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JPMorganChase

<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>
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- 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. 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>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive 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>
Apply 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>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</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>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</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>
<br>
<br>
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

<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>
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded Cards Team, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p><b>
Job responsibilities</b></p><div><div><ul><li><div>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
</div></li></ul></div><div><ul><li><div>Develops secure and high-quality production code, and reviews and debugs code written by others&mdash;leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.
</div></li></ul></div><div><ul><li><div>Drives decisions that influence product design, application functionality, and technical operations and processes.
</div></li></ul></div><div><ul><li><div>Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.
</div></li></ul></div><div><ul><li><div>Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.
</div></li></ul></div><div><ul><li><div>Owns and operates systems that run 24x7 at high traffic scale&mdash;including on-call responsibilities, incident response, and post-mortem analysis&mdash;with a strong bias toward proactive reliability improvements over reactive firefighting.
</div></li></ul></div><div><ul><li><div>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
</div></li></ul></div><div><ul><li><div>Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.
</div></li></ul></div><div><ul><li><div>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.
</div></li></ul></div><div><ul><li><div>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.
</div></li></ul></div></div><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced in the Java programming language and associated ecosystem.</li><li>
Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code&mdash;and the judgment to validate, refactor, and take ownership of AI-generated output.</li><li>
Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.</li><li>
Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes&mdash;including experience with SLOs, alerting, capacity planning, and graceful degradation.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).</li><li>
Ability to tackle design and functionality problems independently with little to no oversight.</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></p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience with banking and credit card ecosystems
</li><li>AWS Certification</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><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><p></p><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></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Sr Lead Software Engineer:Java/AI

Butterfly Network

<div><h2 class="jobSectionHeader"><b>Company Description</b></h2>
<p>
Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip&trade; semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market &ndash; commercializing the world's first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3&trade;. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI&trade;) and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden&trade;, its software development kit and AI partnership initiative.</p>
<p>
In addition to its medical imaging products, Butterfly Embedded&trade; is the Company's Ultrasound-on-Chip&trade; licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded&trade;, partners can build and scale novel ultrasound applications powered by Butterfly's proprietary semiconductor chip and software platform. Butterfly's innovations have been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions and Fast Company's World Changing Ideas, among other achievements.</p>
<p>
We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together!</p>
<h2 class="jobSectionHeader"><b>
Job Description</b></h2>
<p>
We're looking for a Staff Site Reliability Engineer to raise the bar for how we observe and operate our production cloud platform. Our cloud platform powers clinical workflows on top of one of the largest ultrasound image repositories in the world. In this role you'll be a hands-on technical contributor who leads by execution.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Own observability end to end. Evolve and streamline our metrics, logs, and distributed-tracing strategy. Building telemetry standards that give every team a clear, real-time picture of production health</li>
<li>Drive reliability through SLOs. Establish meaningful service-level objectives with product and engineering teams, and use error budgets to balance velocity against stability.</li>
<li>Lead incident response. Help set the standards for our incident response feedback loop. Manage the on-call rotations for production systems, respond to incidents with calm and rigor, manage blameless postmortems &ndash; then systematically reduce toil.</li>
<li>Engineer for reliability. Operate and improve our Kubernetes/EKS workloads on AWS. Build automation and tooling that removes manual operational work and improves developer productivity.</li>
<li>Be a force multiplier. Mentor engineers on operational excellence, set standards for how services are built to be observable and reliable, and influence architecture decisions across teams.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<p>
Baseline skills/experiences/attributes:</p>
<ul>
<li>8+ years of managing production systems</li>
<li>Deep, hands-on production experience with AWS and Kubernetes</li>
<li>Strong programming/scripting skills and experience building operational automation</li>
<li>Proven ownership of a full stack observability platform (NewRelic/Datadog/etc)</li>
<li>A track record of leading incident response and delivering improvements in reliability</li>
<li>Clear written and verbal communication skills</li>
<li>Strong desire for being a mentor to others</li>
</ul>
<p>Ideally, you also have these skills/experiences/attributes (but it's ok if you don't!):</p>
<ul>
<li>Background operating in a highly regulated or compliance-sensitive environment (e.g., HIPAA, SOC 2, FedRAMP, SaMD, etc).</li>
<li>Background in technical Healthcare Protocols (DICOM, HL7, FHIR) and systems integrations (PACS, VNA, EMR, etc)</li>
</ul><h2 class="jobSectionHeader"><b>Values</b></h2>
<p>
Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in&hellip;</p>
<ul>
<li>Patient-Centric Innovators: Our mission is THE mission.</li>
<li>Empowered to Impact: Every voice matters.</li>
<li>One Team, One Goal: Unity fuels progress.</li>
<li>Growth Champions: We embrace challenges.</li>
<li>Action-Oriented Achievers: We follow through, every time.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Location</b></h2>
<p>
Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers.</p>
<p>
This is a hybrid position (2 - 3 days a week in office) and will be based out of our office in New York City, NY.</p><br>
<h2 class="jobSectionHeader"><b>
Benefits and Perks</b></h2>
<ul><li>Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis.</li>
<li>Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs.</li>
<li>401k plan and match - we facilitate your retirement goals.</li>
<li>Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP)</li>
<li>Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact</li>
<li>Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work</li>
<li>Competitive salaried compensation - we value our employees and show it</li>
<li>Equity - we want every employee to be a stakeholder</li>
<li>The opportunity to build a revolutionary healthcare product and save millions of lives!</li></ul><br>
<p></p>
<p><b>
Compensation</b></p>
<p>
Our estimated salary for this role based in NYC is around $190,000 - $210,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand.</p><p></p><p><b><br>
Candidates must be authorized to work in the United States. Butterfly Network will not provide immigration sponsorship of any kind for this position, including but not limited to H-1B, TN, O-1, L-1, or green card sponsorship (this includes applicants that are in the process of obtaining a greencard), now or in the future.</b></p>
<p>
Butterfly Network does not accept agency resumes.</p>
<p>
Butterfly Network is an E-Verify Company.</p>
<p>
Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.</p>
<p>
Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedur</p><br>
<p></p>
<p>
#LI-KG</p>
<p>
#KG-LI</p></div><p></p>

