Cloud Network Engineer

About AppLovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize, and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

We’re Looking For a Network Engineer

With a strong focus on cloud networking to join our team. In this role, you’ll help design, build, and maintain scalable, secure, and reliable network infrastructure across our cloud environments. You’ll work closely with DevOps, Security, and Engineering teams to ensure seamless connectivity and performance for our platform and services.

What You’ll Do

• Design, implement, and manage cloud networking architectures (VPCs, subnets, routing, firewalls, load balancers, VPNs, and interconnects).
• Automate infrastructure using Infrastructure as Code (Terraform, Ansible, Helm, etc.).
• Integrate networking into CI/CD workflows and cloud-native deployments (Kubernetes networking, ingress controllers, service mesh).
• Troubleshoot Linux-based networking issues (TCP/IP, DNS, TLS, iptables) across layers 3–7.
• Partner with cross-functional teams to improve performance, availability, and security.
• Contribute to network observability and monitoring (Prometheus, Grafana, Datadog).
• Document designs, processes, and runbooks; participate in on-call rotation.

What We’re Looking For

• 3+ years of experience in DevOps, SRE, or Network Engineering with a strong cloud focus.
• Hands-on expertise with AWS, GCP, or Azure cloud networking (VPCs, routing, load balancing, firewalls).
• Proficiency with Infrastructure as Code (Terraform, Ansible, Pulumi, Helm).
• Experience with Kubernetes networking (CNI, ingress, service mesh).
• Excellent troubleshooting skills in Linux networking.
• Strong communicator and collaborator who thrives in cross-functional teams.

Nice to Have

• Traditional data center networking knowledge (routers, switches, firewalls, load balancers – Cisco, Arista, Juniper, F5).
• Familiarity with routing protocols (BGP, OSPF, VXLAN, GRE).
• Experience with security best practices (network segmentation, zero-trust).
• Exposure to observability and monitoring tools (Prometheus, Grafana, ELK, Datadog).
• Strong scripting/automation skills (Python, Bash, or Go).

Compensation & Benefits

AppLovin provides a competitive total compensation package with a pay-for-performance rewards approach. Total compensation is based on factors including market location, knowledge, skills, and experience. Equity and other incentive compensation may be provided, in addition to dental, vision, and other benefits.

CA Base Pay Range: $119,000 – $179,000 USD

Important Notices

• AppLovin has become aware of scams targeting jobseekers with fake “app optimization” roles. We do not ask candidates to download apps or make payments.
• We communicate only through our Careers page and official applovin.com email addresses.
• If contacted through unofficial channels (WhatsApp, Telegram) or asked for payment, these are not legitimate.
• AppLovin is an equal opportunity employer committed to inclusion and diversity. All applicants will be considered regardless of legally protected characteristics.
• Reasonable accommodations for disabilities are available upon request at [email protected].
• We consider all qualified applicants with criminal histories consistent with applicable law.
• AI-assisted tools may be used in hiring, but all decisions are made by human reviewers.