Twilio
Senior Engineering Manager (L5)
Vaga remota de Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
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Sinal de senioridadeLead
Modelo de trabalhoRemoto
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Resumo da vaga
Senior Engineering Manager (L5)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment.
- Champion team growth and success, prioritizing mentorship and individual development.
- Architect and operate always-available, complex distributed systems in cloud environments.
- Guide technical decisions, articulating trade-offs between cost, performance, and reliability.
- Advocate for agile processes, continuous integration, and robust automation.
- Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects.
- 14+ years of engineering experience with a 5+ year proven track record managing software teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Proven experience managing multiple workstreams within the team.
- Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms.
- Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
- Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).
- Excellent communication, problem-solving, and operational excellence skills.
- Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges.
- Expert programming experience in Go or similar object-oriented languages.
- Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes).
- Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus).
- Familiarity with AI/ML technologies.
- Experience managing and operating AWS infrastructure
- Experience working in a geographically distributed team.
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