infrastructure 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

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

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

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

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
 <div>What you can expect
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
About the Team
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
Responsibilities:
<ul><li>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</li>
<li>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</li>
<li>
Implementing safety mechanisms and oversight protocols for autonomous systems.</li>
<li>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</li>
<li>
Building robust testing frameworks for agent behavior validation.</li>
</ul>
What we&rsquo;re looking for:<ul>
<li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</li>
<li>
Have 5+ years of experience in ML engineering</li>
<li>
Exhibit expertise in NLP and transformer architectures</li>
<li>
Core stack: Python, Java, C++, or other programming languages for ML development.</li>
<li>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</li>
<li>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</li>
<li>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</li>
</ul>
Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application &ndash; take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</div>

Machine Learning Engineer

Fred Hutchinson Cancer Center

<div>Overview:
<div>
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div> 
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div> 
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div> 
As a senior member of the Information Security Operations team, you will anchor the organization&rsquo;s Vulnerability Operations (VulnOps) practice, serving as a subject matter expert who owns the discover, prioritize, remediate, and validate loop end to end. You will drive risk-based exposure management, mentor junior team members, and shape how Fred Hutch identifies, assesses, and orchestrates the remediation of vulnerabilities across a complex hybrid estate.</div><div></div><div> 
We are looking for a Vulnerability Operations Engineer to mature our exposure management program beyond scan-and-patch toward exploitability-in-context prioritization.</div><div></div><div> 
Reporting to the Director of Information Security Engineering &amp; Operations, you will scope and run scanning across cloud and on-premises assets, validate and triage findings, separate noise from materially risky exposure, and translate results into clear, owner-assigned remediation that actually gets fixed. You will partner closely with Fred Hutch architecture, development, systems engineering, and network engineering teams to embed vulnerability checks into their workflows, build automation that scales the program, and raise our level of compliance with information security standards. If this sounds like you, come help Fred Hutch in the fight against cancer and infectious disease by reducing the attack surface that protects our research and our patients! This role will have the opportunity to work partially at our campus and remotely. Evening and/or weekend work may occasionally be required.</div>
Responsibilities:
<ul><li>Own the vulnerability management lifecycle end to end&mdash;asset scoping, scanning, validation, triage, and remediation tracking&mdash;across cloud, on-premises, and hybrid environments.</li><li>
Lead risk-based, exploitability-in-context prioritization that separates noise from materially risky exposure, combining CVSS with EPSS, CISA KEV, and vendor advisories along with asset and reachability context, rather than ranking by raw score alone.</li><li>
Interpret scan results at scale: filter false positives, correlate findings with exploitability and active threat intelligence, and translate them into clear, prioritized tickets with named owners and actionable remediation guidance.</li><li>
Build, tune, and maintain the exposure management toolchain&mdash;evaluating and integrating vulnerability scanners, attack-surface and asset-graph tooling, and exposure management platforms for operational fit.</li><li>
Design and run remediation orchestration: set patch SLAs by risk tier, drive remediation campaigns (for example, end-of-life asset cleanup and TLS/certificate uplift), and keep multiple remediation streams moving across the teams that own the fix.</li><li>
Develop and maintain automation and scripting (Python, PowerShell, Bash) to de-duplicate findings, enrich them with CMDB and asset data, and push outputs into ticketing and notification systems instead of working from static reports.</li><li>
Integrate vulnerability operations into operational workflows through APIs for scanners, CMDB, and ITSM platforms, and partner with DevOps and engineering teams to embed vulnerability and infrastructure-as-code checks into CI/CD pipelines.</li><li>
Maintain a runtime-validated, identity-aware view of the asset estate, working toward reachability analysis that can answer which assets an identity can reach and which identities can reach a given asset.</li><li>
Operationalize software supply chain visibility&mdash;keeping SBOMs queryable and current so exposure to a newly disclosed component vulnerability can be answered in minutes rather than days.</li><li>
Define and maintain repeatable exception, risk-acceptance, and revalidation processes, ensuring accepted risk is documented, time-bound, and periodically re-reviewed.</li><li>
