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Senior Software Engineer
Spectro CloudCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating AI inference services, with a strong focus on performance optimization, reliability, and deployment automation. Proficient in leveraging modern GPU platforms and distributed systems to enhance AI model efficiency and scalability.
Highest-signal resume keywords
AI Inference ServicesPerformance OptimizationKubernetes AutomationPython ProgrammingMulti-GPU Workloads
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and operate AI inference services in production using engines such as vLLM, SGLang, or TensorRT-LLM
- Bring new models into service from first test to full rollout
- Improve throughput, response time, and memory use across the stack
- Diagnose and fix performance and reliability issues
- Design benchmarks and release criteria for every model shipped
- Set reliability targets and meet them in production
- Scale inference across many GPUs and nodes
- Run inference on modern GPU platforms and latest accelerators
- Automate deployment and operations on Kubernetes
- Write runbooks, tuning guides, and technical documentation
- Collaborate across teams and communicate technical plans clearly
Requirements
What you’ll need- Hands-on experience running AI or LLM inference in production with an engine such as vLLM or TensorRT-LLM
- Working understanding of inference engines, including batching, caching, and memory management
- Experience improving performance, reliability, and efficiency of production systems
- Experience with distributed systems and multi-GPU workloads
- Experience designing benchmarks and release criteria
- Bachelor's degree in Computer Science or a related field
- 4+ years of software development experience, or 2+ years with a Master's degree
- Strong Python and hands-on PyTorch
- Golang for backend services and APIs
- Working knowledge of Kubernetes
- Experience with modern GPU platforms, drivers, and monitoring tools
- Understanding of high-speed networking and interconnects
- Experience with cloud-native applications on AWS, Azure, or GCP
- Comfort in Linux environments and common command line tools
- Experience with automated testing
- Familiarity with AI-assisted development tools
- Clear written communication in English
Benefits
Comp & perks- Efficient and focused hiring interactions
- Opportunity to grow skills and push boundaries
- Collaborative, innovative work culture
- Work with a diverse global team
- Hybrid work arrangement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI InferenceVLLMTensorRT-LLMPerformance ImprovementBenchmark DesignPythonPyTorchGolangKubernetesCloud-Native Applications
Soft Skills
Clear Communication
Tools & Technologies
Modern GPU PlatformsAWSAzureGCPLinux
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
Distributed SystemsMemory ManagementHigh-Speed NetworkingAutomated TestingAI-Assisted Development Tools