senior lead software engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
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<p>Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorgan Chase, you'll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.</p><p>
As a Senior Lead Software Engineer, Cloud Platform at JPMorgan Chase within the Corporate Sector AI and Machine Learning Data Platforms team, you will play a key role in designing and delivering secure, high-quality technology solutions that support our data and analytics strategy. You'll work with us to develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. Together, we'll harness the power of artificial intelligence and machine learning to create new opportunities and drive business success. You'll have the chance to collaborate, lead, and grow in a dynamic, inclusive environment.</p><p>
</p><p><b>Job Responsibilities</b></p><ul><li>
Provide technical leadership and guidance to the cloud engineering team.</li><li>
Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.</li><li>
Drive adoption of modern DevEx (Developer Experience) practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.</li><li>
Align platform strategy and roadmaps with business priorities; lead cross-functional initiatives to modernize SDLC practices.</li><li>
Evaluate, integrate, and govern strategic tooling to reduce cognitive load and improve developer experience.</li><li>
Collaborate with development teams to identify and eliminate bottlenecks on the platform.</li><li>
Define and promote paved paths and self-service workflows to streamline developer workflows.</li><li>
Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.</li><li>
Champion adoption of tools that can improve developer productivity through clear documentation, training, office hours, and close engagement with the developer community.</li><li>
Standardize use of AI-assisted coding tools and AI-powered development ecosystems to accelerate development workflows, code generation, and engineering productivity across the organization.</li><li>
Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks built on top of Google ADK, Anthropic SDKs, etc. and related tooling to enable intelligent, scalable platform automation.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience
</li><li>Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).</li><li>
Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).</li><li>
Demonstrated expertise in DevEx (Developer Experience) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).</li><li>
Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.</li><li>
Strong programming skills in Golang or Python, with a solid understanding of software development best practices.</li><li>
Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).</li><li>
Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).</li><li>
Deep understanding of cloud infrastructure design, architecture, and migration strategies.</li><li>
Demonstrated proficiency with AI-assisted coding workflows, including experience with LLM-powered development tools, spec-driven development methodologies, and prompt engineering for software engineering use cases.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
</li><li>Experience implementing multi-cloud architectures and leading end-to-end platform development efforts.</li><li>
Background in designing and developing scalable AI/ML or Data platforms.</li><li>
Experience with automation and workflow orchestration for operational efficiency.</li><li>
Published contributions to open-source or industry-recognized projects.</li><li>
Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and standard agent orchestration tooling.</li><li><p>
Experience with enhancing AI-powered coding ecosystems with enterprise specific tooling to improve developer productivity and platform engineering workflows.</p><p>
</p></li></ul><p><b>FEDERAL DEPOSIT INSURANCE ACT:</b></p><p>
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.</p>
<b>ABOUT US</b><br>
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<br>
<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>
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Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Senior Lead Software Engineer, Cloud Platform

<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 Lead Software Engineer at JPMorgan Chase within Quantitative Execution Strategies Tech, 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 building critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p>
<p><b>Team Overview:</b></p>
<p>The QES (Quantitative Execution Strategies) infrastructure supports the execution of cross-markets intraday trading strategies. It is a large growth area for JP Morgan's markets franchise, and will see significant additional investment over the next year to further our excellence in the business. The team's responsibility includes the design, build and support of the platform. The work requires close collaboration with our front office partners from sales, trading and quantitative research.</p>
<p><b>Job Responsibilities:</b></p>
<ul><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>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>
<li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li>
<li>Acts as a front office developer within the QES technology team.</li>
<li>Collaborates closely with front office teams (trading, structuring) to support the QES platform.</li>
<li>Develops platform and visualization components required by the desk.</li>
<li>Utilizes principal technologies such as Java, Python and TypeScript (React) within the team.</li>
</ul><p><b>Required Qualifications, Capabilities, and Skills:</b></p>
<ul><li>Formal training or certification on software engineering concepts and proficient advanced experience</li>
<li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
<li>Advanced in Python programming language</li>
<li>Excellent analytical skills (i.e. problem solving)</li>
<li>Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders.</li>
</ul><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p>
<ul><li>Experience of working in a front office environment within financial services</li>
<li>Knowledge of Java, Python, Typescript, React</li>
</ul><p></p><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><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.<br>
</div></div><br>
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<b>ABOUT THE TEAM</b>
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<br>
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>

