lead software engineer

InvestCloud, Inc

<div>About the Role

We are building a green field next-generation platform for private markets. We are at an early stage of the build and looking for Lead Software Engineers to partner closely with the VP of Engineering to design and deliver foundational capabilities. This is a hands-on role for someone who wants to help shape the architecture, standards, and engineering culture of a new platform while leveraging modern coding practices to deliver high-quality code and infrastructure.

How you will provide meaningful contributions:
<ul>
<li>Design and build backend services for the platform, primarily in Go, running on AWS with Postgres as a core data store.</li>
<li>Own features and services end-to-end: from shaping requirements and technical design through implementation, testing, deployment, and operational support, including taking responsibility for how they run in production.</li>
<li>Provide technical leadership for key services: leading design discussions, driving architectural decisions, and mentoring other engineers through pairing and code review.</li>
<li>Help define and evolve the target state architecture for the platform: service boundaries, data models, integration patterns, and reliability/observability standards.</li>
<li>Use AI tooling (e.g. Claude and similar) as a force multiplier to accelerate discovery, prototyping, and implementation, while maintaining a high bar for code quality, security, and correctness.</li>
<li>Collaborate with product, operations, and other engineering teams to integrate the platform with upstream and downstream systems, and to model private markets workflows effectively.</li>
<li>Contribute to and improve engineering practices across the team: automated testing, code review, design documentation, CI/CD, monitoring, and incident response.</li>
<li>Work effectively in an early-stage environment with evolving requirements, helping to shape our engineering processes, tooling, and standards as we scale the platform.</li>
</ul>
Basic Qualifications for Consideration:

We are language-agnostic in principle, but the current stack includes:
<ul>
<li>Languages: Go (primary), with room for the right tool for specific problems.</li>
<li>Infrastructure: AWS, Kubernetes.</li>
<li>Data: Postgres as a core relational store.</li>
<li>APIs: gRPC and HTTP-based services.</li>
<li>Workflow orchestration: Temporal.</li>
<li>Tooling: GitHub Actions, infrastructure as code, observability tooling.</li>
</ul>
You don&rsquo;t need prior experience with every technology above, but you should be comfortable learning and working across this kind of stack.

You should have:
<ul>
<li>Significant experience as a Lead Software Engineer (or equivalent), building and operating backend systems in production.</li>
<li>Deep experience in at least one modern backend language (Go, Java, C#, etc.), and an interest in working with Go day-to-day.</li>
<li>Strong understanding of distributed systems, service design, and API design.</li>
<li>Practical experience with relational databases, ideally Postgres: schema design, performance considerations, and migration strategies.</li>
<li>Track record of owning problems end-to-end: engaging with stakeholders, clarifying requirements, making design trade-offs, and delivering working software into production.</li>
<li>Comfortable working with and evaluating AI tooling in your workflow (e.g. for ideation, code generation, test generation, or documentation), while retaining strong engineering judgement and maintaining quality.</li>
</ul>
Ideally you will also be able to demonstrate:
<ul>
<li>Experience in private markets, capital markets, asset management, or adjacent financial domains.</li>
<li>Experience working in an early-stage or 01 environment, where architecture, tooling, and processes are still being defined.</li>
</ul>
Experience with:
<ul><li>Document generation workflows, e-signature platforms, or regulated operational processes.</li>
<li>Infrastructure-as-code and AWS-based platforms.</li>
<li>Event-driven architectures, workflow engines, or orchestration systems (e.g. Temporal)</li>
</ul>
About InvestCloud

InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company&rsquo;s clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), the company is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions, complemented by a dynamic data warehouse, which scale across the complete wealth continuum. In 2024, InvestCloud was named CNBC World&rsquo;s Top Fintech Company, a proof point of the company&rsquo;s commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world. For more information, visit InvestCloud.com (https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Finvestcloud.com%2F&amp;data=05%7C02%7Chjacobsen%40investcloud.com%7Ced84e5c3e8524e4d5c1e08dce318b0e3%7C134fa738eba84721a959151561c6c68e%7C0%7C0%7C638634942404266514%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=MWVDvATUCh92zSkL%2F9PonMNS3hr8Zqp2xaVJmF4Vbx8%3D&amp;reserved=0).

