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Stytch Logo Stytch · IT - Software Development

Staff Software Engineer (L4)

India · Job Posted June 16, 2026
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Job Description

As a Staff Engineer on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll be designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP).

Job Responsibility

  • 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.

Requirements

  • 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.

Nice to have

  • 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.

What we offer

  • Competitive pay
  • generous time off
  • ample parental and wellness leave
  • healthcare
  • retirement savings program
  • and much more.
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