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global head of platform engineering

Northern Trust Corp.

<div>About Northern Trust 
As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world&rsquo;s most successful individuals, families, corporations and institutions. 
 
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. 
 
With more than 135 years of financial experience and over 24,000 partners, we serve the world&rsquo;s most sophisticated clients using leading technology and exceptional service. 
 
 
The global lead for Platform Engineering leads the strategy, development, and operationalization of shared developer tools and foundational services used across Global Engineering and the BU CIO Engineering teams. The role reports to the Global Head of Engineering and is accountable for improving engineering consistency, scalability, security, and reliability by delivering high-quality shared tools and services.
Key responsibilities of the role include:<ul><li>
Own the end-to-end developer experience across build, test, deployment, and runtime by partnering with application engineering leaders across Engineering and BU CIO to understand needs, identify opportunities, and reduce friction across the software development lifecycle.</li><li>
Design, build, and maintain DevSecOps integrations and pipelines to enable efficient, reliable, and predictable software delivery across the firm while ensuring platform stability and resilience.</li><li>
Deliver developer productivity and flow metrics by collecting, integrating, and maintaining data and analytics across disparate systems.</li><li>
Design, build, and maintain AI agents that support the end-to-end SDLC and contribute to more predictable, efficient software delivery.</li><li>
Maintain common shared services and tools, including API gateways, Confluence, and other core engineering platforms.</li><li>
Maintain current and approved open-source libraries and dependencies.</li><li>
Lead the product management function for Platform Engineering by defining the vision, roadmap, and priorities for shared engineering platforms and services in partnership with engineering leaders and key stakeholders.</li><li>
Drive adoption of common standards, tools, and practices across Global Engineering and BU CIO, including:<ul><li>
Establish standards for tooling, platform usage, and service reliability.</li><li>
Modernize legacy engineering tools and workflows.</li><li>
Implement and standardize agile delivery practices in partnership with Scaled Agile coaches, including:<ul><li>
Establish tools, technologies, standards, and best practices to accelerate agile delivery.</li><li>
Own execution of the agile operating model in partnership with Scaled Agile coaches, and continuously adapt processes to improve performance, efficiency, and outcomes.</li><li>
Enhance software engineering productivity through continuous integration and delivery, automation, and innovation.</li><li>
Drive adoption of agile practices and outcomes through tooling, enablement, and measurement.</li></ul></li></ul></li><li>
Partner closely with Security, SRE, Risk, Control, and Architecture teams to embed best practices into shared tooling and platforms.</li><li>
Measure and improve engineering productivity using qualitative feedback and quantitative metrics such as DORA and cycle time.</li><li>
Improve the stability of tools and platforms to increase developer productivity and enhance the overall developer experience.</li><li>
Partner with the business and key technology stakeholders to transform the software delivery platform by infusing modern methods and tools, including AI, to drive efficiency and improve speed to market for the Engineering and BU CIO teams.</li><li>
Be accountable for platform delivery metrics, including stability, velocity, and other measures that demonstrate the success of the platform.</li></ul>
Skills/Qualifications:<ul><li>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
Experience:<ul><li>
20+ years of software engineering experience, including 5+ years in a technical leadership role.</li><li>
Strong background in platform engineering, DevOps, and infrastructure.</li></ul></li><li>
Competencies:<ul><li>
Influence without authority by motivating, inspiring, and guiding others toward defined outcomes without direct reporting relationships.</li><li>
Drive efficiency and results by using data and metrics to set priorities, optimize productivity, and deliver high-quality business outcomes.</li><li>
Strong problem-solving skills, including the ability to solve complex challenges within matrixed teams and fixed resource constraints.</li><li>
Strong business acumen, with the ability to understand how the business creates value and translate strategy and requirements into high-quality solutions.</li><li>
Demonstrated experience applying product management disciplines to internal engineering platforms, including vision setting, roadmap development, prioritization, and stakeholder alignment.</li><li>
Ability to translate business, developer, and platform needs into a clear product strategy, measurable outcomes, and an actionable backlog.</li></ul></li><li>
Knowledge:<ul><li>
Emerging technology trends, including AI, automation, and intelligent workflows.</li><li>
Modern CI/CD practices, cloud-native architectures, and automation tools.</li><li>
Agile engineering and delivery practices.</li><li>
Security frameworks (for example, NIST) and data protection and privacy requirements.</li><li>
SDLC governance and technical debt management.</li><li>
SaaS ecosystems and application portfolio rationalization and modernization.</li><li>
IT operations and service management, including incident management, reliability, disaster recovery, and business continuity.</li><li>
Financial services domain knowledge, including products, services, data, and applications.</li><li>
Awareness of risk, control, and regulatory requirements relevant to financial services technology.</li></ul></li></ul>
The successful candidate will benefit from having:<ul><li>
Experience with application modernization, DevOps, and Site Reliability Engineering (SRE).</li><li>
Experience leading teams through change at scale.</li></ul>
Salary Range:
$240,000 - 375,000
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life &amp; accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. 
Work Authorization 
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). 
 
