Backend Software Engineer (Infra Engineer)

Palo Alto, CA
Full Time
Experienced
Job Title: Backend Software Engineer (Infra Engineer)
Position Type: Full time
Location: Palo Alto, CA, USA
Salary Range: $160,000 - $180, 000 (USD)
Job ID#: 155774

Job Description:

We are seeking a Backend Software Engineer with strong infrastructure and cloud deployment experience to join our team at the forefront of AI-driven customer engagement. In this role, you’ll help us redefine how businesses interact with customers by building the backend systems and deployment pipelines that power real-time, personalized AI agent interactions.

You will play a key role in designing and maintaining scalable infrastructure across GCP, enabling secure, containerized, and high-performance systems that support our AI platform in production.

Responsibilities
  • Design, build, and maintain scalable backend services for AI-driven customer engagement.
  • Develop secure and efficient CI/CD pipelines for real-time deployment of AI features and updates.
  • Implement and optimize containerized environments (Docker, Kubernetes) on Google Cloud Platform (GCP).
  • Collaborate with AI engineers to deploy, serve, and monitor LLMs and related models in production environments.
  • Ensure systems meet high availability and data security standards, especially in customer-facing environments.
  • Identify opportunities to automate, optimize, and scale infrastructure across environments (dev/stage/prod).
  • Participate in infrastructure decisions, including Terraform module design and cloud architecture reviews.
Requirements:
  • 5+ years of experience in backend software development, with a focus on cloud infrastructure and deployment.

  • Strong GCP experience, including GKE, IAM, Cloud Build, Cloud Run, or equivalent services.

  • Proficient in Python (primary) and Go (secondary), especially for backend service and scripting.

  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes) in production.

  • Familiarity with Terraform, infrastructure-as-code, and cloud resource management.

  • Understanding of secure deployment practices and least-privilege IAM design.

  • Experience integrating and serving LLMs or other GenAI models in cloud-based environments is a plus.

  • Comfortable working in fast-paced, ambiguous, and cross-functional startup environments.

Nice to Have

  • Experience deploying open-source LLM frameworks (e.g., LlamaIndex, LangChain, vLLM, Ollama, etc.) at scale.

  • Exposure to observability tools (e.g., Prometheus, Grafana, GCP Monitoring, Sentry, etc.).

  • Familiarity with API gateway management, rate-limiting, and edge security best practices.

About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.

Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.
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