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 Platform 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 platform-wide, and mentoring senior engineers. Both levels partner closely with Platform 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 platform 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 operationLead technical design and planning for platform initiatives, authoring and reviewing architecture decision records: at Staff level, own architecture direction across multiple podsContribute 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 changeApply 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 shipUphold engineering quality through rigorous code review, automated testing, and performance monitoring across the platformDebug and resolve complex production issues, including participating in an on‑call rotation to support platform reliabilityMentor and coach engineers, raising the bar for best practices: at Staff level, mentor senior engineers and influence standards platform‑widePartner with Engineering leadership and cross‑functional stakeholders to shape the platform roadmap and drive adoption: at Staff level,



represent Platform Engineering in cross‑pod forums and contribute to hiringAbout 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 ownershipHands‑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 OAuthDeep understanding of distributed systems, microservices architecture, and API designDemonstrated experience building and maintaining automated test suites and driving engineering best practicesHands‑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 generationDiploma/degree nice to have, not requiredPreferred 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 peersProactively identifies risks, technical debt, and system‑level opportunities, and drives them to resolutionCommunicates complex technical concepts clearly to both engineering and non‑engineering stakeholdersActively mentors and coaches other engineers, giving timely, constructive feedbackPod‑native collaborator: transparent updates, tight weekly goals, and surfacing blockers and cross‑pod dependencies earlyBalances hands‑on delivery with cross‑team collaboration, and understands how their work connects to broader platform and company objectivesWhat We Offer
Comprehensive Health Benefits:
We prioritize your well‑being with complete medical, dental, and vision coverageBonus Program:
Be rewarded for your contributions with our performance‑based bonus programEmployee Stock Option Program:
Become an owner and share in our success through our stock option programUnlimited Paid Time Off:
Take the time you need to recharge and maintain a healthy work‑life balanceSpending Accounts:
Manage your healthcare and dependent care expenses with tax‑advantaged spending accountsWellness Days:
Prioritize your mental and physical health with dedicated wellness days throughout the yearGrowth Opportunities:
We invest in your future with abundant opportunities for professional development and advancementMentorship Program:
Benefit from guidance and support from experienced leaders in your fieldFlexible Ways of Working:
Enjoy the freedom to work in a way that suits your life and boosts your productivityAI 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 useContinuously learn and adapt
as new AI tools and capabilities emerge, incorporating them into your ways of workingIdentify opportunities to improve how work gets done
from personal productivity to team‑level workflows by leveraging AI effectivelyOperate with strong data responsibility and security awareness, especially when working with sensitive or regulated informationHow this scales by level:
Individual Contributors:
Use AI to improve personal productivity and quality of outputSenior ICs / Managers:
Integrate AI into team workflows and improve processesLeaders:
Drive AI adoption at the organizational level and shape how work is done across teamsWhat we look for:
Demonstrated experience using AI tools in a practical, responsible wayCuriosity and openness to experimenting with new technologiesAbility to balance efficiency with quality and sound judgmentWe 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 [email protected]‑related Responsibilities
Compliance with Information Security PoliciesCompliance with League’s secure coding practiceResponsibility and accountability for executing League's policies and proceduresNotification of HR, Legal, Compliance & Security of any incidents, breaches or policy violationsCANADA APPLICANTS ONLY:
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 CADWork 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 setting and connections for all Leaguers regardless of location.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
Review our Privacy Policy for information on how League is protecting personal data.
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