Working with Us 
As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. 
 
Philanthropy is deeply rooted in Northern Trust&rsquo;s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities. 
 
Reasonable Accommodation 
Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.</div>

Global Head of Platform Engineering

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Lenovo is building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo&rsquo;s cross‑device Personal AI.
 
 
 We are hiring a
 
 Machine Learning Engineer
 
 to own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment on devices.
 
 
 
 Location:
 
 Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
 </li>
 <li>
 Build evaluation frameworks to measure agent reliability and safety across different tasks.
 </li>
 <li>
 Build and maintain RAG systems, vector stores, and external tool integrations.
 </li>
 <li>
 Deploy and scale agent systems in production; translate relevant research into working systems.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) on devices.
 </li>
 <li>
 Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
 </li>
 <li>
 Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
 </li>
 <li>
 Experience with RAG architecture, embedding models, and LLM evaluation methodology
 </li>
 <li>
 Experience with software engineering fundamentals (python and at least one other programming language).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Rust experience for performance-critical inference or runtime components
 
 
 </li>
 </ul>
 The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found on www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Machine Learning Engineer

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Seeking a
 
 Software Engineer
 
 to join our team to help build leading edge software solutions that enable rich AI experiences for multiple downstream applications and devices. You will work closely with various teams to design and own features end-to-end, from backend to frontend. Your designs must be highly scalable and optimized for high-performance use cases.
 
 
 
 Location:
 
 Onsite in Chicago, IL; Hybrid (3 days onsite, 2 days remote)
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Contribute to major initiatives, delivering reliable, high-impact solutions.
 </li>
 <li>
 Design and integrate scalable technical solutions that support multiple business functions in large production environment hosted in Azure.
 </li>
 <li>
 Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
 </li>
 <li>
 Collaborate and contribute on cloud infrastructure and DevOps pipelines within Azure along with ensuring security scanning, and deployment workflows are completed.
 </li>
 <li>
 Partner with product, data, and platform stakeholders to integrate enterprise systems.
 </li>
 <li>
 Help shape future architecture and technical direction of the platform.
 </li>
 <li>
 Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences for millions of users.
 </li>
 <li>
 Utilize programming languages like Java, Node, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker, and a variety of Azure tools and services.
 </li>
 <li>
 Translate business requirements and functional specifications into effective technical designs while assessing impacts to existing systems, processes, and architecture.
 </li>
 <li>
 Develop and maintain enterprise applications using disciplined, modern development practices.
 </li>
 <li>
 Review test strategies and oversee testing to ensure solutions meet business needs with minimal risk.
 </li>
 <li>
 Support successful releases by deploying new modules, upgrades, and fixes to production environments.
 </li>
 <li>
 Troubleshoot and resolve system issues, improving stability and performance.
 </li>
 <li>
 Review updates to application portfolio inventory for accuracy and completeness.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree Computer Science or technical discipline
 </li>
 <li>
 3+ years of professional software engineering experience
 </li>
 <li>
 3+ years of experience in Node.js
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Python and Go
 </li>
 <li>
 2+ years of experience with Azure preferred, or another cloud service
 </li>
 <li>
 2+ years of experience in open-source frameworks
 </li>
 <li>
 2+ years of experience in Agile practices
 
 
 </li>
 </ul>
 The base salary range budgeted for this position is $100,000 - $125,000. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found at www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Software Engineer (Node.js, Python, Go, Azure)

