Lead mobile architecture, design, and development for Capital One’s iOS and Android platforms, driving performance, accessibility, and AI‑enabled features across a large customer base.
Locations (2)
McLean, Virginia, United States
New York, New York, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Mobile Engineer 4
New York, NY: $215,200 - $245,600 for Mobile Engineer 4
Responsibilities
Partner with software engineers, designers, and product managers to deliver high‑performing, quality features for 100M+ customers
Provide technical leadership for mobile architecture and design patterns
Mentor other engineers and foster growth through code reviews and feedback
Contribute to mobile architecture decisions, API design reviews, and reusable component development
Lead the design and development of client Backend‑for‑Frontends (BFFs) and Server‑Driven UI (SDUI) architectures
Requirements
Bachelor's Degree in Computer Science or related quantitative field
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Compensation
Base salary range: CAD $90,000 to $180,000, with the final offer based on skills and experience.
Responsibilities
Identify operational bottlenecks
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Pull and read data (SQL, dashboards) to inform fixes
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Responsibilities
Develop and operate the shared AI platform on AWS Bedrock and AgentCore
Maintain a shared model gateway with access controls, approved model configurations, usage monitoring and cost controls
Implement security, privacy and responsible AI controls, including agent identities, delegated authorization and auditable access
Build secure MCP integrations and RAG pipelines connecting agents to internal data and APIs
Use infrastructure as code and CI/CD to deploy, configure and maintain AI platform services consistently
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Responsibilities
Build highly interactive applications that can scale with application complexity
Apply AI technology and innovation to improve product functionality
Write high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (code reviews, unit testing, etc.)
Collaborate with product owners to understand requirements and own the code from design to delivery
Design software that is simple to use, allowing customers to extend and customize functionality to meet their specific needs
Requirements
Bachelor's in Computer Science or a related discipline
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Responsibilities
Lead domain‑driven design and modelling
Define target architecture and maintain consistency across deployments
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Responsibilities
Own new opportunities from a client's first conversation to a signed statement of work
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Build quick demos or prototypes, often with AI coding tools
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Responsibilities
Solve dynamic user problems around new and returning user journeys
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Make every notification count with better targeting and frequency caps
Iteratively improve a legacy codebase while maintaining long-term maintainability
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