The Role
Develop AI-powered agentic workflows, LLM-integrated automation, intelligent log parsers, observability dashboards, and release-readiness tooling for connectivity device software. Analyze device stability, performance, reliability, telemetry, crash signatures, and system resources while automating defect triage, test generation, failure prediction, and build qualification. Collaborate across engineering teams and document repeatable workflows, triage processes, and operational best practices.
Summary Generated by Built In
Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Job Summary
We are seeking an AI-First Software Development Engineer 3 to join our Pre-Release Operations team supporting the quality and release readiness of connectivity device software. This is a hands-on builder role at the intersection of AI engineering and device quality. The engineer will develop intelligent tooling, implement agentic automation, and integrate AI-driven observability into pre-release workflows while collaborating with senior engineers and cross-functional teams.
Job Description
CORE RESPONSIBILITIES
1 • AI-Powered Engineering & Agentic Automation
• Develop and enhance agentic AI workflows that monitor device health, parse failure logs, classify defects, and generate release readiness signals with reduced manual intervention.
• LLM platforms (Claude, ChatGPT), MCP, Replit, GitHub Copilot - from intelligent log parsers to natural-language defect summarizers and automated triage bots.
• Contribute to the design and implementation of AI-assisted automation frameworks for test generation, self-healing scripts, and predictive failure analysis across pre-release pipelines.
• Identify manual, repetitive engineering workflows and automate them using AI-driven pipelines, including change impact assessment and build qualification.
• Integrate LLM APIs and AI SDKs into existing quality toolchains; prototype rapidly using low-code/no-code AI environments like Replit or Jupyter.
• Create tools and frameworks that improve defect classification, issue correlation, failure pattern detection, and build/spin qualification decisions.
Document tools, workflows, triage playbooks, stability signatures, and operational best practices for repeatable, scalable execution.
2 • Observability, Monitoring & Intelligent Dashboards
• Develop and enhance telemetry pipelines, dashboards, and automated health checkpoints that surface actionable quality signals for connectivity device software.
• Improve pre-release monitoring by designing signal-based health checks and AI-generated actionable quality reports that reduce manual review burden.
• ELK, Grafana, Kibana and extend them with AI-powered insight layers for smarter alerting
3 • Broadband Domain Engineering & Stability Analysis (Good to Have)
• Develop engineering solutions that improve pre-release operational quality for connectivity device software, including gateways, routers, extenders, and RDK-B platforms.
• Perform technical triage and root cause analysis for pre-release issues related to stability, performance, endurance, reliability, and operational readiness.
• Analyse device and system behaviour using logs, crash signatures, telemetry, memory/performance indicators, and platform diagnostics - accelerated by AI-assisted log analysis.
• Support endurance and long-duration test analysis by identifying trends: memory growth, zombie processes, file leaks, throughput degradation, CPU anomalies, and service instability.
Review software changes for risk impact, contribute to change assessments, and support release governance with AI-generated risk summaries.
Qualifications:
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Job Summary
We are seeking an AI-First Software Development Engineer 3 to join our Pre-Release Operations team supporting the quality and release readiness of connectivity device software. This is a hands-on builder role at the intersection of AI engineering and device quality. The engineer will develop intelligent tooling, implement agentic automation, and integrate AI-driven observability into pre-release workflows while collaborating with senior engineers and cross-functional teams.
Job Description
CORE RESPONSIBILITIES
1 • AI-Powered Engineering & Agentic Automation
• Develop and enhance agentic AI workflows that monitor device health, parse failure logs, classify defects, and generate release readiness signals with reduced manual intervention.
• LLM platforms (Claude, ChatGPT), MCP, Replit, GitHub Copilot - from intelligent log parsers to natural-language defect summarizers and automated triage bots.
• Contribute to the design and implementation of AI-assisted automation frameworks for test generation, self-healing scripts, and predictive failure analysis across pre-release pipelines.
• Identify manual, repetitive engineering workflows and automate them using AI-driven pipelines, including change impact assessment and build qualification.
• Integrate LLM APIs and AI SDKs into existing quality toolchains; prototype rapidly using low-code/no-code AI environments like Replit or Jupyter.
• Create tools and frameworks that improve defect classification, issue correlation, failure pattern detection, and build/spin qualification decisions.
Document tools, workflows, triage playbooks, stability signatures, and operational best practices for repeatable, scalable execution.
2 • Observability, Monitoring & Intelligent Dashboards
• Develop and enhance telemetry pipelines, dashboards, and automated health checkpoints that surface actionable quality signals for connectivity device software.
