Jobs / India / Twilio INC

Twilio INC

Staff, Software Engineer (L4)

Remote - India · Remote · India only Posted today

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Skills this job asks for

Data engineeringCustomer successJavaScalaLinuxNetworkingAWSGoogle CloudKafkaSparkKubernetesCI/CD

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Where you can work from

India only

Based on the listing's location: Remote - India.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereNo government sponsor record covers this employer in this country.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
  • Confirmed live todayWhen a source last listed this job as open.
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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

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About the role

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff engineer (L4) on Twilio’s Segment, Data Pipelines team. About the job 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). Responsibilities In this role, you’ll: • 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. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • 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

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