CNA Insurance

<div>You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.
JOB DESCRIPTION:
Essential Duties &amp; Responsibilities
Performs a combination of duties in accordance with departmental guidelines:<div><ul><li>
Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.</li></ul></div><div><ul><li>
Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting</li></ul></div><div><ul><li>
Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling</li></ul></div><div><ul><li>
Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)</li></ul></div><div><ul><li>
Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design</li></ul></div><div><ul><li>
Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.</li></ul></div><div><ul><li>
Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers</li></ul></div><div><ul><li>
Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services</li></ul></div><div><ul><li>
This role is not focused on experimentation alone &mdash; it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability</li></ul></div><div><ul><li>
May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.</li></ul></div><div><ul><li>
May lead or sub-lead the creation of integrated data views based on business or analytics requirements.</li></ul></div><div><ul><li>
May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.</li></ul></div><div><ul><li>
Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.</li></ul></div><div><ul><li>
Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.</li></ul></div><div><ul><li>
May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.</li></ul></div><div><ul><li>
Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.</li></ul></div> 
May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge &amp; Abilities<div><ul><li>
Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.</li></ul></div><div><ul><li>
Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.</li></ul></div><div><ul><li>
Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.</li></ul></div><div><ul><li>
Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.</li></ul></div><div><ul><li>
Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.</li></ul></div><div><ul><li>
Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.</li></ul></div><div><ul><li>
Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.</li></ul></div><div><ul><li>
Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.
</li></ul></div><div>Education &amp; Experience</div><div><ul><li>
Bachelor&rsquo;s degree with Master&rsquo;s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.</li></ul></div><div><ul><li>
Typically 5+ years of experience in data, analytics or application development.</li></ul></div><div><ul><li>
2+ years of coding proficiency in at least one programming language (Python, Java, SQL).</li></ul></div><div><ul><li>
Experience using Agile methods preferred.</li></ul></div><div><ul><li>
Applicable certifications preferred (GCP, Data Engineering).</li></ul>
#LI-KJ1 #LI-HYBRID</div>
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees &ndash; and their family members &ndash; achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA&rsquo;s benefits, please visit cnabenefits.com. 
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page. 
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com</div>

Senior Data AI Engineer

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. 
This position on the Marketing Data &amp; Engineering team will support the implementation of data products. The Marketing Data &amp; Engineering team supports Cat Digital&rsquo;s overall marketing efforts having responsibility for data pipelines and products used to reach our customers where they are in their journey.
This position will be focused around the Digital Intelligence Warehouse. This collection of data and data objects are the foundation for marketing decisions across the enterprise. You will not only be expected to work across multiple cloud database technologies but collaboration with various business &amp; technical teams will be vital. Ideal candidates will have a proven track record of progressive technical responsibility, demonstrated communication skills, and comfort with a rapid-paced environment.
What You Will Do:<ul><li>
Build data ingestion pipelines using approved patterns</li><li>
Implement and document standardized data models</li><li>
Build and document data pipelines required to support those models</li><li>
Work with multiple international teams for overall success of shared goals</li><li>
Execute proofs of concept as needed to prove out solutions</li><li>
Regularly report on initiative status to peers and leadership</li><li>
Standard administration tasks like time reporting, accomplishing training requirements, and task tracking via Azure DevOps</li></ul>
What you will have:
<ul><li>Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.</li><li>
Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.</li><li>
Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.</li><li>
Software Integration Engineering: Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.</li><li>
Data Pipeline Engineering: Extensive knowledge of building and supporting cloud‑based data pipelines; understanding of ingestion, transformation, and orchestration patterns.</li><li>
Cloud Database Proficiency: Working knowledge of cloud database technologies; ability to apply best practices for performance and scalability.</li><li>
Progressive Technical Ownership: Demonstrated progression in technical capabilities and responsibility; ability to execute tasks autonomously while seeking guidance when needed.</li></ul>
Consideration for top candidates:<ul><li>
Experience with web tracking, social, and ad platform data sets</li><li>
Working knowledge of SQL &amp; Python</li><li>
Experience with web based ETL and/or Reverse ETL technologies</li><li>
Experience with Microsoft productivity tools</li><li>
Familiarity with Google Cloud and AWS capabilities</li><li>
Experience with BigQuery and/or Snowflake</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li><li>
This position will require up to 0% travel</li></ul>
#LI
#BI
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Senior Data Engineer, Cat Digital