Our Values
<ul>
<li> Client Connected</li>
<li> Human Centered
 </li><li>Technology Forward</li>
<li> Respect + Integrity
 </li><li>Excellence</li>
</ul>
Compensation &amp; Benefits
<ul>
<li> Competitive base salary</li>
<li> Discretionary bonus</li>
<li> Excellent pension, private medical, life assurance</li>
<li> Hybrid working model</li>
<li> 28 days holiday plus bank holidays</li></ul> 


The actual salary will vary based on the applicant&rsquo;s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant&rsquo;s geographic location.

#LI-BH1</div>

Lead Software Engineer

LSEG (London Stock Exchange Group)

<div>LSEG Data &amp; Analytics is one of the world&rsquo;s largest providers of financial markets data and infrastructure. With over 40,000 customers and 400,000 end users across approximately 190 markets, we are an essential partner to the global financial community and redefining the future of data in financial services. We enable customers to draw crucial insights through data, feeds, analytics, AI and workflow solutions.
Our engineers design, develop and deliver the products and services that reimagine how our industry works. Driving innovation through digitalisation and AI, we deliver accelerated impact and excellence for customers every day.
The Opportunity
We are seeking passionate software engineers from mid-level to lead to help us build robust, enterprise-grade solutions that drive real-world impact.
Our problems are complex from building AI-powered analytics that are constantly evolving, to challenges that define modern finance, giving engineers the opportunity to stretch their craft and shape solutions that matter.
Our software engineers have a strong appetite for innovation, new technologies, and AI, both in how we accelerate engineering and in how we create smarter, more valuable experiences for our customers. We encourage curiosity, experimentation, and continuous learning, giving our teams the opportunity to solve complex challenges at scale.
What We Look For
We place great value on technical excellence and a drive for continuous learning.<ul><li>
Experienced Software Engineers with one of the following technologies &ndash; Java, Python, C++ or C#</li><li>
Strong experience with CI/CD, unit testing framework and automation (testing/deployment) in cloud platforms such as AWS or Azure</li><li>
Curiosity about AI and a strong interest in how emerging technologies can be applied to solve complex software engineering problems.</li><li>
Prior Financial Services or Big Tech experience preferred</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering and related field or relevant experience</li></ul><ul><li>
Excellent problem-solving skills and a proactive approach to identifying and resolving issues</li><li>
Willingness to learn and work with new technologies across the full stack</li><li>
Strong teamwork and communication skills, with the ability to collaborate optimally with cross-functional teams across multiple regions and timezones</li></ul>
Career Stage:
Manager
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div>

JPMorganChase

<div>JOB DESCRIPTION 
 
 
As a Lead Software Engineer at JPMorganChase within the CIB &ndash; Markets Technology, 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities<ul><li>
Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine approaches to build solutions and break down complex technical problems.</li><li>
Develop secure, high-quality production code, and review and debug code written by others.</li><li>
Drive team adoption of enterprise-authorized AI-assisted engineering practices 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 (SDLC) toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability and resiliency of software applications and systems.</li><li>
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.</li><li>
Lead and contribute to communities of practice across Software Engineering; promote awareness and use of new and leading-edge technologies aligned to enterprise standards.</li><li>
Foster a team culture of diversity, opportunity, inclusion, and respect.</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Formal training or certification on software engineering concepts and advanced applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced proficiency in one or more programming languages (e.g., Java).</li><li>
Proficient in all aspects of the SDLC and advanced understanding of agile methodologies and practices, including CI/CD, Application Resiliency, and Security.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., coding, code review, test acceleration, troubleshooting), including 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><li>
In-depth knowledge of the financial services industry and its IT systems.</li><li>
Practical cloud-native experience at scale.</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Experience with emerging technologies and architectural patterns.</li><li>
Strong communication and collaboration skills; ability to mentor and guide junior engineers.</li><li>
Familiarity with regulatory and compliance requirements in financial services.</li><li>
Experience working in global, cross-functional teams.</li><li>
Passion for continuous learning and professional development; ability to drive innovation and influence technology strategy.</li></ul> 
ABOUT US
 
 
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. 
<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. 
</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>

