Achievers
Staff Software Engineer
Canada · Staff+ · Full-time
Sponsorship not specified$150k-$180kDetected 1 day ago
PythonGoReactDistributed SystemsAlgorithmsCode ReviewMySQLMongoDBGCPCloud PlatformsDockerKubernetesGraphQLAccessibilityProcess ImprovementHRISTest AutomationLeadershipCommunicationMentoring
About the role
- You'll work with modern cloud technologies, distributed systems, APIs, and event-driven architectures while tackling complex scalability and reliability challenges.
- Visit achievers.com to see how we're inspiring recognition everywhere.
- Our Approach to Total Rewards $150,000 - $180,000 reflects what we typically offer as a starting salary.
Responsibilities
- Design, build, and evolve analytics, reporting, and AI-driven data intelligence capabilities that enhance the Achievers platform, architecting high-performance, highly available, and secure solutions that scale to support complex reporting and large-scale analytics workloads across millions of users.
- 🧘♀️ Regular events designed to build connection, belonging, and well-being
- We are happy to make necessary arrangements to support your needs.
- We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes.
Skills
- Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.
Compensation
- $150,000 - $180,000 reflects what we typically offer as a starting salary.
Benefits
- 🩺 Health Benefits and Life Insurance Coverage beginning on your first day
- 👶🏼 Parental Leave Top-up
- 🏖️ Flexible Vacation to recharge, so you can bring your best
- 🤝🏽 Employee and Family Assistance Program offering mental health, legal, and financial counselling
- 🚀 Supported professional development and career growth (Linkedin Learning, mentorship)
Equal opportunity
- equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work.
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This listing is sourced directly from Achievers's careers page and normalized into a canonical job model.