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software engineer ii, cloud engineering

distributed systems engineer

Lightning AI

<div><div><h2 class="jobSectionHeader">Who We Are</h2>

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems&mdash;designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
<h2 class="jobSectionHeader">
The Way We Work</h2>

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
<ul>
<li>Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.</li>
<li>Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.</li>
<li>Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.</li>
<li>Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.</li>
<li>Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li>
<li>Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.</li>
</ul>
</div><div></div><h2 class="jobSectionHeader">What We're Looking For</h2>

Lightning AI is looking to hire an AI Platform Support Engineer to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.

This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You'll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.

The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You'll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.

This role is hybrid out of our Seattle, San Francisco, or New York office hubs, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday&ndash;Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time.<h2 class="jobSectionHeader"> 

What You'll Do</h2>

Work Directly With ML Engineers
<ul>
<li>Partner directly with customer engineering teams running training and inference workloads in production</li>
<li>Help customers diagnose and resolve complex distributed systems and ML infrastructure issues</li>
<li>Act as a technical advisor during high impact incidents and platform degradation events</li>
<li>Translate infrastructure level issues into actionable guidance for ML engineers</li>
<li>Build credibility with customers through strong technical reasoning and clear communication</li>
</ul>
Debug ML Infrastructure &amp; Distributed Workloads
<ul>
<li>Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems</li>
<li>Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues</li>
<li>Analyze logs, metrics, traces, and system behavior to isolate root causes</li>
<li>Debug containerized workloads running across Kubernetes and bare metal GPU environments</li>
<li>Support customers scaling workloads across multi node GPU systems</li>
<li>Diagnose performance bottlenecks involving compute, memory, networking, or storage</li>
</ul>
Improve Reliability &amp; Platform Operations
<ul>
<li>Identify recurring patterns across customer issues and drive long term reliability improvements</li>
<li>Contribute to post incident reviews and operational improvements</li>
<li>Build internal tooling, automation, documentation, and runbooks</li>
<li>Partner closely with infrastructure, networking, and platform engineering teams</li>
<li>Help improve observability, operational visibility, and troubleshooting workflows</li>
<li>Improve the customer experience through better processes and technical guidance</li>
</ul>
What This Role Is Not

To set clear expectations:
<ul>
<li>This is not a traditional help desk or ticket routing support role</li>
<li>This is not purely customer success or account management</li>
<li>This is not a backend engineering role</li>
<li>This is not a passive escalation position</li>
</ul>
This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers. 

<h2 class="jobSectionHeader">
What You'll Need</h2>
<h3 class="jobSectionHeader">Required Qualifications</h3>
<h4 class="jobSectionHeader">Infrastructure &amp; Systems</h4>
<ul><li>Strong software engineering and systems troubleshooting background</li>
<li>Experience with Kubernetes and containerized environments</li>
<li>Linux systems knowledge, including networking, storage, process management, and performance tuning</li>
<li>Experience with cloud infrastructure and distributed systems</li>
<li>Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry</li>
</ul><h4 class="jobSectionHeader">ML Infrastructure Experience</h4>
<ul><li>Hands on experience operating machine learning workloads in production or research environments</li>
<li>Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL</li>
<li>Familiarity with GPU infrastructure and orchestration</li>
<li>Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure</li>
<li>Understanding of the operational challenges involved in running ML systems at scale</li>
</ul><h4 class="jobSectionHeader">Collaboration</h4>
<ul><li>Strong communication skills and ability to work directly with highly technical customers and engineering teams</li>
<li>Comfortable operating in fast moving, highly ambiguous environments</li>
<li>Enjoys solving complex technical problems collaboratively</li>
</ul><h3 class="jobSectionHeader">Ideal Experience</h3>
<ul><li>Experience with large scale model training or distributed inference systems</li>
<li>Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms</li>
<li>Experience with InfiniBand, RDMA, or high-performance networking</li>
<li>Experience operating bare metal infrastructure</li>
<li>Familiarity with storage systems commonly used in ML environments</li>
<li>Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company</li>
<li>Contributions to platform engineering, developer infrastructure, or operational tooling projects</li>
<li>Experience writing automation, tooling, or scripts in Python or similar languages</li>
</ul><div><h2 class="jobSectionHeader">Benefits and Perks</h2>

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:
<ul>
<li>Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.</li>
<li>Meaningful Equity: RSUs that give employees a stake in the company's long-term success.</li>
<li>Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).</li>
<li>Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.</li>
<li>Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.</li>
<li>Paid Parental &amp; Family Leave: Paid leave to support you and your family through life's important moments.</li>
<li>Professional Development: Annual learning and development allowance to support your professional growth.</li>
<li>Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.</li>
<li>Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.</li>
<li>Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.</li>
<li>In-Office Meals: Complimentary meals at our office hubs.</li>
</ul>
Benefits may vary by location, team, and role. 


