Staff, Software Engineer (L4)
Twilio
Remote - IndiaremotePosted 2 days ago
Skill Required
EngineeringSoftware EngineerSoftware DeveloperSystem DesignDockertroubleshootingrelated fieldMicroservicesR ProgrammingKubernetesHibernateRedisDynamoDBbuildingdesignGitKafkaMySQLAgileCloudJavaJiraAPIsAWSIAMandAI
Key highlights
- Competitive pay
- 8+ years of professional software engineering experience required
- Remote role based in India (Karnataka, Tamil Nadu, Maharashtra, Telangana, Delhi)
- Opportunity to lead high‑scale ingestion and data processing systems
- Generous time off, parental and wellness leave, healthcare, and retirement savings program
- Use of AI tooling in development productivity practices
Role overview
As a Staff Engineer on the Twilio Segment Data platform/pipelines team, you will build and scale systems that process several hundred thousand data points per second, leading the development of high‑scale ingestion and data processing systems, designing, operating, and maintaining complex distributed systems that ensure reliability, performance, and cost‑efficiency while querying petabytes of data for our customer data platform (CDP).
Responsibilities
- Lead the development of high‑scale ingestion and data processing systems.
- 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.
- Design, operate, and maintain complex distributed systems, ensuring reliability, performance, and cost‑efficiency while querying petabytes of data for the CDP.
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.
- Remote, based in India (only in Karnataka, Tamil Nadu, Maharashtra, Telangana, Delhi).
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.
Benefits
- Competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and additional benefits that vary by location.
- Support for volunteering and donation efforts.
Additional details
- 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.
- 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!
- 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), Twilio’s Segment team.
- Travel: You may be required to travel occasionally to participate in project or team in‑person meetings.
- Twilio thinks big: We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. We empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
- Stay alert to recruitment fraud: We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text‑based messaging apps.
- Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E‑Verify program in certain locations, as required by law.