Senior Software Engineer, Data Pipelines

Lyft · Toronto, Canadasenior

In short

▸Ingeniero de software senior enfocado en pipelines de datos a gran escala.
▸Día a día: construir, operar y automatizar sistemas para mantener datos confiables y disponibles para cientos de servicios.
▸Destacado: trabajas con tecnologías clave como Kafka, Kinesis, DynamoDB y Flink en AWS, impactando a millones de usuarios.

Experiencia en entornos de nube pública (AWS) y habilidades en inglés para colaborar con e

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓5+ años desarrollando software para infraestructura y automatización
✓Experiencia con Golang o Python para código en producción
✓Conocimiento en servicios de streaming y almacenamiento: Kafka, Kinesis, DynamoDB, S3
✓Experiencia operando infraestructura masiva en AWS
✓Habilidades con herramientas de infraestructura como Terraform, Kubernetes, Docker
✓Capacidad para detectar problemas, optimizar rendimiento y planificar mejoras

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

GolangPythonDynamoDBKinesisKafkaSQSS3GraphQLFlinkHive

Who should you write to at Lyft?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: • Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement • Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform • Balance feature development speed and reliability with service-level objectives • Operate and improve our Infrastructure using industry best practices and tools • Participate in design and production readiness reviews, platform management and capacity planning ceremonies with cross-functional teams • Document Infrastructure operations process and insights, identify repeatable actions and ruthlessly automate repetitive tasks • Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events Experience: • 5+ years experience working on teams responsible for software development, automation and systems engineering • Ability to create production ready code in one or more high level languages, such as Golang, Python • Prior experience with data streaming, storage and management, particularly DynamoDB, Kinesis, Kafka, SQS, S3, GraphQL, Flink, Hive • Experience operating large scale infrastructure in public cloud environments, such as AWS • Prior infra experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context) • Experience identifying nascent problems, performance bottlenecks and areas for improvement and developing and executing plans to mitigate them Benefits: • Extended health and dental coverage options, along with life insurance and disability benefits • Mental health benefits • Family building benefits • Child care and pet benefits • Access to a Lyft funded Health Care Savings Account • RRSP plan with company match to help save for your future • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.