At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.</div></div>

AI Platform Support Engineer (US)

Starbucks

<div>
 Now Brewing &ndash; Software Engineer! #tobeapartner
 
 
 From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
 
 
 As an Engineer, you&rsquo;ll help deliver high-quality, reliable, and stable technologies and security capabilities that enable teams to build, release, and operate software with confidence. You&rsquo;ll support critical engineering capabilities through installation, configuration, monitoring, analysis, maintenance, and technical support&mdash;while modeling Starbucks guiding principles.
 
 
 As an Engineer, you will&hellip;
 
 
 <ul>
 <li>
 Enable fast, reliable delivery by supporting development teams, resolving developer issues, and engineering build and release processes.
 </li>
 <li>
 Strengthen reliability and observability by implementing service monitoring, deep telemetry, and high-availability operational support&mdash;automating solutions across the environment.
 </li>
 <li>
 Build secure and compliant foundations by implementing technologies aligned to information security principles, maintaining secure configurations/baselines, and upholding applicable policies and regulatory requirements.
 
 
 </li>
 </ul>
 
 We&rsquo;d Love To Hear From People With
 
 
 
 <ul>
 <li>
 0&ndash;4 years of professional industry experience with software development
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or related field
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Systems &amp; production operations: 1+ years in systems/network administration or systems engineering, plus hands-on production support (monitoring/telemetry, troubleshooting, incident response; 24x7/on-call a plus).
 </li>
 <li>
 Automation &amp; coding: 1+ years coding/scripting for automation in Python, Java, Go, or C/C++ (Ruby/Perl also welcome) with strong debugging skills.
 </li>
 <li>
 Cloud &amp; delivery tooling: experience with AWS/Azure and exposure to CI/CD or build/release tooling and automation.
 </li>
 <li>
 Core technical foundations: working knowledge of distributed systems, TCP/IP networking (DNS/routing), and databases/data stores (SQL/NoSQL).
 
 
 </li>
 </ul>
 As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to
 
 starbucksbenefits.com
 
 .
 
 
 <ul>
 <li>
 If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
 
 
 </li>
 </ul>
 The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
 
 
 We believe we do our best work when we're together, which is why we're onsite four days a week.
 
 
 
 Join us and
 
 
 inspire with
 
 
 every
 
 
 cup. Apply today!
 
 
 
 
 Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
 
 
 
 
 Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at
 
 applicantaccommodation
 
 or 1(888) 611-2258.
 
 
 
</div>

software engineer- ST, Seattle, WA

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems. 
 
AWS built a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. Engineers on these teams implement innovative cloud computing solutions and solve technical problems. 
 
Amazon Simple Storage Service (S3) is storage for the Internet. Through the use of pioneering techniques in distributed computing, developers are able to durably store their data on Amazon&rsquo;s proven computing infrastructure to achieve virtually limitless storage capacity at minimal cost. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, secure, fast, inexpensive infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers. 
 
The S3 Engineering team is responsible for maintaining and improving our government customer&rsquo;s cloud storage solutions by reacting to operational incidents while also delivering new and exciting S3 features. We're looking for an Engineer to join our team and be based in Maryland. 
 
We&rsquo;re looking for innovative engineers for the largest storage service on the internet. This position is perfect for professionals interested in creating tools and automation so that engineers can be as hands-off as possible. We want our service to be as automated as possible and that can only be done by having engineers who understand how to think big, simplify solutions to complex, never before seen problems; all while ensuring that the customer continues to have the best experience possible. 
 
We are seeking an engineer who is focused on operational excellence and troubleshooting complex system operations. They should also have a good understanding of Linux, networking and general knowledge of cloud services. At Amazon we have a drive to create the best customer experience possible, with the customers being both AWS customers and the other engineers at AWS who will benefit from collaborative contributions to ongoing operations and improving our support to our service. 
 
By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. 
 
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 
 
10012 
 
Key job responsibilities 
In this role, you will be able to take a defined project, break down the work to help define milestones, and feedback mechanisms. You will identify when implementations are not highly available or have defects; you investigate systemic patterns. You will resolve, mitigate, or escalate operational concerns in a timely manner. 
 
