senior lead software engineer

Rippling

<div><h2 class="jobSectionHeader">About Rippling</h2>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.<h2 class="jobSectionHeader"> 
About the Data Cloud Team</h2>
Rippling Data Cloud is a new suite of products that aggregates data from across your company into Rippling, connects it to worker identity, and makes it available for analysis, visualization and action. It preserves and enriches data context to enable precise and accurate answers to your most important and nuanced business questions. 
It's a complete data stack including data connectors, transformations, visualizations, AI-powered analytics, and even inbound Zero-Copy. It understands how all of that data relates to employees, managers, departments, locations, cost centers, permissions, and historical changes in your ever-changing business. That makes it possible to ask questions that traditional BI systems struggle to answer correctly.<h2 class="jobSectionHeader">
Data Cloud as the foundation for Rippling AI</h2>
Data Cloud and AI are deeply connected in Rippling. Data Cloud is the data infrastructure layer that powers Rippling AI. Here's how they relate: 
Data Cloud provides the unified data that AI reasons over: 
Rippling AI leverages the Employee Graph and all platform data (payroll rules, earnings types, deduction logic, permissions, etc.) as its source of truthBecause Rippling is a unified platform rather than stitched-together acquisitions, the data is clean, consistent, and complete which makes AI answers accurate and context-awareAI respects the same permissions model as the rest of the platform, so it only surfaces data the user is authorized to see 
The Rippling AI unlocks advanced Data Cloud capabilities:<ul><li>
AI Dashboards: build dashboards from scratch using natural language prompts</li><li>
Transformations: full publish access</li><li>
Pipelines: ingest data via managed connectors</li><li>
Lineage &amp; Catalog: explore data lineage for reports</li><li>
Advanced features: parameters, SQL queries, and the ability to incorporate third-party data</li></ul> 
Why this matters
Most HR/Finance systems weren't built for AI. Their data is messy and fragmented. Rippling AI is described as the first &quot;context-aware, senior analyst&quot; for HR and Finance teams because it sits on top of a unified data model (Data Cloud + Employee Graph) that actually understands your business logic end-to-end.<h2 class="jobSectionHeader">
What We Build</h2>
The team is focused on the following core domains:<ul><li>
Analytics &ndash; Focuses on the reporting and dashboarding products that enable users to visualize and analyze data within Rippling.</li><li>
Data Access &ndash; Owns the query engine (RQL, Rippling Query Language) that powers data retrieval across the platform. This area includes sub-teams responsible for query execution, data ingestion, and query history.</li><li>
Data Management &ndash; Owns the metadata and data catalog layer, including how data assets are discovered, governed, and documented.</li><li>
Ingest &amp; Prep &ndash; Responsible for bringing external data into Rippling. This area includes Managed Connectors (pre-built integrations with third-party systems) and Transformations (data shaping and preparation).</li><li>
Insights &ndash; A newer area within Data Cloud focused on surfacing actionable insights from data.</li></ul><h2 class="jobSectionHeader">
What you will do</h2><ul><li>
Develop and improve both product backend capabilities and user-facing features, working across the stack to make them shine</li><li>
Collaborate closely with PMs and designers to translate complex product requirements and visual designs into responsive, high-quality code.</li><li>
Move quickly and confidently, making smart decisions to fill in the gaps where product details aren&rsquo;t fully defined&mdash;always learning from user feedback.</li><li>
Play an active role in building a culture of excellence within our product and engineering teams.</li></ul><h2 class="jobSectionHeader">
What you will need</h2><ul><li>
5+ years of experience in a production environment using Python, Django, or related technologies.</li><li>
Familiarity in frontend development with React or typescript.</li><li>
Exposure and hands on experience with systems operating at a significant technical and organizational scale</li><li>
Strong product intuition: you care about design and user experience and are quick to identify how these could be improved.</li><li>
Experience shipping complex projects</li><li>
Deep understanding of CS/algorithms fundamentals</li><li>
Strong communication skills with a variety of stakeholders</li></ul><h2 class="jobSectionHeader">
Additional Information</h2>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com 
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. 
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. 
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below. 
The pay range for this role is: 
168,000 - 280,000 USD per year(US Tier 1)</div>

