Role Description Responsible for leading projects while integrating knowledge of business and functional priorities for the functional systems and technology platform. - Provides expertise in at least one functional area of technology and provides recommendations for new applications or application enhancements. - Manages entire life cycle of most assigned projects. - Writes application codes, develops user interfaces, develops unit test cases and harnesses; creates design, interface, system and user documentation; tests software and interfaces, supports end to end and performance testing and performs other tasks needed to complete projects. - Assists in testing and troubleshooting hardware and applications to ensure integration with product deployments. - Works with Business Partners when developing technical requirements and design. - Develops deployment software and application administration software as well as creates deployment and application support documentation. - Works within project specifications to meet goals and objectives in a timely and accurate manner; raises issues expediently that could impede the project specifications or timelines. - Consistent exercise of independent judgment and discretion in matters of significance. - Regular, consistent, and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. - Other duties and responsibilities as assigned. Qualifications - Requires advanced knowledge of Database Technologies (Oracle/SQL Server). - Familiarity with various programming languages and Integrated Development Environment (C#, ASP.NET MVC 5, Visual Studio, etc.). - Leads functional and technical troubleshooting for existing macros across multiple frameworks. - Working knowledge of emulator software (3270, Rhumba, Reflections, etc.) and related CSG transactions used in Macros. - Possess advanced analytical and problem-solving skills. - Working knowledge of GUI Macros (Macro Express, Auto Hot Key, Automation Anywhere, ACSR). - Complies with National standards and business processes. - Must understand PII and CPNI data classifications and compliance requirements. Requirements - Able to work flexible hours, including early morning, late nights, and weekends to manage CSG releases, large project launches, macro automation kick off, and to achieve deadlines. - On call support on a rotating schedule. - Expected to travel as needed (generally 1-2 times annually). - Regular, consistent, and punctual attendance. - Excellent interpersonal, verbal, listening and written communication skills. - Highly developed data analysis skills, problem solving, decision-making and attention to detail. - Able to work independently and as an effective member of a virtual team leveraging the defined technologies provided (i.e., Teams, Camera, etc.). - Self-motivated, high energy and able to work in a constantly changing and often stressful environment. Benefits We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the benefits summary on our careers site for more details. Education - Bachelor's Degree preferred. - Comcast may also consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience - 7-10 Years

Role Description The Feed Relevance team is responsible for the end-to-end systems that power personalization and ranking for the main Reddit feeds. We prioritize building scalable, extensible, and highly performant personalization systems to improve the user experience and drive key business metrics. As a Senior Staff Machine Learning Systems Engineer, you will help define and lead the vision for the systems that power the Reddit Home Feed. While this role sits within the Feed Relevance team, it is primarily a systems architecture and backend engineering position rather than a modeling role. We are looking for a distributed systems expert to own the 'engines' of personalization—the real-time serving pipelines, low-latency candidate retrieval systems, and high-throughput data fetching layers that allow our models to impact millions of users in milliseconds. - Architect High-Performance Retrieval: Partner with platform teams to design and implement flexible, ultra-low-latency candidate retrieval solutions that balance discovery with computational efficiency. - Optimize the Serving Lifecycle: Design and build "contributor-friendly" serving pipelines that allow backend and product engineers to safely inject logic and features without needing deep ML expertise. - Build Predictive Reliability: Lead the development of sophisticated shadow-testing infrastructure to evaluate distribution shifts and system performance at scale before code ever hits production. - Drive Cross-Stack Integration: Collaborate across the stack—from GraphQL layers to upstream infrastructure—to ensure the feed’s architecture is resilient, maintainable, and extensible. - Performance Engineering: Identify bottlenecks in the feed's ecosystem and implement systemic fixes that improve the user experience. Qualifications - 10+ years of experience in backend software engineering, with a focus on architecting and scaling high-throughput, low-latency distributed systems for personalization or recommendation engines. - Expert-level understanding of distributed systems, including real-time data pipelines, advanced caching strategies (e.g., Redis, Memcached), and storage layer optimization. - Proven ability to lead technical strategy across organizational boundaries, partnering with Infrastructure and Platform teams to build extensible, "contributor-friendly" architectures. - Adept at navigating complex system trade-offs, such as balancing architectural resilience and latency with the evolving needs of machine learning models. - Strong communicator and mentor who leads through collaboration and technical excellence, with experience influencing best practices across a large engineering organization. Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave

• Assist in the setup, configuration, maintenance, and troubleshooting of server, storage, and GPU-based infrastructure environments • Support cloud infrastructure and services across platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) • Develop and maintain automation scripts and tools using languages such as Python, Shell scripting, Java, or JavaScript • Monitor system performance, availability, and operational health to ensure reliability and efficiency • Collaborate with internal teams to support infrastructure modernization and operational improvements • Participate in troubleshooting hardware, software, networking, and cloud-related issues • Assist with infrastructure documentation, reporting, and process improvement initiatives • Utilize data visualization and reporting tools such as Excel, Power BI, or Tableau to analyze operational metrics and support decision-making • Explore and support the integration of Generative AI tools and concepts into infrastructure management and operational workflows • Contribute to a collaborative team environment while demonstrating initiative, adaptability, and problem-solving capabilities • Support incident response procedures and escalation protocols to minimize system downtime and operational disruptions • Assist with security and compliance monitoring activities to ensure infrastructure environments meet organizational and regulatory standards • Participate in capacity planning and resource optimization initiatives to support scalable infrastructure growth • Contribute to the development and maintenance of technical knowledge bases and runbooks to support team efficiency and knowledge sharing • Support backup, disaster recovery, and business continuity procedures to protect critical infrastructure and data assets • Assist with network configuration, monitoring, and optimization activities to ensure reliable connectivity and performance across enterprise systems.

• Assist in the setup, configuration, maintenance, and troubleshooting of server, storage, and GPU-based infrastructure environments • Support cloud infrastructure and services across platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) • Develop and maintain automation scripts and tools using languages such as Python, Shell scripting, Java, or JavaScript • Monitor system performance, availability, and operational health to ensure reliability and efficiency • Collaborate with internal teams to support infrastructure modernization and operational improvements • Participate in troubleshooting hardware, software, networking, and cloud-related issues • Assist with infrastructure documentation, reporting, and process improvement initiatives • Utilize data visualization and reporting tools such as Excel, Power BI, or Tableau to analyze operational metrics • Explore and support the integration of Generative AI tools and concepts into infrastructure management and operational workflows • Contribute to a collaborative team environment while demonstrating initiative, adaptability, and problem-solving capabilities • Support incident response procedures and escalation protocols to minimize system downtime and operational disruptions • Assist with security and compliance monitoring activities to ensure infrastructure environments meet organizational and regulatory standards • Participate in capacity planning and resource optimization initiatives to support scalable infrastructure growth • Contribute to the development and maintenance of technical knowledge bases and runbooks to support team efficiency and knowledge sharing • Support backup, disaster recovery, and business continuity procedures to protect critical infrastructure and data assets • Assist with network configuration, monitoring, and optimization activities to ensure reliable connectivity and performance across enterprise systems.