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Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Team
Looking to join a team that builds the data and platform foundations behind analytics, AI, reporting, and better decision-making at scale? 
 
As a Data Engineer III in the AI and Analytics Platform team, you will design and improve reliable data pipelines, shape well-modeled data products, and help build analytics-friendly and AI-ready datasets that power self-service insights, automation, and emerging Agentic AI use cases across Expedia Group. This role is a strong fit for someone who enjoys solving complex data problems, writing high-quality code and SQL, and building systems that are scalable, observable, and trusted by their users.
 
 
In this role, you will
<ul><li>Design, build, and maintain scalable batch and near real-time data pipelines and data products that support analytics, reporting, and downstream business use cases.
</li><li>Help build foundational analytics- and AI-friendly datasets across domains so data is easier to discover, trust, reuse, and apply in reporting, decision-making, automation, and emerging AI use cases.
</li><li>Write efficient, maintainable code and advanced SQL, applying strong engineering fundamentals to data ingestion, transformation, modeling, and access patterns.
</li><li>Lead complex, well-defined projects from technical design through delivery, while identifying inefficiencies in existing systems and improving reliability, scale, and maintainability.
</li><li>Build and improve data models, schema design patterns, and data quality practices so that data is easier to understand, trust, and use.
</li><li>Strengthen operational excellence through testing, monitoring, alerting, troubleshooting, and clear ownership of service health, freshness, and performance expectations.
</li><li>Partner closely with Product Managers, engineers, analysts, and business stakeholders to translate intake requests and business needs into practical technical solutions, with many projects and data products ultimately consumed by executive leadership for decision-making and visibility.
</li><li>Mentor more junior engineers through collaboration, technical guidance, and code review.
</li></ul>Minimum qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field; or equivalent related professional experience.
</li><li>5+ years of relevant professional experience in data engineering, software engineering, or a closely related technical field.
</li><li>Strong SQL skills and hands-on experience building and operating production-grade data pipelines or data products in cloud-based environments.
</li><li>Experience with data modeling, schema design, and modern data access patterns, with the ability to make sound technical decisions within project scope.
</li><li>Experience testing, monitoring, debugging, and improving data systems for reliability, observability, and operational quality.
</li></ul><div></div>Preferred qualifications
<ul><li>Experience supporting analytics, business intelligence, experimentation, or AI/ML-oriented data use cases.
</li><li>Experience with schema evolution, backfills, data freshness expectations, and service-level thinking for production data systems.
</li><li>Experience leading moderately complex technical designs and driving delivery across multiple collaborators or dependent teams.
</li><li>Experience improving engineering standards through mentoring, code reviews, documentation, and sharing best practices with peers.
</li><li>Familiarity with cloud-native data tooling and distributed data processing patterns at scale.
</li><li>Hands-on experience with technologies and infrastructure commonly used for end-to-end data engineering at Expedia, such as SQL, Python or Java, Spark, Hive, Trino, Querybook, Airflow, Jupyter, Databricks, AWS S3, AWS Glue Catalog, Unity Catalog, Dataproc, EGMP, Kafka Connect, DataPull, and Data Workbench.
</li><li>Practical experience using AI-assisted engineering tools such as Claude, Codex, Glean, Cursor, or similar tools to accelerate development, troubleshooting, documentation, and knowledge discovery.
</li><li>Ability to apply AI tools thoughtfully to enhance and automate data engineering workflows while maintaining strong standards for data quality, security, governance, and operational reliability.
</li></ul><div></div>Why join us 
 
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
 
We&rsquo;re focused on shaping the future of travel and helping exceptional people do their best work. Whether you&rsquo;re building in engineering or partnering across the business, you&rsquo;ll be part of a team working toward a common goal with curiosity, humility, and a bias for better outcomes.
Please note that this role is only available in Seattle, WA, in alignment with our flexible work model, which requires employees to be in the office at least three days a week. We are unable to offer relocation assistance for this role.
The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Data Engineer III

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Every strikethrough price, reference price, and savings number customers see on Amazon depends on data systems that must be fast, accurate, explainable, and available across the world. This role owns the data foundation behind those experiences. You will design the pipelines, data lakes, and quality mechanisms that help Amazon tell customers when an offer is a good value, power AI shopping experiences with trusted pricing data, and give business leaders a reliable view of how pricing experiences are working at Amazon scale. 
 
