As our lead Senior DevOps Engineer, you'll take full ownership of the infrastructure, CI/CD pipelines, deployment systems, and operational reliability that power our AI-driven mobile app. You'll design and implement the entire DevOps platform from the ground up, ensuring fast, L secure, and scalable delivery of features across mobile clients and backend services. Working closely with product, mobile (iOS/Android), backend, and AI teammates, you'll translate high-level needs into automated, resilient systems that support rapid iteration while maintaining high availability, performance, and cost efficiency. Expect to balance greenfield setup with best-in-class practices especially around AI model deployment, on-device/cloud hybrid workflows, monitoring of ML inference, and handling variable traffic. This is ideal if you enjoy 0-to-1 infrastructure projects, making foundational decisions in ambiguity, and building reliable systems. Key Responsibilities - Lead the architecture, implementation, and maintenance of CI/CD pipelines, infrastructure as code, and deployment systems from prototype to production scale. - Design and manage cloud infrastructure (AWS, GCP, or Azure preferred) for scalable backend services, AI workloads, and mobile backend support. - Build and optimize automated workflows for code integration, testing, model deployment (on-device and cloud ML), security scanning, and release processes. - Establish and enforce best practices: IaC, containerization, observability, monitoring/alerting, automated testing, and compliance. - Collaborate on system design, release strategies, performance tuning, and prioritization - Mentor future team members as we expand the engineering group and help shape DevOps culture from the start. Required Qualifications - Professional DevOps/SRE experience building and operating scalable infrastructure for consumer mobile or web apps (AI/ML, travel/location-based, or high-traffic consumer experience is a plus). - Expert-level proficiency with cloud platforms (AWS/GCP/Azure), IaC tools, and container orchestration. - Deep knowledge of CI/CD tools (GitHub Actions), scripting/automation, monitoring/observability stacks, and security practices. - Practical experience supporting AI/ML workflows. - Proven success owning 0-to-1 DevOps setups or leading major infrastructure initiatives and comfortable making foundational decisions independently. - Strong product/operations sense: focus on reliability, low-latency performance, cost-efficiency, security-by-design, and rapid recovery in consumer-facing systems. - Excellent collaboration and communication skills and able to discuss trade-offs clearly with non-technical partners and engineers. Preferred Qualifications - Experience with travel/mobility domains (geospatial services, real-time data processing, offline sync support). - Familiarity with AIOps tools, advanced observability (distributed tracing), or FinOps for cloud cost management. - Exposure to cross-platform mobile support (iOS/Android app distribution, beta testing, analytics integration). - Open-source contributions, personal projects, or a portfolio demonstrating high-quality DevOps work (e.g., scalable pipelines or AI-integrated infra)