161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,
Staff Software Engineer - Capital One Travel Tech - Backend
About the Team
At Capital One, we are entirely disrupting the travel and expense (T&E) industry by bringing our tech fully in-house and building the next generation of our travel ecosystem. With Capital One Business Travel (COBT) scaling rapidly, our integration with Brex is the catalyst propelling us from serving small businesses to powering enterprise giants. As a Senior Engineer, you will be at the epicenter of this game-changing integration, architecting seamless connections across Brex, expense systems, and COBT to win the top of the market. Whether you are advancing our multi-billion-dollar platform, owning full booking journeys, or implementing cutting-edge Applied AI, your code will directly impact millions. Come solve complex, high-volume engineering challenges and redefine the future of corporate travel.
Your Responsibilities:
Work as part of a dynamic team throughout the Software Development Life Cycle
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Continuously improve software engineering developer experience; identify gaps in existing internal framework and tools and contribute
Establish Engineering best practices; identify and establish best practices and standards, such as code review standards.
Technical expertises and Problem solving; define technical standards and providing technical support to ensure Engineering best practices are consistently met
Architecture ownership - apply strong understanding of how evolving technology affects domain, follow High Level Design (HLD) methodology and contribute to HLD
Provide mentorship to junior and intermediate associates through engineering best practises and standards
Basic Qualifications:
At least 6 years of hands-on development experience preferably using Java, Python, Go or other object-oriented programming languages
At least 6 years of experience with application and/or data design, architecture and development
Experience with AWS (highly preferred) or other cloud products (Microsoft Azure, Google Cloud)
Experience providing mentorship to Junior/Intermediate Associates and guidance to technical and business stakeholders
Preferred Qualifications:
8+ Years of experience leading the full life-cycle of Software Development
Bachelor's, Master’s or Diploma in Computer Science, Software Engineering, Information Technology or in related field
Experience working in an agile environment and familiar with agile development methodologies
Working at Capital One.
Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.
Live well—physically, financially and emotionally. Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year—and much more—you’ll discover that Capital One is committed to helping you live your best life.
This posting is for an existing vacancy.
The expected annual salary range for this position is $157,400 - $179,600. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non discretionary depending on the plan.
We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.
We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.