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J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Principal ML Engineer</h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><div> Refer</div></div>

Principal ML Engineer

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

Morningstar

<div>About Morningstar
Good investing decisions start with good information. Morningstar builds the research, data, and technology that help individual investors, financial advisors, and institutions make sense of markets. We are independent by design &mdash; our data and opinions answer to evidence, not to outside influence. That independence makes us a force for good in the markets, bringing transparency and unbiased information to the people who rely on us.
We can only empower investors if our people feel empowered &mdash; and that starts with how we hire. Talent Acquisition brings in the people who move that work forward, and for many of them it is their first experience of Morningstar.
<div></div>About the Role
As a Lead Technical Recruiter, you own recruiting outcomes for Morningstar's technical hiring across North America &mdash; engineering, AI/ML, data science, and product &mdash; and you set the standard for what great hiring looks like. This is a senior individual-contributor role: you run the most complex searches yourself and raise the bar for the recruiters around you through example and expertise, not direct reports.
Recruiting here runs the way Morningstar's research does &mdash; on evidence, independence, and a genuine point of view, not order-taking. Your job is to make that the daily standard for the recruiters around you.
<div></div>What You'll Do
<ul><li>Own recruiting outcomes for Morningstar's technical roles across North America &mdash; quality of hire, speed, and candidate experience.
</li><li>Define what good looks like across intake, sourcing, selection, and closing, and mentor recruiters against a capability model with hands-on feedback that grows true advisors.
</li><li>Take on the most complex and senior searches in your area, bringing evidence, judgment, and a clear point of view to every stage.
</li><li>Bring genuine technical fluency across AI/ML, engineering, and product &mdash; enough to hold credible conversations, assess real depth (not keywords), and partner with engineering, data science, and product leaders to turn technical requirements into search strategy and market maps.
</li><li>Serve as the senior TA voice for your domain with business and HR leaders, bringing market intelligence and a clear point of view.
</li><li>Make structured, fair, evidence-based selection the standard across your domain, and facilitate calibrated debriefs.
</li><li>Own pipeline health for your domain &mdash; forecasting risk, intervening early, and turning recruiting data into insight for stakeholders and TA leadership.
</li><li>Design and champion AI-assisted recruiting workflows, driving adoption while keeping their use responsible and compliant.
</li><li>Contribute to playbooks, training, and process improvements that scale beyond your own searches.
</li><li>Support the vision and values of the company through role modeling and encouraging desired behaviors.
</li><li>Participate in various company initiatives and projects as requested.
</li></ul>Required Qualifications
<ul><li>7 or more years of recruiting experience, including time spent mentoring or coaching other recruiters
</li><li>Personal track record owning complex or senior searches with strong, measurable outcomes
</li><li>Deep understanding of technical hiring across AI/ML, engineering, and product &mdash; you can scope technical roles credibly and speak the language of the teams you hire for.
</li><li>Demonstrated ability to set standards and raise the capability of the recruiters around you &mdash; people grow under your coaching
</li><li>Ability to influence senior stakeholders with market insight and data
</li><li>Fluent designing and coaching AI-assisted recruiting workflows
</li><li>Solid working knowledge of employment law, EEO, and OFCCP as applied to talent acquisition
</li></ul><div></div>Preferred Qualifications
<ul><li>Experience with Workday, Paradox and Hired Score
</li><li>Track record building or improving a recruiting program, tool, or training curriculum
</li></ul>Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That&rsquo;s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
<ul><li>Financial Health
<ul><li>100% 401k match up to 6% of salary
</li></ul><ul><li>Stock Ownership Potential
</li><li>Company provided life insurance - 1x salary + commission
</li></ul></li><li>Physical Health
<ul><li>Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
</li><li>Additional medical Wellness Incentives - up to $300-$600 annual
</li><li>Company-provided long- and short-term disability insurance
</li></ul></li><li>Emotional Health
<ul><li>Trust-Based Time Off
</li><li>6-week Paid Sabbatical Program
</li><li>6-Week Paid Family Caregiving Leave
</li><li>Competitive 8-24 Week Paid Parental Leave
</li><li>Adoption Assistance
</li><li>Leadership Coaching &amp; Formal Mentorship Opportunities
</li><li>Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</li><li>Tuition Reimbursement
</li></ul></li><li>Social Health
<ul><li>Charitable Matching Gifts program
</li><li>Dollars for Doers volunteer program
</li><li>Paid volunteering days
</li><li>15+ Employee Resource &amp; Affinity Groups
</li></ul></li></ul>Total Cash Compensation Range
$95,275.00-139,741.66
Inclusive of annual base salary and target incentive
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
001_MstarInc Morningstar Inc. Legal Entity</div>

Talent Acquisition Technology Lead

KeyBank

<div>Location:
4910 Tiedeman Road, Brooklyn Ohio
Department: Contact Center Technology 
Experience: 4+ years<h3 class="jobSectionHeader">
About the Role</h3>
KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.
Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. 