A day in the life 
<ul><li>Investigating new ways to improve operations and defining new solutions to solve technically complex cloud issues for our customers.</li><li>Taking a proactive approach to maintaining service health by investigating performance outliers through metric analysis and log diving.</li><li>Increasing service knowledge by diving deep into its architecture to better understand system configuration and dependencies.</li><li>Studying and learning along some of the industry&rsquo;s top experts on cloud computing and storage.</li><li>Expanding regional coverage for Amazon&rsquo;s Simple Storage Solution (S3).</li><li>Building and launching AWS services from ordering hardware to deploying software.</li><li>Participating in an on-call rotation.</li><li>Supporting the U.S. Intelligence Community and Defense agencies to implement innovative cloud computing solutions and solve unique technical problems.</li></ul> 
About the team 
Why AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
AWS Infrastructure Services (AIS) 
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+</li><li>1+ years Linux systems administration experience</li><li>1+ years technical troubleshooting / support experience</li><li>1+ years of networking experience</li><li>Current, active US Government Security Clearance of TS/SCI with Polygraph</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with distributed systems at scale</li><li>Experience with service-oriented architecture and web services</li><li>Experience with systems administration on either Linux/UNIX or Windows operating systems</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 - 91,000.00 - 152,000.00 USD annually</div>

ADC Engineer I, S3+Glacier Unique Regions

Whatnot

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

Data Engineer

Cisco

The application window is expected to close on: 08/28/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
 
This position is a hybrid role, requiring the employee to work both onsite and remotely. Candidates should be comfortable with a flexible work arrangement that balances in-office collaboration and remote work. Specific onsite days and remote days will be coordinated with the team and manager.
 
Meet the Team
 The Indexing Platform organization is a core part of Splunk's Indexing& Storage engineering group, responsible for building and operating the foundational services that power data ingestion, processing, indexing, and storage across Splunk Cloud. This role will lead the Noah Client team, which owns key client-side platform capabilities, while driving strategic initiatives across larger organization. Our mission is to build highly reliable, scalable, cloud-native infrastructure that supports petabytes of customer data across multi-cloud environment.
 
As an Engineering Manager, you'll lead a talented team of engineers and partner closely with architects and cross-functional teams to deliver the next generation of Splunk's indexing platform.
 
Your Impact
 
<ul>
<li>Lead, coach, and develop a team of software engineers, fostering an inclusive, high-performing engineering culture!</li>
<li>Drive execution of strategic initiatives across Indexing Platform priorities.</li>
<li>Partner with architects and TPMs to translate technical strategy into execution plans and deliver complex, multi-quarter initiatives.</li>
<li>Establish priorities, remove execution blockers, and balance feature delivery with platform investments, technical debt, and operational excellence.</li>
<li>Recruit, mentor, and retain engineering talent while supporting career growth and technical development.</li>
<li>Partner with technical leaders on architecture reviews, system design, and engineering planning for large-scale distributed systems.</li>
<li>Guide engineering decisions to ensure solutions are scalable, reliable, maintainable, and operationally efficient.</li>
<li>Drive engineering excellence through design reviews, code quality, testing, CI/CD, observability, and production readiness.</li>
<li>Lead operational excellence through incident response, post-incident reviews, and continuous reliability improvements.</li>
<li>Collaborate closely with Infrastructure, Data Management, Search, Operation, Product, and customer-facing teams to deliver cross-functional platform initiatives.</li>
</ul>
Minimum Qualifications: 
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li>
<li>8+ years of software engineering experience building distributed systems, including previous engineering management experience.</li>
<li>Demonstrated success leading software engineering teams delivering complex infrastructure or platform services.</li>
<li>Strong understanding of distributed systems, cloud-native architectures, and modern software engineering practices.</li>
<li>Proven ability to drive execution across multiple concurrent initiatives while partnering with senior technical leaders and cross-functional stakeholders.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience leading backend infrastructure, platform, or distributed systems engineering teams.</li>
<li>Experience partnering with Principal or Staff Engineers to execute long-term technical roadmaps.</li>
<li>Strong technical background in distributed systems, cloud infrastructure, and backend services.</li>
<li>Experience with Golang, C++, Java, or Python.</li>
<li>Experience with AWS, Azure, and/or Google Cloud Platform.</li>
<li>Familiarity with Kubernetes, Terraform, PostgreSQL, CI/CD, observability, and infrastructure automation.</li>
<li>Experience operating highly available production services and driving operational excellence.</li>
<li>Excellent communication, collaboration, stakeholder management, and coaching skills.</li>
<li>Passion for building high-performing teams and developing engineers.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Message to applicants applying to work in the U.S. and/or Canada:
 
