data engineer

data scientist

data analyst

senior data engineer

senior data scientist

ai data engineer

BetterUp

<div>
 
 Let&rsquo;s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
 
 
 
 We do. We can&rsquo;t cram it all in here, but you&rsquo;ll start noticing it from the first interview.
 
 
 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.
 
 
 
 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.
 
 
 
 If that sounds exciting&mdash;and the job description below feels like a fit&mdash;we really should start talking.
 
 
 
 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.
 
 
 
 
 The Opportunity
 
 
 
 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.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Data Engineering &amp; Infrastructure
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Applied AI for GTM
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 If You Have Some or All of the Following, Please Apply
 
 
 
 
 Required
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 AI at BetterUp
 
 
 
 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.
 
 
 
 As an AI / Data Engineer, you will be expected to:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 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.
 
 
 
 
 Benefits
 
 
 
 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.
 
 
 <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
 
 
 </li>
 </ul>
 
 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.
 
 
 
 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.
 
 
 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.
 
 
 
 Base Salary Range For This Role Is
 
 
 
 $133,000- $185,000
 
 
 
 We value your privacy. Your personal data will be processed in accordance with our
 
 
 Privacy Policy
 
 
 . 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
 
 
 support@betterup.co
 
 
 
</div>

AI Data Engineer

Landing Point

<div>
 
 Company Overview:
 
 
 
 A global investment firm with a rich history in discretionary macro trading and significant capabilities in model-driven and systematic investment approaches is seeking a Software Engineer for their AI Team. This role will focus on evaluating, distributing, and maintaining AI tools across the firm.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Establish, iterate, and educate on best practices for agentic engineering
 </li>
 <li>
 Create, manage, and maintain internal MCP servers
 </li>
 <li>
 Define and maintain security policies and data entitlements for agentic projects
 </li>
 <li>
 Migrate legacy workflows to agentic workflows
 </li>
 <li>
 Maintain and contribute to internal skills repository
 </li>
 <li>
 Contribute to multiple concurrent projects
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5+ years as a software engineer working with Python or Java
 </li>
 <li>
 Strong SQL or NoSQL skills
 </li>
 <li>
 Experience building and maintaining MCP servers
 </li>
 <li>
 Experience with containerization (Docker/Podman)
 </li>
 <li>
 Experience with CLI agentic coding tools (Claude Code, Gemini CLI, Copilot CLI)
 </li>
 <li>
 Deep understanding of how modern models work &ndash; how they are trained, how they generate content, what are their strengths and weaknesses
 </li>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, engineering, physics, mathematics, or equivalent experience
 
 
 </li>
 </ul>
 
 Compensation:
 
 
 Salary:
 
 $150,000 &ndash; $250,000, Plus Bonus
 
 
 The post Software Engineer appeared first on Landing Point.
</div>

Software Engineer

Doppel

<div>
 
 Why Join Doppel
 
 
 
 Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world&rsquo;s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
 
 
 Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet&rsquo;s most urgent trust and safety challenges.
 
 
 
 What We're Building
 
 
 
 We're building the AI-native social engineering defense platform.
 
 
 This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
 
 
 
 What We're Looking For
 
 
 
 We&rsquo;re looking for an experienced backend engineer to build out the infrastructure required to rapidly scale up our engineering organization. A few examples of the work we&rsquo;ve done recently:
 
 
 <ul>
 <li>
 Built a scalable data platform with a robust DBT transformation layer, enabling customers, engineers, and analysts to reliably model and query large-scale event data, track key product metrics, and power customer facing analytics.
 </li>
 <li>
 Launched a flexible notification system, delivering timely, reliable alerts across Slack, email, and other channels for internal and customer-facing use cases.
 </li>
 <li>
 Standardized core service patterns and shared business logic (auth, persistence, messaging), scaling them into reusable services that reduce duplication, ensure consistency, and enable product engineers to move faster as the company grows.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
 
 
 🍽️ Free lunch and dinner in the office
 
 
 🌴 Flexible PTO
 
 
 ✈️ Quarterly team offsites
 
 
 Join Doppel
 
 
 Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
 
 
 We&rsquo;re not just another cybersecurity company. We&rsquo;re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
</div>

Software Engineer, Platform

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers&mdash;delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries.
 
 
Our portfolio spans AI-powered specialist knowledge systems (Specialist Agent, Knowledge Vault), hands-on engagement platforms (Workshop Studio), content quality and recommendation engines (Holmes), and go-to-market orchestration tools (Alchemy)&mdash;collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity.
 
 
We are seeking a Data Engineer to join our newly formed centralized analytics team as one of the first Data Engineers on the team. This is a greenfield opportunity to build a data platform from the ground up&mdash;making foundational architectural decisions and directly influencing how an entire organization measures success and makes investment decisions. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a coherent, unified data ecosystem. Your focus will be squarely on engineering&mdash;building robust, scalable infrastructure and data models&mdash;while dedicated Business Intelligence Engineers on the team own the reporting, dashboarding, and stakeholder-facing analytics. This is not traditional reporting&mdash;you will be building the data backbone that powers intelligent, agent-driven analytics experiences (MCP tools, agentic retrieval systems) enabling stakeholders to intuitively access and consume data within their day-to-day workflows. The data you engineer will inform executive reviews, drive product strategy, and power the next generation of self-service analytics tools used by thousands of AWS field team members.
 
