Twilio
Senior Engineering Manager (L5)
Remote Engineering role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalLead
Work settingRemote
Accepted candidate locations
India
Role overview
Senior Engineering Manager (L5)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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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