The scale is rare. Your systems feed shopping detail pages, search, cart, deals, international marketplace launches, finance analysis, and executive reviews across tens of marketplaces and billions of customer impressions a day. The leverage is rarer still. A schema choice, freshness contract, or quality standard you set becomes the way many teams across Pricing build, consume, and reason about reference-price data. 
 
We are looking for a senior data-engineering owner who wants to build, not just operate. The next twelve months include modernizing legacy pipelines onto a more flexible platform, creating new customer-impression datasets, improving data discoverability and lineage, and setting the next-generation organizational data architecture for how Pricing teams build and consume reference-price data. You will also help lead the transformation of data engineering in Pricing into the agentic AI era, using AI agents for migration, validation, and operational leverage while keeping human judgment where architecture, data contracts, and quality bars matter most. 
 
Key job responsibilities 
<ul><li>Design, build, and operate production-grade data pipelines for reference prices, strikethrough prices, savings data, and customer-impression datasets across worldwide marketplaces.</li><li>Build solid data lakes that power S-Team, leadership, finance, product, and analytics requests on reference-price topics, with discoverability, lineage, and quality checks designed in so BIEs and analysts can answer questions quickly and reproducibly.</li><li>Set the data architecture for how upstream pricing signals are transformed into trusted downstream datasets used by shopping experiences, AI features, executive analytics, and ad-hoc deep dives.</li><li>Lead cross-team data contracts across Pricing, Search, shopping detail pages, Deals and Promotions, international marketplaces, and partner teams that consume reference-price data.</li><li>Modernize legacy data pipelines onto modern data platforms, including cutover design, validation strategy, backfill planning, operational readiness, and deprecation of redundant datasets.</li><li>Raise the operational bar for data freshness, completeness, data-quality monitoring, and incident response across high-scale pricing datasets.</li><li>Mentor data engineers and software development engineers on data modeling, pipeline design, migration patterns, and high-quality operational mechanisms.</li><li>Lead the transformation of data engineering across the Pricing organization into the agentic AI era. Define when agents should handle rote migration or validation work, how engineers verify those outputs, and how proven patterns become team-wide standards.</li></ul> 
A day in the life 
You start the morning deep in a design doc, sketching the schema for a new reference-price dataset and writing the freshness contract that downstream teams will build against. Late morning, you ship a small but high-leverage code review that removes duplicate logic from an existing pipeline. You head out to lunch with the software engineering team. 
 
Back at your desk, you kick off an AI agent to migrate a legacy pipeline onto the modern data platform, then settle into a focused block on the harder pieces of the same modernization: the cutover plan is written, validation jobs are running, and the first batch lands for a downstream consumer to sanity-check. You close the day landing a new dataset version that the BIE team will turn into the weekly business-review slide for an SVP read. 
 
About the team 
Price Perception and Evaluation owns the customer-facing pricing experiences that help customers understand value on Amazon, including reference prices, strikethrough prices, savings messages, and the data foundations behind those experiences. We sit at the intersection of pricing, shopping customer experience, data engineering, product, and analytics. Our work has unusually broad reach because the same data foundation serves production shopping surfaces, AI shopping features, business analytics, and leadership inspection. 
 
We are a builder-heavy team with a high bar for technical judgment. We value simple architectures, strong ownership, precise data definitions, and mechanisms that make the right thing easy for partner teams. We are also actively changing how data engineering work gets done by using AI agents to accelerate migrations and operations while keeping engineers focused on design, correctness, and long-term maintainability.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience mentoring team members on best practices</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li><li>Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience troubleshooting and documenting findings</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.</div>

