Staff Software Engineer

AlphaSense

. Own the architecture and evolution of a major area of the entity data platform .

Posted 10/7/2026full-timeRemote • CanadaLead💰 CA$164,450 - CA$226,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating large-scale production systems with a focus on data ingestion, entity resolution, and reliability improvements. Proven ability to mentor engineers and establish engineering standards while leveraging AI and deterministic approaches for system design.

Highest-signal resume keywords

Data IngestionEntity ResolutionDistributed SystemsAI-Powered ClassificationSystem Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Architecture PatternsData PipelinesProbabilistic ApproachesDeterministic ApproachesIncident ResponseObservability ImprovementsReliability EnhancementsAutomationTestingTooling

Soft Skills

MentoringTechnical Decision-MakingDocumentation

Tools & Technologies

Cloud-Native ArchitecturesInternal Platforms

Industry Keywords

Vendor ReconciliationProvenanceLineageConfidence-ScoringQuarantine/Resolution Workflows

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Own the architecture and evolution of a major area of the entity data platform
Design systems that ingest and serve large volumes of heterogeneous vendor data at scale with high reliability, freshness, and accuracy
Reduce manual validation overhead through AI-assisted resolution, confidence scoring, provenance, and deterministic matching rules
Establish contracts for correctness and traceability, including source attribution and entity matching/creation rationale
Balance AI-driven and rules-based approaches to improve reliability and explainability
Deliver end-to-end integrations across ingestion, matching, entity generation, and delivery
Respond to production incidents and improve observability and reliability through iterative hardening
Set engineering standards, mentor engineers, and partner with product and downstream consumers on quality bars and success metrics

Requirements

What you’ll need

8+ years building and operating large-scale production systems
Proven experience with data ingestion, entity resolution, matching, or normalization at scale
Deep expertise in one or more of: distributed systems, data pipelines, reference data platforms, platform engineering, or AI-powered classification and validation
Strong code, system design, and architecture pattern skills
Ability to design trustworthy systems combining probabilistic (AI) and deterministic approaches
Delivery excellence, including incident response, observability, and reliability improvements
Effective use of AI, testing, automation, and tooling
Track record of setting standards, driving technical decisions, and elevating peers through documentation and mentoring
Experience evolving or re-platforming live systems with many downstream consumers
Preferred: experience with company or financial reference data, vendor reconciliation, provenance, lineage, confidence-scoring, quarantine/resolution workflows, integrating new data vendors end to end, and cloud-native architectures/internal platforms

Benefits

Comp & perks

Equity may be offered
Generous benefits program
Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws
Equal-opportunity work environment