Resumo da vaga

Software Engineer (L3)

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Design and deliver robust, high-scale routing experiences for Data Pipelines for Twilio Segment.
  • Operate always-available, complex distributed systems in cloud environments.
  • Collaborate cross-functionally with design, product, and other engineers to define solutions that balance usability, performance, and long-term architecture.
  • Communicate technical decisions clearly - articulating trade-offs, customer impact, and team alignment.
  • Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.
  • Participate in an on-call rotation for our managed services. Troubleshoot and improve system reliability, debugging issues and refining operational tooling and processes.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).
  • 5-7 years experience writing production-grade code in a modern programming language.
  • Proficient programming experience in Go, Java, Python or similar object-oriented languages.
  • Experience operating large-scale, distributed systems on top of cloud infrastructure.
  • Experience shipping services (products) following CI/CD development paradigm.
  • Good grasp of software engineering and how to build a system in scalable and extensive manner;
  • Leverage best-in-class development productivity practices including AI tooling.
  • Excellent communication, problem-solving, and operational excellence skills.
  • Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
  • Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
  • 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.
  • Excellent abilities in high level service design -- modeling interfaces and internals in a properly modular, composable, and extensible way.
  • Experience working in a geographically distributed team.
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