Job Search and Career Advice Platform

Enable job alerts via email!

Staff Software Engineer

AlphaSense

Remote

CAD 150,000 - 197,000

Full time

2 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading market intelligence firm in Canada is seeking an experienced individual to own the architecture of a large-scale data extraction platform. The role involves designing high-reliability systems and mentoring engineers. Candidates should possess over 10 years of experience in building large-scale production systems, expertise in distributed systems and AI technologies is crucial. The firm emphasizes an inclusive work environment and offers competitive salary packages.

Benefits

Salary up to $197,000 CAD
Opportunity for equity
Generous benefits program

Qualifications

  • 10+ years of experience building and operating large-scale production systems.
  • Proven experience designing data ingestion, extraction, or processing systems at scale.
  • Deep expertise in distributed systems, data platforms, and AI/ML-powered extraction.

Responsibilities

  • Own the architecture and evolution of the large-scale data extraction platform.
  • Design systems that process hundreds of thousands of records with high reliability.
  • Define strategies to minimize human validation through AI-based validation.

Skills

Building large-scale production systems
Designing data ingestion systems
Distributed systems expertise
System reliability understanding
Technical leadership
Job description
Overview

Employer Industry: Market Intelligence and AI Solutions

Why consider this job opportunity
  • Salary up to $197,000 CAD
  • Opportunity for equity and a generous benefits program
  • Dynamic work environment that fosters innovation and collaboration
  • Commitment to creating an inclusive workplace where all employees feel valued
  • Chance to work on cutting-edge technology shaping the future of AI and search
  • Potential for mentorship and raising technical standards within the organization
What to Expect (Job Responsibilities)
  • Own the architecture and evolution of the large-scale data extraction and normalization platform
  • Design systems that process hundreds of thousands of records across heterogeneous sources with high reliability
  • Define and implement strategies to minimize human-in-the-loop validation through AI-based validation and confidence scoring
  • Establish clear system contracts for correctness, traceability, and confidence
  • Mentor senior engineers and contribute to long-term technical strategy while remaining hands-on with critical implementations
What is Required (Qualifications)
  • 10+ years of experience building and operating large-scale production systems
  • Proven experience designing data ingestion, extraction, or processing systems at scale
  • Deep expertise in distributed systems, data platforms, and AI/ML-powered extraction
  • Strong understanding of system reliability, observability, and failure modes
  • Track record of technical leadership across teams without formal people management
How to Stand Out (Preferred Qualifications)
  • Experience with document understanding, NLP, or financial data extraction
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams
  • Experience building provenance, lineage, or confidence-scoring systems

#MarketIntelligence #AI #DataEngineering #CareerOpportunity #InclusiveWorkplace

"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately."

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.