Software Engineer, Observability

Socotra, Inc.; Toronto; On-site; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Extended health & dental

Mental health benefits

Family planning support

Child care benefits

Health Savings Account

RRSP match

Flexible PTO

Paid parental leave

Commuter benefits

Job summary

Lyft in Toronto is seeking an Infrastructure Engineer to own logging, metrics, and observability tooling. You will help scale and improve reliability and performance of cloud platforms while collaborating with cross-functional teams to implement SLOs and monitoring strategies.

The role requires 3+ years in software development, automation, and systems engineering, with production-ready Go or Python, Kubernetes, Prometheus, Grafana, Loki, and AWS experience.

Qualifications

• Bachelor's Degree or equivalent in Computer Science or a related discipline.
• 3+ years on teams responsible for software development, automation, and systems engineering.
• Proficiency in production-ready Go or Python code.
• Experience operating infrastructure in public cloud environments (AWS).
• Experience building observability infrastructure for robust monitoring and analysis.
• Familiarity with Kubernetes and multi-cluster production environments.
• Proven track record with Prometheus, Grafana, Loki, and open-source tracing/alerting.

Responsibilities

• Maintain, improve, and develop tooling and systems to enhance reliability, scalability, and efficiency of the platform.
• Assist teams in defining SLOs and provide tooling to monitor and balance feature speed with reliability.
• Analyze metrics from OS, control planes, and apps to aid fault detection and performance.
• Collaborate with cross-functional teams to improve Lyft observability and meet developers' needs across design, production readiness, and capacity planning.
• Keep and maintain documentation for infrastructure operations and insights.
• Identify repeatable actions and automate repetitive tasks.
• Participate in on-call rotations and respond to incidents to mitigate customer-impacting events.

Skills

Go

Python

Kubernetes

Prometheus

Grafana

Loki

Observability

AWS

SLOs

Education

Bachelor's Degree

Tools

Docker

Terraform

CI/CD pipelines

Job description

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 an Observability team member, you are responsible for the operation and maintenance of our logging and metrics infrastructure. You ensure all teams at Lyft are aware of the operational health of their products by monitoring system availability and take a holistic view of our platform performance. You build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you find opportunities to improve our systems in order to push our platform forward. You provide our partners with the support they need to help them build robust large scale distributed systems.

We count on the reliability of our infrastructure to empower Lyft teams to provide our customers rich experiences that are highly available with rock solid performance to ensure our transportation platform continues to connect people and places. As we grow our team, we are seeking experienced Infrastructure Engineer to ensure that as our Infrastructure continues to scale, our platform continues to provide an essential and dependable service that transports millions of people every day. Specifically we are searching for someone who brings fresh perspectives, enjoys collaborating with cross-functional teams in order to continually improve our products and services for our customers.

Responsibilities:

• Maintain, improve, and develop tooling and systems that enhance the reliability, scalability, and efficiency of our platform.
• Assist engineering teams in defining service-level objectives (SLOs) and provide the necessary tooling to monitor and balance feature development speed and reliability.
• Maintain and analyze metrics from operating systems, control planes, and applications to assist in fault detection and performance enhancement.
• Collaborate with cross-functional engineering teams to enhance Lyft's observability and meet developers' needs, ensuring alignment with design and production readiness reviews, platform management, and capacity planning.
• Keep and maintain our documentation at a world-class level by documenting infrastructure operations processes and insights.
• Identifying repeatable actions, and automating repetitive tasks.
• Participate in our team's on-call rotations, respond to incidents, and support other teams to mitigate customer-impacting events.

Experience:

• 3+ years of experience working on teams responsible for software development, automation, and systems engineering.
• Bachelor's Degree or equivalent experience in Computer Science or a relevant discipline.
• Proficiency in creating production-ready code in one or more high-level languages, such as Go or Python.
• Experience operating infrastructure in public cloud environments, such as AWS, including familiarity with Managed Services.
• Experience in building and maintaining observability infrastructure to support robust monitoring and analysis.
• Familiarity with Kubernetes and managing multi-cluster environments in production settings.
• Proven track record with modern Observability stack, including proficiency in Prometheus, Grafana, Loki, and other open-source tracing and alerting frameworks.

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.

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 $108,000 - CAD $135,000, 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.