lead software development engineer

Capital One

<div>Lead Software Engineer
<p></p><p>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 Front End Software Engineers who are passionate about using cutting-edge open source frameworks with emerging technologies. As a Capital One Lead Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
</p><p></p><p>What You&rsquo;ll Do:
</p><ul><li><p>Work with a team of developers with deep experience in distributed microservices and full stack systems
</p></li><li><p>Perform software development on Front End Applications leveraging a test-driven development pattern
</p></li><li><p>Own the technical design and development of cross-functional, multi-platform application systems
</p></li><li><p>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</p></li><li><p>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</p></li><li><p>Utilize programming languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development
</p></li></ul><p></p><p>Basic Qualifications:
</p><ul><li><p>Bachelor&rsquo;s Degree
</p></li><li><p>At least 4 years of professional software engineering experience (Internship experience does not apply)
</p></li><li><p>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</p></li></ul><p></p><p>Preferred Qualifications:
</p><ul><li><p>Master's Degree
</p></li><li><p>7+ years of experience in at least one of the following: JavaScript, React, Angular, Node, TypeScript, or Java
</p></li><li><p>4+ years of experience in open source frameworks
</p></li><li><p>1+ years of people management experience
</p></li><li><p>2+ years of experience in Agile practices
</p></li><li><p>Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
</p></li></ul><p></p><p><b><i>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
</i></b></p><p></p><p>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.
</p><p></p>McLean, VA: $197,300 - $225,100 for Lead Software Engineer<p><br>
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<p>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&rsquo;s offer letter.
</p><p></p>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.
<p></p><p>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 Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
</p><p></p>This role is expected to accept applications for a minimum of 5 business days.
<p></p>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
<p></p><p>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 RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
</p><p></p><p>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
</p><p></p><p>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.
</p><p></p><p>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).</p></div>

Lead Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Data Engineering &amp; Applied AI Lead Software Engineer at JPMorganChase within the Asset &amp; Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p><b>
Job responsibilities:</b></p><ul><li>
Designing, developing, and delivering AI-enabled platform capabilities that power next-generation data management products (Data Quality, Metadata Management, Lineage, Data Retention and Destruction)</li><li><b>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</b></li><li><b>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</b></li><li>
Hands on design and development of agentic production data platform with full stack application ownership.</li><li>
AI first mindset in developing code using Claude Code, building agents to make application/platform autonomous.</li><li>
Develop AI skills, agents, MCP server in support of product capabilities to deliver business value
</li><li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills:</b></p><ul><li>
Formal training or certification in Software Engineering and 5+ years applied experience</li><li><b>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</b></li><li><b>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices</b></li><li><b>
Strong knowledge of data architecture and modeling patterns, including dimensional modeling and database design (normalization/denormalization).</b></li><li>
Use enterprise-authorized AI-assisted development tools (coding, testing, troubleshooting, documentation) with rigorous validation of outputs for correctness, performance, and security.</li><li>
Apply and coach responsible AI practices, including data sensitivity, secure input/output handling, and resiliency/security standards.</li><li>
Own end-to-end delivery of data management products: operate/maintain/modernize existing applications and build greenfield capabilities across UI, APIs, services, integrations, and data pipelines in a federated model.</li><li>
Design and deliver platform services for metadata, lineage, data contracts, data quality, and retention/destruction via well-defined interfaces and workflows.</li><li>
Evaluate open-source solutions through rapid POCs with success criteria; lead selection, customization, and enterprise hardening for reliability, security, and operational support.</li><li>
Build workflow orchestration and policy enforcement services, plus scalable batch/streaming integrations (schema evolution, backfills, error handling, contract-driven interoperability).</li><li>
Establish production-grade operations and controls (SRE practices, monitoring/on-call, incident response/RCA, auditability, least-privilege, disciplined change management) and deliver governed agentic capabilities (safe tool/function calling, autonomy tiers, access-controlled RAG, evaluation/monitoring, audit trails, rollback/fallback) while leading through influence, design reviews, and mentoring.</li></ul><div>
</div><div><b>Preferred qualifications, capabilities, and skills:</b></div><div>
</div><ul><li>Preferred financial services or Wealth Management experience, data governance or data management domain expertise, and experience evaluating and enterprise-hardening open-source software.</li><li>
Frontend: React or Angular with TypeScript.</li><li>
Backend: Python, Java, or Kotlin with REST or GraphQL.</li><li>
Data Engineering/Platform: Spark, Kafka, Airflow, Snowflake, and AWS.</li><li>
Platform engineering: containers, CI/CD, observability, and controlled release practices.</li><li>
Applied AI with LLMs: Claude Code, Agent, Skills, RAG, embeddings, prompt or configuration management, evaluation and guardrails, and agent tool or function calling</li><li>
Bachelor's degree required. Advanced degree is a plus</li></ul>
<b>ABOUT US</b><br>
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<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
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<b>ABOUT THE TEAM</b><br>
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<div>J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.<br>
</div><div></div><br>
<div>Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.</div></div>

