Design and build features for aging parents, ship end-to-end across the stack, and define AI-native engineering practices.
Locations (2)
United States
Canada
Compensation
For candidates based in the US, the salary range for this position is $103,500 to $192,000 USD. For candidates based out of Canada, the salary range for this position is 149,500 to 177,500 CAD.
Responsibilities
Ship end-to-end across the stack — from backend services and APIs through to the iOS and Android surfaces members use
Work with AI (Claude Code) as a first-class collaborator — orchestrate agents to create specs, generate code, and perform reviews
Define and codify AI-Native engineering practices for the Verticals team, establishing playbooks the broader org can adopt
Collaborate closely with product managers and designers to turn complex user problems into scalable engineering solutions
Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement
We are seeking a highly motivated and skilled Quality Assurance Automated Tester to join our team. The successful candidate will be responsible for designing, developing, and maintaining automated test scripts using Selenium to ensure the quality, reliability, and performance of our software applications.
Compensation
Primary Location Full Time Salary Range:
$94,300.00 - $141,500.00
Responsibilities
Collaborate with development, product, and QA teams to understand project requirements and define comprehensive test strategies.
Design, develop, and maintain robust, scalable, and reusable automated test scripts using Selenium WebDriver in Java.
Design, write, and execute detailed, comprehensive, and well-structured manual test plans and test cases.
Perform thorough manual functional, integration, system, and regression testing.
Conduct exploratory testing to uncover defects and usability issues not covered by formal test cases.
The Finance Systems Support Analyst supports the tools, processes, and templates used in creating and maintaining financial information in ATB’s Financial systems, owning daily system monitoring, system integrity checks, and regular system reconciliations.
Responsibilities
Owns daily system monitoring and routine health checks to maintain optimal operational health and performance and identify potential issues.
Using data analytics techniques, investigates and supports the resolution of system issues.
Leads and takes ownership of system integrity checks to identify, troubleshoot, and prevent data discrepancies.
Owns and executes regular system reconciliations to ensure data accuracy and compliance across financial platforms.
Designs and maintains standardized tools and templates that support the creation and management of Financial information.
Requirements
Post secondary degree in a related field (ex. Business, Computer Science, Information Technology etc.)
Nice to have: Business or Systems Analysis certification
Lead the design, development, and deployment of advanced NLP and AI models to enhance surveillance and compliance monitoring within the Non-Financial Risk division.
Responsibilities
Design high-performance systems leveraging LLMs, RAG, agentic AI, and knowledge graph analytics
Create GenAI-based solutions to automate manual tasks and drive cost efficiency
Conduct research to identify novel methods for enhancing analytical solutions
Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities
Champion innovative approaches to improve detection of suspicious activity
Requirements
Master's or PhD in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, or Machine Learning
As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. This is a director equivalent role that does not have direct reports. We require advanced hands-on development, technical design, and architecture experiences.
Responsibilities
Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Requirements
Bachelor's or Master's Degree in Computer Science or a related field
Site Reliability Engineer to help shape the future of intelligent operations by leveraging AIOps, GenAI, automation, and self-healing technologies across enterprise platforms.
Compensation
CAD $ 87,780.00-$122,892.00 /year
Responsibilities
Implement SRE best practices across production support, incident management, problem management, change management, release, and deployment processes
Build and maintain automation scripts, runbooks, self-healing workflows, and operational tools to reduce manual effort and improve MTTR
Support AI-driven operational capabilities such as incident summarization, alert enrichment, anomaly detection, log analysis, event correlation, and root cause recommendations
Configure and enhance observability across logs, metrics, traces, dashboards, alerts, and synthetic monitoring
Work with monitoring/APM tools such as Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor, or similar tools
Requirements
Nice to have: Agentic AI
Nice to have: AI agents
Nice to have: Gen AI-based automation for IT operations
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