Staff , Site Reliability Engineer - Cloud Platform

HARVEY

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>New York</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Engineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$161.3K &ndash; $241.9K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div><p><i>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></p></div></div></div>
<br><div><h1 class="jobSectionHeader"><b>Why Harvey</b></h1>
<p>At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p>
<p>This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p>
<p>Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.</p>
<p>At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p>
<p></p><h1 class="jobSectionHeader"><b>Role Overview</b></h1>
<p>Harvey is building the AI platform trusted by the world&rsquo;s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.</p>
<p>We&rsquo;re looking for a Production Engineer to help build and operate Harvey&rsquo;s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You&rsquo;ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.</p>
<p>In this role, you&rsquo;ll improve the reliability, scalability, security, and efficiency of Harvey&rsquo;s infrastructure platform. You&rsquo;ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You&rsquo;ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey&rsquo;s rapid growth.</p>
<p>At Harvey, we value Decisiveness, Simplicity, and the belief that Job&rsquo;s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.</p>
<p></p><h1 class="jobSectionHeader"><b>What You'll Do</b></h1>
<h2 class="jobSectionHeader"><b>Infrastructure Engineering &amp; Technical Leadership</b></h2>
<ul><li><p>Design, build, and operate the production infrastructure that powers Harvey&rsquo;s products and AI workloads.</p>
</li><li><p>Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.</p>
</li><li><p>Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.</p>
</li><li><p>Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.</p>
</li><li><p>Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.</p>
</li><li><p>Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.</p>
</li></ul><h2 class="jobSectionHeader"><b>Infrastructure Foundation &amp; Production Operations</b></h2>
<ul><li><p>Build and operate Harvey&rsquo;s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.</p>
</li><li><p>Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.</p>
</li><li><p>Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.</p>
</li><li><p>Operate and continuously improve Harvey&rsquo;s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.</p>
</li><li><p>Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.</p>
</li><li><p>Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.</p>
</li><li><p>Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.</p>
</li><li><p>Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.</p>
</li><li><p>Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>What You Have</b></h1>
<ul><li><p>5+ years of software, infrastructure, site reliability, or production engineering experience.</p>
</li><li><p>Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.</p>
</li><li><p>Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.</p>
</li><li><p>Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.</p>
</li><li><p>Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.</p>
</li><li><p>Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.</p>
</li><li><p>Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.</p>
</li><li><p>Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.</p>
</li><li><p>A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.</p>
</li><li><p>Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.</p>
</li><li><p>A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.</p>
</li></ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li><p>Experience supporting AI/ML or LLM infrastructure at scale.</p>
</li><li><p>Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.</p>
</li><li><p>Experience with multi-cloud infrastructure or hybrid cloud environments.</p>
</li><li><p>Experience building internal platforms or developer tooling that improves engineering velocity and production safety.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>Compensation</b></h1>
<p>$161,300 - $241,900 USD</p>
<p></p><h3 class="jobSectionHeader"><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices </b><b>here</b><b>.</b></h3>
<p>#LI-AN2</p>
<p></p><p><i>Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p>
<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Senior Software Engineer, Production Engineering

