Назад
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6 дней назад

Senior Software Developer (AI)

125 000 - 150 000CAD
Формат работы
remote (только Canada)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Software Developer (AI): Designing and delivering secure, scalable financial intelligence systems spanning data ingestion, analytics, enterprise integrations, and AI-assisted workflows with an accent on distributed systems, data-intensive processing, and production reliability. Focus on building AI agent capabilities, solving complex scalability and security challenges, and improving observability, operational resilience, and explainability.

Location: Remote or hybrid in Canada, with EST working hours; office location in Ottawa, Ontario

Salary: CAD 125,000–150,000 base annually, with potential bonus eligibility

Company

hirify.global develops AI-powered financial risk intelligence software for finance and audit professionals, analyzing high-volume financial transactions.

What you will do

  • Lead technical design and delivery for cross-functional initiatives spanning backend services, data systems, APIs, analytics, AI agent services, and cloud infrastructure.
  • Design and evolve secure, scalable systems for financial data ingestion, analysis, workflow orchestration, enterprise integrations, and AI-assisted insights.
  • Own subsystem-level implementation, code reviews, critical-path development, debugging, production readiness, and incident remediation.
  • Identify technical risks, reliability gaps, performance bottlenecks, and architectural opportunities across multiple engineering teams.
  • Establish and improve standards for API design, data modeling, asynchronous processing, CI/CD, security, testing, and observability.
  • Collaborate with Product, Data Science, UX/Design, Security, Infrastructure, Implementation, and customer-facing teams.

Requirements

  • 5+ years of professional software engineering experience, including enterprise SaaS, data-intensive, or large-scale distributed systems.
  • Experience designing secure, reliable, multi-tenant SaaS systems with strong data isolation, access control, auditability, scalability, and operational supportability.
  • Hands-on experience with ingestion pipelines, ETL/ELT, batch or streaming processing, analytical workflows, data validation, and warehouse or lakehouse integrations.
  • Strong knowledge of API design, service integration, data modeling, performance optimization, asynchronous processing, and distributed systems trade-offs.
  • Working knowledge of production AI/ML systems, prompt orchestration, RAG, or agent workflow patterns.
  • Experience with cloud-native practices, containerized workloads, CI/CD, infrastructure automation, observability, production operations, and Agile collaboration.

Nice to have

  • Experience in fintech, audit, accounting, risk, compliance, or other regulated enterprise environments.
  • Proficiency with Java/Spring Boot, Python, Azure, Azure Data Factory, Microsoft Fabric, or Power BI integrations.
  • Experience with Databricks, Snowflake, lakehouse architectures, Apache Iceberg, or Delta Lake.
  • Experience with Infrastructure as Code, Kubernetes, SRE practices, incident management, React, SDKs, developer tooling, or enterprise integration platforms.

Culture & Benefits

  • Flexible remote and hybrid work arrangements.
  • Comprehensive health benefits and wellness programs.
  • Professional development opportunities and flexible time off.
  • Company-matched retirement plans, competitive compensation, and equity opportunities.
  • Four company-wide digital detox days each year.

Hiring process

  • Employment is contingent on completing and clearing a full background check.
  • Accommodation support is available throughout the interview process.

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