The starting salary range posted for this position is $163,600.00 to $234,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
 
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
 
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
 
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
The applicable full salary ranges for this position, by specific state, are listed below:
 
New York City Metro Area: 
$183,800.00 - $303,100.00
 
Non-Metro New York state& Washington state: 
$163,600.00 - $269,800.00
 <ul>
<li>For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.</li>
</ul>
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Leader, Software Engineering (Hybrid)

SoFi

<div><div>Employee Applicant Privacy Notice

Who we are:
<div>
Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
</div></div>
The role 
We are seeking a Staff Vulnerability Management Engineer to lead the most complex technical work in SoFi's Vulnerability Management program. You will design and build scalable systems that identify, enrich, prioritize, route, and track vulnerabilities across applications, cloud and infrastructure, containers, software supply chains, and specialized hardware or firmware surfaces. This is a hands-on engineering role with broad technical influence: you will write production code, make architecture decisions, establish vulnerability management standards, and improve how teams understand and reduce vulnerability risk. 
You will partner with Engineering, Infrastructure, SRE, Compliance, Legal, and business stakeholders to accelerate remediation while protecting engineering velocity and customer trust. You will also serve as a senior technical responder for embargoed disclosures and zero-day events, lead root-cause analysis for high-impact vulnerability incidents, and mentor engineers. The ideal candidate combines deep vulnerability management expertise with strong software engineering judgment, systems thinking, and a bias for durable, measurable outcomes. 

What you'll do
<ul>
<li> Lead high-complexity vulnerability management initiatives and make architecture decisions for assigned program areas, from detection and assessment through ticket routing, remediation, exception handling, and closure validation.</li>
<li>Design, build, and productionize scalable triage and prioritization automation, including scanner and asset integrations, enrichment pipelines, decision logic, deduplication, ownership resolution, service-level tracking, observability, and failure recovery.</li>
<li>Develop risk-based prioritization models that combine CVSS, EPSS, CISA Known Exploited Vulnerabilities, threat intelligence, asset criticality, exposure, compensating controls, business context, and compliance obligations.</li>
<li>Engineer and improve vulnerability workflows across application security, cloud and infrastructure, containers and Kubernetes, open-source dependencies, secrets, software supply chain, and hardware-adjacent surfaces such as GPU, DPU/BlueField, BMC, and firmware.</li>
<li>Own or materially advance software supply chain capabilities, including SBOM inventory, dependency visibility, SLSA-aligned controls, and integration of SAST, SCA, secret scanning, and container scanning into CI/CD.</li>
<li>Act as a senior technical responder for critical vulnerabilities, embargoed disclosures, and zero-day events; coordinate technical assessment, containment, mitigation, patch deployment, validation, and executive communication with service owners and incident response teams.</li>
<li>Partner directly with development and platform teams to define practical remediation paths and, when appropriate, review or contribute secure changes in Python, Go, JavaScript/TypeScript, or infrastructure code.</li>
<li>Define technical standards for vulnerability severity, remediation service levels, exceptions, evidence, and closure criteria; ensure workflows support audit-ready reporting for applicable regulatory and compliance frameworks.</li>
<li>Produce actionable metrics, dashboards, and risk insights for technical and executive audiences, with clear accountability, trend analysis, compliance posture, and execution risks.</li>
<li>Lead root-cause analysis for high-impact vulnerability incidents and convert lessons learned into durable improvements to tooling, architecture, controls, and operating practices.</li>
<li>Evaluate and responsibly apply AI/ML and LLM-assisted techniques to security triage and decision support, with human-in-the-loop validation, measurable quality controls, and safe failure modes.</li>
<li>Build AI-assisted remediation workflows that partner with engineering teams to proactively identify, validate, and apply security patches, with appropriate testing, human oversight, rollback mechanisms, and measurable risk reduction.</li>
<li>Communicate complex security tradeoffs and program risks clearly to stakeholders across Engineering, Product, Operations, Legal, Compliance, and executive leadership.</li></ul> 
 
