Senior Manager, Software Engineering (Software Solutions)

Posted 17 Hours Ago
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Bengaluru, Karnataka
Hybrid
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Change everything. Starting with your career.
The Role
As a Senior Manager in Software Engineering, you will lead a team focused on developing robust cloud-native solutions while promoting engineering excellence and managing talent. You will guide architecture discussions, collaborate with stakeholders, and drive the adoption of best engineering practices.
Summary Generated by Built In

Voyager (94001), India, Bangalore, Karnataka
Senior Manager, Software Engineering (Software Solutions)
Level : Senior Manager
Title : Senior Manager, Software Engineering
Team : Software Solutions
Type : People Leader
About Capital One
Capital One has been a pioneer through our tech journey as the first large bank to go all in on the public cloud, while operating in a complex and highly regulated business environment. We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale. Our AI/ML capabilities are now at the forefront of what's possible in banking. (e.g., Capital One Eno).
Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple - bring ingenuity, simplicity and humanity to an industry ripe for change.
Our teams have built and battle tested new capabilities to meet those needs. We've open sourced several of the software tools we built (e.g., Cloud Custodian, Hygieia) and forged new partnerships with other digital leaders (e.g., Microsoft, MSFT).
About the team - Software Solutions
Through Capital One's journey to cloud, we've developed a suite of internal solutions uniquely designed to meet the challenges of a digital-first, cloud-first business at scale. We also recognize that many other businesses are facing similar data management needs as they accelerate their cloud and data journeys, and are exploring how best to bring some of the tools to the market.
About the role - Senior Manager, Software Engineering
As a Senior Manager (Software Engineering), you will

  • Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains
  • Be an inspirational leader, with a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs
  • Go deep into our product and engineering solutions with the ability to learn quickly and have a strong engineering and technology background
  • Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes
  • Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions
  • Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle
  • Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives


Basic Qualifications

  • Bachelor's Degree
  • At least 10 years of professional software engineering experience (internship experience does not apply)
  • At Least 4 years of people management experience
  • At Least 2 years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc.
  • At Least 1year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)


Preferred Qualifications

  • Master's Degree
  • 5+ years of experience in at least one of the following: Golang, Java, Python, React (TypeScript), Rust, C++
  • 5+ years of experience Big Data, Data Security, Governance and Controls
  • 5+ years of people management experience
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 3+ years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc.
  • 2+ years of experience in Agile practices


No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Company
HQ: McLean, VA
55,000 Employees
Hybrid Workplace
Year Founded: 1994

What We Do

At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers, small businesses, and commercial clients. And each new idea makes life better for millions of people.

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Capital One Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
Bengaluru, Karnataka
Our India office is in Bangalore. It’s home to teams spanning tech, data science, business analysis, design and other product development teams across Financial Services, Enterprise Risk Management and Machine Learning.

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