Senior Full-Stack Python Developer / Team Lead
Salário Estimado
R$ 13.200,00 - R$ 19.800,00
Descrição da Vaga
Job Title: Senior Full-Stack Python Developer / Team Lead DQE Communications, headquartered in Pittsburgh, Pennsylvania, is a fiber-optic Internet and data network access provider for businesses and carriers in Pennsylvania, West Virginia, and Ohio.
DQE was established in 1997 as a dark fiber infrastructure company in the Pittsburgh metropolitan area.
Over the years, DQE has grown in both our fiber footprint and our product offerings to become one of the leading regional providers of secure, reliable, data network services.
With an ongoing commitment to structured, well-planned growth, DQE is continuously expanding the fiber optic network to serve even more customers.
Working with DQE means businesses and keystone institutions get a partner dedicated to understanding specific needs and committed to delivering the right solution.
Job Summary We are seeking a Senior Full-Stack Python Developer / Team Lead with deep expertise in Monitoring and Observability across application, infrastructure, and network layers, along with hands-on experience using AI-assisted coding tools and agentic workflows (e.g., Claude Code, Replit Agent, or similar).
This role will lead the development of next-generation applications that combine robust backend systems, intuitive front-end experiences, and comprehensive visibility into system behavior—enabling proactive performance management and operational intelligence in an ISP/service provider environment.
Key Job Responsibilities:
Required Skills/Abilities:
Education and Experience:
What We Offer:
Requisitos
- Strong proficiency in Python and Django; experience delivering and supporting production web applications
- Solid frontend experience with modern JavaScript frameworks (React or Vue) and building userfriendly operational UIs
- Demonstrated experience implementing observability for production systems (metrics, logs, traces/events, alerting)
- Experience integrating with infrastructure/network telemetry sources and/or monitoring platforms (specific protocols/tools explored during interviews)
- Ability to design scalable data pipelines for ingestion, normalization, storage, and retrieval of telemetry
- Strong experience with AWS services (or equivalent) and operating services in production environments
- Familiarity with asynchronous/background processing and eventdriven patterns (queues/workers/caches)
- Strong SDLC discipline: GitHub workflows, CI/CD, automated testing, and operational readiness practices
- Handson experience using AIassisted coding tools and/or agentic workflows in real development (with guardrails, testing, and observability)
- Strong communication skills and comfort working with network and operations stakeholders
- 7+ years in software development; 5+ years in recent fullstack Python development
- Proven experience building or integrating with network monitoring and observability platforms
- Proven experience with Claude Code, Replit Agent, or similar AIassisted coding tools
Responsabilidades
- We are seeking a Senior Full-Stack Python Developer / Team Lead with deep expertise in Monitoring and Observability across application, infrastructure, and network layers, along with hands-on experience using AI-assisted coding tools and agentic workflows (e.g., Claude Code, Replit Agent, or similar)
- This role will lead the development of next-generation applications that combine robust backend systems, intuitive front-end experiences, and comprehensive visibility into system behavior—enabling proactive performance management and operational intelligence in an ISP/service provider environment
- Design and develop fullstack applications using Python (Django) and modern frontend frameworks
- Build and evolve observability and telemetry capabilities across application and network layers (metrics, logs, traces/events)
- Develop resilient ingestion and processing services that transform raw operational signals into actionable insights for Network Operations and Engineering
- Implement alerting, dashboards, and SLO/SLA reporting practices that reduce noise and accelerate incident response
- Lead incident response support, root cause analysis, and performance tuning using observability data
- Deliver productionready software using GitHubbased SDLC practices (code reviews, CI/CD, automated validation, safe releases)
- AIassisted development focus: leverage AIassisted coding tools and agentic workflows to accelerate delivery while ensuring correctness, security, and full observability of system behavior and outputs
- Mentor developers and promote a culture of observabilitydriven development and operational excellence
- Collaborate with crossfunctional teams (Network Engineering, Operations/NOC, Product/Business) to align solutions with service reliability, performance, and business goals
Benefícios
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