What you'll need
<ul>
<li>Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, or equivalent practical experience.</li>
<li>Deep expertise in vulnerability management, security engineering, and modern infrastructure, including cloud, containers, and distributed systems.</li>
<li>Strong programming or scripting skills in Python, Go, Java, or similar languages, with experience building automation at scale.</li>
<li>Deep knowledge of vulnerability management methods and standards, including CVSS, EPSS, CISA KEV, threat intelligence integration, asset and exposure context, remediation SLAs, exception governance, and risk-based prioritization.</li>
<li>Hands-on experience with modern vulnerability and application security tooling such as Wiz, Semgrep, Snyk, Socket, Rapid7, Tenable, Checkmarx, or equivalent platforms, plus experience tuning SAST, SCA, secret scanning, container, or cloud findings.</li>
<li>Experience designing end-to-end workflows that integrate scanners, asset inventories or CMDBs, ticketing systems, CI/CD platforms, data stores, dashboards, and alerting systems.</li>
<li>Working knowledge of cloud-native and software supply chain environments, including AWS, GCP, or Azure; Kubernetes and containers; build systems and package managers; SBOMs; and Infrastructure as Code.</li>
<li>Demonstrated ability to lead cross-functional technical initiatives, influence without direct authority, make sound decisions amid ambiguity, and drive work from concept through production operation and measurable outcomes.</li>
<li>Experience mentoring senior and developing engineers and raising engineering quality through design reviews, code reviews, standards, and incident leadership.</li>
<li>Strong written and verbal communication, business judgment, and the ability to explain how security choices affect engineering velocity, regulatory obligations, customer trust, and business risk.</li></ul> 
 
Nice to have
<ul>
<li>Experience managing security partnerships with hardware or software vendors, including embargoed disclosures, coordinated vulnerability disclosure, and pre-release remediation collaboration.</li>
<li>Production experience with security orchestration platforms such as Tines and serverless frameworks such as AWS Lambda or Google Cloud Functions.</li>
<li>Experience scaling vulnerability management in a high-growth, cloud-native environment or operating within FedRAMP, PCI DSS, SOC 2, ISO 27001, NIST, or comparable regulated environments.</li>
</ul><div><div>Compensation and Benefits</div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.</h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div>Internal Employees</div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Staff Vulnerability Management Engineer

Blue Origin

<div>Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!
Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide.
About This Role
Blue Origin is seeking a Senior Software Development Engineer to join the Software Engineering team supporting TeraWave in the Greater Seattle Area. In this role, you build the foundational platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, and gateways. This position focuses on embedded Linux and low-level platform infrastructure, spanning fleet management, operating-system services, hardware integration, security, observability, and networking performance. You will shape reliable, high-performance systems that operate aboard LEO satellites. Responsibilities
Responsibilities include but are not limited to:
<ul><li>Design core Linux platform infrastructure, including process management, custom initialization systems, and inter-process communication frameworks.
</li><li>Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements.
</li><li>Modify kernel subsystems to improve scheduling, memory management, and I/O performance for embedded satellite systems.
</li><li>Work with silicon, electrical, and RF teams to bring up hardware prototypes and optimize kernels for custom SoCs.
</li><li>Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links.
</li><li>Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms.
</li><li>Own the complete software lifecycle from architecture and development through deployment aboard LEO satellites.
</li></ul>Minimum Qualifications
<ul><li>Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience.
</li><li>At least 8 years of C or C++ experience in Linux or embedded environments.
</li><li>Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging.
</li><li>Experience with system-level debugging tools such as GDB, perf, and eBPF.
</li><li>Experience with Buildroot, Yocto, Bazel, or comparable build systems.
</li><li>Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
</li></ul>Preferred Qualifications
<ul><li>Infrastructure experience supporting large distributed systems or device fleets at scale.
</li><li>Proficiency with Rust or Python for systems tooling and automation.
</li><li>Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols.
</li><li>Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems.
</li>Ability to troubleshoot down to assembly code and hardware-level diagnostics. 
<li>
</li></ul> 
Base Pay Range for:
WA applicants is $248,830.00 - $348,361.65
Other site ranges may differ 
 
Culture Statement
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 
 
Export Control Regulations
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. 
 
Background Check
<ul><li>Required for all positions: Blue&rsquo;s Standard Background Check
</li><li>Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
</li><li>Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
</li>Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical 
<li>
</li></ul> 
Benefits
<ul><li>Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
</li><li>Stock Options for all regular employees (working at least 20 hours/week)
</li><li>Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
</li>Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. 
<li>
</li></ul> 
Equal Employment Opportunity
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. 
 
Affirmative Action and Disability Accommodation
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div>

Sr. Software Engineer

Explore 69+ Distributed systems engineer in Seattle this August. Find roles across top companies and apply now to boost your career.