Staff Software Developer - Data Platform, BE

Coursera; Canada; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A global education platform in Canada seeks a Staff Software Developer for the Data Platform team. In this role, you will design scalable data systems, implement APIs, and enhance the company's data-driven culture. Ideal candidates have over 7 years of backend engineering experience, are comfortable with cloud data services, and thrive in fast-paced environments. Join a forward-thinking team influencing the future of online education.

Qualifications

• 7+ years of experience in backend software engineering, with 3+ years focused on data infrastructure.
• Experience implementing APIs and writing automated tests.
• Comfortable working in a fast-moving team environment with multiple deployments daily.

Responsibilities

• Design and implement scalable Data Platforms, APIs, and Systems.
• Identify opportunities to improve system architecture and performance.
• Debug and fix production issues, leading retrospectives.

Skills

Backend software engineering

API implementation

Cloud data services

Data-driven mindset

Collaboration and mentoring

Tools

AWS

GCP

Java

Python

Scala

Job description

Overview

Staff Software Developer - Data Platform, BE — Canada. Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees, with interviews and onboarding being virtual and employees able to choose their main working arrangement.

Job Overview: As a Staff Software Developer on the Data Platform team, you will join the team’s mission to empower data workers at Coursera and maximize their productivity by providing robust tools, innovative platforms, and a steadfast analytics infrastructure. The team owns a wide range of data-empowering systems, including eventing services, experimentation systems, and offline data lake systems. This is an exciting time to join the team as we are actively developing our new data lake systems, unifying our data development tool stack, and enhancing our eventing as well as experimentation platforms to enable the company’s data driven culture.

You will be a technical leader, scaling and developing our data infrastructure as well as tools that pave the path for data development in our offline data systems. You will tackle complex technical challenges at scale that power millions of learners and drive substantial technical impact across multiple teams within the organization. You will have the opportunity to influence the future roadmap, growth, and success of Coursera's data-driven culture. You will collaborate closely with data engineers, data scientists, machine learning, and product engineers.

Responsibilities:

• Design and implement scalable & robust Data Platforms, APIs, and Systems
• Proactively identify and implement high-leverage opportunities to improve system architecture, scalability, and performance
• Develop and deploy your high-quality code (in Java, Scala, Python, or similar languages) following industry best practices and track key service level indicators (SLIs)
• Debug and fix production issues, lead blameless retrospectives, and participate in the on-call rotation to ensure adherence to the service level agreements (SLAs)
• Collaborate and mentor team members, foster a collaborative and inclusive environment, and proactively pinpoint and advance engineering improvements and practices
• Own large feature areas, identify gaps in system ownership, and drive initiatives to simplify and consolidate system components.

Basic Qualifications:

• 7+ years of experience working in a relevant backend software engineering role, with 3+ years focused on data infrastructure or data systems.
• Experience with implementing APIs and writing automated tests, and proficiency in at least one backend programming language (e.g., Java, Python)
• Demonstrated history working with cloud data services (e.g., AWS, GCP), streaming technologies, and handling large data sets
• Proven experience in defining technical roadmaps for a data system or a software system
• Fervent belief in engineering quality and building technical leverage for others
• Comfortable working in a fast-moving team environment (we deploy many times a day!)
• Data-driven and strongly motivated by success and learnings through experiments and metrics analysis

Preferred Qualifications:

• Experience working with data systems or data lakes. Experience working with eventing services. Experience collaborating with data science and data engineering functions.
• Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence.
• Experience collaborating with cross-functional teams to deliver high-quality products or services.
• Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision.

Apply

If this opportunity interests you, you might like these courses on Coursera. Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.