 
Key job responsibilities 
<ul><li>Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
</li></ul> 
<ul><li>Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics
</li></ul> 
<ul><li>Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness field engagement pipeline progression revenue impact)
</li></ul> 
<ul><li>Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
</li></ul> 
<ul><li>Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales
</li></ul> 
<ul><li>Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions
</li></ul> 
<ul><li>Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
</li></ul> 
<ul><li>Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization
</li></ul> 
<ul><li>Operate with a high bar for operational excellence&mdash;owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers
</li></ul> 
<ul><li>Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over
</li></ul> 
About the team 
You will be joining a high-growth engineering organization at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The centralized analytics team is being built from the ground up&mdash;you will be one of the first two Data Engineers on the team, working alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM. You will make foundational architectural decisions that define how the platform will be built, scaled, and operate for years to come. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape foundational architecture decisions and influence how an entire organization consumes and acts on data.
 
 
About AWS 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>3+ years of in the job offered or a related occupation experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
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.
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.
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.
Job responsibilities<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>
Required qualifications, capabilities, and skills<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>
<div>Preferred qualifications, capabilities, and skills</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>
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' 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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
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. 
<div></div> 
<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

CrowdStrike

<div>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. 
About the Role:
Our Data Platform group at Crowdstrike is unique among its kind for being uncommonly customer-focused. We build and operate systems to centralize all of the data from Falcon Sensors and 3rd Party sources derived from trillions of events/day, and we also drive industry-leading innovation on a hyper scale security data lake that helps find bad actors and stop breaches. 
Setting ourselves apart, we make it easy for all customers to utilize the platform for batch and streaming analytics, machine learning and threat hunting through the production and delivery of self-service platforms (Query Platform, Analytics Platform, Enrichment platform...) using Spark and Flink respectively as the runtimes. These self-service platforms allow customers to apply their own custom schema, syntax, data models (etc.) to our historical cyberattack data, modeling threats in a way that empowers them to predictively build (among other things) behavioral automations that defend against such threats 'before' they appear in their own environments. 
In this role, you will be a Principal Engineer within Data Platform, owning - in entirely hands-on capacity the design, build and delivery of a new self-service data enrichment platform which will take our customers' proactive defense measures to the next level. 
As a leader in data platform, you will contribute to the full spectrum of our systems, including query processing, scalable pipeline builds with largely Apache-based ingestion, materialized view, transformation and data storage frameworks, and tools/applications that make data available to thousands of users and hundreds of internal systems. 
 
What You&rsquo;ll Do:<ul><li>
Shape the vision of our Analytics Data Platform for its next phase of growth: building a Unified Data Catalog as well as Query Analysis for structured data stored in different forms (columnar vs graph), and building and optimizing query performance using different techniques of indexing and data partitioning.</li><li>
Design, develop, and maintain a data platform that processes petabytes of data.</li><li>
Participate in technical reviews of our products and help us develop new features and enhance stability.</li><li>
Continually help us improve the efficiency of our services so that we can delight our customers.</li><li>
Help us research, evolve and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire.</li></ul> 
What You&rsquo;ll Need:<ul><li>
(One among:) 17+ years exp with B.S. in a related field, 15+ years with M.S. in a related field, or 12+ years with PhD in a related field.</li><li>
Experience building and supporting very high scale data platform and data storage systems (MINIMUM: 100s of TB/day in either a current or past role)</li><li>
Significant experience performance-tuning or developing internals (source code) within Spark, Flink, Iceberg or Pinot or an equivalent structured streaming, Time Series, OLAP or Open Table real time system.</li><li>
Production experience building either Spark- or Flink-based self-service data platforms, or equivalent (i.e. with Ray, or building spark- or Flink-like frameworks themselves in Scala, Akk, etc.)</li><li>
Strong familiarity with (and ample hands-on experience tuning &amp; optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc.</li><li>
3+ years coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management&hellip;)</li><li>
Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc.</li><li>
Proven expertise with multiple big data frameworks in general, especially handling data volume at (ideally) multi-petabyte scale.</li><li>
Proven expertise with algorithms, distributed systems design and the software development lifecycle.</li><li>
Great test driven development discipline.</li><li>
Reasonable proficiency with Linux administration tools.</li><li>
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.</li><li>
Proven ability to work effectively with remote teams.</li></ul> 
Bonus Points:<ul><li>
Familiarity with Go.</li><li>
Familiarity with Kubernetes/Mesos or equivalent.</li><li>
Production experience with Flink, especially as runtime for a self-service platform.</li></ul> 
#LI-MP2
#LI-SF1
Benefits of Working at CrowdStrike:<ul><li>
Market leader in compensation and equity awards</li><li>
Comprehensive physical and mental wellness programs</li><li>
Competitive vacation and holidays for recharge</li><li>
Paid parental and adoption leaves</li><li>
Professional development opportunities for all employees regardless of level or role</li><li>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</li><li>
Vibrant office culture with world class amenities</li><li>
Great Place to Work Certified&trade; across the globe</li></ul>
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
Find out more about your rights as an applicant.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
Right to Work
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $195,000 - $290,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
For detailed information about the U.S. benefits package, please click here.</div>

Principal Software Engineer, Real Time Data Enrichment Platform (Hybrid)

Qureos

About the company: We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in. About the Role As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run. <ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul> What You'll Do <ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul> What You'll Bring <ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul> Bonus: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms. Comfortable working in dynamic environments with changing priorities and high ownership. Why Join Us You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer. If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.

Forward Deployed Engineer

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