPU utilization).

• Analyze nvidia-smi, DCGM, and system-level metrics to identify and resolve performance bottlenecks.

• Contribute to platform observability through monitoring, logging, and alerting.

• Participate in on-call rotations to support critical AI infrastructure components.

• Ensure platform reliability, scalability, and production stability.

• 5–7 years of experience in software, platform, or cloud engineering roles.

• Strong hands-on experience with Kubernetes and platform engineering.

• Proficiency in Go, with experience implementing CRDs and basic controller patterns.

• Experience with Infrastructure as Code, including Kubernetes manifests, Helm charts, and Terraform.

• Working knowledge of Linux systems, networking, PCI passthrough, GPU drivers, and system-level debugging.

• Experience with infrastructure automation tools such as Ansible.

• Proficiency in Python.

• Strong problem-solving skills and a proactive, ownership-driven mindset.

• Excellent communication and collaboration skills.

• A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge 
• A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude 
• Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
• A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda 
• Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you 

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.