PointClickCare is a leading North American healthcare technology platform enabling meaningful care collaboration and realtime patient insights. For over 20 years the company has been focused on realizing its vision: to help create a world in which providers and plans can confidently deliver frictionless care. Since its inception PointClickCare has grown exponentially with over 2200 employees working to impact millions across North America. Recognized by Forbes as one of the top 100 private cloud companies and acknowledged by Waterstone Human Capital as Canadas Most Admired Corporate Cultures PointClickCare leads the way in creating cloudbased healthcare software.
At PointClickCare we offer a wealth of opportunities and a vibrant culture that empowers our employees. Our dynamic environment is the perfect place to advance your career while engaging in meaningful work alongside incredible colleagues. Here youll discover a space where your talents can thrive your career can grow and your work will have a lasting impact on healthcare across North America. We believe that work becomes profoundly fulfilling when driven by a higher purpose.
Join us and be part of a team that is making a real impact.
Position Summary
As a Senior Software Engineer at PointClickCare you will be part of a focused team with the ability to have a significant impact on the performance scalability and reliability of our Data Platform.
Youll collaborate closely with crossfunctional teams to identify bottlenecks analyze system behavior and propose performance enhancements. In addition your contribution to a performance engineering culture ensuring engineers are building in performance during the design phase is key to success. This role provides an opportunity to work with cutting edge cloud technologies as PointClickCare continues to expand its use of public cloud. If you thrive in a fastpaced environment and have a passion for optimizing software systems wed love to hear from you!
Key Responsibilities:
Contribute to quality products: The engineer will work on performance stability scalability and reliability of the Data Platform.
Drive performance initiatives: The engineer will design develop and implement performance enhancements for the Data Platform.
Develop performance test suite: The engineer will plan scope schedule and execute performance testing initiatives for the Data Platform.
Consult with development SMEs: The engineer will collaborate with development subject matter experts to define performance metrics and goals.
Advise on scalability and performance strategies: The engineer will provide guidance and recommendations to engineering teams on how to optimize system performance and scalability.
Communicate performance insights: The engineer will present and explain performance findings solutions and best practices to peers and crossfunctional groups.
Develop performance tools and infrastructure: The engineer will assist in maintaining and provisioning performance test environments and creating automated performance solutions.
What qualifications were looking for:
Experience with distributed computing tools like Apache Hudi Trino Map Reduce and other big data technologies.
Experience with distributed storage systems like HDFS S3 etc.
Familiarity with Hadoop Spark or other distributed computing systems.
Understanding of data partitioning and sharding techniques.
Knowledge of distributed computing principles and how they apply to largescale data processing.
Experience writing clean code that performs well at scale using languages such as Java/Kotlin/C#/Go.
Experience in scripting languages such as Python.
Knowledge of relational databases (e.g. Microsoft SQL Server MySQL).
Solid experience writing RESTful API endpoints.
Absolutely love TDD and have working knowledge of it.
Proficient in GIT.
Experience using system and performance monitoring tools (e.g. New Relic DataDog).
Excellent organization criticalthinking and personal leadership skills
Selfstarter with the ability to deliver with minimal supervision.
Being okay with the uncomfortable feeling that comes from learning new things.
Team player.
Analytical mind with problemsolving aptitude.
Proven experience as a great Engineer.
Degree in Mathematics or Computer science or related experience
Recent handson experience in Performance Engineering and/or Software Engineering.
Experience tackling performance problems related to data.
Bonus Points for:
Exposure to data lakehouse technologies like Azure Data Lake Hive Trino etc
Experience with Spring Boot Cloud infrastructure development.
Experience with Jenkins CI/CD pipeline.
Experience working on a SaaS product.
Knowledge of scripting languages such as Python Bash or Groovy.
Experience in JMeter LoadRunner.
Understand systems environments like shared resources components and services CPU memory storage network etc.
Has mentored others in a professional setting.
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