Senior Data Engineer, Price Perception and Evaluation

Nordstrom

<div><h2 class="jobSectionHeader">Job Description</h2>
At Nordstrom, product data is the backbone of the customer experience &mdash; from the moment a product is listed to the moment it ships. The PIM Egress team owns Product Core Service (PCS), the authoritative API and Kafka interface that delivers product data to every corner of the business. PCS is mission-critical infrastructure. It serves 100+ downstream teams &mdash; spanning Checkout, Warehouse Management, Data Analytics, and beyond &mdash; at 600 requests per second with a 50ms latency target and the reliability those teams depend on to run the business. 
As a Senior Full Stack Engineer on this team, you'll work at the intersection of scale, reliability, and data integrity &mdash; designing and evolving the systems that ensure every team at Nordstrom gets accurate, timely product data when they need it.
This is a rare opportunity to work at the intersection of large-scale data architecture and customer-facing impact. Every product page a customer sees, every filter they apply, and every category they navigate depends on the systems you will build and evolve.
This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position.
A day in the life...
As a Senior Full Stack Software Engineer, you will design, build, and operate services and user interfaces that are central to Nordstrom's product data ecosystem. You will work across the entire stack &mdash; from React-based internal tools used by merchants and data stewards to Java microservices that process millions of catalog and hierarchy records daily. While this role is Full Stack it's mostly Backend Engineering (80%). Our UI surfaces are internal tools built for the people who manage Nordstrom's Product Data &mdash; think operational dashboards, workflow monitors, and admin interfaces that give teams real-time visibility into how millions of items move through our systems. If you prefer building tools for internal business users that you can have face-to-face conversations with, this role is for you!<ul><li>
Build and evolve core platform services. You'll own microservices that power catalog management, hierarchical classification, and organizational master data. These services integrate with upstream ingestion pipelines (including Kafka-based event streaming and Temporal workflow orchestration) and serve downstream consumers across the company.</li><li>
Design delightful internal tools. Merchants, buyers, and data stewards rely on the UIs your team builds to manage catalogs, assign hierarchy nodes, and govern organizational entities. You'll create React-based applications that make complex data operations intuitive and efficient.</li><li>
Drive data quality at scale. You'll build validation, canonicalization, and entity resolution capabilities that ensure data consistency across Nordstrom's product ecosystem &mdash; spanning wholesale, marketplace, and direct-to-consumer channels.</li><li>
Own what you ship. You'll participate in on-call rotations, build observability into every service (New Relic, structured logging, custom dashboards), and drive operational excellence through runbooks, alerting, and incident response.</li><li>
Influence technical direction. You'll contribute to architecture decisions, participate in design reviews, and mentor engineers on the team. Your designs will consider upstream and downstream integration points and balance short-term delivery with long-term platform health.</li></ul>
Technology stack...<ul><li><h2 class="jobSectionHeader">
Backend: Java, Spring Boot, REST APIs, Kafka (event streaming and CDC), Temporal.io (workflow orchestration), PostgreSQL, DynamoDB, Redis</h2></li><li><h2 class="jobSectionHeader">
Frontend: React, TypeScript, Next.js</h2></li><li><h2 class="jobSectionHeader">
Infrastructure &amp; Cloud: AWS (ECS/EKS, Lambda, S3, RDS, MSK), Terraform, GitHub</h2></li><li><h2 class="jobSectionHeader">
Data &amp; Integration: Kafka topics (Avro schemas), REST and gRPC service-to-service communication, batch and real-time data pipelines</h2></li><li><h2 class="jobSectionHeader">
Observability: New Relic (APM, dashboards, alerting), structured logging, distributed tracing</h2></li></ul>
You own this if you have...<ul><li>
7+ years of professional software engineering experience, including significant delivery of both backend services and frontend applications.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems Engineering, Data Engineering.</li><li>
Communication Skills. Strong verbal, written and diagramming communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.</li><li>
Programming Skills. Proficient in more than one Programming Language. Experience with agentic development and perspective on how to get the most from agents during the Software Development Lifecycle.</li><li>
Strong backend fundamentals. You're comfortable designing and building microservices in Java or Kotlin, working with relational databases (PostgreSQL), and integrating with event-driven architectures (Kafka). Experience with workflow orchestration tools like Temporal is a strong plus.</li><li>
Modern frontend skills. You've built production React applications with TypeScript. You care about usability, accessibility, and creating tools that people enjoy.</li><li>
Infrastructure fluency. You're comfortable working with containerized deployments (Docker, Kubernetes), defining infrastructure as code with Terraform, and configuring CI/CD pipelines. You don't need to be a platform engineer, but you can provision what your services need and troubleshoot deployment issues without waiting on someone else.</li><li>
Distributed systems thinking. You understand the tradeoffs of eventual consistency, can reason about failure modes in a service-oriented architecture, and have data driven perspectives on topics like idempotency, schema evolution, and data partitioning.</li><li>
Ownership mentality. You do more than write code &mdash; you own outcomes. You think about observability from the start, you write runbooks, and you show up when your systems need you.</li><li>
Collaborative and communicative. You thrive in cross-functional environments. You can explain a technical tradeoff to a product manager, pair with a junior engineer on a complex problem, and contribute to architectural discussions with clarity and conviction.</li><li>
Bias toward simplification. You actively seek ways to reduce complexity, remove bottlenecks, and make systems easier to operate and evolve.</li></ul><div></div>
Nice to have...<div><ul><li>
Familiarity with product information management or retail/e-commerce domains</li><li>
Background in entity resolution, canonicalization, or data quality systems</li><li>
Experience with Temporal.io or similar durable execution frameworks</li><li>
Contributions to engineering standards, shared libraries, or developer experience tooling</li></ul>
Why this team...
The Catalogs, Hierarchy &amp; Org MDM team is in an exciting phase. Nordstrom's Marketplace Highway program is expanding the product ecosystem to include third-party marketplace sellers alongside the traditional wholesale business, and our team's systems are foundational to that growth. You'll be joining a team that is actively modernizing its platform, tackling hard data problems at scale, and shipping work that has direct, measurable impact on how customers discover and shop for products.
You'll work alongside engineers who are deeply technical, genuinely collaborative, and committed to building things the right way. We invest in our people &mdash; through mentorship, stretch assignments, design review culture, and an environment where your ideas shape the direction of the platform.</div>
Pay Range Details 
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. 
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$142,000.00 - $220,500.00 Annual 
We&rsquo;ve got you covered&hellip; 
Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:<ul><li>
Medical/Vision, Dental, Retirement and Paid Time Away</li><li>
Life Insurance and Disability</li><li>
Merchandise Discount and EAP Resources</li></ul> 
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf 
A few more important points... 
The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. 
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. 
 