Senior Lead Software Engineer - Python / Java

<div><b>JOB DESCRIPTION</b><br>
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<p>Join Digital Markets Execution Technology (DMET) to shape the future of Execute, our front-office trading platform powering Markets businesses. As a Lead Software Engineer (UI), you will set front-end technical direction and lead hands-on delivery of a latency-sensitive, real-time user experience used directly by traders and sales. You will partner closely with business stakeholders, product specialists, designers, and control partners to build intuitive, high-signal workflows at scale. You will also directly lead a small team of mid-level engineers, fostering their growth and maintaining a high-performing, inclusive team culture. This role emphasizes engineering excellence, operational readiness, and secure, compliant delivery in a fast-paced global environment.</p><p><b>
Job Responsibilities</b></p><ul><li>
Lead the design and delivery of user interface capabilities across Execute, from discovery to production support</li><li>
Set front-end technical direction, including architecture, standards, performance, and testing strategy</li><li>
Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX</li><li>
Drive quality through thorough testing, troubleshooting, and performance optimization</li><li>
Build high-performance, real-time UIs with strong responsiveness and stability</li><li>
Establish and evolve scalable UI architecture, including component libraries and shared platform services</li><li>
Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness</li><li>
Ensure secure, compliant development practices aligned to firm standards</li><li>
Directly manage and mentor a small team of mid-level engineers, providing technical guidance, career development support, and day-to-day coaching to cultivate an inclusive, high-performing team culture</li><li>
Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions</li><li>
Drive 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</li><li>
Apply 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></ul><p><b>
Required Qualifications / Skills</b></p><ul><li>
Hands-on experience building production UIs with React and TypeScript in large-scale applications</li><li>
Strong knowledge of modern front-end engineering, including state management, asynchronous data flows, and UI architecture</li><li>
Expertise in performance optimization, testing strategies, and automation in CI/CD pipelines</li><li>
Experience delivering real-time or data-intensive user experiences</li><li>
Demonstrated technical leadership in setting standards, leading designs, and directly managing or mentoring small teams of mid-level engineers</li><li>
Solid software engineering fundamentals, including OO/design patterns, debugging, and documentation</li><li>
Familiarity with agentic development approaches across the software development lifecycle</li><li>
Strong communication and people skills, with the ability to work effectively in global, cross-functional environments while supporting the day-to-day development and growth of direct reports</li><li>
Ability to tackle design and functionality problems independently</li><li>
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</li><li>
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</li></ul><p><b>
Preferred Qualifications / Skills</b></p><ul><li>
Experience in front-office trading or electronic execution domains</li><li>
Familiarity with financial market concepts and protocols</li><li>
Experience with UI component libraries, advanced data grid patterns, and visualization</li><li>
Exposure to backend-for-frontend patterns, event-driven architectures, and API design collaboration</li><li>
Experience operating UIs in regulated environments with strong auditability and controls</li></ul>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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>

UI Senior Lead Software Engineer - Commodities

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>As a Senior Lead Software Engineer at JPMorganChase within the Commercial &amp; Investment Bank Payments Team, 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.</p><p><b>
Job responsibilities</b></p><p>
</p><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>
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>
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</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></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding Java (Spring boot), Postgress, Kubernetes with well-versed with various design principles such as SOLID, microservices</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 practical experience on developing high performance, scalable and resilient application using Java full stack</li><li>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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</li><li>
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 senior engineers/leads on compliant usage patterns and controls.</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Familiarity with modern front-end technologies and their impact on end-to-end system performance</li><li>
Exposure to CI/CD pipelines and integrating performance testing into automated workflows</li><li>
Experience with containerization and microservices architectures</li><li>
Strong interest in AI/ML-driven performance analytics</li><li>
Knowledge of caching strategies and distributed systems</li></ul>
<b>ABOUT US</b></div>