• Improve pre-release monitoring by designing signal-based health checks and AI-generated actionable quality reports that reduce manual review burden.
• ELK, Grafana, Kibana and extend them with AI-powered insight layers for smarter alerting
3 • Broadband Domain Engineering & Stability Analysis (Good to Have)
• Develop engineering solutions that improve pre-release operational quality for connectivity device software, including gateways, routers, extenders, and RDK-B platforms.
• Perform technical triage and root cause analysis for pre-release issues related to stability, performance, endurance, reliability, and operational readiness.
• Analyse device and system behaviour using logs, crash signatures, telemetry, memory/performance indicators, and platform diagnostics - accelerated by AI-assisted log analysis.
• Support endurance and long-duration test analysis by identifying trends: memory growth, zombie processes, file leaks, throughput degradation, CPU anomalies, and service instability.
Review software changes for risk impact, contribute to change assessments, and support release governance with AI-generated risk summaries.
Qualifications:
- Bachelor's degree in computer science, Electronics, Engineering, or related field.
- 7+ years of experience in software engineering, test engineering, or device software quality.
- Demonstrated hands-on use of AI tools (Claude, ChatGPT, Replit, Copilot, or similar) to solve real engineering problems professionally.
- Experience developing or contributing to agentic AI workflows or LLM-integrated automation pipelines.
- Experience with CI/CD quality pipelines using Jenkins, GitHub, or Gerrit.
- Hands-on experience in embedded systems, connectivity device software, or broadband/CPE/gateway platforms.
- Proficiency in Python or Shell, with experience developing automation, log parsers, or telemetry-based tools.
- Good understanding of Linux-based systems, networking fundamentals, and system resource behavior.
- undefinedPreferredExperience with LangChain, AutoGen, or multi-agent orchestration frameworks.Familiarity with RDK-B, broadband gateways, routers, or Wi-Fi platforms.Exposure to ELK, Grafana, Kibana, or similar observability stacks.Experience in technical triage using system logs, crash dumps, traces, and performance metrics.Prior involvement in endurance/reliability testing, defect management, or release readiness reviews.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Skills Required
- Bachelor's degree in computer science, electronics, engineering, or a related field
- 7+ years of experience in software engineering, test engineering, or device software quality
- Professional hands-on experience using AI tools such as Claude, ChatGPT, Replit, or GitHub Copilot for engineering problems
- Experience developing agentic AI workflows or LLM-integrated automation pipelines
- Experience with CI/CD quality pipelines using Jenkins, GitHub, or Gerrit
- Hands-on experience with embedded systems, connectivity device software, broadband, CPE, or gateway platforms
- Proficiency in Python or Shell, including automation, log parsers, or telemetry-based tools
- Understanding of Linux-based systems, networking fundamentals, and system resource behavior
- Experience with LangChain, AutoGen, or multi-agent orchestration frameworks
- Familiarity with RDK-B, broadband gateways, routers, or Wi-Fi platforms
- Exposure to ELK, Grafana, Kibana, or similar observability stacks
- Experience with technical triage using system logs, crash dumps, traces, and performance metrics
- Experience with endurance or reliability testing, defect management, or release-readiness reviews
What the Team is Saying
Justin
Senior Manager, Facilities and Office Administration, FreeWheel
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Ying
VP, Strategic Initiatives, Comcast Advertising
Margi
Director, Data Engineering, FreeWheel
James
President, Comcast Advertising
Jackie-Jane
Senior Support Engineer
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Comcast Compensation & Benefits Highlights
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Healthcare Strength — Offerings include medical, dental, vision, virtual care, healthcare advocacy, and mental‑health resources, which are highlighted as comprehensive. This area is frequently portrayed as a standout component of the package.
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Retirement Support — A 401(k) program with a company match (reported as dollar‑for‑dollar up to 6%, with vesting) is emphasized as a strong element of total rewards. Retirement features are consistently referenced as a meaningful part of overall compensation.
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Parental & Family Support — Paid parental leave for primary and non‑primary caregivers, fertility/family‑forming assistance, adoption/surrogacy reimbursements, and caregiving resources are described as part of a broad suite. The breadth of family support is repeatedly underscored as a strength.
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The Company
What We Do
Welcome to Comcast. From the connectivity and platforms we provide to the content and experiences we create, we bring people together, globally. Our people think the world of our work, and that’s why our work is the best in the world.
Why Work With Us
We believe you can achieve extraordinary things when you feel connected - to the work you do and who you do it with. From the platforms we provide to millions of people, to the content and experiences we create - we bring our customers, viewers and teammates closer together across the globe.
Gallery
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Comcast Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
4 days a week
