Senior Systems Software Engineer - NV Cloud Functions
New
J
JobgetherCloud Infrastructure
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonBashJavaKubernetesGoRustLinuxGitLab
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related discipline, or equivalent practical experience.
- 3+ years of hands-on professional software engineering experience.
- Expert-level proficiency in at least one systems programming language, such as Go, C, or Rust.
- Strong understanding of data structures, algorithms, distributed software architecture, and systems engineering principles.
- Hands-on experience with Kubernetes, container orchestration, and container technologies.
- Experience automating software delivery and infrastructure workflows using continuous integration and deployment frameworks such as GitLab and ArgoCD.
- Strong scripting skills in Bash, Python, or a comparable scripting language.
- Solid understanding of Linux or other Unix-like operating systems and familiarity with system and kernel internals.
- Strong understanding of performance, security, reliability, and scalability considerations in complex distributed systems.
- Clear technical communication skills and an interest in contributing to open-source projects.
Responsibilities
- Design, develop, and ship scalable services using Java, Go, and Rust for a distributed GPU workload platform.
- Improve the performance, reliability, scalability, and operational behavior of systems that route AI workloads across distributed GPU fleets.
- Build and optimize cloud-native services capable of supporting inference, streaming, and batch workloads.
- Develop and maintain control-plane and edge components for a distributed, open-source platform.
- Automate and optimize build, testing, integration, deployment, and release processes.
- Work with Kubernetes and container technologies to develop reliable workload orchestration capabilities.
- Collaborate with engineering teams to integrate the platform with related scheduling and AI infrastructure.
- Investigate complex distributed systems challenges and balance performance, security, and scalability.
- Contribute to public open-source repositories through code, design proposals, and documentation.
- Triage community issues and maintain a high-quality contributor experience.
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