Capital One

<div>Lead Machine Learning Engineer, Card Tech<p></p><p>
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.</p><p></p><p>
What You&rsquo;ll Do:</p><p>
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:</p><ul><li><p>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</p></li><li><p>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</p></li><li><p>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</p></li><li><p>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</p></li><li><p>
Retrain, maintain, and monitor models in production</p></li><li><p>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</p></li><li><p>
Construct optimized data pipelines to feed ML models</p></li><li><p>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</p></li><li><p>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</p></li><li><p>
Use programming languages like Python, Scala, or Java</p></li></ul><p></p><p>
Basic Qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</p></li><li><p>
At least 4 years of experience programming with Python, Scala, or Java</p></li><li><p>
At least 2 years of experience building, scaling, and optimizing ML systems</p></li></ul><p></p><p>
Preferred Qualifications:</p><ul><li><p>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</p></li><li><p>
3+ years of experience building production-ready data pipelines that feed ML models</p></li><li><p>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</p></li><li><p>
2+ years of experience developing performant, resilient, and maintainable code</p></li><li><p>
2+ years of experience with data gathering and preparation for ML models</p></li><li><p>
2+ years of people leader experience</p></li><li><p>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</p></li><li><p>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</p></li><li><p>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</p></li><li><p>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</p></li><li><p>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</p></li></ul><p></p><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Lead Machine Learning Engineer, Card Tech

