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Senior or Staff Software Engineer, Backend at League Inc. · Katori

About League

League is one of the fastest-growing technology companies in Canada and the leading healthcare experience platform. Getting healthcare is often the easy part — finishing it is where things fall apart: people book the appointment and skip the follow-up, fill the prescription and stop taking it, get the referral and never make the call. That gap costs health plans and health systems money, and it costs people their health. League closes that gap — identifying what each person needs to do next, clearing what’s in their way, and getting it done, for the 70 million+ people whose care already runs through our platform. Health plans and health systems trust us to do this at scale. Organizations like Manulife, SCAN, Geisinger, and Medibank on the payer side, and Baptist and Shoppers Drug Mart on the provider side.

Position Summary

As a Senior or Staff Software Engineer, Backend on our Product Engineering team, you bring deep technical expertise to the design and delivery of the foundational services and developer tools that power League’s engineering organization; working inside our pod-based delivery model alongside the teams that build on your services.

You take ownership of complex, ambiguous problems across the platform’s backend systems, from service architecture to production reliability, and set the technical bar through your own work.

At Senior level, that ownership centers on your own services and team. At Staff level, it extends across pods; setting architecture direction, raising engineering standards org-wide, and mentoring senior engineers. Both levels partner closely with Product Engineering leadership, Product, and cross-functional stakeholders to ensure the platform scales with League’s growth

In this role, you will:

Design, build, and maintain scalable, resilient backend services and internal developer tooling using Go, Kubernetes, MongoDB, and Google Cloud Platform (GCP)
Own outcomes end to end; partner with Product, Design, and Engineering to shape solutions, clarify assumptions, make pragmatic trade-offs, and carry work from technical design through production delivery and operation
Lead technical design and planning for platform initiatives, authoring and reviewing architecture decision records: at Staff level, own architecture direction across multiple pods
Contribute beyond your primary backend specialization across services, data, infrastructure, web, and mobile codebases when needed to deliver pod outcomes using AI-assisted development to navigate unfamiliar stacks, while applying strong engineering judgment and remaining accountable for the quality of every change
Apply advanced AI-assisted engineering practices; coding agents, multi-agent workflows, context engineering, MCP and tool integrations, and AI-supported planning, implementation, testing, debugging, and code review — while remaining accountable for understanding, validating, explaining, and operating every change you ship
Uphold engineering quality through rigorous code review, automated testing, and performance monitoring across the platform
Debug and resolve complex production issues, including participating in an on-call rotation to support platform reliability
Mentor and coach engineers, raising the bar for best practices: at Staff level, mentor senior engineers and influence standards platform-wide
Partner with Engineering leadership and cross-functional stakeholders to shape the platform roadmap and drive adoption: at Staff level, represent Product Engineering in cross-pod forums and contribute to hiring

About You:

7+ years (Senior) or 10+ years (Staff) of experience building and operating scalable backend software in production, with a track record of increasing scope and technical ownership
Hands-on expertise with Go for backend services, Kubernetes for container orchestration, and Google Cloud Platform (GCP)
Experience with MongoDB for data persistence, and building or integrating authentication/authorization systems such as OAuth
Deep understanding of distributed systems, microservices architecture, and API design
Demonstrated experience building and maintaining automated test suites and driving engineering best practices
Hands-on use of AI-assisted engineering tools (Cursor, Claude Code, or equivalent) as a genuine daily multiplier. At Staff level, a track record of advanced AI-assisted practices (agents, MCP/tool integrations) and using AI beyond code generation
Diploma/degree nice to have, not required

Preferred candidate attributes:

Operates with a high degree of autonomy, exercising sound technical judgment on ambiguous or open-ended problems with minimal guidance (at Staff level, sets direction across pods, not just your own team)
Sets technical direction and best practices for the team, and is looked to as a go-to technical resource by peers
Proactively identifies risks, technical debt, and system-level opportunities, and drives them to resolution
Communicates complex technical concepts clearly to both engineering and non-engineering stakeholders
Actively mentors and coaches other engineers, giving timely, constructive feedback
Pod-native collaborator: transparent updates, tight weekly goals, and surfacing blockers and cross-pod dependencies early
Balances hands-on delivery with cross-team collaboration, and understands how their work connects to broader platform and company objectives

What We Offer

Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage
Bonus Program: Be rewarded for your contributions with our performance-based bonus program
Employee Stock Option Program: Become an owner and share in our success through our stock option program
Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance
Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts
Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year
Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement
Mentorship Program: Benefit from guidance and support from experienced leaders in your field
Flexible Ways of Working: Enjoy the freedom to work in a way that suits your life and boosts your productivity

The Application Process:

We believe applying for a job should be straightforward and transparent. Here’s what to expect:

Submit Your Application: You’ll receive a confirmation email right away.
Intro sessions: Learn more about our culture, get alignment on your compensation expectation prior to committing to next steps
Take-home assessment
Meet the Engineering Team: Dive into technical discussions and learn how you can make an impact at League.
Final Steps: Meet our cross-functional team and the hiring managers and share experiences on collaboration
Offer and onboarding!

We value your time and effort—our team is committed to providing updates throughout the process.

Security-related Responsibilities

Compliance with Information Security Policies
Compliance with League’s secure coding practice
Responsibility and accountability for executing League's policies and procedures
Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations

CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. The salary range is intentional to account for the performance and career progressions a Leaguer will experience in the role throughout their time at League. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.

Compensation range for Canada applicants only

$150,000—$206,000 CAD

AI Fluency & Ways of Working

At League, we are an AI-native organization. We expect all employees regardless of role or level to thoughtfully leverage AI to improve the quality, speed, and impact of their work.

What this means in practice:

Use AI tools as part of your daily workflow to enhance productivity, problem-solving, and decision-making (e.g., drafting, analysis, coding, research, or process automation)
Apply judgment and accountability when using AI by reviewing outputs for accuracy, bias, and quality before use
Continuously learn and adapt as new AI tools and capabilities emerge, incorporating them into your ways of working
Identify opportunities to improve how work gets done from personal productivity to team-level workflows by leveraging AI effectively
Operate with strong data responsibility and security awareness, especially when working with sensitive or regulated information

How this scales by level:

Individual Contributors: Use AI to improve personal productivity and quality of output
Senior ICs / Managers: Integrate AI into team workflows and improve processes
Leaders: Drive AI adoption at the organizational level and shape how work is done across teams

What we look for:

Demonstrated experience using AI tools in a practical, responsible way
Curiosity and openness to experimenting with new technologies
Ability to balance efficiency with quality and sound judgment

Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

Our Application Process:

Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps

You should receive a confirmation email after submitting your application.
A recruiter (not a computer) reviews all applications at League.
If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
The final step is an offer, which we hope you will accept!
Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.

Here are some additional resources to learn more about League:

Work Location:

We have a mix of office-centric roles based in our vibrant Toronto office, and remote-eligible roles based anywhere in Canada or US. Each job posting will indicate where the role will be based. Regardless of the role’s posted location, all Toronto-area Leaguers (living within 65 km of our downtown HQ) collaborate in-office Monday through Thursday. Depending on your distance to the office, you’ll enjoy 10 or 20 Flexible Remote Days each quarter for focus and deep-work time. We are committed to fostering a meaningful work environment and connections for all Leaguers regardless of location.

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Use of AI Notice
We are committed to ensuring fairness and transparency throughout our hiring process. League may use Artificial Intelligence (AI) tools to assist in the screening of applicants for this position. Please check out our stance on using AI in recruitment here.

Privacy Policy

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Senior or Staff Software Engineer, Backend

Senior or Staff Software Engineer, Backend

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