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Lyft

Senior Software Engineer, Data Pipelines

Lyft is hiring a Senior Software Engineer, Data Pipelines in Toronto, Canada. It pays $136k a year and Level rates it ; you can apply on Lyft.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Envoy, infrastructure and automation among its tools and skills.
  • Level classes it as a senior role.
  • Lyft has 175 other open roles on Level.

AI in this role

Senior infrastructure engineer responsible for maintaining and scaling critical data pipelines and production systems.

envoy
infrastructureautomationdistributed-systemsdata-pipelinessite-reliability

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 get 15 days paid time off, with an additional day for each year of service
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

How we rate this

Senior Software Engineer, Data Pipelines at Lyft rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

InfrastructureAutomationDistributed SystemsData PipelinesSite ReliabilityEnvoy

Also common in software engineer jobs at this level

Pay

This job starts at
$136k
Typical software engineer job
$168k

This posting starts 19% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where infrastructure was part of your work. What did you do?
  2. Tell me about a project where automation was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where data pipelines was part of your work. What did you do?
  5. Tell me about a project where site reliability was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Infrastructure, Automation, Distributed Systems, Data Pipelines, and Site Reliability. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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