Stripe

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world's largest enterprises to the most ambitious startups&mdash;use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
 
 
 
 About The Team
 
 
 
 Data Science at Stripe is a vibrant community where data analysts, data scientists, and engineers learn and grow together. In this role, you'll join the team focused on strengthening Stripe's analytics foundation across the company&mdash;setting the technical direction for how analytical data is modeled, stored, governed, and served at scale. This is an infrastructure and platform role, not a business analytics role. You'll operate as a technical leader who shapes the systems, standards, and practices that every analyst and data consumer at Stripe depends on.
 
 
 What you&rsquo;ll do
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead architecture reviews and set analytical standards. Own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale. Define and enforce how analytical data is modeled, stored, and served across the company.
 </li>
 <li>
 Own the hardest cross-cutting analytical problems. Tackle the most complex, multi-team data challenges&mdash;problems that require going arbitrarily deep into unfamiliar domains and coordinating solutions across organizational boundaries.
 </li>
 <li>
 Drive org-wide data quality and consistency. Lead critical data quality initiatives that support executive- and board-level decision-making. Ensure that the metrics and data products used to run the business are reliable, well-defined, and widely adopted.
 </li>
 <li>
 Shape long-term technical vision. Define a multi-year roadmap for analytics infrastructure, including warehouse design, schema standards, metric integration, real-time analytics systems, and performance optimization&mdash;not just executing within these systems, but determining their direction.
 </li>
 <li>
 Raise the technical bar across teams. Uplevel the quality of analytical work through mentorship, architecture reviews, standards setting, and building shared tooling and frameworks that other analysts adopt and depend on.
 </li>
 <li>
 Translate business needs into technical solutions. Partner deeply with leaders across Stripe to identify the highest-priority data problems, then deliver scalable, well-governed solutions with clear adoption plans and measurable impact.
 
 
 
 </li>
 </ul>
 Who you are
 
 
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles&mdash;building data infrastructure, defining metrics, and solving complex analytical problems at scale
 </li>
 <li>
 Deep expertise in SQL, including demonstrated ability to optimize complex queries, debug data pipelines, and work across large, distributed datasets
 </li>
 <li>
 Familiarity with AI-assisted development tools (e.g., Claude Code or equivalent) to accelerate data work, automate repetitive tasks, and improve analytical productivity
 </li>
 <li>
 Proven track record of setting long-term technical vision for analytics platforms&mdash;not just executing within them, but shaping their architecture, governance, and adoption strategy
 </li>
 <li>
 Expertise in warehouse design and metrics infrastructure&mdash;schema design, metric layer integration, performance optimization, and building data products that are consistent and trustworthy at scale
 </li>
 <li>
 Experience leading cross-team or org-wide data initiatives that materially improved data quality, consistency, or accessibility for a broad set of stakeholders
 </li>
 <li>
 Demonstrated ability to raise the technical bar for teams around you&mdash;through mentorship, architecture reviews, standards setting, or building shared tooling that others adopt
 </li>
 <li>
 Strong communication and influence skills&mdash;ability to align senior leaders and cross-functional partners on technical direction, and to communicate complex data problems and recommendations clearly
 </li>
 <li>
 Comfortable operating across organizational boundaries&mdash;proven ability to identify data analytics problems that span multiple teams and drive solutions with technical rigor
 </li>
 <li>
 AI Usage&mdash;proficiency with AI tools to accelerate model development, analysis, and coding
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, or a related technical field (or equivalent experience, 10+ years of demonstrated impact is weighted equally)
 </li>
 <li>
 Experience building or governing a semantic layer or metrics layer (e.g., dbt metrics, Looker LookML, or a custom metrics platform)
 </li>
 <li>
 Experience with distributed data frameworks (Hadoop, Spark) for large-scale data pipeline development and optimization
 </li>
 <li>
 Prior experience at a high-growth internet or software company navigating rapid scale
 
 
 
 </li>
 </ul>
 Hybrid work at Stripe
 
 
 This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
 
 
 In-office expectations
 
 
 Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
 
 
 Working remotely at Stripe
 
 
 A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.
 
