Senior AI Platform Engineer: Scalable Backend

Omnissa; Mountain View (CA); Hybrid; USD 163,000 - 343,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Paid time off

Employee ownership

Job summary

Omnissa in Mountain View/Atlanta is hiring a Software Engineer to join the AI Platform Team, building AI-driven features across the Omnissa product ecosystem. 5–10 years of experience and strong Python skills with Java/Go/C++ are expected.

You will design backend services and microservices, integrate AI/ML capabilities, and work with AI engineers to deploy scalable, observable systems. Hybrid work is supported, with competitive compensation and full benefits.

Qualifications

• 5–10 years of experience building scalable applications.
• Strong Python skills with at least one of Java/Go/C++.
• Experience developing backend services, APIs, and microservices.

Responsibilities

• Design, develop, and deliver AI-powered features and services.
• Build and integrate AI capabilities such as LLM-based features and automation.
• Develop backend services, APIs, and application logic that interact with AI/ML systems.
• Collaborate with AI/ML engineers to deploy production-grade applications.
• Build scalable distributed systems with high availability.
• Implement observability and logging for AI components.
• Participate in system design, architecture discussions, and code reviews.
• Continuously improve performance and developer productivity.

Skills

Python

Java/Go/C++

APIs & microservices

REST/gRPC

AI/ML integration

Data structures & design

Containerization

Agile

Problem solving

Education

Bachelor's degree preferred

Tools

Docker

Kubernetes

Job description

Omnissa in Mountain View/Atlanta is hiring a Software Engineer to join the AI Platform Team, building AI-driven features across the Omnissa product ecosystem. 5–10 years of experience and strong Python skills with Java/Go/C++ are expected.

You will design backend services and microservices, integrate AI/ML capabilities, and work with AI engineers to deploy scalable, observable systems. Hybrid work is supported, with competitive compensation and full benefits.