Senior Software Engineer – Cloud

3 days ago

Bengaluru, Karnataka, India Ours Global Full time ₹ 20,00,000 - ₹ 25,00,000 per year
About Company

OURS GLOBAL is a leading offshore IT & ITeS outsourcing company delivering innovative solutions across software development, cloud, SaaS, BI, and IT support services. With global delivery capabilities and a strong focus on scalability, transparency, and performance, we empower businesses across industries to accelerate growth and efficiency through technology.

We are currently hiring a Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson) at our Bangalore office. If you are passionate about cloud-edge hybrid architectures, AI inference optimization, and containerized deployments, this is your chance to work on cutting-edge GenAI workloads with global impact.

Job Details

Job Title: Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson)

Location: Bangalore [Remote/Hybrid]

Salary: As per Industry Standards

Education: Bachelor's/Master's degree in Computer Science, Engineering, or related fields.

Experience: 10+ Years in Software Engineering

Job Summary:

As a Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson), you will design and implement a unified Docker-based deployment pipeline for cloud and edge environments. You will optimize real-time inference services for GenAI models (LLMs and beyond) running on NVIDIA Jetson devices, while collaborating with AI/ML teams to enable scalable hybrid deployments. This role combines cloud orchestration expertise with edge performance optimization, making it critical to our AI-driven solutions strategy.

Key Responsibilities:

  • Design & implement a Docker-based deployment pipeline for seamless cloud and edge integration.
  • Optimize and adapt Python/FastAPI inference services for real-time GenAI performance on edge devices.
  • Build & maintain Kubernetes deployments for hybrid workloads (cloud + NVIDIA Jetson).
  • Collaborate with AI/ML teams to integrate and deploy inference models to edge environments.
  • Troubleshoot, optimize, and stabilize inference workloads under constrained edge hardware conditions.

Skills & Qualifications:

  • 10+ years of professional software engineering experience.
  • Strong proficiency in Python (FastAPI experience preferred).
  • Proven expertise with Kubernetes and container orchestration at scale.
  • Hands-on experience with real-time AI inference on embedded GPUs (NVIDIA Jetson or similar).
  • Solid knowledge of performance optimization and resource constraints in edge environments.
  • Strong problem-solving ability and collaborative mindset across AI/ML and infrastructure teams.

Preferred Qualifications:

  • Experience with GPU acceleration frameworks (CUDA, TensorRT).
  • Familiarity with CI/CD pipelines for containerized deployments.
  • Knowledge of network optimization for cloud-to-edge communication.
  • Background in distributed systems and scalable architectures.

What We Offer:

  • Opportunity to work on cutting-edge AI inference solutions across cloud and edge.
  • Exposure to hybrid cloud architectures with global clients.
  • A collaborative and innovation-driven work culture.
  • Competitive salary packages aligned with industry standards.
  • Continuous learning opportunities in AI, edge computing, and advanced cloud technologies.

Job Application Details:

Candidates fulfilling the above requirements may email their resume to , walk-in or you can submit your resume online by clicking the "Apply Now" button below.

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