# Senior Engineering Manager (L5)

**Company**: Twilio
**Location**: Remote - India
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twilio/jobs/8001804?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_94eb0472-e84

## Description

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'll lead the development of high-scale ingestion and data processing systems, guiding 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:

- 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.

Desired:

- 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.

## Skills

### Required
- distributed systems
- cloud-native architecture
- high-scale ingestion
- AI-centric engineering
- software team management

### Nice to have
- GenAI/LLM solutions
- Go programming
- datastores
- distributed caching
- container technologies
- CI/CD pipelines
- observability tools
- AI/ML technologies
- AWS infrastructure

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/twilio/jobs/8001804?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)