Careers

OONet encourages the existing employees to recommend qualified persons for the Sr Software Engineer position, detailed below.

We offer $1000 for each referral, if the candidate meets the minimum requirements and employed with OONet for a minimum period of 150 days. US Citizens preferred.

Translate functional requirements. Design, develop, implement and support SDLC processes. Design patterns on

development and maintenance of projects. Use skills in Microsoft, .NET, ASP, C#, SQL Server, Azure, Web

services, Web API, REST services, HTML. SQL, TSQL, Stored Procedures, View, Functions, AWS and cloud

technology. In charge of solution from end to end. Work with the project team to manage and resolve issues. 

Travel and/or Relocation to various unanticipated locations throughout USA may be required.

Requirements: Must have Bachelor's Degree in IT, Computer Science or related with 60 months of related Experience.

Key Responsibilities Provision and manage GPU-enabled infrastructure and specialized hardware for training and inference workloads. Design and optimize scalable systems capable of handling massive data volumes for LLM training pipelines. Implement and maintain low-latency, high-throughput inference environments for serving LLMs in production. Build and manage orchestration systems using Kubernetes and containerized workloads. Automate infrastructure management with Infrastructure as Code (IaC) frameworks (e.g., Terraform, Ansible, Pulumi). Monitor, troubleshoot, and optimize performance across compute, storage, and networking layers. Collaborate with ML engineers and researchers to ensure infrastructure aligns with model training and deployment needs.

Required Skills & Experience Proven hands-on experience with GPU-enabled infrastructure management (NVIDIA GPUs, CUDA, NCCL, GPU drivers). Strong background in designing distributed systems that handle large-scale data pipelines and high-performance workloads. Experience with Kubernetes orchestration and workload scaling for ML/AI use cases. Proficiency with Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, etc.). Strong knowledge of cloud platforms (AWS, GCP, Azure) and on-premise HPC clusters. Familiarity with storage architectures (object storage, distributed file systems like Lustre, Ceph, BeeGFS). Understanding of networking performance optimization (RDMA, InfiniBand, NVLink). Experience supporting ML frameworks (PyTorch, TensorFlow, DeepSpeed, Hugging Face Accelerate) in distributed training/inference environments.

Preferred Qualifications Experience with MLOps practices (CI/CD for ML, model versioning, monitoring). Exposure to AI accelerators beyond GPUs (TPUs, Habana Gaudi, AMD MI). Knowledge of observability tools (Prometheus, Grafana, Datadog) for GPU/cluster monitoring. Familiarity with data engineering for large-scale preprocessing pipelines.

Key Responsibilities • AI/ML Integration with ERP (Forecasting, Anomaly Detection, NLP for Finance Ops) • ● ERP Cloud Transformation, Implementation & Migration (Oracle Cloud/EBS – GL, AR, AP, PPM, Procurement, Order • Mgmt) • ● Finance Transformation (A2R, R2R, Quote-to-Cash, Project to Close) • ● Solution Architecture & Business Process Redesign • ● RFP Leadership, Bid Management & AI-Driven Proposal Automation • ● M&A ERP Integration & Data Harmonization • ● AI Governance & Risk Management for ERP Programs • ● Onshore/Offshore Team Leadership (100+ members) • ● Executive Stakeholder & CxO Engagement

Job Description: Job Description: • Lead the design development and deployment of full stack applications using Java and modern JavaScript frameworks. • Architect scalable backend systems using Spring Boot REST APIs and microservices. • Develop responsive and dynamic user interfaces using React Angular or Vuejs. • Collaborate with cross functional teams including Product QA and DevOps. • Conduct code reviews enforce best practices and mentor junior developers. • Optimize application performance and scalability. • Stay updated with emerging technologies and propose innovative solutions. • Strong expertise in Java Spring Boot and RESTful API development. • Proficiency in frontend frameworks like React Angular or Vuejs. • Solid understanding of JavaScript TypeScript HTML5 and CSS3. • Experience with SQL and NoSQL databases eg MySQL PostgreSQL MongoDB. • Familiarity with Docker Kubernetes and CICD pipelines. • Experience with cloud platforms such as AWS Azure or GCP. • Strong problem solving debugging and analytical skills. • Excellent communication and leadership abilities.

Email to: neelam@oonet.com OR Mail your Resume to: OONET, 550 E Lanier Ave., Fayetteville, GA 30214