
Development Engineer 4
- 🇮🇳 India
- On-site
- Staff / Principal
- 13 hours ago
- AI
- React.js
- Python
- Java
- triage
- Microservices
- Kubernetes
- MCP
- Model Context Protocol
- RAG
- Elasticsearch
- Kibana
- Logstash
- OpenSearch
- Prometheus
- Grafana
- OpenTelemetry
- Core Web Vitals
- Devops
- TypeScript
- JavaScript
- Design Systems
- Spring Boot
- REST API
- AWS
- Azure
- GCP
- Docker
- CI/CD
- GitHub Actions
- IaC
- Elastic Stack
- Machine Learning
Job Summary
We are seeking a highly technical and hands-on Engineer 4 to lead the design, development, and delivery of next-generation AI-native developer productivity, analytics, reliability, and operational intelligence platforms.This role requires a strong technical leader who can drive architecture, technical design, implementation, and product delivery while also contributing significant hands-on development work. The ideal candidate will combine deep expertise in React UI development, Python and Java backend engineering, AI/LLM technologies, observability platforms, and modern software architecture patterns to help transform how engineering and operations teams leverage AI for analytics, automated triage, root cause analysis (RCA), and operational insights.
The candidate will lead a small team of engineers while remaining actively involved in coding, technical execution, architecture reviews, and product strategy.
Job Description
Technical Leadership
- Lead end-to-end technical architecture, design, and implementation of AI-native platforms and products.
- Serve as technical lead for a development team of approximately 4 engineers.
- Establish engineering standards, architectural principles, and best practices.
- Guide technical decision-making throughout the product lifecycle.
- Partner with product management and engineering leadership to translate business requirements into scalable technical solutions.
- Drive roadmap execution from concept through production delivery.
Full-Stack Development
- Design and develop modern React-based user experiences and dashboards.
- Build scalable backend services using Python and Java.
- Develop APIs, microservices, event-driven services, and data processing pipelines.
- Implement cloud-native applications running on Kubernetes and modern container platforms.
- Perform hands-on coding, code reviews, debugging, and production support.
AI & Intelligent Analytics Solutions
- Design and implement AI-powered developer productivity and operational intelligence solutions.
- Build agentic workflows leveraging LLMs, MCP (Model Context Protocol), Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
- Develop automated triage and RCA capabilities using AI-driven analytics.
- Integrate AI copilots, intelligent assistants, and conversational experiences into engineering workflows.
- Build AI-driven insights that improve reliability, performance, observability, and operational efficiency.
Observability & Analytics
- Architect and implement observability solutions leveraging:
- Elasticsearch
- Kibana
- Logstash
- OpenSearch
- Prometheus
- Grafana
- OpenTelemetry
- Design analytics pipelines that correlate:
- Logs
- Metrics
- Traces
- User sessions
- Customer experience signals
- Build intelligent dashboards for:
- Error analysis
- Latency investigation
- Traffic analysis
- Core Web Vitals
- Reliability metrics
- Operational health
Team Leadership & Mentorship
- Mentor engineers and foster technical excellence across the team.
- Lead technical design reviews and architecture discussions.
- Drive engineering best practices for:
- Code quality
- Testing
- Security
- Performance
- Reliability
- DevOps
- Guide the team through delivery of complex cross-functional initiatives.
Technical Skills:
Frontend
- React
- TypeScript
- JavaScript
- Modern UI frameworks and design systems
- State management and performance optimization
Backend
- Python
- Java
- Spring Boot
- REST APIs
- Microservices Architecture
Cloud & Platform Engineering
- AWS, Azure, or GCP
- Kubernetes
- Docker
- CI/CD pipelines
- GitHub Actions
- Infrastructure as Code
Observability & Analytics
- Elasticsearch / ELK Stack
- Kibana
- Grafana
- Prometheus
- Distributed tracing
- OpenTelemetry
AI / GenAI
- LLM concepts and architectures
- MCP (Model Context Protocol)
- AI agents and agent orchestration
- Retrieval Augmented Generation (RAG)
- Prompt engineering
- Vector databases and embeddings
- AI-assisted development tooling
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 thebenefits summary on our careers site for more details.
Education
Bachelor's DegreeWhile 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.Certifications (if applicable)
Relevant Work Experience
7-10 YearsComcast 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.Development Engineer 4 · Comcast (CC) of Willow Grove