Lead Software Engineer - Data Engineering & Applied AI

NIKE

<div><div><div><div>Position Type</div>
<div>Full Time</div>
</div><div></div><div><div>Career area</div>
<div>Data</div>
</div><div><div>Location</div>
<div>1 Bowerman Drive, Beaverton, Oregon 97005, United States</div>
</div><div></div><div><div>Job ID</div>
<div>R-88272</div></div></div><p></p><div><div><div><div><ul><li><p><br>
</p></li></ul></div></div></div></div><div><div><div><div><p>Become a Part of the NIKE, Inc. Team</p>
<p>NIKE, Inc. does more than outfit the world&rsquo;s best athletes. It&rsquo;s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we&rsquo;re after&mdash;bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?</p>
</div><div><p>LEAD, DATA ENGINEER - NIKE</p>
<p><i>[Beaverton, OR - USA]</i></p>
<p></p><h2 class="jobSectionHeader"><b>WHO YOU'LL WORK WITH</b></h2>
<p>Consumer Product and Innovation (CP&amp;I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.</p>
<p></p><h2 class="jobSectionHeader"><b>WHO WE ARE LOOKING FOR</b></h2>
<p>We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&amp;I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.</p>
<p>We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.</p>
<ul><li>Bachelor's degree or equivalent combination of education, experience, or training</li>
<li>8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark</li>
<li>Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)</li>
<li>Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices</li>
<li>Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication</li>
</ul><p></p><p><b>Preferred qualifications:</b></p>
<ul><li>Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments</li>
<li>Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)</li>
</ul><p></p><h2 class="jobSectionHeader"><b>WHAT YOU'LL WORK ON</b></h2>
<p>You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.</p>
<ul><li>Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&amp;I</li>
<li>Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making</li>
<li>Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization</li>
<li>Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality</li>
<li>Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale</li>
<li>Implement CI/CD pipelines to automate deployment and testing of data engineering workflows</li>
<li>Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement</li>
</ul><p>We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.</p>
</div><p></p><div><p>NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.</p>
<p>NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.</p></div><p></p><div><div><div><div><ul><br>
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</p></li></ul></div></div></div></div></div></div><div><div>What You Can Expect
<h2 class="jobSectionHeader"><b>OUR HIRING GAME PLAN</b></h2>
</div><div><h3 class="jobSectionHeader"><b>01 Apply</b></h3>
<p>Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit &ndash; review job descriptions, departments and teams to discover the role for you.</p>
</div><div><h3 class="jobSectionHeader"><b>02 Meet a Recruiter or Take an Assessment</b></h3>
<p>If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you&rsquo;ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you &ndash; the whole you &ndash; so don&rsquo;t shy away from how you approach world-class service and what makes you unique.</p>
</div><div><h3 class="jobSectionHeader"><b>03 Interview</b></h3>
<p>Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.</p></div></div></div></div><div></div>