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. 
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. 

Nordstrom keeps job postings open for at least one day after the posting date. 

&copy; 2026 Nordstrom, Inc</div>

Senior Full Stack Software Engineer

Second Order Effects

<div>Company Overview:

Second Order Effects started in 2016 as a services firm, taking on other companies' hardest engineering problems from first principles. We grew into a solutions firm that designs and ships complete custom electronics and systems, including power electronics, RF, and control systems. We've completed over 250 projects for more than 100 clients. Our designs control rocket engines, manage satellite communications, instrument fusion reactors, and are enjoyed by consumers around the world.

We approach problems from first principles. We break challenges down to their most fundamental components, which is how we find solutions that hold up across industries, use cases, and engineering functions. We focus on solving the right problems and building the teams to take them on. Because we believe that training and empowering others yields a greater impact than focusing on developing any specific technology, we expect every single member of our team to participate in building up those around them.

In the past year, we've started taking our own concepts and spinning them out into separate companies that we believe will meet the emerging needs of our clients and the industry at large. The work is concentrating in frontier technology, including space, fusion and fission energy, and advanced vehicles. We currently have two spinout companies in stealth that we're working on. 
 
Information about SOE's mission, vision, and values can be found here. 
Examples of the projects SOE has worked on can be found here. 


The Role:

As an Electrical Engineer, you will support the design, architecture, and implementation of high performance electrical systems across a diverse range of projects. You will work alongside a collaborative team of engineers to find and develop the right solutions for the problems at hand and client use case. If you're passionate about tackling mission-critical challenges and working across multiple industries, this is your chance to make a lasting impact and grow in a dynamic environment. 


Key Responsibilities:
<ul>
<li>Drive design efforts for electronic systems, including architecture and implementation details of circuitry and software/firmware</li>
<li>Perform component selection and trade studies of different implementation options to best generate and satisfy design requirements</li>
<li>Capture schematics and design PCB layouts, create component symbols and footprints</li>
<li>Circuit simulation and thermal analysis of designs, including sizing of thermal management systems</li>
<li>Develop firmware in C/C++ for microcontrollers, or digital design in Verilog HDL for FPGAs</li>
<li>Write and execute test plans for device validation and performance characterization</li>
<li>Take ownership of the design, development, testing, and end-to-end technical support for projects</li>
<li>Assess design risks and develop mitigation strategies</li>
<li>Create documentation for hardware, software and systems</li>
<li>Interface with internal teams and external clients to conduct design reviews for hardware/electronic systems and code reviews for software/firmware/HDL</li></ul> 


