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infrastructure

Posted 2 weeks ago

Software Architect - DevOps Group

at gongio

Hybrid

Responsibilities

  • Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
  • Create organizational visibility around the most critical infrastructure challenges and opportunities.
  • Lead through expertise and influence, not direct ownership.
  • Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact. You’ll Solve:

Requirements

  • Gong harnesses the power of AI to transform how revenue teams win.
  • The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams.
  • Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.
  • We’re looking for a Software Architect to help shape the infrastructure strategy behind Gong’s Revenue AI platform.
  • Infrastructure Strategy & Standards: Define and evolve Gong’s cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms.
  • AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements You’ll Impact:
  • experience with AWS and cloud-native infrastructure at scale, including strong Kubernetes expertise and distributed systems knowledge.
  • experience in Infrastructure as Code and GitOps methodologies using tools like Terraform, Crossplane, or Pulumi.
  • experience in Python or Go who can build tools, prototypes, and automation when needed.
  • experience leading cross-team initiatives and driving alignment without direct authority.
  • An AI Infrastructure Enabler (Advantage):
  • Experience supporting AI/ML infrastructure, GPU environments, LLM workloads, or large-scale data pipelines is a strong plus.
  • At Gong, we build infrastructure that powers one of the leading AI platforms in the revenue space.
  • We follow a flexible hybrid work model that combines working from home, on the go, or at the office—supporting flexibility, autonomy, collaboration, and strong work habits.

Experience

  • A Deep Technical Expert: Someone with 8+ years of hands-on

Contact

  • For more information, visit www.gong.io.

Additional details

  • At Gong, you will join a company built on innovative products, ambitious goals, and passionate people.
  • We are shaping the future of revenue intelligence and we want people who are excited to build what comes next.
  • You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other.
  • Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact.
  • If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.
  • This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence.
  • You’ll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck. You’ll Own:
  • Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies.
  • Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure.
  • Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.

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