• Design, maintain, and evolve automated build, packaging, and release workflows across web, backend, and mobile platforms • Own the end-to-end release lifecycle, including versioning, promotion, rollback, and hotfix strategies • Ensure high reliability and uptime of CI/CD systems through monitoring, alerting, and incident response • Support engineering teams in landing critical releases and resolving build or deployment issues • Build and optimize CI/CD pipelines using modern tooling (e.g., GitHub Actions, CircleCI, self-hosted runners) • Improve build performance, cost efficiency, and execution times across pipelines • Manage and evolve containerized build environments (Docker) and Kubernetes-based infrastructure • Implement infrastructure-as-code practices (e.g., Terraform) for reproducible build environments • Design and implement AI-assisted workflows to automate release validation, failure triage, and incident analysis • Optimize pipeline performance and identify bottlenecks • Generate and maintain build scripts, configs, and test scaffolding • Build AI-powered tooling (agents, bots, or copilots) for release orchestration and CI/CD diagnostics • Integrate AI into developer workflows to reduce manual effort and improve productivity • Continuously evaluate and adopt new AI tools and patterns to evolve League’s delivery capabilities • Build and maintain internal tools, dashboards, and CLI utilities to improve developer workflows • Enhance observability of build and release systems (logs, metrics, alerts) • Create and maintain documentation and self-service tooling for engineering teams • Partner with developers to understand friction points and improve release experience at scale • Implement and maintain secure build and release practices, including certificate and secrets management • Partner with Security and Platform teams to ensure safe and compliant releases • Improve reliability through incident management, postmortems, and continuous improvement loops

• Develop and maintain observability solutions using platforms like Datadog, Prometheus and Grafana • Take a leading role in incident management, including coordinating response efforts, troubleshooting issues, and identifying follow-up actions • Partner with product engineering teams to architect reliable systems, recover from incidents, and learn from mistakes • Work with teams to implement and maintain SLOs, monitoring, and alerting strategies that ensure reliability at scale • Design and implement automation and support tooling to improve system resilience, maintain operational safety and reduce operational overhead • Lead the development and maintenance of runbooks, alert definitions, and incident response procedures • Participate in on-call rotations to provide 24/7 support for critical production systems

• Assist with day-to-day AWS operations • Help deploy Kubernetes workloads (deployments, services, ingress, namespace organization) • Perform basic troubleshooting across services and AWS resources • Document technical processes • Participate in review sessions

• Design, build, and maintain scalable infrastructure automation pipelines using Jenkins and scripted pipelines in Groovy. • Automate infrastructure provisioning, configuration, patching, deployment, and more with Ansible and Terraform • Develop tooling and automation scripts in Groovy, Ansible, Bash, Python • Operate and troubleshoot Linux-based systems, with expertise in performance tuning, remote access, and system hardening. • Work hands-on with a range of AWS services: EC2, ECS, Lambda, CloudWatch, IAM, S3, SNS, and more. • Collaborate across Dev, QA, and IT teams to deliver outcomes driven by business requirements • Monitor and improve system availability, reliability, and security. • Maintain clear documentation for infrastructure, processes, and standards.