Job
Description
Voyager (94001), India, Bangalore, Karnataka Principal Associate, Software Engineering At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. Capital One has taken a bold journey to build a technology company, while operating in a complex, highly regulated business. 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., Eno). As we uncovered new challenges along the way, we 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). Weve developed a suite of internal solutions uniquely designed to meet the challenges of a digital-first, cloud-first business at scale. Today, the Capital One Software team is exploring how these internal solutions across cloud, data, security, governance, and applications could serve the needs of other companies born or built in the cloud. Capital One Software is a new enterprise B2B software business focused on providing cloud and data management solutions to companies operating in the cloud. This is Capital One s first foray into the enterprise software market and comes after years spent building our own in-house cloud and data management tools that enable us to operate at scale in the cloud. As a Capital One Software Engineer, you ll have the opportunity to be on the forefront of driving a major transformation within Capital One. We re looking for a Principal Associate - Full Stack Software Engineer to join the Capital One Software Incubation Technology team! What You ll Do: Be part of a team to design, architect, and then deliver distributed microservices based robust, cloud native, resilient, and highly scalable solutions in data management and security domains Work to build abstractions on top of back-end Kubernetes based systems so as to remove complexity of moving users of our multi-tenant machine learning platforms across different systems Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities and mentoring other members of the engineering community. Has a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions 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 Collaborate with architects and product managers, and deliver robust cloud-based solutions that drive powerful experiences for our customers Basic Qualifications: Bachelor s Degree At least 4 years of experience in software engineering (Internship experience does not apply) in one or more of the following: GoLang, Java, Python, React, Rust, or C++ At least 2 years of experience with one or more cloud platforms: AWS, GCP, Azure At least 1 year of experience with Big Data, Data Security, Governance and Controls At least 1 year of experience with containerization technologies Preferred Qualifications: Master s Degree At least 5 years of experience in software engineering. At least 3 years of experience specifically in one or more: GoLang, Java, Python, Lua, React, Nginx, Rust, or C++ At least 3 years of experience with AWS, GCP, Azure, or another cloud service At least 2 years of experience with containerization technologies such as Kubernetes At least 1 year of experience in open source frameworks At least 1 year of experience in Big Data, Data Security, Governance and Controls At least 1 year of experience in building front-end development At least 1 year of experience in Agile practice .