Senior Lead Software Engineer - Java, Springboot, Kubernetes

<div><b>JOB DESCRIPTION</b><br>
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<p>Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology. You'll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk.</p>
<p>As a <b>Lead Agentic Gen AI / Natural Language Querying Engineer &ndash; Vice President at JPMorgan Chase</b> in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi-agent system design, data science, and NLQ to deliver complex, high-impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business.</p>
<p><b>Job responsibilities:</b></p>
<ul><li>Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources.</li>
<li>Design and execute enterprise-wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types.</li>
<li>Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, guardrails, and NLQ-driven data retrieval and processing.</li>
<li>Guide research on context and prompt engineering techniques to improve prompt-based model performance and NLQ accuracy, utilizing libraries such as LangGraph.</li>
<li>Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration.</li>
<li>Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces.</li>
<li>Write secure, high-quality production code and conduct code reviews.</li>
<li>Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ-enabled solutions.</li>
<li>Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.</li>
<li>Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.</li>
</ul><p><b>Required qualifications, capabilities, and skills:</b></p>
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.</li>
<li>Experience in data science and natural language querying, including experience deploying end-to-end pipelines on AWS.</li>
<li>Strong proficiency in Python.</li>
<li>Hands-on experience in system design, application development, testing, and operational stability.</li>
<li>Experience using LangGraph for multi-agent orchestration and NLQ integration.</li>
<li>Experience with AWS and infrastructure-as-code tools such as Terraform.</li>
</ul><p><b>Preferred qualifications, capabilities, and skills:</b></p>
<ul><li>Strategic thinker with the ability to drive technical vision for business impact.</li>
<li>Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows.</li>
<li>Demonstrated leadership working with engineers, data scientists, and AI practitioners.</li>
<li>Familiarity with MLOps practices and AI pipelines.</li>
<li>Hands-on experience building and maintaining user interfaces for NLQ and data exploration.</li>
</ul><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Senior Lead Software Engineer- Agentic Gen AI / NLP

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
</p><p>As a Senior Lead Software Engineer - Precious Metals / Front Office / Athena at JPMorgan Chase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Tech team, you will be 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Works closely with Trading, Quantitative Research, Sales and Middle Office teams to deliver quality code in a fast paced environment</li><li>
Acts as the regional lead for the Precious Metals and Agricultural products team supporting the regional needs of the precious metals business while remaining aligned with the global team and global priorities.
</li><li>Acts as the direct manager for the NYC based software engineering team, helping drive business results through the team</li><li>
Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, deliver speed, and operation outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patters and automation within the SDLC/TLM toolchain</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale</li><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Promotes and drives cross-functional collaboration with Core Technology teams and Business teams to deliver innovative, scalable solutions and drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise</li><li>
Degree in Computer Science, Information Systems, Math or equivalent training and relevant experience</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Experience in performant, large-scale system development in an object-oriented or functional language such as Python, Java, etc.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, object-oriented programming, full stack development - end to end, quantitative finance, etc.)</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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</li><li>
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 senior engineers/leads on compliant usage patters and controls
</li><li>Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Must have a strong understanding of end-to-end business processes</li><li>
Enthusiastic to keep learning and growing, in technical aptitude and business understanding</li><li>
Previous software engineering team management experience</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Software development experience in commodities, finance, or investment banking preferred, or willingness to rapidly learn the business domain</li><li>
Willingness to become proficient and develop in Python if not already a primary language</li><li>
Ability to collaborate with other technology teams to deliver end to end solutions to the business in a constantly changing environment</li><li>
Excellent interpersonal skills to interact confidently and credibly with business users, to understand and agree business requirements and their prioritization</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<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>
<br>
<b>ABOUT THE TEAM</b>
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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>