Senior Software Engineer, Backend Full Stack - Data Cloud

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.</li>
<li>2 years of experience developing test automation in C++, Java or Python.</li>
<li>2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in developing cloud-based storage systems.</li>
<li>Experience tuning performance and scale in large-scale distributed systems.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
As a Software Engineer within Google Cloud Storage (GCS) Resource Engineering, you will make significant, independent technical contributions to our capacity planning, resource allocation, and efficiency platforms. You will design, code, and deploy features for GCS capacity pipelines, delivering end-to-end tasks to ensure Google&rsquo;s storage infrastructure never blocks AI workloads or scaling demands. You will own medium-to-large features from design to launch, directly supporting high-visibility initiatives that guarantee predictability, zonal isolation, and separation for customers. You will collaborate with senior engineers and partner teams to build advanced capacity solvers, automated guardrails, and resource fungibility models. You will align with GCS, Site Reliability Engineering (SRE), product partners to define technical requirements, leveraging Google&rsquo;s AI/ML tools to maximize engineering velocity and sustain operational excellence.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, code, test, and deploy new features and enhancements for the GCS Resource engineering capacity planning pipelines, actively leveraging Google's AI tools and platforms to enhance productivity and innovation throughout the development life-cycle.</li>
<li>Own medium-to-large-scale features from technical design through to launch and operation.</li>
<li>Collaborate with fellow engineers, product managers, and partner teams to define project requirements and deliver on the product roadmap.</li>
<li>Contribute to the monitoring, alerting, and overall production health of the system.</li>
<li>Develop and maintain fluency with the latest internal AI tools and best practices for software engineering, proactively identify opportunities to apply AI to improve efficiency.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, GCS Resource Engineering

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

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

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Live Playback Operations team are seeking a Support Engineer to own the operation and end-to-end monitoring of live events on Prime Video. The role involves working with internal and external partners to ensure the video signal for each event is received, routed through our encoding/packaging infrastructure, and successfully delivered to customer devices; on-site from our fully-equipped, industry leading operations centers.
 
 
Prime Video is the first-stop entertainment destination offering customers a vast collection of premium programing in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 
 
As a Prime Video Live Operations Support Engineer, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. 
 
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented engineers, you can decide where a career Prime Video takes you! 
 
Key job responsibilities 
<ul><li>Work with peers and other teams on high-severity, active support issues, prioritizing mitigation while investigating root-cause fixes</li></ul> 
<ul><li>Deliver reports to senior leadership</li></ul> 
<ul><li>Aid in the development and testing of operational tools and AI-powered workflows that improve efficiency through automation</li></ul> 
<ul><li>Customer notification and workflow co-ordination with follow-up to maintain service level agreements</li></ul> 
<ul><li>Creating and maintaining team specific knowledge-base articles and operational and training documentation</li></ul> 
<ul><li>Assist in the training of new support staff as the team grows</li></ul> 
<ul><li>This role requires working evenings, weekends, and holidays.</li></ul> 
A day in the life 
A typical day could involve; 
 
<ul><li>Interacting with Prime Video's partners to root cause customer impacting incidents.
</li></ul> 
<ul><li>Managing ticket queues to ensure issues are addressed quickly, well documented, and tracked for long-term, iterative improvement</li></ul> 
<ul><li>Working with developers on development roadmaps and helping set priorities for backlog requests</li></ul> 
<ul><li>Identifying and driving down recurring incidents through OE best practices</li></ul> 
<ul><li>Representing the team when collaborating with adjacent teams across infrastructure/signal engineering, solution architects and developers.
</li></ul> 
<ul><li>Scripting and the use of AI to develop automation to improve the team's efficient use of tools and reduction of manual tasks.</li></ul> 
About the team 
Live Playback Operations work on a &lsquo;follow the sun&rsquo; model, with team members located in Seattle, London, and Hyderabad, providing 24/7/365 coverage. We cover a wide range of live events; NFL, NBA, MLB, NHL, UCL, EPL, Copa do Brasil, Serie A, Wimbledon, concerts, and much more, available world-wide on Prime Video. We are growing, and hope you may be part of our exciting future!</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of software development, or 2+ years of technical support experience</li><li>Experience scripting in modern program languages</li><li>Experience troubleshooting and debugging technical systems</li><li>2+ years experience with technical support in a live streaming environment; knowledge of video encoding and delivery, acquisition, codecs, adaptive bit rate video playback, common streaming protocols, software support, and related troubleshooting and escalation.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with live broadcast production, transmission, working in a NOC or MCR (Master Control)</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 - 80,200.00 - 130,700.00 USD annually</div>

Live Ops Support Engineer, Prime Video, Live Playback Operations

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

<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

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