5+ years in infrastructure engineering, platform engineering, backend infrastructure, or SRE.
Proven experience managing critical production systems.
Strong knowledge of cloud infrastructure, Linux, networking, databases, and distributed systems.
Hands-on with containerized deployments, infrastructure as code, CI/CD, and observability.
Experience in building reliable APIs, asynchronous workflows, event-driven systems, or data pipelines.
Understanding of reliability patterns like idempotency, retries, and fault tolerance.
Security-focused approach to customer data and advertising accounts.
Responsibilities
Build and operate cloud infrastructure for AI workflows and analytics.
Ensure reliability of workflows for campaign management and ad delivery.
Design scalable systems for asynchronous jobs and data synchronization.
Enhance performance, reliability, and cost efficiency of infrastructure.
Develop and maintain CI/CD pipelines and infrastructure automation.
Collaborate with teams on capacity planning and incident response.
Lead troubleshooting and post-incident reviews for continuous improvement.
Benefits
Opportunity to shape the technical foundation of innovative AI and advertising products.
Impact on customer experience through reliable campaign management.
Collaborative environment with cross-functional teams.
Potential for professional growth in a rapidly evolving field.
Full Job Description
We are looking for a Senior Infrastructure Engineer to build the reliable, scalable foundation behind our AI workflows, advertising operations, and data systems. What You'll Do
Build and operate the cloud infrastructure supporting AI agents, creative generation, campaign management, and analytics.
Ensure the reliability of critical workflows, including campaign creation, approval, budget control, ad delivery, and conversion tracking.
Design scalable systems for asynchronous jobs, event processing, data synchronization, and third-party advertising platform integrations.
Improve the performance, reliability, observability, security, and cost efficiency of our infrastructure.
Build and maintain CI/CD pipelines, infrastructure automation, environment management, monitoring, logging, and alerting.
Partner with product, application engineering, and data teams on capacity planning, service-level objectives, incident response, and disaster recovery.
Lead production troubleshooting and post-incident reviews, turning operational lessons into long-term engineering improvements.
What We're Looking For
5+ years of experience in infrastructure engineering, platform engineering, backend infrastructure, or SRE.
Experience owning and operating critical production systems.
Strong fundamentals in cloud infrastructure, Linux, networking, databases, and distributed systems.
Hands-on experience with containerized deployments, infrastructure as code, CI/CD, and observability.
Experience building reliable APIs, asynchronous workflows, event-driven systems, or data pipelines.
A strong understanding of reliability patterns such as idempotency, retries, rate limiting, isolation, fault tolerance, and data consistency.
A security-minded approach to customer data, advertising accounts, budgets, permissions, and auditability.
Ability to understand product and business risks, make sound infrastructure trade-offs, and drive improvements across teams.
Nice to Have
Experience supporting AI agents, model-serving infrastructure, or large-scale generative workloads.
Experience with advertising technology, third-party marketing APIs, attribution, or real-time data processing.
Experience building infrastructure at an early-stage company and evolving it as the product and user base grow.
Experience improving developer productivity through platform tooling and internal infrastructure.
Why This Role Matters
Infrastructure at Hellyeah directly impacts how quickly and reliably customers can launch campaigns, generate creative, manage budgets, and understand performance. You will have a significant role in shaping the technical foundation of a product that combines AI, advertising workflows, and data-driven optimization.