Minimum Requirements:
<ul>
<li>Able to work 40 hours a week on-site in El Segundo, California, or Redmond, Washington</li>
<li>Eligible to work on ITAR projects</li>
<li>Bachelor's Degree (Electrical Engineering, Computer Science, Physics, Math, or related field) or equivalent experience</li>
<li>3+ years of applied experience with a demonstrated passion for engineering and technology development</li>
<li>Excellent written and verbal technical communication skills; ability to explain technical concepts and their implications to non-technical audiences</li>
<li>Experience in any common ECAD tool, such as Altium Designer, KiCad, Cadence, PADS, EAGLE, etc.</li>
<li>Experience with C/C++ firmware development or Verilog HDL development</li>
<li>Experience in modeling, simulation, and testing of electronics</li>
<li>Familiarity with standard digital communication methods including serial / UART, SPI, and I2C</li>
<li>Expertise with one or more of the following: analog circuits, mixed-signal designs, embedded programming, RF, power electronics, or optical systems development</li></ul> 


Preferred Requirements:
<ul>
<li>Experience in team-based design and build projects (e.g., Formula SAE, Solar Car, CubeSat, Rover Challenge, etc.)</li>
<li>End-to-end electronics design experience: taking designs from requirements generation through schematic, layout, fabrication, and hardware bringup</li>
<li>Experience with analog small-signal circuit design (filters, op-amp circuits, signal conditioning) and/or power electronics designs: regulators, load drivers, supply filters, protection circuitry</li>
<li>Knowledge of PCB fabrication and assembly process, design for manufacture and design for assembly (DFM / DFA), familiarity with IPC and/or JEDEC standards</li>
<li>Experience interfacing with PCB and assembly vendors to have designs fabricated</li>
<li>Large-format or high-density or high-layer-count PCB design experience, preferably for aerospace, automotive, medical, or other high-reliability applications</li>
<li>Expertise with Altium Designer or KiCad</li>
<li>Familiarity with Python and/or MATLAB for data parsing and signal analysis</li>
<li>Familiarity with LTSpice for circuit simulation</li>
<li>Experience with a range of ARM Cortex-M devices (e.g., STM32, NXP S32K, TI TMS570, etc.) and Lattice or Xilinx FPGAs</li>
<li>Excellent understanding of OS fundamentals (e.g., schedulers, memory management, network stacks, file system architectures, etc.) and computer architecture or digital design fundamentals</li>
<li>Experience with continuous integration and testing (CI/CD) or related high-reliability software development strategies</li></ul> 


Compensation &amp; Benefits:
<ul>
<li>Salary range dependent on leveling
<ul><li>Engineer I: $100,000 - $130,000</li>
<li>Engineer II: $125,000 - $170,000</li>
<li>Senior Engineer: $155,00 - $200,000</li>
</ul></li><li>Equity (via ISOs) in Second Order Effects, Inc.</li>
<li>Equity (via PIUs) in our incubated companies (through our holding company, Second Order Holdings, LLC)</li>
<li>100% employer-paid health insurance (Medical, Dental, Vision) for employees + 50% dependent coverage</li>
<li>Flexible paid time off policy + 11 paid holidays + 12 paid sick days</li>
<li>401(k) retirement account and employer matching (Safe Harbor 4%)</li>
<li>Up to 22 weeks of paid parental leave dedicated to new child bonding</li>
<li>Relocation assistance available if 50+ miles away from the office</li>
<li>Electric Vehicle (EV) charging ports at our LAX office</li>
<li>Daily catered lunches, snacks, and accessible kitchen</li></ul> 


ITAR Requirements: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Unfortunately, we are unable to provide sponsorship at this time.