Java Lead Software Engineer

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation &mdash; at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands-on engineer with deep AI and software development expertise who can independently set and drive a technical agenda &mdash; building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high-calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally.
Responsibilities
<ul><li>Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.</li>
<li>Build and integrate AI and Machine Learning solutions into core XVA workflows &mdash; applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.</li>
<li>Take end-to-end ownership of technology projects &mdash; from initial design and development through to production release &mdash; coordinating across engineering, business, and operations teams to keep projects on track.</li>
<li>Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked.</li>
<li>Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well-structured solution designs, and working software.</li>
<li>Drive Agile delivery practices across cross-functional and distributed teams, facilitating sprint planning, stand-ups, retrospectives, and release coordination.</li>
<li>Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects.</li>
<li>Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability &mdash; particularly in modern engineering practices and AI tooling.</li>
</ul>Required Qualifications &amp; Skills
<ul><li>Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment.</li>
<li>Hands-on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities.</li>
<li>Ability to independently own and drive a technical agenda &mdash; setting direction, making architectural decisions, and managing project outcomes without requiring close oversight.</li>
<li>Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real-world constraints.</li>
<li>Domain knowledge in XVA (X-Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders.</li>
<li>Clear, confident communication skills &mdash; able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related discipline.</li>
</ul>Beneficial Skills &amp; Qualifications
<ul><li>Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.</li>
<li>Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.</li>
<li>Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.</li>
</ul>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
What we&rsquo;ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul>Visit our About Us | Culture, Values &amp; Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
#LI-AP2
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Lead Software Engineer (XVA) - VP

<div>JOB DESCRIPTION 
 
 
Job Description: 
 
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. 
 
As a Lead Software Engineer - Data &amp; AI at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects &ndash; and depending on your strengths and interests, you'll have the opportunity to move between them. 
 
While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique &ndash; and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference &ndash; on us as a company, and on our clients and business partners around the world.
 
 
Job responsibilities:<ul><li>
Design, build, and maintain scalable data platforms and pipelines that support analytics and AI/ML use cases.</li><li>
Own and optimise Retrieval-Augmented Generation (RAG) pipelines to enable LLMs to safely and accurately use enterprise data.</li><li>
Implement and integrate GenAI capabilities using platforms such as AWS Bedrock, Google Vertex AI, Azure AI, or equivalent services.</li><li>
Develop robust data processing workflows using batch and streaming systems.</li><li>
Design and implement testing strategies across data and AI systems, including unit, integration, end-to-end, and performance testing.</li><li>
Ensure solutions meet enterprise standards for security, privacy, compliance, and governance.</li><li>
Collaborate with data, platform, and product teams to deliver reliable and scalable data and AI services.</li>
Mentor team members on engineering best practices, system design, and maintainable software development. 
<li>
</li></ul>Preferred qualifications, capabilities and skills<ul><li>
Strong proficiency in Java or JVM-based programming languages &amp; good working knowledge of python.</li><li>
Experience building and operating data pipelines and analytical systems using technologies such as Google BigQuery, Amazon Athena, or ClickHouse.</li><li>
Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink.</li><li>
Experience with messaging and streaming systems such as Apache Kafka or Apache Pulsar.</li><li>
Experience working with cloud-based platforms (AWS, GCP, or Azure) and distributed systems architectures.</li><li>
Familiarity with cloud-native GenAI platforms such as Vertex AI, AWS Bedrock, or Azure OpenAI.</li><li>
Strong understanding of containerization and orchestration technologies such as Docker and Kubernetes.</li><li>
Understanding of Retrieval-Augmented Generation (RAG) systems and AI-assisted application architectures.</li><li>
Familiarity with embeddings, semantic search, vector databases, and context window limitations in LLM systems.</li><li>
Exposure to agent-based architectures and emerging protocols such as the Model Context Protocol (MCP).</li><li>
Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) 
 
#ICBCareer #ICBEngineering</li></ul>
ABOUT US
 
 
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. 
<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. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Lead Software Engineer - Data & AI

<div>JOB DESCRIPTION 
 
 
As a Lead Software Engineer at JPMorganChase within Public Cloud Engineering &ndash; Infrastructure Platforms, 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.
Job Responsibilities<ul><li>
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
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</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>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Promotes engineering excellence through knowledge-sharing (e.g., communities of practice), and contributes to a culture of inclusion, respectful collaboration, and continuous improvement</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced in one or more programming language(s) (e.g., Python, Java, Go, Rust)</li><li>
Demonstrated experience leading effective use of enterprise-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><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical cloud native experience</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience with compliance as code and automated controls testing</li><li>
Proficiency with enterprise-authorized AI coding assistants</li></ul>
ABOUT US
 
 
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. 
<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. 
</div></div> 
 
ABOUT THE TEAM
 
 
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>

Lead Software Engineer - Public Cloud Engineering

<div>JOB DESCRIPTION 
 
 
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.
Job Responsibilities<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>
Required Qualifications / Skills<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>
Preferred Qualifications / Skills<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>
ABOUT US
 
 
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. 
<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. 
</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>

UI Senior Lead Software Engineer - Commodities

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