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Senior Manager, Software Engineering, Full Stack - Capital One Software (Remote)Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager, Software Engineering, Full Stack, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do: <ul> <li>Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li> <li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li> <li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li> <li>Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services </li> </ul>Basic Qualifications: <ul> <li>Bachelor’s Degree</li> <li>At least 6 years of experience in software engineering (Internship experience does not apply)</li> <li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li> <li>At least 4 years of people management experience</li> </ul>Preferred Qualifications: <ul> <li>Master’s Degree</li> <li>9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go</li> <li>3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li> <li>4+ years of experience in open source frameworks</li> <li>7+ years of people management experience</li> <li>2+ years of experience in Agile practices</li> </ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 <a href="#">RecruitingAccommodation@capitalone.com</a>. 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 <a href="#">Careers@capitalone.com</a>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).

Capital One

Senior Manager, Software Engineering, Full Stack - Capital One Software (Remote)

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary Senior Machine Learning Engineer will work closely with engineering tech leads to deploy LLM models into production, build scalable ML infrastructure, and optimize ML workflows. This role will play a crucial role in defining and scaling ML/AI applications in production, ensuring efficiency, reliability, and automation across model development, training, and evaluation. <h3>Essential Job Duties and Responsibilities</h3> <ul> <li>Collaborate with engineering tech leads to integrate LLM models into production systems.</li> <li>Identify and solve engineering pain points by building scalable, general-use ML platforms.</li> <li>Design and develop scalable infrastructure and pipelines for data/feature processing, model training, and evaluation.</li> <li>Automate ML workflows to improve productivity across training, evaluation, testing, and results generation.</li> <li>Partner with cross-functional teams to define the long-term vision for ML/AI applications and contribute to roadmap planning.</li> <li>Implement ML Ops best practices, ensuring efficient model deployment, monitoring, and versioning.</li> <li>Optimize and manage distributed processing architectures using Spark, Databricks, Airflow, Kubeflow, MLflow, etc.</li> <li>Develop microservices-based architectures for ML applications, including RESTful APIs for model serving.</li> <li>Ensure compliance with scalability, reliability, and security standards in ML production systems.</li> </ul><h3>Required Skills, Knowledge, and Abilities</h3> <ul> <li>Master’s degree in computer science, Machine Learning, or a related field with 5+ years of experience as an ML Engineer or ML Scientist in an industry setting.</li> <li>Strong programming skills in Java, Python, and SQL/MySQL.</li> <li>Hands-on experience in ML Ops, including large-scale ML applications, services, pipelines, and architectures.</li> <li>Solid understanding of system design for ML systems, including design patterns, OOD (Object-Oriented Design), and interface design.</li> <li>Experience with distributed processing architectures and ML/data workflow management platforms (e.g., Spark, Databricks, Airflow, Kubeflow, MLflow).</li> <li>Experience with containerization and orchestration tools like Docker and Kubernetes</li> Preferred Qualifications <li>Ph.D. in Computer Science, Machine Learning, or a related field, or 3+ years of ML Engineering experience in addition to a Master’s degree.</li> <li>Strong theoretical and practical understanding of machine learning models and frameworks (Scikit-Learn, TensorFlow, PyTorch, etc.).</li> <li>Experience working with cloud-based solutions, especially AWS and Databricks.</li> <li>Experience with CI/CD pipelines, automated testing, and test-driven development for ML applications.</li> <li>Knowledge of microservice architectures and best practices for RESTful web services.</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

GoodLeap LLC

Senior Machine Learning Engineer

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We are looking for a highly experienced Staff Engineer with deep expertise in the software industry with emphasis on application development using Gen AI and Machine Learning. In this role, you will drive the architectural vision for our AI enterprise platform, ensuring we build scalable, reliable, and high-performance systems leveraging LLMs, Machine learning and agentic AI framework. You’ll partner with leadership, product, and engineering teams to shape the technical roadmap, mentor engineers, and solve complex problems that scale our AI systems to support rapid growth. As a Staff Engineer, you will set technical direction, lead critical initiatives, and be a key decision-maker on AI strategies, ensuring our platform stays at the forefront of innovation and security. <h3>Essential Job Duties and Responsibilities</h3> <ul> <li>Lead the design and development of large-scale, mission-critical AI enterprise agentic platform that integrates with other Goodleap systems and services.</li> <li>Architect highly scalable, resilient, and secure systems that can handle large volumes and traffic.</li> <li>Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.</li> <li>Collaborate with product and engineering leaders to align technical solutions with business objectives.</li> <li>Drive cross-functional projects to enhance the integration, reliability and performance of our AI enterprise platform.</li> <li>Ensure compliance with industry regulations, including legal standards.</li> <li>Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence.</li> <li>Evaluate and implement new emerging technologies and tools to continuously improve our systems and development processes.</li> <li>Contribute to key architectural decisions, including the design of microservices and the adoption of new AI technologies including LLMs, Voice, Image etc.</li> </ul><h3>Required Skills, Knowledge, and Abilities</h3> <ul> <li>8+ years of experience in software engineering, with a strong background in building enterprise platforms at scale with expertise in AI/ML.</li> <li>Experience in designing and deploying real-time LLM systems at scale.</li> <li>Experience in evaluating, monitoring, and iterating on LLM solutions.</li> <li>Experience in ML packages and tools, Tensorflow / PyTorch, Sagemaker, MLFlow, OpenAI API</li> <li>Expertise in Node, TypeScript, and Python. Knowledge of .NET is good to have</li> <li>Strong expertise in designing systems for high availability, fault tolerance, and scalability.</li> <li>Experience in cloud infrastructure (AWS) with a focus on performance, security, and monitoring.</li> <li>Expertise in distributed systems architecture, microservices, and RESTful APIs.</li> <li>Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams.</li> <li>Strong leadership skills, with a proven ability to mentor and lead engineering teams.</li> <li>Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment.</li> Bonus Points (optional section) <li>Experience with integration of AI/ML solutions with Salesforce &amp; Genesys</li> <li>Experience in building multi-agent solutions and reinforcement learning</li> <li>Experience in FinTech or other highly regulated industries.</li> <li>Strong track record of managing complex technical debt and driving long-term architectural strategy.</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

13 Software Engineering Jobs in Richmond, VA, USA