 
 Pay and benefits
 
 
 The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 
 
 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
 
 
 Hybrid work at Stripe
 
 
 This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
 
 
 In-office expectations
 
 
 Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
 
 
 Working remotely at Stripe
 
 
 A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.
</div>

Staff Data Analyst

Convey

<div><div>Why p44LSP.ai?

At project44, we believe in better &mdash; and p44LSP.ai is what better looks like for the logistics service provider market.

For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible.

Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers &mdash; freight forwarders, brokers, and 3PLs &mdash; sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters.

This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business &mdash; 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships.

This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly.

The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us.

AI at project44

We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers

If you&rsquo;re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team &ndash; we should talk.

The Role

Most engineers build for customers. FDEs build with them. You'll be embedded directly with high-value LSP accounts &mdash; owning integration architecture, customizing agent workflows, and serving as the ground truth between how LSPs actually operate and how our product team thinks they do. Your job is to transform logistics from a reactive service into a programmable network &mdash; replacing manual workflows with autonomous agent-to-agent coordination. What you learn in the field shapes the roadmap. You ship in weeks, not quarters.

What You'll Work On
<ul>
<li>Own end-to-end integration for dedicated LSP accounts &mdash; configure bi-directional webhooks and event-driven pipelines so AI agents can read, act, and write data into customer TMS, WMS, and ERP systems instantly</li>
<li>Unify disparate customer data into a single actionable signal &mdash; driving dynamic interoperability across core business systems</li>
<li>Customize interfaces and agent logic to fit existing LSP workflows across freight procurement, load tendering, and exception handling &mdash; reducing time-to-value and making adoption feel natural</li>
<li>Feed the right context to agents and debug decisions when they go wrong &mdash; tracing failures back to the specific data point, prompt, or tool use that caused them</li>
<li>Build event-driven pipelines (Kafka/PubSub) that carry agent intent at the scale of millions of logistics events per day</li>
<li>Serve as the ground truth &mdash; we can't build a world-class product in a silo. Your field observations directly inform what gets on the roadmap and when</li>
</ul>
What We're Looking For

Qualifications
<ul>
<li>5+ years in software engineering, solutions engineering, or technical implementation in a customer-facing role</li>
<li>Mastery of API-first design and bi-directional webhook configuration</li>
<li>Experience with event-driven architecture and stream processing (Kafka, PubSub, or similar)</li>
<li>Hands-on integration experience with TMS, WMS, or ERP systems</li>
<li>Strong debugging skills across distributed, agent-driven workflows</li>
<li>Deep domain knowledge in logistics &mdash; freight procurement, load tendering, carrier management, and exception handling. LSP customers don't trust engineers who don't understand their world. You need to speak their language to earn the right to change how they work.</li>
</ul>
Nice to Have
<ul>
<li>Experience with agentic AI systems &mdash; context feeding, prompt engineering, tool invocation, stateful agents</li>
<li>Prior experience in a forward-deployed or field engineering role</li>
<li>Containerization and orchestration (Docker, Kubernetes)</li>
</ul>
How You Work
<ul>
<li>You take ownership of outcomes, not just deliverables</li>
<li>You bring back what you see in the field and use it to make the product better</li>
<li>You move fast, iterate in the open, and don't wait for perfect conditions</li>
<li>You can translate technical complexity to both engineers and LSP operators without losing either audience</li>
</ul>
Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.

In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters 3 days a week. Together, we&rsquo;re building something extraordinary&mdash;learn, grow, and thrive in our fast-paced, transformative environment.

Diversity &amp; Inclusion

At project44, we're designing the future of how the world moves. As we work to deliver a truly world-class product, we're intentionally building teams that reflect the unique communities we serve. We're focused on creating a company where all team members can bring their authentic selves to work every day.

project44 is an equal opportunity employer. If you share our values and passion for the future of logistics, we'd love to review your application. Even if you don't meet 100% of the requirements, please consider applying &mdash; studies show you can still be a strong candidate at 50%.

For any accommodation needed during the hiring process, please email recruiting@project44.com.</div></div>

Senior Forward Deployed Engineer

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