Lead Data Engineer

<div>Lead Machine Learning Engineer
<p></p><p>As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You&rsquo;ll lead the detailed technical design, development, and implementation of core agentic architectures and multi-agent workflows using emerging technologies. You&rsquo;ll focus on system-level architectural design, develop and review complex models and application code, and ensure the high availability, performance, and security of our generative AI applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in generative and agentic machine learning engineering.
</p><p></p><p><b>What you&rsquo;ll do in the role:
</b></p><ul><li><p>Architect Agentic Platforms: Design, develop, and scale core agentic engines and multi-agent workflow solutions, enabling seamless composition of conversational and business automation workflows.
</p></li><li><p>Drive AI Evaluation &amp; Trust: Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ensure model predictability, performance monitoring, and mitigation of model risk.
</p></li><li><p>Deliver High-Impact Use Cases: Partner with cross-functional product and business teams to deploy production AI solutions, including next-generation consumer AI experiences, intelligent recommendation engines, and advanced conversational assistants.
</p></li><li><p>Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures, and framework auditability/explainability.
</p></li><li><p>Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval-augmented generation (RAG), and multi-agent design patterns, judiciously applying these novel techniques to production systems.
</p></li><li><p>Technical Leadership &amp; Code Excellence: Provide technical direction, architectural oversight, and rigorous code reviews for engineering teams, fostering a culture of modern engineering excellence.
</p></li></ul><p></p><p><b>Basic Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s Degree
</p></li><li><p>At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</p></li><li><p>At least 4 years of experience programming with Python, Scala, or Java
</p></li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li><p>Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
</p></li><li><p>3+ years of experience with GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex) and Vector Databases
</p></li><li><p>3 years of experience building, scaling, and optimizing Large Language Model (LLM) or GenAI orchestration systems in production
</p></li><li><p>2+ years of experience building automated evaluations (Evals) and observability pipelines for LLMs
</p></li><li><p>3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
</p></li><li><p>Experience deploying AI solutions within a strictly regulated environment, incorporating data privacy and model risk governance
</p></li><li><p>Demonstrated ability to lead technical architecture design and provide deep technical guidance to engineering teams
</p></li><li><p>Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
</p></li><li><p>ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents
</p></li></ul><p></p><p><b><i>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
</i></b></p><p></p><p>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.
</p><p></p>Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer<p><br>
</p><p></p><br>
<br>
<br>
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<br>
<br>
<br>
<br>
<br>
<p>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&rsquo;s offer letter.
</p><p></p>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.
<p></p><p>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 Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
</p><p></p>This role is expected to accept applications for a minimum of 5 business days.
<p></p>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
<p></p><p>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 RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
</p><p></p><p>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
</p><p></p><p>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.
</p><p></p><p>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).</p></div>

Lead Machine Learning Engineer

Georgia-Pacific

<div><b>Your Job</b><p>
As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets. You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.</p><p>
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.</p><p><b>
Our Team</b></p><p>
The Georgia Pacific Data Platform team builds, manages, &amp; operates centralized products that support Georgia Pacific's Business Units and IT. These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.</p><p><b>
What You Will Do</b></p><br>
<ul><li>
Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure
</li><li>Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers
</li><li>Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools
</li></ul><p><b>Who You Are (Basic Qualifications)</b></p><br>
<ul><li>
Experience designing, building, and maintaining large-scale distributed systems
</li><li>Experience serving as a senior technical leader overseeing multiple data engineering teams
</li><li>Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms
</li><li>Experience leading operations for highly available data platforms and data lakes
</li><li>Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns
</li><li>Must have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship
</li></ul><p><b>What Will Put You Ahead</b></p><br>
<ul><li>
Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)
</li><li>Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)
</li><li>Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives
</li></ul><p>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.</p><p><b>
Hiring Philosophy</b>
</p><p>All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.</p><p><b>
Who We Are</b></p><p>
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.</p><p>
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.</p><p><b>
Our Benefits</b>
</p><p>Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.</p><p><b>
Equal Opportunities</b>
</p><p>Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
</p><p>#LI-RR1</p></div>