Equal Opportunity: Second Order Effects is proud to be an Equal Opportunity Employer; employment with SOE is governed on the basis of excellence and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.</div>

Electrical Engineer

Stealth AI startup

<div><h2 class="jobSectionHeader">The Opportunity</h2>
We are a seed-stage AI startup, currently in stealth, backed by top-tier VCs. We are hiring for a founding engineer for the role of a Product Architect (Sr PE/PE level). This is a rare kind of role. You will own major parts of the platform from early stages, and play a part in building out the company itself: how we build, how we work together, and what we value as an organization. We are building a high-trust, high-standards team of exceptional builders who want to move fast, go deep, own outcomes, invent better ways to create unmistakable customer value and ultimately drive business and personal success.<h2 class="jobSectionHeader">
What We're Building</h2>
Our north star is to help companies of all sizes build, deploy and manage AI applications in a seamless, efficient and cost-effective way. We believe that more and more enterprises and AI startups will build their own application-specific AI models in order to own major portions of their application stack, build on their IP position and optimize for performance and costs. For these companies, models, weights, and data are becoming the strategic moat. But moving from experimentation to production remains slow and messy: fragmented tooling, mounting infrastructure complexity, and significant engineering time lost to security, access, and compliance work instead of innovation.
Our core value proposition is simple. We help product and engineering teams move faster with building and integrating AI models into their applications, with high confidence and trust. The platform is designed to be deployed in a customer&rsquo;s existing environments, ranging from public clouds, on-prem, and hybrid environments. We will share the full picture, including our product, early traction, and roadmap, in our first conversation.<h2 class="jobSectionHeader">
Why This Role Is Different</h2>
You are building the thing, not inheriting it. As a founding engineer, you will make the architectural decisions everything else gets built on: the core platform, the technology stack, and the engineering culture. There is no legacy codebase and no committee.
The equity is real. The pace of progress in AI has created a once-in-a-lifetime window, and where you spend the next few years matters more than it ever has. You can spend them at a big tech where you are a line item in a headcount plan, doing your best work under the constant pressure of the next layoff cycle while someone else captures the upside. Or you can spend them as a founding engineer with meaningful equity in what you build.
You will work directly with a founder who has done this at scale. Our CEO has nearly two decades of experience building and scaling AI infrastructure businesses. He scaled a business from about $100M into a multi-billion-dollar segment at a leading cloud provider, and served as Chief Product Officer of a company he helped take public, now valued at over $50B. He leads by example, stays hands-on, and invests heavily in developing people and helping them do the best work of their careers.
The timing is now. Enterprise AI is crossing from experimentation into production right now, and the infrastructure layer underneath it is being decided. The companies that define that layer will be built in the next few years, by small teams that move fast.<h2 class="jobSectionHeader">
What You'll Do</h2>
This is a hands-on building role. You will report to the CEO and collaborate closely with our founding Product Architect on the product platform. We expect roughly 80% of your time on product development, with the rest split between product research and direct customer support.<ul><li>
Design, build, test, and operate production-grade features and services.</li><li>
Build and run systems that deploy across public cloud, on-prem, and hybrid environments.</li><li>
Contribute to architecture and technical decisions, partnering with the Product Architects on the bets that shape the platform.</li><li>
Take part in product research: prototyping new approaches and evaluating emerging tools and techniques.</li><li>
Work directly with early customers to turn real-world requirements into working capabilities and to support them in production.</li><li>
Use AI-driven development workflows (Claude Code, Cursor, or equivalent) as a daily multiplier on velocity and quality.</li><li>
Help set the bar for engineering quality and craft as the team grows.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
We are hiring across Senior (L5 equivalent) and Staff (L6 equivalent) levels. The work is the same. The difference is depth of experience and the scope of the systems you have built and owned.<ul><li>
5+ years of hands-on engineering experience building and shipping production software, with a track record of maintaining it in production.</li><li>
Experience building distributed systems, backend services, or infrastructure platforms with an eye for reliability and performance.</li><li>
Working knowledge of cloud-native technologies: Kubernetes, containerized workloads, service-oriented architectures, and infrastructure-as-code (Terraform, Pulumi, or similar) across AWS, Azure, or GCP.</li><li>
Strong systems fundamentals: API design, backend architecture, performance, and reliability.</li><li>
Strong programming proficiency in Rust or C++, with experience writing performant production grade code.</li><li>
High ownership and bias for action in 0-to-1 environments. You are comfortable making pragmatic trade-offs, operating with incomplete information, and driving work from idea through launch.</li><li>
Excellent communication. You can work directly with customers, discuss trade-offs on the merits, and collaborate closely with a small team.</li></ul><h3 class="jobSectionHeader">
Strong Pluses</h3><ul><li>
Experience building customer-facing, large-scale distributed systems and applications: production software that real users and enterprises depend on.</li><li>
Experience building and deploying solutions across multi-cloud and on-prem environments.</li><li>
Experience with AI/ML infrastructure, including training, inference, or the platforms and pipelines around them.</li><li>
Familiarity with security domains such as identity, access control, key management, or trusted computing.</li><li>
Prior startup or early-stage experience, or a big-company background and strong conviction that it is time for something different.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Founding-team equity with meaningful upside.</li><li>
Competitive cash compensation, calibrated for seed stage.</li><li>
A direct hand in defining the product, the architecture, and the culture.</li><li>
Opportunity to be part of a fast-paced environment that values distinctive expertise, emphasizes ownership along with high standards, and fosters open-minded collaboration with exceptional builders.</li><li>
A founder committed to your growth, and a front-row seat to building a company.</li></ul></div>

