software engineer

ai engineer

ai engineer ii

backend engineer

bms field engineer

platform engineer

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

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

HARVEY

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

Senior Software Engineer, Production Engineering

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

Numeric

<div>
 
 At Numeric, we&rsquo;re building the modern data platform for accounting and finance.
 
 
 
 We&rsquo;re building the financial platform that realizes the dream of live, rich, trustworthy data and insights for companies to drive decision-making &amp; execution.
 
 
 Among our hundreds of customers are Anthropic, Notion, Brex, OpenAI, Cursor, Plaid, Wealthfront, Mercury, Figma, and Asana.
 
 
 We raised a $51M Series B in late 2025. We&rsquo;re backed by IVP, Menlo Ventures, Founders Fund, 8VC, et all. as well as founders and executives from Ramp, Segment, and more.
 
 
 
 Why Numeric?
 
 
 
 Accounting is a massive, growing data problem. Every business would like to ground their decisions, strategy, and analysis in rich, up-to-date information. Financial data, however, is poor, fragmented, delayed, and lacking context; the accounting work to bring it together is tedious and error-prone. To fix this requires foundational changes in accounting and in the broader finance function.
 
 
 We are addressing these problems at their root by building the infrastructure and product experiences to ingest events, transform them, match value movement, project interpretations, and report against our unified graph of financial data. We&rsquo;re applying principles of software engineering and data systems to scale accounting.
 
 
 We tackle the hard problems. Accounting does not need more duct tape.
 
 
 We&rsquo;ve rethought the field&mdash;its primitives, assumptions, and practices&mdash;while staying grounded by working closely with our customers. As engineers, we do our homework. We study the domain and talk to our users, and by doing so we earn the right to bring a fresh perspective to the problem of financial data.
 
 
 
 The Role
 
 
 
 Our Close product is the operating center for accounting and finance teams. Our product weaves collaboration, automation, and workflow tools with deeply-integrated financial data and reporting. Customers depend on Numeric to alert on their financial transactions, perform trend analyses, match money movement across accounts, and more as they close the books each month.
 
 
 We&rsquo;re looking for engineers who enjoy shipping in a tight feedback loop with customers, and take pride in raising the quality and robustness of the system in which they work.
 
 
 
 You might be a fit if&hellip;
 
 
 
 <ul>
 <li>
 You practice &ldquo;leave it better than you found it&rdquo; with the systems in which you work. You&rsquo;re the type who consistently refactors and improves the system, codebase, and tools as you go.
 </li>
 <li>
 You appreciate tight feedback loops with active customers, and are energized by shipping visible changes to user
 </li>
 <li>
 You&rsquo;re comfortable reasoning about systems with regard to resilience, testing, and observability
 </li>
 <li>
 You&rsquo;re excited to build systems to support and manage AI development, enabling faster pace without losing stability and quality
 
 
 </li>
 </ul>
 
 What You Need
 
 
 
 <ul>
 <li>
 3+ years of full-time experience building software, ideally some tenure of &gt;2 years in one company
 </li>
 <li>
 Fluency of backend fundamentals, including data structures, database fundamentals, performance concepts.
 </li>
 <li>
 Code design skills to build robust, high-quality programs
 
 
 </li>
 </ul>
 
 Bonus points for&hellip;
 
 
 
 <ul>
 <li>
 B2B SAAS experience, especially in related areas like finance, accounting, or in other complex domains
 </li>
 <li>
 Strong AI development workflow
 </li>
 <li>
 Strong product thinking, user empathy, or design thinking
 
 
 </li>
 </ul>
 
 How We Work
 
 
 
 
 This role is in-person in New York City.
 
 
 
 As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.
 
 
 We believe the best company is the one with the best ICs and we&rsquo;ve built a culture to maximize great work. We believe great product &amp; engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.
 
 
 We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:
 
 
 <ul>
 <li>
 Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.
 </li>
 <li>
 Brick by Brick: To win, our team needs to show up and execute in each domain every day.
 </li>
 <li>
 Love the Game: We focus on the craft and a deep sense of giving a f*ck. We&rsquo;re building a company full of people who are equally engaged and motivated.
 </li>
 <li>
 Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
 </li>
 <li>
 SALY: We refuse to accept &ldquo;Same As Last Year.&rdquo; We bring fresh eyes to a stagnated and underserved domain. We&rsquo;re driven by a first-principles approach to building better solutions.
 
 
 </li>
 </ul>
 Read some of our thoughts on engineering and company-building here.
 
 
 Compensation Range: $155K - $260K
 
 
</div>

Software Engineer, Cash & Close

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