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advanced software engineer - salesforce

lead software engineer

Morgan Stanley

<div>We're seeking someone to join our Investment Banking &amp; Global Capital Markets Technology team as a Lead Java Developer in the Advisory Sales &amp; Distribution Super Department to build innovation solutions to support the complex and evolving needs of our businesses in Institutional Securities Group.
 
 
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
 
 
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
 
 
What you'll do in the role:
<ul><li>Drive innovation and excellence in software design and architecture, promoting best practices and ensuring high quality software development.
</li><li>Lead a software engineering team and continue to be hands-on engineer, overseeing project portfolios and deliverables.
</li><li>Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
</li><li>Partner with business leaders to align technology initiatives with organizational goals.
</li><li>Act as a Technical thought leader, staying current on industry trends and advancements to drive continuous improvement.
</li><li>Define and implement strategies for optimizing software development processes and workflows.
</li><li>Provide strategic direction for software engineering function, setting long-term objectives.
</li><li>Evaluate and recommend tools, platforms, and methodologies to improve efficiency.
</li><li>Represent the software engineering function in executive meetings and planning sessions. What you'll bring to the role:
</li><li>Ability to effectively manage multiple functions and guide junior staff and initiatives.
</li><li>Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
</li><li>Ability to analyse and assess technical requirements, risks, &amp; constraints to inform decisions and prioritize tasks accordingly.
</li><li>Proficient in Java software development tools &amp; technologies, strong technical background to be on-hands and guide and support team members.
</li><li>Strong problem-solving skills to address complex technical challenges and drive innovation within the software engineering team.
</li></ul>What you'll bring to the role:
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Demonstrated leadership skills in managing and leading software development teams to deliver high-quality products on time and within budget.
Strong understanding of software development methodologies, such as Agile, Scrum, and DevOps, with the ability to implement best practices.
Excellent communication skills to effectively collaborate with cross-functional teams, stakeholders, and executives.
Proven track record in strategic planning, resource allocation, and project management to drive successful software development initiatives.
At least 6 years' relevant experience would generally be expected to find the skills required for this role.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Lead Software Engineer

Capital One

<div>Lead Software Engineer, Front End
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Front End Software Engineers who are passionate about using cutting-edge open source frameworks with emerging technologies. As a Capital One Lead Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Work with a team of developers with deep experience in distributed microservices and full stack systems</li><li>
Perform software development on Front End Applications leveraging a test-driven development pattern</li><li>
Own the technical design and development of cross-functional, multi-platform application systems</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 4 years of professional software engineering experience (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul>
Preferred Qualifications:<ul><li>
Master's Degree</li><li>
7+ years of experience in at least one of the following: JavaScript, React, Angular, Node, TypeScript, or Java</li><li>
4+ years of experience in open source frameworks</li><li>
1+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Lead Software Engineer 

New York, NY: $215,200 - $245,600 for Lead Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Software Engineer, Front End

<div>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
 
 
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
 
 
Risk Technology supports the aggregation and monitoring of risks across all global business and products. We own cross-asset applications and services to support and enable risk management consolidation, calculation, analysis and reporting, federal marking, model inventory control, and limit setting and monitoring. In addition, these services are used to meet global regulatory requirements.
 
 
What you'll do in the role:
<ul><li>Drive innovation and excellence in software design and architecture, promoting best practices and ensuring high quality software development.
</li><li>Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
</li><li>Partner with business leaders to align technology initiatives with organizational goals.
</li><li>Define and implement strategies for optimizing software development processes and workflows.
</li><li>Provide strategic direction for software engineering function, setting long-term objectives.
</li><li>Evaluate and recommend tools, platforms, and methodologies to improve efficiency.
</li><li>Represent the software engineering function in executive meetings and planning sessions.
</li></ul>What you'll bring to the role:
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
</li><li>Minimum 6 years' relevant software development experience.
</li><li>Demonstrated leadership skills in managing and leading software development teams to deliver high-quality products on time and within budget.
</li><li>Strong understanding of software development methodologies, such as Agile, Scrum, and DevOps, with the ability to implement best practices.
</li><li>Excellent communication skills to effectively collaborate with cross-functional teams, stakeholders, and executives.
</li><li>Proficient in Java software development tools &amp; technologies, strong technical background to be on-hands and guide and support team members.
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Lead Software Engineer - Risk Technology

YipitData

<div>About Us

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers &mdash; ranging from the world's top investment funds to Fortune 500 companies &mdash; depend on to drive high-stakes decisions.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture &mdash; recognized by Inc. as a Best Workplace for three consecutive years &mdash; emphasizes transparency, ownership, and continuous mastery. 


