DevOps Engineer

# DevOps Engineer ## About timepay.ai timepay.ai builds AI voice agents and WhatsApp and SMS automation for businesses across industries. Our platform runs lead generation, sales, customer support, retail and collections conversations at scale. ## The role You will own the cloud infrastructure behind real-time voice and messaging at scale. Your work keeps the platform fast, secure, reliable and cost-efficient. We run mainly on GCP, with some workloads on AWS. You will design and automate environments, build CI/CD, secure networks and data, and keep costs in check. ## What we run Our applications are built with Node.js, Python, WebSockets and Next.js. They run on PostgreSQL, Redis and Elasticsearch, packaged with Docker on GCP and AWS. ## What you'll do **Cloud infrastructure (GCP-heavy, plus AWS)** - Design, build and run infrastructure on GCP (GKE, Cloud Run, Compute Engine, Cloud SQL, Memorystore, Pub/Sub, Cloud Storage) and AWS (EC2, EKS, RDS, S3 and related services). - Manage everything as code with Terraform: reusable modules, remote state and separate dev, staging and production environments. - Run and scale Docker workloads on Kubernetes, and manage PostgreSQL, Redis and Elasticsearch in production. **Networking and security** - Design VPCs, subnets, firewalls, load balancers, Cloud NAT, DNS, VPNs and private connectivity between clouds and customer networks. - Secure environments: IAM with least privilege, secrets management, encryption, network segmentation, WAF and DDoS protection. - Set up audit logging, vulnerability scanning and patching, and support compliance needs such as SOC 2 and ISO 27001. **CI/CD and automation** - Build and maintain CI/CD pipelines (GitHub Actions, Cloud Build, GitLab CI or similar) with automated tests, image builds and safe rollouts. - Support zero-downtime deploys with blue-green or canary releases and quick rollbacks. - Automate repetitive operational work with scripts in Bash or Python. **Reliability, monitoring and optimisation** - Set up monitoring, logging, tracing and alerts (Cloud Monitoring, Prometheus, Grafana, ELK or similar). - Own backups, disaster recovery and high availability for critical services. - Tune performance and autoscaling for real-time WebSocket and voice traffic. - Cut cloud costs through rightsizing, committed-use discounts, spot instances and cleanup of unused resources. - Lead incident response and blameless post-mortems. ## What success looks like * 30 days: Audited our GCP and AWS setup, CI/CD and security; shared a prioritised list of gaps; shipped quick wins. * 60 days: Brought key infrastructure under Terraform; improved CI/CD so deploys are faster and safer; set up core alerts and dashboards. * 90 days: Hardened network and IAM security; tested backup and disaster recovery; delivered a measurable cut in cloud costs. ## What we're looking for - 2+ years in DevOps, SRE, platform or cloud engineering. - Strong hands-on GCP experience (GKE, Compute Engine, Cloud SQL, IAM, VPC, Cloud Build or similar) and working AWS experience. - Solid networking: TCP/IP, DNS, load balancing, VPC design, firewalls, NAT, VPNs and TLS. - Terraform in production: modules, state management and multi-environment setups. - Docker and Kubernetes in production. - Experience building CI/CD pipelines from scratch. - Security mindset: IAM, secrets management, hardening and least privilege. - Scripting in Bash and Python; comfortable on Linux. - Experience with monitoring and logging tools and with on-call incident handling. - Ownership and clear communication with developers. ## Good to have - GCP or AWS certifications. - Helm, Argo CD or other GitOps tools. - Running PostgreSQL, Redis and Elasticsearch at scale. - Real-time or WebSocket-heavy workloads, telephony or media servers. - Cloud cost optimisation (FinOps). - Compliance work such as SOC 2, ISO 27001 or the DPDP Act. ## Why join timepay.ai - Own the infrastructure of a fast-growing AI platform, with real say over how it is built. - Work on hard problems: real-time voice at scale, multi-cloud networking and security. - See the direct impact of your work on uptime, speed and cost. - Competitive salary and flexible work.