Senior Engineering Manager (L5)

Twilio · Remote - IndiaRemotesenior

In short

▸Liderazgo técnico de sistemas de alta escala para procesar datos en tiempo real.
▸Gestión de equipos, mentoría y toma de decisiones técnicas en entornos cloud y distribuidos.
▸Destacado en el uso de IA para el desarrollo de plataformas y sistemas de datos.

Proficiency in English is required for collaboration with global teams.

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What they ask for

✓14+ años de experiencia en ingeniería con 5+ años gestionando equipos.
✓Grado en Ciencias de la Computación, Ingeniería o campo relacionado.
✓Experiencia comprobada gestionando múltiples líneas de trabajo.
✓Compromiso con mentalidad de ingeniería centrada en IA y mentoría en plataformas con IA.
✓Profundidad técnica en sistemas distribuidos, ingesta a gran escala y arquitectura cloud-native.
✓Experiencia práctica con sistemas de mensajería y motores de procesamiento de alto volumen.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

cloud environmentsdistributed systemshigh-scale ingestiondata processing systemsAI-enabled development platforcontinuous integrationrobust automationcustomer data platform (CDP)streaming systemsprocessing engines

Who should you write to at Twilio?

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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 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. 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: • 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/se

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