Wells Fargo

<div><p><b>About this role:</b></p><p>
Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloud‑native data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, self‑service data platforms, and governance‑by‑design, enabling secure, reliable, and compliant data solutions across Google Cloud services.</p><p></p><p>
The COO Technology group powers the firm&rsquo;s most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.</p><p></p><p><b>
In this role, you will:</b></p><ul><li>
Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)</li><li>
Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.</li><li>
Enable self‑service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one‑off pipelines.</li><li>
Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.</li><li>
Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.</li><li>
Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).</li><li>
Build opinionated data ingestion frameworks (e.g., config‑driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.</li><li>
Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).</li><li>
Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.</li><li>
Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.</li><li>
Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.</li><li>
Apply security and governance controls: IAM, VPC‑SC, CMEK, row/column‑level security, and policy‑driven access patterns</li><li>
Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks</li><li>
Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.</li><li>
Contribute to platform roadmap, tool selection, and evaluation of new GCP services and open‑source components</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
</li><li>5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.</li><li>
5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git‑based workflows) for data workloads</li></ul><p></p><p><b>
Desired Qualifications:</b></p><ul><li>
Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards</li><li>
Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.</li><li>
Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).</li><li>
Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.</li></ul><ul><li>
Experience with Agile transformations and technology roadmaps.</li><li>
Experience working with onshore and offshore teams.</li></ul><p></p><p><b>
Job Expectations:</b></p><ul><li>
Flexible to provide both application development and production support during off-hours</li><li>
This role is not eligible for Visa Sponsorship</li><li>
Hybrid schedule (3 days in office, 2 days remote)</li><li>
Work Transparently: You always deal in an honest, direct, and transparent way</li><li>
Take Ownership: You embrace responsibility and find joy in having the answers</li><li>
Learn More: You regularly self-educate and improve your skill set</li></ul><p></p><p><b>
Job Posting Locations:</b></p><p>
194 S Wood Ave, Iselin, New Jersey 08830</p><p>
300 S Brevard St., CHARLOTTE, North Carolina 28202</p><p>
401 Las Colinas Blvd W Bldg A, Irving, Texas 75039</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$119,000.00 - $224,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
15 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Intellias

<div>
 <p>
  <strong>
   Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
  </strong>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Tech Lead Engineer
  </strong>
  to design and lead the implementation of an enterprise-grade
  <strong>
   AI Registry and Discovery Platform
  </strong>
  for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 </p>
 <p>
  As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 </p>
 <p>
  The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 </p>
 <p>
  Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 </p>
 <p>
  As a
  <strong>
   Tech Lead Engineer
  </strong>
  , you will become part of the
  <strong>
   Core Architecture Team
  </strong>
  , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 </p>
 <p>
  The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
  </li>
  <li>
   Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
  </li>
  <li>
   Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
  </li>
  <li>
   Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
  </li>
  <li>
   Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
  </li>
  <li>
   Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
  </li>
  <li>
   Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
  </li>
  <li>
   Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
  </li>
  <li>
   Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
  </li>
  <li>
   Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
  </li>
  <li>
   Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
  </li>
  <li>
   Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
  </li>
  <li>
   Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
  </li>
  <li>
   Produce architecture documentation, implementation standards, and technical governance guidelines.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, Software Engineering, or a related field.
  </li>
  <li>
   5+ years of backend or platform engineering experience.
  </li>
  <li>
   Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
  </li>
  <li>
   Strong Python development experience, including Fast API and backend service development.
  </li>
  <li>
   Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
  </li>
  <li>
   Experience designing metadata schemas and service registration models.
  </li>
  <li>
   Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
  </li>
  <li>
   Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
  </li>
  <li>
   Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
  </li>
  <li>
   Experience integrating enterprise identity providers and identity mapping solutions.
  </li>
  <li>
   Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
  </li>
  <li>
   Excellent leadership, communication, mentoring, and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with AWS AgentCore Registry and Gateway.
  </li>
  <li>
   Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
  </li>
  <li>
   Experience with HashiCorp Vault or enterprise secrets management platforms.
  </li>
  <li>
   Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
  </li>
  <li>
   Experience implementing observability and distributed tracing solutions.
  </li>
  <li>
   Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
  </li>
 </ul>
 <p>
  Why Join Us
 </p>
 <ul>
  <li>
   Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
  </li>
  <li>
   Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
  </li>
  <li>
   Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
  </li>
  <li>
   Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
  </li>
  <li>
   Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

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