What It's Like to Work at YipitData

YipitData isn't a place for coasting &mdash; it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
<ul>
<li>Ownership That Matters: You'll lead high-impact projects with real business outcomes</li>
<li>Rapid Growth: We compress years of learning into months</li>
<li>Merit Over Titles: Trust and responsibility are earned through execution, not tenure</li>
<li>Velocity with Purpose: We move fast, support each other, and aim high &mdash; always with purpose and intention</li></ul> 


About The Role

Signals is YipitData's B2B spend analytics platform for private equity and growth investors &mdash; helping them track software adoption, revenue, retention, switching, and competitive dynamics across thousands of companies. We're looking for a Tech Lead to own the technical direction of the Signals engineering team and drive the next phase of the product forward.

This is a hands-on leadership role. You'll set the technical vision, make architecture decisions, and write code &mdash; while also unblocking your team, raising the engineering bar, and working directly with product, data, and revenue stakeholders to shape what gets built. You'll lead a small, high-output team of engineers and QA, and be the person accountable for the quality, reliability, and velocity of everything the Signals team ships.

You'll be responsible for production-grade systems that customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator &mdash; both when things are going well and especially when they're not.

The ideal candidate has led engineering teams before, treats AI coding tools as core infrastructure for how they work, and has a track record of shipping products that customers love &mdash; not just features that meet specs.

This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located), one of our office hubs (Austin, Miami, or Mountain View), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. 


As a Tech Lead, You Will
<ul>
<li>Own the technical direction of the Signals platform &mdash; architecture, system design, tech debt strategy, and engineering standards</li>
<li>Lead a team of engineers and QA &mdash; set priorities, unblock work, conduct code reviews, and drive execution</li>
<li>Stay hands-on: you're writing code, shipping features, and debugging production issues alongside your team</li>
<li>Work directly with product, data, revenue, and customers to translate business problems into a technical roadmap</li>
<li>Make the calls on build vs. buy, tradeoffs between speed and quality, and when to invest in infrastructure vs. features</li>
<li>Own production reliability &mdash; you're the first person who cares when something breaks, and you drive the team to fix it fast and prevent it from happening again</li>
<li>Raise the bar for the engineering team through mentorship, tooling improvements, and establishing best practices</li>
<li>Use AI tools (Claude Code, Cursor, Codex) as a daily force multiplier for yourself and your team &mdash; and push the team to adopt AI-native workflows that accelerate output</li></ul> 


You Are Likely To Succeed If
<ul>
<li>You have 6+ years of hands-on software development experience with at least 2 years in a technical leadership role &mdash; leading teams, making architecture decisions, and owning delivery</li>
<li>You have shipped and maintained customer-facing SaaS products &mdash; you understand what it takes to build software that real users depend on</li>
<li>You have strong system design instincts &mdash; you know how to architect systems, define clean interfaces, and make decisions that hold up as complexity grows</li>
<li>You are stack-flexible: comfortable working across Python, TypeScript/React, and cloud infrastructure (AWS, Databricks). You learn new tools fast and don't let unfamiliar tech slow you down</li>
<li>You have an AI-native workflow &mdash; you don't just use AI tools, you've fundamentally changed how you and your team work because of them</li>
<li>You can context-switch between writing code, unblocking a teammate, and presenting a technical tradeoff to a non-technical stakeholder &mdash; all in the same day</li>
<li>You are responsive and reliable &mdash; you take ownership of production systems and communicate proactively, especially under pressure</li>
<li>You lead by example &mdash; your team follows your standard because they see you hold yourself to it first</li>
<li>You hold a Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline</li></ul> 


What We Offer

Our compensation package includes comprehensive benefits, perks, and a competitive salary:
<ul>
<li>Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more</li>
<li>Your growth at YipitData is determined by the impact you make, not by tenure, unnecessary facetime, or office politics</li>
<li>The annual on-target earnings for this position is anticipated to be up to $200K - $230K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks</li></ul> 


