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Jobs(30,434)/Backend Engineer Role(658)/Varicent (25) - Staff Backend Developer
Varicent

Varicent - Staff Backend Developer

Toronto, Ontario, Canada - Hybrid$145k - $191k1w ago
In OfficeStaffNACloud ComputingArtificial IntelligenceBackend EngineerStaff DevelopmentPythonTypeScriptGCPAWSAzure

Requirements

• Overall: 6+ years in software engineering• Relevant: 3+ years building and shipping production systems in product teams• Technical (hands-on coding): 5+ years • Strong software engineering fundamentals and advanced system design experience• Hands-on coding in Python and/or TypeScript (or similar), building APIs, services, and data pipelines• Experience designing and scaling distributed systems in production environments• Strong experience with cloud platforms (AWS, GCP, or Azure), CI/CD, automated testing, and observability• Proven ability to own systems end-to-end, from design through production and iteration• Experience working in fast-paced, ambiguous environments with evolving requirements• Strong experimentation mindset: define metrics, build evaluation approaches, and iterate quickly • Experience building data-driven or ML-enabled systems• Familiarity with experimentation frameworks, A/B testing, or performance optimization• Experience with event-driven architectures, streaming systems, or large-scale data processing• Exposure to modern AI tools or integrations (not required)• Contributions to open source, technical blogs, or conference talks • Education • Bachelor’s in Computer Science, Engineering, or related field (or equivalent practical experience) • For this role, the estimated annual base salary range is between $145,440.00 - $190,800.00 (CAD). In addition to base salary, our compensation package may include bonuses, commissions for eligible sales roles, and a comprehensive benefits package. The actual base salary will vary based on factors including individual qualifications and market data, as objectively assessed during the interview process. • This posting is for a new vacancy. • This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement — not replace — human decision-making.

Responsibilities

• Own delivery for significant features or systems: clarify requirements, design solutions, execute, ship, and iterate.• Design and build scalable backend services, APIs, and data pipelines that support core product functionality.• Drive system design decisions, balancing scalability, performance, reliability, and cost.• Define how quality is measured for your area (success metrics, testing strategy, observability) and automate it wherever possible.• Lead structured experimentation: define hypotheses, evaluate results, and translate insights into product and system improvements.• Improve operational readiness: deployment automation, monitoring/alerting, incident response, and performance optimization.• Mentor engineers through design reviews, code reviews, and hands-on technical guidance.• Influence engineering best practices, architecture decisions, and long-term technical direction. • Engineering Expectations • Strong system design skills with the ability to break down ambiguous problems into scalable technical solutions.• Ability to evaluate new technologies, tools, and approaches, and recommend solutions based on trade-offs, impact, and ROI.• Builds systems that are secure, reliable, and compliant by design, partnering with cross-functional teams when needed.• Drives technical alignment across teams and contributes to improving engineering standards and processes. • How we work • We balance exploration with delivery — test ideas quickly, then productionize what works.• “Done” means quality goals are met, followed by continuous improvement in scalability, performance, and reliability.• The team owns systems end-to-end (build, release, reliability).

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