Staff, Software Engineer (L4)

Contract type
Ongoing
Work mode
Remote · India
Experience
Senior · 8+ years

Job description

Staff Engineer (L4) on Twilio's Segment Data Pipelines team, building and scaling high-throughput data ingestion and processing systems for the customer data platform. The role involves designing and operating complex distributed systems and acting as a technical lead and mentor.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote · India

What you'll do

  • 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

What we're looking for

  • 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)

Nice to have

  • 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
  • Comfortable asking questions and taking initiative to solve problems where it is often necessary to "draw the owl"

Your team

Segment, Data Pipelines team

Team building and scaling systems that process several hundred thousands of data points per second for Twilio Segment's customer data platform.

Benefits

  • Competitive pay
  • Generous time off
  • Ample parental and wellness leave
  • Healthcare
  • A retirement savings program
  • And much more (offerings vary by location)

Apply

Direct apply at Twilio

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About Twilio

Shaping the future of communications

Twilio is a remote-first company delivering communications solutions and empowering developers to craft personalized customer experiences.

Mission

Deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Key facts

  • Communications technology
  • Remote-first company
  • Delivers solutions to hundreds of thousands of businesses
  • Empowers millions of developers worldwide
  • May ask employees to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings
  • Uses AI to help make its hiring process efficient, with every hiring decision made by real Twilions

What they value

  • Twilio Magic