Lead Software Engineer
Capital One
Lead Software Engineer
Job Description
Overview
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. Product Management at Capital One is a critical, vibrant craft that requires a blend of entrepreneurial drive, keen business acumen, customer experience obsession, technical depth and strong people leadership. The MLX team is at the forefront of how Capital One builds and deploys responsible GenAI and ML models; we onboard and educate associates on the GenAI and ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse Generative AI and ML into the fabric of the company. The AI experience we're creating is the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our customers.Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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
Lead a portfolio of diverse technology projects with deep experience in distributed microservices and full stack systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives
Implement software in unambiguous and uncomplicated domains with little to no support, while effectively combining standards and practices to implement more complex software
Implement a new, fully featured local build and deployment pipeline, while identifying improvements and making enhancements to established deployment pipelines
Familiarity with many modern application architecture and design patterns, with the ability to leverage them in moderately complex domains
Teach others architecture and design patterns and how and when to apply them
Debug moderately complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems
Partner with product and design teams to develop and integrate advanced features to the platform
Develop features to enhance the overall user experience with little to no direction, knowing what non functionals to address and how
Bachelor’s degree
At least 8 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot)
At least 6 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB)
At least 4 years of experience designing and building data intensive solutions using distributed computing and knowledge of event-driven development
At least 4 years of experience in building SDKs, in-depth understanding of OOPs concept and building packages, libraries for downstream consumption
At least 6 years of experience in a technical leadership role overseeing strategic projects
At least 4 years of experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience in Agile or Kanban software development methodologies and Agile software development
8+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud)
3+ years of experience in MLOps either using open source tools like MLFlow or commercial tools
3+ years of experience building production-ready capabilities for large scale platforms
8+ years of experience with a server side application framework (Django, Express, Spring)
Hands-on implementation of responsible AI, building solution for guard rails, model explainability, fairness and goverance.
Exposure to Generative AI application and familiarity with open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS.
Locations
- Bengaluru, India Bangalore, KarnātakaBengaluru
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- full-stack developmentintermediate
- distributed microservicesintermediate
- programming languages (Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot)intermediate
- database technology (MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB)intermediate
- cloud computing (AWS, Azure, Google Cloud)intermediate
- MLOpsintermediate
- event-driven developmentintermediate
- technical leadershipintermediate
Required Qualifications
- Bachelor’s degree (experience)
- At least 8 years of experience building back-end services (experience)
- At least 6 years of experience with a database technology (experience)
- At least 4 years of experience designing and building data intensive solutions using distributed computing (experience)
- At least 6 years of experience in a technical leadership role (experience)
- At least 4 years of experience developing and deploying ML platform solutions in a public cloud (experience)
Responsibilities
- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
- Lead a portfolio of diverse technology projects
- Share passion for tech trends and mentor engineering community
- Utilize various programming languages, databases, containers, and AWS tools
- Implement software in complex domains
- Develop and integrate advanced features to the platform
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Lead Software Engineer @ Capital One.
Related Books and Jobs
Lead Software Engineer
Capital One
Lead Software Engineer
Job Description
Overview
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. Product Management at Capital One is a critical, vibrant craft that requires a blend of entrepreneurial drive, keen business acumen, customer experience obsession, technical depth and strong people leadership. The MLX team is at the forefront of how Capital One builds and deploys responsible GenAI and ML models; we onboard and educate associates on the GenAI and ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse Generative AI and ML into the fabric of the company. The AI experience we're creating is the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our customers.Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 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
Lead a portfolio of diverse technology projects with deep experience in distributed microservices and full stack systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives
Implement software in unambiguous and uncomplicated domains with little to no support, while effectively combining standards and practices to implement more complex software
Implement a new, fully featured local build and deployment pipeline, while identifying improvements and making enhancements to established deployment pipelines
Familiarity with many modern application architecture and design patterns, with the ability to leverage them in moderately complex domains
Teach others architecture and design patterns and how and when to apply them
Debug moderately complex issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems
Partner with product and design teams to develop and integrate advanced features to the platform
Develop features to enhance the overall user experience with little to no direction, knowing what non functionals to address and how
Bachelor’s degree
At least 8 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot)
At least 6 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB)
At least 4 years of experience designing and building data intensive solutions using distributed computing and knowledge of event-driven development
At least 4 years of experience in building SDKs, in-depth understanding of OOPs concept and building packages, libraries for downstream consumption
At least 6 years of experience in a technical leadership role overseeing strategic projects
At least 4 years of experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience in Agile or Kanban software development methodologies and Agile software development
8+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud)
3+ years of experience in MLOps either using open source tools like MLFlow or commercial tools
3+ years of experience building production-ready capabilities for large scale platforms
8+ years of experience with a server side application framework (Django, Express, Spring)
Hands-on implementation of responsible AI, building solution for guard rails, model explainability, fairness and goverance.
Exposure to Generative AI application and familiarity with open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS.
Locations
- Bengaluru, India Bangalore, KarnātakaBengaluru
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- full-stack developmentintermediate
- distributed microservicesintermediate
- programming languages (Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot)intermediate
- database technology (MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB)intermediate
- cloud computing (AWS, Azure, Google Cloud)intermediate
- MLOpsintermediate
- event-driven developmentintermediate
- technical leadershipintermediate
Required Qualifications
- Bachelor’s degree (experience)
- At least 8 years of experience building back-end services (experience)
- At least 6 years of experience with a database technology (experience)
- At least 4 years of experience designing and building data intensive solutions using distributed computing (experience)
- At least 6 years of experience in a technical leadership role (experience)
- At least 4 years of experience developing and deploying ML platform solutions in a public cloud (experience)
Responsibilities
- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
- Lead a portfolio of diverse technology projects
- Share passion for tech trends and mentor engineering community
- Utilize various programming languages, databases, containers, and AWS tools
- Implement software in complex domains
- Develop and integrate advanced features to the platform
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Lead Software Engineer @ Capital One.
Related Books and Jobs