• Design, implement, and maintain security controls integrated into the SDLC, CI/CD pipelines, and cloud environments, ensuring security by default across development and operations. • Collaborate closely with Engineering and DevOps teams to secure cloud infrastructure, Kubernetes clusters, and containerized workloads. • Implement and maintain security configurations in AWS and GCP (e.g., IAM, WAF, GuardDuty, Security Groups), continuously strengthening the cloud security posture. • Automate security processes and controls using scripting and infrastructure as code to improve efficiency and scalability. • Ensure DevSecOps practices align with compliance frameworks such as PCI DSS, ISO 27001/27701, and SOC 2, supporting audits and internal security assessments. • Explore and evaluate emerging technologies and architectures (e.g., Kubernetes enhancements, AI integrations) to ensure secure adoption.

• Contribute code to increase the scalability and reliability of the service • Contribute software tests and participate in peer review to increase the quality of our codebase • Help and develop peers’ capabilities through knowledge sharing, mentoring, and collaboration • Participate in a regular on-call schedule, including occasional paid weekends and holidays • Practice sustainable incident response and blameless postmortems • Resolve customer issues escalated from the Red Hat Global Support team • Work within a small agile team to develop and improve SRE software, support your peers, plan and self-improve • Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle

• Design and implement infrastructure as code solutions that improve reliability, security, and maintainability of our cloud infrastructure • Lead and execute major infrastructure initiatives including cluster upgrades, security improvements, and architectural changes • Develop and maintain CI/CD pipelines that enable teams to deploy safely and efficiently • Improve observability across our systems through enhanced monitoring, logging, and alerting • Participate in an on-call rotation and lead incident response efforts when issues arise • Collaborate with development teams to improve application reliability and performance • Maintain and enhance our security posture through infrastructure hardening and automation • Create and maintain documentation for infrastructure, deployment processes, and incident response procedures

• Partner closely with data engineering and data science teams to enable reliable data pipelines, analytics, and ML workflows • Support, operate, and optimize Databricks and Snowflake environments in production • Operate and support Databricks Jobs and Apache Airflow DAGs created by development teams, ensuring reliable orchestration of data pipelines and Databricks workflows • Monitor, troubleshoot, and optimize systems for performance, reliability, and cost efficiency • Partner closely with security and compliance teams to implement data security, auditing, and access review processes • Design, implement, and maintain CI/CD pipelines using Jenkins and GitOps practices • Provision and manage cloud and data platform infrastructure using Terraform and infrastructure-as-code best practices • Deploy and operate platform and data services on Kubernetes (EKS) clusters • Implement and maintain GitOps workflows using Argo CD • Package, deploy, and manage services using Helm and Kustomize • Automate configuration management and operational tasks using Ansible • Implement and maintain observability and monitoring for infrastructure and data platforms • Participate in incident response and on-call rotations supporting data and platform systems • Contribute to operational standards, documentation, and best practices • Lead technical initiatives, mentor team members, and influence architectural direction