Opportunity overview
What you should know
We checked this opportunity from Twilio. It is listed as India.
The work location is Remote - India. Compensation not stated by employer.
Job description
About this role
As a Senior Engineering Manager 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 guide the team in 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
- - Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment.
- - Champion team growth and success, prioritizing mentorship and individual development.
- - Architect and operate always-available, complex distributed systems in cloud environments.
- - Guide technical decisions, articulating trade-offs between cost, performance, and reliability.
- - Advocate for agile processes, continuous integration, and robust automation.
- - Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects.
Qualifications and requirements
- - 14+ years of engineering experience with a 5+ year proven track record managing software teams.
- - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- - Proven experience managing multiple workstreams within the team.
- - Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms.
- - Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
- - Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).
- - Excellent communication, problem-solving, and operational excellence skills.
- - Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges.
- - Expert programming experience in Go or similar object-oriented languages.
- - 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.
The description, responsibilities and qualifications used for this page and its JobPosting data appear above. Use the application action in the Job snapshot to confirm any later changes before applying.
Why you may be eligible
The source lists India as the eligible location. Confirm that you meet any work-authorization, time-zone and experience requirements.
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How this listing was checked
- Source status
- Applicant-tracking source confirmed
- Employer or source
- Twilio
- Source checked
- November 1, 2026
- Application destination
- Employer or official applicant-tracking website
- Work setup and location
- Remote · Remote - India
- Who can apply
- India · Confirmed by source
- Pay
- Compensation not stated by employer.
- Deadline
- Not stated by employer
We check the source and visible requirements, but the employer controls changes and the final hiring decision. Confirm the latest requirements before applying.