Twilio
Staff Software Engineer (L4)
Remote Engineering role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalLead
Work settingRemote
Accepted candidate locations
India
Role overview
Staff Software Engineer (L4)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment.
- Ship features that opt for high availability and throughput with eventual consistency
- Collaborate with engineering and product leads, as well as teams across Twilio Segment
- Support the reliability and security of the platform
- Build and optimize globally available and highly scalable distributed systems
- Be able to act as a team Tech Lead as needed
- Mentor other engineers on the team in technical architecture and design
- Partner with application teams to deliver end to end customer success.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines ( 1M+ events/sec).
- 8+ years of experience writing production-grade code in a modern programming language
- Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems.
- Experience programming in one or more of the following: Go, Java, Scala, or similar languages
- Well-versed in concurrent programming, along with a solid grasp of Linux systems and networking concepts.
- Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink).
- Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
- Leverage best-in-class development productivity practices including AI tooling.
- Experience shipping services (products) following CI/CD development paradigm.
- Deep understanding of architectural patterns of high-scale web applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms)
- Ideally domain expertise in the Modern Data stack with experience in developing cloud-based data solution components and architecture covering data ingestion, data processing and data storage
- Have a track record of successfully leading teams, large projects, or owned and built an important, complex system end to end, delivered iteratively.
- Excellent written and verbal technical communication skills to convey complex technical concepts effectively.
- 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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