Build and report program metrics that turn raw findings into managed exposure&mdash;mean time to remediate, percentage of criticals closed within SLA, exploitability-weighted backlog, and exposure by business unit&mdash;including executive- and board-ready summaries that emphasize trend over point-in-time numbers.</li><li>
Apply AI-assisted tooling where it adds leverage&mdash;for example, to accelerate triage, enrichment, exploit reasoning, and code or configuration review&mdash;while maintaining human validation and sound judgment over automated findings.</li><li>
Serve as the subject matter expert for the vulnerability operations domain, providing technical guidance and mentorship to Level I and Level II engineers.</li><li>
Align vulnerability operations with threat intelligence and active incidents, prioritizing exposures under active exploitation and supporting incident response when a vulnerability is implicated.</li><li>
Contribute to compliance audits and assessments (HIPAA, NIST, CIS), ensuring vulnerability management controls meet regulatory and institutional requirements, and participate in on-call rotation as an escalation point for high-priority exposures.</li></ul>
Qualifications:
<div>
MINIMUM QUALIFICATIONS:</div><ul><li>
Bachelor&rsquo;s degree or equivalent work experience in a technical discipline related to Information Technology</li><li>
Minimum 7 years hands-on information security experience, including experience conducting technical and non-technical risk assessments</li><li>
Strong knowledge of information security risk management and information security technologies (e.g. SIEM, vulnerability management, data loss prevention, and/or endpoint protection)</li><li>
Proven track record and experience interpreting information security policies and procedures and successfully communicating with non-security workforce.</li><li>
Understanding of compliance and regulatory requirements such as HIPAA and PCI</li><li>
Knowledge of common information security management frameworks, such as ISO/IEC 27001, ITIL, COBIT as well as those from NIST, including 800-53 and Cybersecurity Framework</li></ul><div>
PREFERRED QUALIFICATIONS:</div><ul><li>
Strong, hands-on command of the vulnerability management lifecycle: asset scoping, scanning, validation, triage, and remediation tracking.</li><li>
Fluency with CVSS and related scoring and metadata (EPSS, CISA KEV, vendor advisories), with the judgment to separate noise from materially risky exposure.</li><li>
Working knowledge of common infrastructure and application vulnerability classes (e.g., injection, deserialization, RCE, misconfiguration, weak cryptography, default credentials) and how they are actually exploited.</li><li>
Demonstrated ability to interpret scan results, filter false positives, correlate findings with exploitability, and produce clear, prioritized, owner-assigned remediation.</li><li>
Solid grasp of network architecture (subnets, routing, network zones and segmentation) and of OS internals and hardening across Windows and Linux.</li><li>
Working knowledge of cloud platform security controls (AWS, Azure, or GCP) and how cloud misconfigurations surface as exposure.</li><li>
Scripting and automation experience (Python, PowerShell, or Bash) to enrich, de-duplicate, and route findings into ticketing and operational workflows.</li><li>
Experience mapping vulnerabilities to business impact, regulatory requirements, and internal policy, including risk-tiered patch SLAs.</li><li>
Strong written and verbal communication, with the ability to write concise tickets and executive-friendly summaries and to facilitate remediation working sessions across teams.</li><li>
Demonstrated ability to mentor and guide junior team members.</li><li>
Advanced security certifications such as GIAC GEVA (Enterprise Vulnerability Assessor), GIAC GCIH, CISSP, or equivalent.</li><li>
Vendor-specific vulnerability scanner or exposure management certifications, or equivalent.</li><li>
Familiarity with SOAR or orchestration tooling (e.g., Ansible, Tines, or custom pipelines) to automate scanning, tagging, and remediation workflows.</li><li>
Experience with cyber asset attack surface management (CAASM) or asset-graph approaches that join asset and identity data.</li><li>
Experience with application security tooling and concepts (SAST, DAST, SCA) and the discover&ndash;prioritize&ndash;remediate&ndash;validate loop as it extends into the software development lifecycle.</li><li>
Proficiency with infrastructure-as-code tools (Terraform, CloudFormation) and container orchestration (Kubernetes, Docker).</li><li>
Experience developing security tooling and integrations using Python, Go, or similar languages.</li><li>
Experience using AI-assisted tooling for vulnerability triage, exploit reasoning, enrichment, or code review, with appropriate human validation.</li><li>
Experience with threat intelligence platforms and exploit-intelligence sources.</li><li>
Experience in a healthcare, biomedical research, or academic environment.</li></ul><div>
The annual base salary range for this position is from $120,931 to $191,131, and pay offered will be based on experience and qualifications. 
 
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.</div><div> 
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).</div>
Additional Information: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.</div>

Vulnerability Operations Engineer

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

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