דרושים Director - Machine Learning Engineering ב-Capital One ב-India, Bengaluru

Our Senior Directors Are:

• Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - will have a DevOps mindset

• Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff

• Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions

• Curious: Hands-on, "roll up your sleeves" collaborative style of working

• Passionate: Bring energy and enthusiasm to the job and organization

• Bold: History of taking smart, calculated risks and aggressively leading through change

• Achievers: Consistently attain/exceed individual and team goals

You Will:

• Lead, manage, and grow multiple teams of product focused software & data engineers

• Embrace and incubate emerging technology and open-source products across all platforms

• Work to modernize our existing tech stacks and data platforms

• Collaborate with internal teams to find areas of opportunities for automation and machine learning

• Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications

• Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies

• Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications

• Conduct design and code review to ensure compliance with standards

Basic Qualifications:

• Bachelor’s Degree

• At least 9 years of experience in software engineering or data engineering

• At least 7 years of people management experience

• At least 3 years of experience with cloud-based data platforms

Preferred Qualifications:

• Master’s Degree

• 10+ years of experience in Data and Software Engineering

• 5+ years of experience in Data Acquisition, Data Integration, Data Observability, Data Governance Tooling, Data Standardization, Data Modeling, and Data Architecture

• 3+ years of experience with Data Lake Lakehouse, Data Mesh, Data Warehousing, and Data Products, GraphQL

• 3+ years of experience with AWS, Snowflake, and Databricks

• Experience with GenAI/Machine Learning in the context of Data Engineering, Data Preparation for ML/GenAI

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

• 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

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

• Bachelor’s Degree

• At least 4 years of experience in application development (Internship experience does not apply)

• At least 2 years of experience in big data technologies

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 2 years of people management experience

Preferred Qualifications:

• 7+ years of experience in application development including Python, SQL, Scala, or Java

• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

• 4+ year experience working on real-time data and streaming applications

• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

• 4+ years of data warehousing experience (Redshift or Snowflake)

• 4+ years of experience with UNIX/Linux including basic commands and shell scripting

• 2+ years of experience with Agile engineering practices

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

As a Senior Lead (Software Engineering), you will design and oversee the high-level design and functionality of software systems, ensuring they meet business functional requirements and technical non-functional specifications. Collaborate with stakeholders, developers and architects to create blueprints, choose technologies and set coding standards, while also providing guidance and support throughout the development lifecycle.

Develops architectural blueprints, conceptual models, and designs for software systems, ensuring they meet business needs and technical requirements. Proactively identify technical debt and develop design and approach to mitigate and resolve them in a timely manner.

Makes decisions about the technologies, frameworks, libraries and tools to be used in a project. Evaluates and helps conclude across internal and external choices.

Works closely with product and engineering stakeholders to define requirements and ensure alignment throughout the project. Helps quantify the risk and impact of existing technical debt and prioritise resolving and mitigating them in a timely manner.

Creates technical documentation to ensure the project is well-defined and understood by all stakeholders.

Skills and Qualifications

Deep Technical Knowledge
Extensive experience in software development across transactional and big data systems with a foundational understanding of various technologies and methodologies. Comfortable with multiple programming languages and paradigms, familiarity with relational and NoSQL data stores, streaming technology.

Strong analytical and problem-solving skills to identify and resolve technical issues.

Excellent communication skills to effectively convey technical information to both technical and non-technical audiences.

Project Management
Familiarity with project management methodologies and techniques, including Agile and Scrum.

• Bachelor’s Degree

• At least 10 years of professional software engineering experience (internship experience does not apply)

• At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• Master’s Degree

• At least 5 years of experience in at least one of the following: Java, Python, Javascript (TypeScript)

• At least 3 years of experience with AWS or any other cloud service

• Familiarity with project management experience - stakeholder management, delivery and timeline management etc.

• At least 2 years of experience in Agile practices

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

About the role - Senior Lead Software Engineer

As a Senior Lead Software Engineer, you will:

• Go deep into our product and engineering solutions with the ability to learn quickly and lead innovative solutions to complex technical problems
• Champion the adoption of enterprise tech standards and architecture patterns. Advocate for open source, and internal re-use while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes
• Continuously improve the engineering culture by being engaged in recruitment and participating in community activities, conducting training, authoring blog posts, filing patents etc. Participate in technology events to support brand awareness of the organization and to attract top talent.
• 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 in Computer Science or a related field
• Atleast 10 years of professional software engineering experience (internship experience does not apply)
• Atleast 5 years of experience in building software using at least 1 of the following: Golang, Java, Python, React (TypeScript), Rust, C++
• Atleast 3 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• Atleast 1 year of experience with Big Data, Data Security, Data Management, Governance and Controls

Preferred Qualifications

• Master's Degree in Computer Science or a related field
• 12+ years of professional software engineering experience (internship experience does not apply)
• Experience in building a product from the ground up
• History of building patent worthy solutions
• 5+ years of experience in distributed microservices
• 7+ years of experience in building software using at least 2 of the following: Golang, Java, Python, React (TypeScript), Rust, C++
• 4+ years of experience with AWS, GCP, Azure, or another cloud service
• 3+ years of experience with Big Data, Data Security, Data Management, Governance and Controls
• 2+ years of experience in Agile practices.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.