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.
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
Similar Jobs at Comcast
Digital Media • Information Technology • News + Entertainment
Seeking a DevOps engineer to design CI/CD pipelines, manage cloud infrastructure, automate deployments, and troubleshoot issues in a collaborative environment.
Top Skills:
AnsibleAWSDockerElastic SearchGoGrafanaKubernetesOpenstackPrometheusPythonTerraform
Digital Media • Information Technology • News + Entertainment
Develop and maintain automated testing frameworks, scripts, CI/CD pipelines, test plans, dashboards, and quality metrics for unified communications products. Responsibilities include API, smoke, and regression testing; debugging automation and environment defects; release support; test strategy development; defect triage; and collaboration with software, network, and external teams. The role requires working with SIP and voice technologies, modern testing tools, Agile and DevOps practices, and variable schedules including nights and weekends.
Top Skills:
AppiumArtifactoryAzure DevopsBambooBddBitbucketC#Ci/CdDjangoFastapiGherkinGitGitlabJavaJavaScriptJenkinsJIRAMavenPythonRestSeleniumSipSoapTdd
Digital Media • Information Technology • News + Entertainment
Develop and architect customized Microsoft Dynamics 365 CRM solutions in complex enterprise environments. Responsibilities include hands-on development, Dynamics 365 Sales and Marketing functionality, Power Platform implementation, system integrations, data quality management, identity and access management, Power BI reporting, reusable frameworks, codebase modernization, and application of software engineering principles. The role also involves Microsoft Copilot and AI integration, with MCP knowledge advantageous.
Top Skills:
Custom PagesCustomer Insights JourneysDynamics 365 MarketingDynamics 365 SalesEvent ManagementMcp ServersMicrosoft CopilotMicrosoft Dynamics 365 CrmMicrosoft External IdMicrosoft Power PlatformModel Context Protocol (Mcp)Pcf ControlsPower BI
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