Senior Lead Software Engineer - Precious Metals / Front Office / Athena

Avalara

<div>What You'll Do:
<p>
At Avalara, we build cloud-based software that helps businesses manage sales tax and other transaction tax compliance. As a Senior Lead Software Development Engineer, you will lead the architecture and delivery of Avalara&rsquo;s AI-enabled data platform, creating trusted semantic models, scalable pipelines, AI-driven data quality frameworks, and production-grade large language model workflows. This is a senior individual contributor role in a player-coach model, with hands-on work across Snowflake, Snowflake Cortex, dbt, SQL, Python, Airflow, AWS, and AI-native data pipeline design. You will turn complex analytics and AI outcomes into clear insights that influence strategy, improve customer-facing products, and support enterprise decision-making. You will be reporting to Senior Manager, Software Engineering.<br>
This is a #LI-Remote role.</p>
What Your Responsibilities Will Be:
<ul><li>Lead architecture and hands-on delivery of AI-enabled data platform capabilities that support customer products and internal decision-making.</li><li>
Design and maintain scalable data pipelines and shared semantic data models using SQL, Python, dbt, Snowflake, Airflow, and AWS.</li><li>
Build AI-assisted data quality frameworks in dbt, including rule generation, anomaly detection, and automated documentation.</li><li>
Develop and deploy large language model solutions, including Retrieval-Augmented Generation pipelines and agentic workflows, using Snowflake Cortex and enterprise data.</li><li>
Architect pipelines that integrate Snowflake Cortex models, vector search, and modern orchestration to automate analytics and improve customer and internal product experiences.</li><li>
Partner with engineering, product, and business stakeholders to define key performance indicators, curate shared semantic views, and support governed data use.</li><li>
Lead architecture reviews, write production code, mentor engineers, and improve the quality of technical decisions across the platform.</li><li>
Translate complex analytics, AI outputs, trade-offs, and risks into clear recommendations for leaders and cross-functional partners.</li><li>
Apply practical judgment when selecting, testing, and monitoring AI solutions for accuracy, governance, cost, reliability, and measurable business impact.</li><li>
Share AI implementation patterns and responsible AI practices across teams to help raise Avalara&rsquo;s engineering and AI maturity.</li></ul>
What You'll Need to be Successful:
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, engineering, or a related field.</li><li>
10+ years of enterprise experience delivering large-scale cloud data solutions.</li><li>
Expert-level SQL and Python experience building scalable pipelines, semantic models, automation frameworks, and AI-assisted data quality systems.</li><li>
Hands-on experience with Snowflake, dbt, Airflow, AWS, Snowflake Cortex, and AI model integration.</li><li>
Experience building and deploying large language model systems, including Retrieval-Augmented Generation pipelines, prompt engineering, and foundation model fine-tuning using enterprise data.</li><li>
Proven ability to define enterprise metrics, build shared semantic layers, mentor engineers, influence cross-functional partners, and explain technical insights to executive audiences.</li></ul>
Avalara is an AI-first Company:
<div>
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.</div><ul><li><div>
You&rsquo;ll bring experience using AI and AI-related technologies, ready to thrive here.</div></li><li><div>
You&rsquo;ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.</div></li><li><div>
You&rsquo;ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.</div></li></ul>
How We'll Take Care of You:
<p>
Total Rewards</p><p>
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.</p><div></div><div><br>
Health &amp; Wellness<br>
Benefits vary by location but generally include private medical, life, and disability insurance.</div><div></div><div><br>
Inclusive culture and diversity<br>
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.</div><br>
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What You Need To Know About Avalara:
<div>
We&rsquo;re defining the relationship between tax and tech.</div><div></div><div><br>
We&rsquo;ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we&rsquo;re not slowing down until we&rsquo;ve achieved our mission - to be part of every transaction in the world.</div><div></div><div><br>
We&rsquo;re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we&rsquo;ve designed, that empowers our people to win. We&rsquo;ve been different from day one. Join us, and your career will be too.</div><div></div><div><b><br>
We&rsquo;re An Equal Opportunity Employer</b></div><div>
Supporting diversity and inclusion is a cornerstone of our company &mdash; we don&rsquo;t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.</div></div>

Senior Lead Software Development Engineer, AI-Enabled Data Platform

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