Senior DevOps & Full-Stack Engineer

• Own the CI/CD pipelines for the platform's services and web application using GitHub Actions with keyless (OIDC) authentication, automated linting, testing, builds, pinned container images, deployments, approval gates, release evidence and rollback. • Manage the promotion path from protected branches through preview and parity validation to production, including staged deployments and pre-deployment readiness checks for secrets, database migrations and configuration. • Collaborate with mobile engineer on build, signing and release automation for iOS and Android applications. • Own and manage Google Cloud infrastructure as code with Terraform including Cloud Run services, Cloud SQL (PostgreSQL), Memorystore, Artifact Registry, Secret Manager, IAM, and networking across isolated environments. • Enhance resilience through database availability, backups, point-in-time recovery, disaster-recovery runbooks, capacity planning and cost control. • Operate managed services depended on by the platform including Temporal Cloud workers, Stripe and Stripe Connect webhooks, LiveKit, transactional email and feature flags. • Implement security with least-privilege access, internal service privacy, secrets management and rotation, dependency and container scanning. • Build observability using OpenTelemetry and Google Cloud Operations: structured logs, traces, metrics, dashboards, alerts and service-level objectives. • Lead incident response including on-call readiness, application/data/pipeline/infrastructure diagnosis, clear communication of impact, and conduct post-incident reviews. • Support security reviews and penetration tests with evidence and close findings with tested changes. • Develop and maintain back-end features and services across the TypeScript platform (NestJS / Fastify APIs, PostgreSQL data models and migrations, Temporal workflows) and support Next.js web application where needed. • Contribute to the next version of the platform for services, data and infrastructure for service orders, delivery, invoicing and settlement. • Build secure APIs with authentication, role-based authorization, payments, notifications and administrative operations tested end-to-end. • Utilize AI-assisted development workflow for implementation, infrastructure as code, debugging, testing, investigation, code review, and documentation. • Verify AI-assisted changes through code inspection, automated tests, runtime evidence and security review before release, never releasing infrastructure changes without a reviewed plan. • Write clean, testable code and contribute disciplined code reviews, runbooks and architecture decision records. • Document environments, pipelines, access and recovery procedures to ensure deployments and production support do not depend on a single individual. • 8+ years in software engineering with at least 3 years in DevOps, cloud infrastructure or site reliability for production platforms. • 3+ years of production back-end development experience. • Proven CI/CD ownership: design and operation of pipelines from commit to production, covering tests, builds, containers, deployments, approvals and rollback using GitHub Actions or equivalent. • Production experience on Google Cloud preferred, including containers (Cloud Run or Kubernetes), managed databases, IAM, networking, secrets, and backup/restore. • Experience with Terraform or equivalent Infrastructure as Code for state management, module design, environment isolation and safe change review. • Production use of Docker with secure, minimal images and runtime configuration. • Experience with logs, metrics, traces, alerting and service-level objectives in production, with incident leadership to verified fix and post-incident review. • Strong security practices including least-privilege access, secrets management, keyless CI auth, dependency/image scanning, and secure handling of payment and personal data. • Proficient backend TypeScript development with Node.js (NestJS or similar), REST APIs, authentication, authorization, PostgreSQL schema design, migrations and performance. • Proficiency with AI development tools: context engineering, task decomposition, context management, iterative refinement and verification of generated work. • Ability to independently inspect, test, debug, secure and explain AI-assisted code and infrastructure changes, treating generated output with accountability. • Strong engineering practices: Git workflow, automated testing, code reviews, documentation and production support. • Excellent communication skills in English for explaining technical trade-offs and risks to stakeholders. • Preferred experience includes in-depth knowledge of Google Cloud components (Cloud Run, Cloud SQL, Memorystore, Artifact Registry, Secret Manager, Cloud Operations, Workload Identity Federation). • Experience with Temporal or other durable workflow engines in production. • Familiarity with Stripe and Stripe Connect for marketplace payments, webhooks, idempotency, refunds and payouts; LiveKit or WebRTC. • Experience moving a modular monolith towards independently deployable services, event-driven design, API versioning. • Experience with Kubernetes / GKE, platform engineering or internal developer platforms. • Knowledge of security and compliance practice including penetration-test remediation, audit evidence, UAE data protection law, SOC 2 or ISO 27001 controls. • Experience with mobile CI/CD for Flutter applications including signing and App Store and Google Play automation. • Knowledge of cloud cost management, Python for AI services, marketplace, fintech, booking or payments platforms.