#LI-Remote</div>

Lead AI Engineer

Alvarez & Marsal

<div>Description
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
Alvarez &amp; Marsal's Corporate Performance Improvement practice is looking for a FinOps leader who bridges finance, engineering, and operations to align cloud investments with maximum business value. This is both a strategic role - defining cloud financial management roadmaps - and a hands-on tactical role designing and implementing cost avoidance and cost reduction measures. 
Experience Should Include<ul><li>
Cloud cost modeling, optimization, and benchmarking (government and/or commercial comparables) including AI workloads.</li><li>
FinOps framework implementation - governance, tagging taxonomy, chargeback/show-back models, KPI frameworks</li><li>
FinOps Open Cost and Usage Specification (FOCUS)</li><li>
Workload rightsizing, auto-scaling, and commitment-based discount strategy (reserved instances, savings plans, committed-use agreements)</li><li>
Orphaned/unused resource identification and remediation - VM rightsizing, guardrails, tagging automation</li><li>
Native cloud cost management tools (AWS Cost Explorer, Azure Cost Management, GCP Billing) and third-party FinOps platforms (Apptio, Flexera, Cloud Health)</li><li>
Enterprise software licensing consolidation and optimization</li><li>
AI-assisted cost anomaly detection, forecasting, and optimization recommendation engines - must demonstrate active use of AI tools in delivery; AI fluency is required for this role</li></ul>
How you will contribute<ul><li>
Develop and execute comprehensive FinOps strategies aligned with business and mission goals, detailing frameworks, processes, and governance</li><li>
Create and maintain FinOps roadmaps embedding cost-conscious practices into engineering and architecture lifecycles</li><li>
Design KPI frameworks with clear targets and accountability mechanisms to monitor FinOps delivery</li><li>
Establish governance frameworks for tagging, budgeting, and resource accountability - including guardrails to prevent unnecessary resource allocation</li><li>
Drive automation and transparency in cost reporting, anomaly detection, and forecasting - providing real-time visibility into cloud spend across mission partners</li><li>
Build ROI models and cost reduction business cases that quantify optimization impact for executive audiences</li><li>
Integrate findings into A&amp;M's broader engagement scope and deliverables</li><li>
Support practice development through internal training, content creation, and people development</li></ul>
Qualifications
<ul><li>8-12+ years of professional experience in cloud cost management and FinOps practice development</li><li>
FinOps Practitioner or FinOps Engineer certification strongly preferred</li><li>
Demonstrated 15&ndash;30% cloud cost savings delivery on prior engagements</li><li>
Strong data analytics and visualization skills - experience with SQL, PowerBI, or equivalent</li><li>
Federal FinOps experience helpful but not required - demonstrated cost optimization at scale in any large enterprise is the primary qualifier</li><li>
Bachelor's degree required; Finance, Computer Science, or MIS preferred</li><li>
Comfortable with travel up to 80%</li><li>
Full-time, contract, and project-based engagements available</li></ul> 
What Distinguishes a Great Candidate
Has built FinOps practices from scratch in large enterprises - not just reported on costs. Can do rate negotiation strategy. Understands both the financial and engineering levers of cloud cost optimization. Brings AI-powered cost analytics and forecasting as standard practice, not as an add-on.
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&amp;M&rsquo;s benefits programs.
The salary range for Manager is $135,000 - $160,000 annually and Director is $150,000 - $210,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
#LI-EW1</div>

FinOps & Cloud Cost Optimization Lead, Digital & Technology Services

JPMorganChase

<div>JOB DESCRIPTION 
 
 
<div>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</div><div></div><div>As a Software Engineer III at JPMorganChase within the Commercial &amp; Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</div><div>
</div><div>Job responsibilities</div><div>
</div><ul><li>Executes 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>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><div>
</div><div></div><div>Required qualifications, capabilities, and skills</div><div>
</div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Must be a US Citizen</li><li>
Experience with popular frameworks like core Java &amp; Spring framework, OpenAPI specifications for building robust enterprise-level applications.</li><li>
Advanced experience with Java, J2EE and SQL server</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.</li><li>
Experience across the whole Software Development Life Cycle</li><li>
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul><div>
</div><div></div><div>Preferred qualifications, capabilities, and skills</div><div>
</div><ul><li>Familiarity with modern front-end technologies like React/Angular</li><li>
Experience in Web based development experience with modern JavaScript libraries like Angular.js.</li><li>
Exposure to cloud technologies like AWS</li></ul>
ABOUT US 
 
 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

FullStack Java Software Engineer III - React / AWS

<div>
 
 DRW
 
 is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
 
 
 Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
 
 
 We operate with respect, curiosity and open minds. The people who thrive here share our belief that it&rsquo;s not just what we do that matters&ndash;it's how we do it.
 
 DRW
 
 is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
 
 
 
 About The Team
 
 
 
 The DRW Cumberland &amp; FICC Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.
 
 
 
 About The Role
 
 
 
 We are seeking a Data Engineer to join our trading team. This role will be responsible for onboarding, transforming, and curating datasets. You will collaborate closely with traders, researchers, and quantitative developers to support options and delta-one trading strategies. In this role you will:
 
 
 <ul>
 <li>
 Build, maintain, and manage core trading datasets
 </li>
 <li>
 Implement data quality and control processes
 </li>
 <li>
 Incorporate new data from both internally derived and vendor systems
 </li>
 <li>
 Collaborate with research teams to apply novel ideas to historic data sets
 </li>
 <li>
 Create AI sympathetic annotations to new and existing data sets
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of demonstrated experience designing and implementing ingestion pipelines
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 Foundational understanding of the Python data science ecosystem
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 Strong understanding of option and future products and their respective data requirements
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 Strong understanding of financial point-in-time and time-series data and analysis
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 An understanding of the financial data vendor landscape and product offerings
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 Proven expertise in developing data quality control processes to detect gaps or inaccuracies
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 Experience with monitoring, observability, and alerting systems for data pipelines
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 Proven ability to work in an agile, fast-paced environment and handle trading environment demands
 
 
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 </ul>
 The annual base salary range for this position is $150,000 to $200,000 depending on the candidate&rsquo;s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&amp;D insurance, health savings accounts, and flexible spending accounts.
 
 
 
 For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
 
 
 
 
 California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
 
 
 
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Data Engineer, Cumberland/FICCO

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