About AppNation
We build AI-powered mobile apps that reach millions of users worldwide.
Since 2021, AppNation has been creating products across AI, productivity, and mobile experiences. Our apps, including Genie, Translate AI, and Arch, have reached 90M+ users globally and ranked among the top apps in 30+ countries.
We are a team of builders, designers, and engineers who move fast, take ownership, and create products used by millions.
About the Role
We’re looking for a Senior DevOps Engineer to own and evolve the cloud infrastructure behind our AI-powered mobile apps. You’ll work closely with our engineering teams to build reliable, secure, and cost-efficient systems on Google Cloud Platform, improve how we ship software, and support products used by millions of people worldwide.
This is a hands-on role with ownership across infrastructure, automation, observability, and production reliability, with the opportunity to shape our infrastructure roadmap and engineering practices.
Design, operate, and scale infrastructure on Google Cloud Platform to support our mobile apps, backend services, and AI-powered features.
Build and maintain infrastructure as code with Terraform, keeping development, staging, and production environments consistent and reproducible.
Develop and improve CI/CD pipelines, enabling fast, reliable deployments with automated checks and safe rollback strategies.
Deploy and manage containerized workloads, improving availability, autoscaling, and resource utilization.
Strengthen observability through metrics, logs, tracing, and actionable alerts; define and track service reliability targets.
Lead production incident investigation, document root causes, and implement improvements that prevent recurring issues.
Improve cloud security through least-privilege access, secrets management, network controls, and vulnerability remediation.
Optimize cloud spending and performance through capacity planning, right-sizing, and workload-level cost analysis.
Partner with engineers to remove delivery bottlenecks, automate repetitive operations, and maintain tested backup and recovery procedures.
5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering, with hands-on ownership of production systems.
Strong production experience with Google Cloud Platform, including compute, networking, IAM, storage, and managed database services.
Proven experience building and maintaining infrastructure as code using Terraform.
Hands-on experience with Docker and running containerized applications on GKE, Cloud Run, or both.
Experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Cloud Build.
Strong Linux and networking fundamentals, including DNS, HTTP/TLS, load balancing, VPCs, and firewall configuration.
Experience building monitoring, logging, and alerting solutions using tools such as Cloud Monitoring, Cloud Logging, Prometheus, Grafana, or equivalent platforms.
Proficiency in Python, Bash, or a similar language for infrastructure automation and operational tooling.
A track record of troubleshooting production incidents and improving system reliability, security, and cloud cost efficiency.
Strong ownership, clear communication, and the ability to collaborate with engineers and prioritize effectively in a fast-moving product environment.
Experience supporting high-traffic consumer products, mobile backends, or AI-powered applications.
Familiarity with GCP services such as Cloud SQL, Memorystore, Pub/Sub, and Secret Manager.
Experience with Kubernetes tooling and GitOps workflows, such as Helm and Argo CD.
Experience operating AI inference workloads or optimizing infrastructure for latency-sensitive services.
Experience implementing disaster recovery strategies and validating them through recovery exercises.
Build and scale products reaching millions of users globally.
Work with talented people in a fast-moving AI-first environment.
Take ownership and see your impact directly in the products you build.
Grow quickly with opportunities to lead projects and shape technical decisions.
Enjoy competitive compensation and benefits, including private health insurance, meal and commute support, relocation support, and flexible working options.
Lead containerization strategy and build secure CI/CD automation while managing AWS infrastructure as code, production Kubernetes clusters, and GitOps deployments for reliable, efficient cloud operations.
Designs and manages systems, tools, and infrastructure that help engineering teams build, test, and deliver software reliably, while maintaining CI/CD pipelines, cloud-native services, and production monitoring.
Designs and manages systems, tools, and infrastructure that help engineering teams build, test, and deliver software safely and reliably, while improving CI/CD pipelines, cloud services, monitoring, and security.
Design and operate secure, reliable cloud infrastructure and Kubernetes platforms, leading CI/CD and GitOps delivery while improving observability, cost efficiency, and engineering workflows with AI-assisted tools.
Build and operate developer infrastructure that helps engineers ship software faster and more reliably, including development environments, CI/CD, reusable workflows, release tooling, and support for AI coding agents.
