Aimed at senior DevOps engineers who design, operate, and evolve multi-cloud platforms. Candidates must have deep expertise in Kubernetes, IaC, and observability tools, with a focus on high-scale production systems and cross-functional collaboration.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Gong via Greenhouse
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. For more information, visit www.gong.io.
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.
As a Senior DevOps Engineer, you'll design, operate, and evolve the platform that runs Gong's production environment across AWS, GCP, and Azure, powering hundreds of Java microservices, ML model-serving workloads, and the internal tooling our R&D organization depends on every day.
You'll own:
A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD
CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments
Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy
You'll solve:
High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants
The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region
Advanced troubleshooting when production, staging, or dev environments break in unexpected ways
You'll impact:
Every engineer at Gong. Our platform is the substrate they deploy on, so your work directly affects their delivery speed
Cost, reliability, and security of the infrastructure that underpins the product our customers pay for
The resilience of Gong's customer experience. The platform you build determines whether thousands of revenue teams can trust Gong to be there when they need it
The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there
How you'll succeed here:
5+ years in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization)
Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos
Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows
Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default
Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after
Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice
Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation
Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout
Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure)
*We operate in a flexible hybrid work model.
What makes the DevOps team at Gong unique?
Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.”
Our DevOps team is dedicated to fostering a culture of collaboration and efficiency to empower our R&D efforts. This mindset permeates everything we do, from developing powerful tools that streamline processes to minimizing communication barriers and optimizing system design and infrastructure architecture. Here, you'll step into a world where versatility is embraced, and everyone is equipped to handle a range of tasks with expertise and agility. Welcome to a dynamic environment where wearing multiple hats is not just encouraged but celebrated.
We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.
Source: Gong careers (Greenhouse)