This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

Job Applicant Privacy Notice</div>

Tech Lead - Senior Software Engineer

JPMorganChase

<div>JOB DESCRIPTION 
Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products.
As a Senior Lead Software Engineering at JPMorgan Chase within the Employee Platforms, Workforce Experience Technology (WxT) Data and Integrations team, you lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge, coding and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and a drive innovation and solution delivery.
Job responsibilities<ul><li>
Provide hands on delivery of data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
</li><li>Be proficient in all aspects of the data production pipeline are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
</li><li>Bring trends in both test-driven and data-driven development building modular designs that can be auto-repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.</li><li>
Transform traditional HR/EX into modern data product offerings that scales for business needs.</li><li>
Perform as a key member of data engineering scrum teams to achieve functional technology objectives. while influencing peer leaders and senior stakeholders across the business, product, and data technology teams.</li><li>
Partner with Product and Architecture to make strategic decisions that influence teams&rsquo; resources, budget, tactical operations, and the implementation of processes and procedures.</li><li>
Be accountable for SDLC, design patterns and upskilling engineers
</li><li>Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.</li><li>
Carry governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.</li><li>
Advance and support the firm&rsquo;s 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 5+ years applied experience anticipate and solve complex technical items within your domain of expertise.</li><li>
Hands-on Data Engineering development, coding, AI-code tools and techniques, testing, automation</li><li>
Key Technical Skills: Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue/EMR</li><li>
Experience with AI Developer Automation Tools and the use of BI Consumption tools such as: Sigma, Genie, Tableau</li><li>
Experience with Governance using Unity Catalogue and Data Access Governance with Immuta</li><li>
Experience in working in cross-functional teams of technologists.</li><li>
Experience dealing with internet scale volume and size of data.</li><li>
Experience in Big Data technologies handling complex data processing requirements.</li><li>
Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Prior Financial Services experience is preferred.</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&rsquo;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&rsquo; and employees&rsquo; 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 
 
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&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Senior Lead Software Engineer - Data Software Engineering | Workforce and Experience Technology (WXT)

<div>Senior Lead AI Engineer
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li></ul><ul><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer 

McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead AI Engineer

Two Sigma

<div>
 Position Summary
 
 
 Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
 
 
 Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world&rsquo;s most complex economic problems.
 
 
 The Insights team&rsquo;s mission is to harness the power of external crowds to generate actionable, alpha-producing insights for Two Sigma and help monetize them. This cross-functional group designs and builds programs and products that engage networks of research experts across the globe. Our work spans external-facing websites, mobile applications, and APIs on the cloud as well as research and modeling frameworks utilized by our modeling partners. This combined product and platform work enables us to source specialized expertise and continually push the boundaries of how we monetize this rich wealth of information.
 
 
 We are seeking an experienced Software Engineer to serve as Tech Lead for several of the Insights team&rsquo;s flagship initiatives. In this role, you will take end-to-end ownership of several large-scale product and monetization initiatives, guiding projects from concept through delivery. You will play a critical role in shaping the team&rsquo;s technical roadmap, ensuring architectural soundness, scalability, and long-term impact.
 
 
 
 You Will Take On The Following Responsibilities
 
 
 
 <ul>
 <li>
 Drive technical strategy, delivering impactful solutions today while positioning for long-term innovation.
 </li>
 <li>
 Lead cross-functional collaboration with business, product, and modeling partners to enhance and optimize our platforms.
 </li>
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 Take on broader leadership responsibilities, helping shape the team&rsquo;s growth, capabilities, and long-term trajectory.
 </li>
 <li>
 Mentor and coach engineers, fostering both technical mastery and professional growth.
 </li>
 <li>
 Champion team culture and engineering best practices, fostering an environment of curiosity, experimentation, and continuous improvement.
 
 
 </li>
 </ul>
 
 You Should Possess The Following Qualifications
 
 
 
 <ul>
 <li>
 Minimum 1 year of experience required; 7-15 years of experience in software engineering preferred
 </li>
 <li>
 BS or MS degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Experience with a modern web framework, preferably React
 </li>
 <li>
 Demonstrated leadership in driving large, cross‑functional engineering initiatives, including influencing technical direction and fostering collaboration across teams.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to work constructively with product, research, and business partners.
 </li>
 <li>
 Track record of building and operating large‑scale, customer‑facing applications and platforms; experience in public cloud environments (AWS, Azure, GCP) is desirable.
 
 
 </li>
 </ul>
 
 You Will Enjoy The Following Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life &amp; disability insurance
 </li>
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 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup
 
 
 </li>
 </ul>
 The base pay for this role will be between $165,000 and $325,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
 
 
 We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
 
 
 Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
 
 
 If you believe you need an accommodation, please visit our website for additional information.
</div>

Software Engineer, Insights

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