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software engineer developer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AI is not just changing what software can do; it is fundamentally changing how software is built. We are building the next generation of developer tooling: an AI-native tool that redefines the software engineering workflow from the ground up. Our product sits at the center of a developer's day, and we are obsessed with making that experience fast, delightful, and powerful.
 
 
We are looking for engineers who are passionate about building exceptional user-facing client software. If you care deeply about UI responsiveness, interaction design, and the quality of tools engineers use to build software, this team is for you.
 
 
You will work alongside exceptional senior engineering talent solving hard problems at the frontier of AI and developer tooling. You'll have opportunities to work with and learn from best-in-industry senior engineering talent. In addition to the technical challenges provided by the innovative use cases that we are working on, you will also learn how to build a product that meets AWS's high bar for availability, scalability, and security.
 
 
You'll have a direct line to our customers' experience and a direct means of improving it. On a daily basis, you'll work with teammates to review each other's code, mentor and be mentored. You'll have an opportunity to lead from day one, from leading projects, to driving technical processes, to teaching and learning from your teammates. You will have real ownership, from setting technical direction to shipping features that developers notice and love.
 
 
Key job responsibilities 
Own the end-to-end delivery of high-impact, user-facing features built with TypeScript and React, from writing the technical spec to shipping to customers
 
 
Drive technical direction for client-side architecture and establish patterns that raise the bar for quality across the team
 
 
Work closely with designers and product managers to ensure every feature meets a high bar for developer UX and interaction quality
 
 
Build and use AI agents to accelerate your own development workflow
 
 
Exercise high judgment about when to guide, override, or take control from AI agents &mdash; knowing when to trust automation and when the situation demands your direct involvement
 
 
Mentor and guide less tenured engineers, helping them navigate technical challenges, grow their skills, and advance their careers
 
 
Work with Product and Design to deeply understand customer workflows and build backward from their needs, maintaining Amazon's commitment to starting from the customer
 
 
A day in the life 
Use AI agents to write code and move fast, and direct code review agents to help the team catch issues before they ship
 
 
Conduct design and UX reviews with your PM and designer to ensure every feature meets a high bar for developer experience
 
 
Take full ownership of a feature set actively used by customers, deliver high-impact features end to end, from the initial spec to the moment they ship, and take pride in building software that genuinely delights the developers who use it every day.
 
 
Participate in the team's Weekly Operations Review and understand the key metrics that drive our product
 
 
Work with your manager to understand how to grow your career at AWS and how to build a career growth plan
 
 
Become an active participant in all stages of our software development cycle, including roadmap planning and product review meetings
 
 
Work with other engineers to improve our operational effectiveness by designing new systems and making our current ones more effective
 
 
Help onboard new engineers and guide them in their first weeks at AWS
 
 
Hold a high bar for user experience in every feature you ship: obsess over every interaction, every millisecond of latency, and choose the path that serves users best even when it is harder to build
 
 
Continuously measure, monitor, and improve client-side performance across all supported operating systems
 
 
About the team 
We are a team of engineers who believe the way software is built is about to change permanently, and we are the ones defining that change. We are building an AI-native developer environment that sits at the intersection of cutting-edge AI and the craft of software engineering. Our team is obsessed with the developer experience: we care about performance, interaction design, and the small details that make a tool feel fast and effortless. We dogfood our own product every day, which means every improvement we ship makes us better engineers too. If you want to build the tools that shape how the next generation of software is written, this is the team for you.
 
 
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience</li><li>1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience</li><li>Experience using JavaScript frameworks such as angular and react</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>1+ years of agile software development methodology experience</li><li>Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node</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 - 143,700.00 - 194,400.00 USD annually</div>

Front-End Engineer, Kiro

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)

RealREPP

<div>
 RealREPP is currently teaming with a stable, growing and dynamic privately held commercial real estate owner/developer to assist them in recruiting for a Property Manager. This PM will assist in overseeing a portfolio in undefined, undefined!
 
