• Contributing to long-term initiatives such as, but not limited to: Unlocking on-premises deployment of space algorithms with Kubernetes • Continuously improving the developer experience of your teammates (software and space) • Collaborating with space engineers and other software engineers to develop algorithms as services • Designing and developing core algorithms and infrastructure from early-stage prototypes to final deployment • Enhancing and extending the observability of our systems • Reviewing PRs and design documents, contributing to code via business-driven implementations and bug fixes, and reducing tech debt

Role Description Runware is building the API layer for the next generation of AI products. Our platform gives teams fast, reliable access to real-time inference across thousands of models through a single flexible API. We help customers build and scale media generation products with better performance, lower cost, and less operational complexity. We are looking for a Staff/Senior DevOps Engineer to help build, operate, and scale the infrastructure behind Runware’s global AI inference platform. You’ll play a critical role in making our systems faster, more resilient, easier to operate, and ready for the next stage of growth. As a Staff/Senior DevOps Engineer, you’ll help design, build, and operate the systems that power real-time AI inference across large-scale GPU fleets and a global production platform. This is not a traditional DevOps role; you’ll be working at the intersection of: - Bare-metal infrastructure - GPUs - Networking - Automation - Observability - High-performance distributed systems You’ll turn complex, hardware-driven infrastructure into reliable, automated, developer-friendly platforms. Your responsibilities will include: - Provisioning and orchestration - Deployment pipelines - Monitoring - Incident response - Capacity scaling You’ll build the foundations that let Runware scale with confidence: infrastructure that is fast, resilient, observable, secure, and built for the demands of real-time AI. Qualifications - Strong experience as a DevOps Engineer, SRE, Infrastructure Engineer, Platform Engineer or similar - Deep Linux knowledge and confidence debugging real production issues across networking, storage, performance, services and system behaviour - Hands-on experience building automation, Infrastructure-as-Code, CI/CD pipelines and deployment workflows - Experience operating high-availability, low-latency or high-throughput platforms - Strong networking fundamentals across TCP/IP, DNS, load balancing, routing, firewalls, proxies, TLS and HTTP - A calm and pragmatic approach under pressure - Strong communication skills and good judgement - Bias toward automation over manual toil Requirements - Build and scale the infrastructure that powers real-time AI inference across GPU fleets, bare-metal servers, serverless and containerised production systems - Help evolve Runware’s platform toward more elastic, on-demand infrastructure - Make Runware faster, more reliable and more resilient by improving critical paths - Automate the hard parts of infrastructure operations - Build the observability backbone for a high-performance AI platform - Play a leading role in production operations, incident response, debugging and post-incident improvements - Strengthen the security and compliance foundations of our infrastructure Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations

• Diseñar, construir y operar infraestructuras cloud nativas en AWS. • Desarrollar y mantener servicios backend y APIs en Node.js. • Crear y mejorar pipelines CI/CD y despliegues automatizados. • Integrar prácticas DevOps para mejorar fiabilidad, seguridad y rendimiento. • Mejorar la observabilidad, resolución de incidencias y salud del sistema. • Colaborar con equipos de producto y arquitectura en un entorno LeSS.

Role Description We're hiring a Senior DevSecOps Engineer to own the security posture of a production platform that processes millions of real-time transactions for thousands of merchants. You'll report to the Director of DevOps & SecOps and work alongside a small, high-trust infrastructure team. This is a senior individual contributor role with real scope. You'll drive our PCI DSS 4.0 program end to end, including: - Evidence collection - Architectural decisions for evidence collection - Ownership of SOC 2 continuous monitoring - Deciding how security is enforced in CI/CD pipelines - Managing payment data security in a fraud-prevention context You will: - Work with a stack primarily on AWS, heavily Terraform-managed - Manage workloads across a mix of compute services - Oversee a container orchestration migration - Run multiple CI/CD systems and centralized secrets management - Implement modern observability and security monitoring - Contribute to Infrastructure-as-Code practices Qualifications - Six or more years securing production cloud environments - Fluency in Terraform and AWS - Proficiency in Python and Bash - Experience leading at least one compliance implementation (PCI, SOC 2, HITRUST, FedRAMP) - Strong communication skills for interacting with auditors, leadership, and engineers - Experience in payments, fraud prevention, or regulated-data domains is a plus Requirements - Ability to think critically about the engineering relationship - Experience with compliance controls that reduce risk - Willingness to collaborate and approach problems as a team Benefits - High-performing team passionate about fraud prevention - Community driven by core values: Integrity, Pride, Humility, and Impact Company Description Wyllo is a CX-first, end-to-end risk intelligence platform that helps ecommerce merchants manage fraud, policy abuse, and customer experience across the entire commerce lifecycle.