Alvarez & Marsal

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

FinOps & Cloud Cost Optimization Lead, Digital & Technology Services

BetterUp

<div>
 <em>
  Let&rsquo;s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
  <br/>
  <br/>
 </em>
 We do. We can&rsquo;t cram it all in here, but you&rsquo;ll start noticing it from the first interview.
 <br/>
 <br/>
 Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you&rsquo;ve ever met, and most importantly, work that matters.
 <br/>
 <br/>
 <strong>
  Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
  <br/>
  <br/>
 </strong>
 If that sounds exciting&mdash;and the job description below feels like a fit&mdash;we really should start talking.
 <br/>
 <br/>
 <em>
  We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.
  <br/>
  <br/>
 </em>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 BetterUp&rsquo;s GTM Data &amp; Operations team is investing in the infrastructure, intelligence, and automation that powers our go-to-market engine. As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI&mdash;building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success teams move faster, make smarter decisions, and drive measurable business impact. This is a high-impact role for someone who thrives when technology and strategy meet.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineering &amp; Infrastructure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
  </li>
  <li>
   Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
  </li>
  <li>
   Establish and enforce data quality standards, documentation practices, and governance frameworks to ensure trustworthy data at scale.
  </li>
  <li>
   Develop and maintain dbt models, SQL transformations, and Python scripts that power self-serve reporting and downstream analysis.
  </li>
  <li>
   Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Applied AI for GTM
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
  </li>
  <li>
   Partner with Sales, Marketing, and RevOps stakeholders to identify where AI can automate workflows, surface insights, and unlock new capacity.
  </li>
  <li>
   Integrate LLMs and generative AI tooling into GTM systems to streamline operations and accelerate decision-making.
  </li>
  <li>
   Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders.
  </li>
  <li>
   Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
  </li>
  <li>
   Coach teammates through AI adoption, helping them build new capabilities and overcome resistance to change.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  If You Have Some or All of the Following, Please Apply
  <br/>
  <br/>
 </strong>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles.
  </li>
  <li>
   Strong proficiency in Python and SQL.
  </li>
  <li>
   Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
  </li>
  <li>
   Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
  </li>
  <li>
   Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.).
  </li>
  <li>
   Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context.
  </li>
  <li>
   Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.).
  </li>
  <li>
   Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics.
  </li>
  <li>
   Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
  </li>
  <li>
   Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot &rarr; Salesforce &rarr; Snowflake &rarr; BI layer) and understand how changes in one system ripple across the stack.
  </li>
  <li>
   Strong communication skills with the ability to translate complex technical work into business impact.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field&mdash;or equivalent practical experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience in a Revenue Operations or GTM Analytics function at a B2B SaaS company.
  </li>
  <li>
   Hands-on experience building with LLMs or deploying generative AI solutions in a production environment.
  </li>
  <li>
   Hands-on experience with decoupled or "headless" semantic layers (Cube, Snowflake Cortex etc.)
  </li>
  <li>
   Track record of working in a high-growth startup or scale-up environment where priorities evolve quickly.
  </li>
  <li>
   Hands-on experience with dbt for data transformation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI at BetterUp
  <br/>
  <br/>
 </strong>
 Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We&rsquo;re looking for teammates who are excited to evolve alongside technology&mdash;people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work.
 <br/>
 <br/>
 <strong>
  As an AI / Data Engineer, you will be expected to:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
  </li>
  <li>
   Set measurable AI improvement objectives based on functional strategy with minimal manager direction.
  </li>
  <li>
   Ensure failed AI experiments generate documented learnings that inform future decisions and prevent rework.
  </li>
  <li>
   Make decisions about AI processes and tools that impact your direct team, neighboring teams, and cross-functional partners.
  </li>
  <li>
   Re-architect team processes to incorporate AI at scale&mdash;automated reporting, intelligent workflow routing, systems building.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  During our interview process, you&rsquo;ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. We encourage all candidates to share examples of how they&rsquo;ve used AI tools in their work.
  <br/>
  <br/>
 </em>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
 <br/>
 <br/>
 <ul>
  <li>
   Access to BetterUp coaching; one for you and one for a friend or family member
  </li>
  <li>
   A competitive compensation plan with opportunity for advancement
  </li>
  <li>
   Medical, dental, and vision insurance
  </li>
  <li>
   Flexible paid time off
  </li>
  <li>
   All federal/statutory holidays observed
  </li>
  <li>
   4 BetterUp Inner Work Days
  </li>
  <li>
   5 Volunteer Days to give back
  </li>
  <li>
   Learning and Development stipend
  </li>
  <li>
   Company wide Summer &amp; Winter breaks
  </li>
  <li>
   Year-round charitable contribution of your choice on behalf of BetterUp
  </li>
  <li>
   401(k) self contribution
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don&rsquo;t hesitate to reach out&mdash;we encourage everyone interested in joining us to apply.
  <br/>
  <br/>
 </em>
 BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 <br/>
 <br/>
 At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
 <br/>
 <br/>
 <strong>
  Base Salary Range For This Role Is
  <br/>
  <br/>
 </strong>
 $133,000- $185,000
 <br/>
 <br/>
 <em>
  We value your privacy. Your personal data will be processed in accordance with our
 </em>
 <em>
  Privacy Policy
 </em>
 <em>
  . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to
 </em>
 <em>
  support@betterup.co
  <br/>
  <br/>
 </em>
</div>


AI Data Engineer

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