 
 We are targeting someone who has 5+ years of experience within the commercial real estate industry. The PM will oversee the monthly reporting functions, assist in the budgeting process and will also build relationships with the tenants and vendors. This role will wear many different hats and we are looking for a true team player who wants to learn and grow within the commercial real estate industry.
 
 
 This position offers a great base salary, plus bonus, excellent benefits, 401K and also 1/2 day Fridays in the summer!
 
 
 
 Requirements
 
 
 
 
 <ul>
 <li>
 WA Real Estate License required.
 </li>
 <li>
 Bachelor&rsquo;s degree preferred.
 </li>
 <li>
 Property management accounting experience, budgeting, and CAM reconciliation experience required.
 </li>
 <li>
 Software experience in MRI, AvidXchange, Salesforce, and MS Suite preferred.
 </li>
 <li>
 Comfortable being in the office Monday &ndash; Friday.
 </li>
 <li>
 Must be a team player and have the ability to wear many different hats and prioritize effectively in a fast paced environment.
 
 
 
 </li>
 </ul>
 This position offers a great base salary, plus bonus, excellent benefits, 401K and also 1/2 day Fridays in the summer!
 
 
 If you are interested in applying for the role, please submit your resume via our website at www.RealREPP.com or email your resume directly to Resumes@RealREPP.com for consideration.
 
 
 
 <ul>
 <li>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.*
 </li>
 </ul>
</div>

Property Manager

<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

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

Odins3

<div>
 Odins3
 
 
 Remote / Seattle
 
 
 Full-time
 
 
 Posted 931 days ago
 
 
 AI Development
 
 
 3+ years
 
 
 $160K - $220K
 
 
 0.05% - 0.2% equity
 
 
 Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development.
 
 
 
 About This Role
 
 
 
 Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically.
 
 
 This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization.
 
 
 Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years ML engineering experience
 </li>
 <li>
 Strong Python, TensorFlow/PyTorch background
 </li>
 <li>
 Experience with computer vision and NLP
 </li>
 <li>
 Knowledge of web technologies and design principles
 </li>
 <li>
 Experience with MLOps and model deployment
 </li>
 <li>
 Understanding of design systems and UI/UX principles
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure)
 </li>
 <li>
 Knowledge of containerization and orchestration
 </li>
 <li>
 Experience with A/B testing and experimentation
 </li>
 <li>
 Strong data analysis and visualization skills
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop ML models for automated web design
 </li>
 <li>
 Build recommendation systems for design elements
 </li>
 <li>
 Implement computer vision for image processing
 </li>
 <li>
 Deploy and monitor ML models in production
 </li>
 <li>
 Research and prototype new AI capabilities
 </li>
 <li>
 Optimize model performance and accuracy
 </li>
 <li>
 Build data pipelines for training and inference
 </li>
 <li>
 Collaborate with design team on AI-generated layouts
 </li>
 <li>
 Implement MLOps best practices
 </li>
 <li>
 Contribute to ML platform and infrastructure
 
 
 </li>
 </ul>
 
 Required Skills &amp; Technologies
 
 
 
 Python
 
 
 TensorFlow
 
 
 PyTorch
 
 
 Scikit-learn
 
 
 Pandas
 
 
 NumPy
 
 
 Computer Vision
 
 
 NLP
 
 
 MLOps
 
 
 Docker
 
 
 Kubernetes
 
 
 AWS
 
 
 PostgreSQL
 
 
 Redis
 
 
 Airflow
 
 
 Git
 
 
 Benefits &amp; Perks
 
 
 Competitive salary: $160K - $220K
 
 
 Equity package: 0.05% - 0.2%
 
 
 Comprehensive health coverage
 
 
 Unlimited PTO and flexible hours
 
 
 $4,000 annual learning budget
 
 
 Top-tier hardware and equipment
 
 
 Remote work stipend
 
 
 Conference attendance support
 
 
 Health and wellness benefits
 
 
 Team building and social events
 
 
 Work Environment &amp; Team
 
 
 Work Environment
 
 
 Fully remote with optional quarterly in-person sessions. Flexible schedule with some overlap with PST hours.
 
 
 Reporting Structure
 
 
 Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team.
</div>

Machine Learning Engineer - Web Development AI

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

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