Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Backend engineer on EvenUp's Cases Product team, owning integration architecture and third-party integrations for legal-tech SaaS that helps personal injury law firms secure better settlements. Hybrid role with 3 days/week in the Toronto or San Francisco hub; core skills span REST API design, SOAP/GraphQL, and SQL.
Senior software engineer on Carta's Investors unit in Toronto, building a programmable back office for private-market funds — ledger, fund financials, tax/compliance, and LP reporting — using Python, Django, React, Postgres, and Kafka (plus Java, gRPC, and AWS), while mentoring peers and leading complex projects.
Staff Software Engineer on Verily's Precision Health Platform team, building modular, interoperable components for storing and processing precision health data. Day-to-day: designing features, weighing technical design options, and developing with Go, Google Cloud, Docker, and Terraform.
Hands-on staff backend engineer building, optimizing, and maintaining the core systems of a high-scale real-time digital marketplace. Most time is spent writing Java/Spring Boot code, debugging production issues, and improving performance, using GraphQL, MySQL, Elasticsearch, and AWS.
Hands-on tech lead at Capital One Canada's Toronto software studio, owning technical design, architecture and development of cloud-native credit products (Credit Keeper, Quick Check) using Java/Python/Go on AWS with microservices, REST APIs and containers. Hybrid role with 3 days per week in the office.
Staff engineer at Ripple in Toronto to scale liquidity businesses: architecting high-throughput, low-latency services that combine software and data engineering with ML-driven decision-making on real-time market data. Requires 8+ years on distributed systems (Java/Python/Go), Docker/Kubernetes, and cloud data platforms.
Staff Android engineer at Versaterm, a public-safety SaaS company in Ottawa, leading architecture, mentoring, and release processes for mobile apps spanning dispatch, law enforcement, and forensics — including drones and body-worn cameras. Core stack: Kotlin, Jetpack Compose/CameraX, Firebase, REST/WebRTC, CI/CD; Canadian Reliability security clearance required.
Full-stack Java developer on Morgan Stanley's CVA Technology team in Montreal, modernizing mission-critical distributed systems for trade capture and market data serving the CVA trading desk. Core work is building scalable, multithreaded services in Core Java/Scala; hybrid role requiring 5+ years' experience and French/English.
Senior full-stack developer (8+ years) in a hybrid Toronto role, building end-to-end applications with Java/Spring Boot (or Python) backends, React frontends, REST microservices, SQL databases, and cloud/CI-CD tooling for a global IT services company. Open only to Canadian citizens or permanent residents.
Hands-on technical lead building a Canadian Tier 1 bank's Rates Derivative Pricing System in Toronto — writing production Java daily while owning architecture, working directly with traders and Quants, and delivering low-latency pricing and eTrading systems using Solace/TREP, SQL, and capital-markets domain knowledge.
Senior Python developer enhancing Ascendion's core banking platform: designing and delivering large features end-to-end in a microservices architecture, tuning distributed systems to SLAs, and mentoring engineers. Core stack includes Python, Docker, MySQL, RabbitMQ, and RESTful APIs.
Analytics Engineer at Tailscale building and maintaining production-grade dbt data models and pipelines (e.g., ARR, revenue recognition) across the full data stack — Snowflake, dbt, Fivetran, Hightouch, Looker — collaborating with Finance, Engineering, and Sales. Remote within Canada; CAD $203,680–$254,600 plus equity and benefits.
Senior Data Engineer at Tailored Brands (Moores) who designs, builds, and optimizes cloud data pipelines and warehousing across Snowflake, BigQuery, AWS/GCP, and enterprise systems, while automating ETL, enforcing data governance/quality, and mentoring junior engineers to support retail analytics and reporting.
Lead Manager of Data Engineering at a data cloud consulting firm in Toronto: you manage a team of data engineers and deliver scalable client data solutions. Core work involves building cloud data pipelines and infrastructure on AWS, GCP, or Azure, with Apache Spark experience.
Senior Data Engineer on TD Securities' Counterparty Credit Risk team (hybrid, Toronto), building large-scale risk computation and analytics data pipelines with Scala, Python, Spark, Databricks, and Akka/Pekko, ensuring data quality, governance, and performance tuning.
Lead Data Engineer at Instacart building and maintaining integration pipelines for financial data, working directly with finance and accounting teams to ensure reliable auditing and reporting. Core stack includes Python, Airflow, Spark, SQL, and cloud data warehousing, plus mentoring other engineers.
Senior data engineer at fintech lender Propel Holdings in Toronto, reporting to the Director of Data Platform. Day to day: designing Snowflake databases for financial applications, writing and troubleshooting advanced SQL, building ELT pipelines, and partnering with Finance and Data teams on data accuracy and governance.
Data engineer (lead) at PureFacts Financial Solutions in Toronto: builds and maintains Snowflake data pipelines, writes DBT transformation rules, integrates data sources, monitors pipeline accuracy, and helps set data governance standards using Python, SQL, and Azure.
Senior Data Engineer at KPI Digital to spearhead the Data & Analytics Group: architect a modern LakeHouse data platform across Azure, AWS, and GCP, build and lead a data engineering team, optimize data pipelines, and support consulting and AI pre-sales engagements. Hybrid role based in Quebec.
Senior data engineer at Data Elephant in Calgary building end-to-end AI applications for oil & gas clients: designing Azure Databricks data pipelines, processing sensor/telemetry data in real time, and deploying ML models for asset management and anomaly detection. Core stack: Python, SQL, Spark.
We couldn't check your fit for this role — add a CV to your profile to see it next time.