Senior Software Engineer

About the role

We're seeking a Senior Software Engineer (L3) to join our team and help support and grow Point's multi-product digital platform. In this role, you'll work closely with senior engineers and product partners on the Docket Operations pillar, contributing to features and systems that enable our Docket Operations team to deliver faster, smarter, and efficient solutions. Specifically, you'll be joining our Rapid Response team, where we automate manual operational workflows and tackle the highest-impact problems facing the business, turning repetitive manual effort into reliable systems.

You'll gain hands-on experience building and maintaining services across multiple systems, supporting integrations across internal tools, and learning how emerging technologies—such as AI-assisted workflows—are applied in real-world production environments. This role is ideal for a career engineer who is eager to learn, comfortable working in a fast-paced environment, and excited to grow their technical and product skills through collaboration and mentorship.

Check out our latest Engineering Blog to learn more about why it's a great time to join Point's Engineering team!

Your responsibilities

• Implement features and services including design and document significant projects that involve collaborations among multiple classes and updates to database schemas, applying design patterns appropriately.
• Write, test, and maintain high-quality code across one or more codebases (e.g., TypeScript, Python, Ruby).
• Craft thoughtful PRs, even for complex changes, and guide reviewers to address the most important areas of feedback. You consistently provide thoughtful, detailed reviews of other's code.
• Document medium-sized technical designs (multiple collaborating classes, database schema changes), prepare and lead technical design reviews with coaching from more senior technical leads.
• Participate in sprint planning, grooming, and retrospectives to understand business context and priorities.
• Respond to code reviews and feedback, continuously improving code quality and reliability.
• Use AI- and data-powered components are used in production systems while following responsible data and privacy guidelines.
• Take ownership of assigned tasks or features, communicating progress and blockers clearly.
• You are growing in your skills as a mentor and coach. You are able to help new team members onboard and provide guidance for junior engineers.

About you

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional experience in software development (excluding internships) with a focus on back-end or full-stack development.
• Strong proficiency in one or more backend languages (e.g., Ruby, Python).
• Deep understanding of distributed systems, caching, and database optimization.
• Experience building user interfaces using modern frontend technologies such as TypeScript, JavaScript, HTML, CSS, and component-based frameworks (e.g., React).
• Strong understanding of responsive design, accessibility, and user experience fundamentals.
• Familiarity with full-stack development and collaborating closely with backend services.
• Experience consuming APIs and integrating frontend applications with backend services.
• Ability to communicate clearly with teammates and ask questions to clarify product or design requirements.
• Comfortable working in a fast-paced environment, balancing quality and speed while learning under guidance.
• Collaborative team player who values feedback, mentorship, and continuous improvement.

Nice to have

• Demonstrated use of AI tools to accelerate delivery is a huge differentiator.
• Exposure to design systems or shared component libraries.
• Experience with frontend performance optimization and debugging.

Compensation at Point will be determined by skills, experience, and geographic location.

• CAD 153,845 - 170,039

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.