Founding Engineer - Full Stack

GEICO

<div>Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. 
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.<div><div><div><div>
Our Service Engineering team at GEICO is revolutionizing customer service using AI and multi-agent systems. If you're passionate about creating large-scale, distributed AI applications with significant business impact, this opportunity is perfect for you. Our focus is on enhancing self-service rates across all communication channels, from voice (IVR) to chat.
Our Senior Engineer is a leading member of the engineering staff working across the organization to provide friction-less experience for our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.
As a Senior Engineer, you will:<ul><li>
Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat).</li><li>
Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.</li><li>
Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions.</li><li>
Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.</li><li>
Stay at the forefront of AI and distribute systems research, bringing innovative approaches and tools into production environment.</li><li>
Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services</li><li>
Consistently share best practices and improve processes within and across teams</li></ul>
Qualifications<ul><li>
Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.</li><li>
Proven experience designing, developing, and deploying AI or machine learning models (LLMs) in production environments, with a focus on scalability and performance.</li><li>
Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).</li><li>
Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation.</li><li>
Experience in building products using micro-service-oriented architecture and extensible REST APIs</li><li>
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems</li><li>
Experience with continuous delivery and infrastructure as code</li><li>
Experience in leveraging PowerShell scripting</li><li>
Experience in existing Operational Portals such as Azure Portal</li><li>
Experience with application monitoring tools and performance assessments.</li><li>
Ability to excel in a fast-paced, startup-like environment</li><li>
Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)</li></ul>
Experience<ul><li>
4+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java)</li><li>
4+ years of experience in open-source frameworks</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in computer science, Information Systems, or equivalent education or work experience</li></ul></div></div></div></div> 
Annual Salary
$100,000.00 - $215,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: Protecting customers through life&rsquo;s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future. 
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. 
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Engineer, Interactive Voice Response - AI/ML

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
The AWS Data Center Engineering - BIM &amp; AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking a Senior Software Development Engineer with Building Information Modeling (BIM) domain expertise to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale. 
 
As an SDE III on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to leverage your Architecture, Engineering, Construction, and Ownership (AECO) industry expertise alongside your advanced software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.
 
 
This role requires both deep technical leadership and the ability to bridge software engineering with domain expertise in Building Information Modeling (BIM) and the AECO (Architecture, Engineering, Construction, and Ownership) industry. You will define the technical vision and roadmap for AI-native design automation, balancing innovation with practical implementation while ensuring alignment with broader organizational goals. This is a greenfield opportunity to build systems that will fundamentally change how Amazon designs and delivers data center facilities worldwide.
 
 
Key job responsibilities 
<ul><li>Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact</li><li>Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards</li><li>Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team</li><li>Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring</li><li>Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions</li><li>Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability</li><li>Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment</li><li>Drive technical discussions and build consensus on architectural decisions within your team and across partner teams</li><li>Mentor junior engineers through code reviews, design discussions, and knowledge sharing</li><li>Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions</li></ul> 
About the team 
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. 
 
Diverse Experiences 
Amazon 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. 
 
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. 
 
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 conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and 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.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>7+ years of non-internship professional software development experience</li><li>7+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>7+ years of experience developing Building Information Modeling (BIM) software solutions for the AECO industry</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with AI/ML technologies and their practical applications in AECO industry problems (e.g., building design engineering automation, compliance checking, or construction documentation workflows)</li><li>Experience with BIM software platforms and APIs such as Autodesk Revit, Autodesk Forma, Autodesk Platform Services, or similar AECO industry tools</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, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies

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