Senior Engineering Manager (L5)
Lead the Twilio Segment team as a Senior Engineering Manager, building high-scale data processing systems in a remote-first environment.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 14 hours ago
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms.
Requirements
- Experience
- 14+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Engineering Manager at Twilio, the individual will oversee the development and scaling of high-performance data processing systems, ensuring they handle vast amounts of data efficiently. Key skills include expertise in distributed systems, cloud-native architecture, and experience with high-scale messaging systems, alongside a strong background in team management and mentorship. This position is ideal for seasoned professionals with over 14 years of engineering experience, particularly those who thrive in a collaborative, remote-first environment.
Joblaze insights
Quick facts
- Is the Senior Engineering Manager (L5) role remote?
- Yes — Twilio lists this as a fully remote position.
- How much experience is required?
- At least 14 years of relevant experience for this Senior Engineering Manager (L5) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, AWS, Docker, Go, Kubernetes.
- What seniority level is this role?
- Twilio targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Engineering Manager (L5) role at Twilio.
From the original posting
Who we are
See yourself at Twilio
Join the team as our next Senior Engineering Manager , Twilio’s Segment team.
About the job
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
In this role, you’ll:
- 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.
*Required:
- 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.
Location
This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi).
Twilio thinks big. Do you?
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.Standard company text repeated across Twilio's postings is omitted here.