Twilio
Staff Software Engineer
Vaga remota de Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Irlanda
Resumo da vaga
Staff Software Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Be an owner: Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
- Wear the customer's shoes: Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
- Write it down: Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
- Be bold: Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
- Draw the owl: Figure out novel ways of solving customer problems for the Voice channel
- Minimum 8 years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
- Bachelor's degree in Computer Science or a related engineering field
- Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
- Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
- Hands-on experience designing and driving the optimization of CI/CD pipelines
- Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
- Hands-on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
- Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
- Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
- Hands-on Java experience with strong fundamentals, able to architect, review, and debug code whether it's yours, a teammate's, or an AI agent's
- Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples
- Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
- Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems
- Strong team collaborator who is both highly motivated and a motivating influence on peers
- Demonstrated technical leadership by driving architectural decisions, leading cross-functional technical initiatives, and actively mentoring team members
- Can demonstrate how you effectively use AI to deliver value efficiently
- Knowledge and experience working with SIP protocol
- Knowledge and experience working with Stir/Shaken protocol
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