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senior software development engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you enjoy helping U.S. Intelligence Community and Defense agencies implement innovative cloud computing solutions and solve unique technical problems? Would you like to do this using the latest cloud computing technologies and become a core part of the largest cloud infrastructure on the planet? AWS is seeking a ADC Engineer to own and advance mission critical services in our Amazon Dedicated Clouds (ADC).<br>
<br>
We are looking for Engineers to work as a team that build new services and deploying them to air-gapped regions and support government customers operating in those regions. You'll be part of a truly innovative team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, and believe that world class service is critical to customer success. You'll become an expert at platform diagnosis, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth.<br>
<br>
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.<br>
<br>
Key job responsibilities<br>
<ul><li>Troubleshooting, diagnosing and fixing production software issues</li><li>Developing monitoring solutions</li><li>Performing software maintenance and configuration</li><li>Implementing the fix for internally developed code (Perl, Ruby, C/C++, JAVA, Python)</li><li>Updating, tracking and resolving technical challenges</li><li>Working alongside development on AWS projects</li><li>Updating/enhancing our current software</li><li>Automation of support processes and documentation of our systems</li></ul><br>
About the team<br>
Why AWS<br>
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.<br>
<br>
AWS Infrastructure Services (AIS)<br>
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.<br>
<br>
Inclusive Team Culture<br>
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.<br>
<br>
Work/Life Balance<br>
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.<br>
<br>
Mentorship and Career Growth<br>
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.<br>
<br>
Diverse Experiences<br>
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"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)</li><li>2+ years of non-internship professional software development experience</li><li>1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>4+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience</li><li>Knowledge of systems engineering fundamentals (networking, storage, operating systems)</li><li>Current, active US Government Security Clearance of Top Secret with SCI eligibility or above</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with PowerShell (preferred), Python, Ruby, or Java</li><li>Experience working in an Agile environment using the Scrum methodology</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually</div><p></p>

Systems Development Engineer, Platform Engineering & Emerging Technology

Blue Origin

<div><p>Application close date:
</p>Applications will be accepted on an ongoing basis until the requisition is closed.
<p></p><p>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!
</p><p></p>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.
<p></p><p><b>About This Role
</b></p><p>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
</p><p></p><p><b>Responsibilities include but are not limited to:
</b></p><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><p></p><p><b>Minimum Qualifications
</b></p><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><p></p><p><b>Preferred Qualifications
</b></p><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.<br>
<li>
</li></ul><br>
<p>Base Pay Range for:
</p>WA applicants is $248,830.00 - $348,361.65
<p></p><p><b>Other site ranges may differ<br>
</b></p><br>
<p><b>Culture Statement
</b></p><p>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.<br>
</p><br>
<p><b>Export Control Regulations
</b></p><p>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.<br>
</p><br>
<p><b>Background Check
</b></p><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<br>
<li>
</li></ul><br>
<p><b>Benefits
</b></p><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.<br>
<li>
</li></ul><br>
<p><b>Equal Employment Opportunity
</b></p><p>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.<br>
</p><br>
<p><b>Affirmative Action and Disability Accommodation
</b></p><p>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.</p></div>

Sr. Software Engineer

SoFi

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
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. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p><b>
The role</b></p><p><br>
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.</p><p><br>
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.</p><p><br>
<b>
What you'll do</b></p>
<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><br>
<p><br>
<b>What you'll need</b></p>
<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><br>
<p><br>
<b>Nice to have</b></p>
<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><b>Compensation and Benefits</b></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 <b>Benefits at SoFi</b><b> </b>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 <b>accommodations@sofi.com.</b></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><b>Internal Employees</b></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

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's mission is to be Earth's most customer-centric company, and our Amazon Customer Service (CS) organization is an essential part of that mission. CS is one of the largest customer service organizations in the world with hundreds of thousands of associates providing support 24/7 in over 22 languages.<br>
<br>
The Network Solutions org within CS is building intelligent, adaptive systems that match customers to optimal experiences and continuously improve service quality at scale. The Journey Management (JM) Team within Network Solutions is looking for a Senior Business Intelligence Engineer to own the data modeling, analytics, and metrics infrastructure for Precision Match, the foundational capability that routes customers to the right support the first time for complete resolution. Journey Completion is the learning and corrective arm of Journey Management building Match Quality Intelligence that runs the flywheel to continuously refine matching quality and develops associates.<br>
<br>
In this role, you will design analytics-ready data models that transform raw pipeline data into structured datasets enabling inspection of matching quality at scale. You will own executive-facing dashboards and automated reporting for P0 Precision Match metrics including First Contact Resolution Rate, Transfer Rate, repeat contact rates, and attribution breakdowns. You will build BI capabilities that enable cross-functional partners to inspect matching performance and surface actionable insights without ad-hoc manual analysis. You will partner with engineering and science teams to define metrics governance, ensure data fidelity, and establish sources of truth for Precision Match reporting.<br>
The ideal candidate is a self-starter comfortable with ambiguity who communicates effectively across technical and non-technical teams and seeks to tell the story of the data with little direction.<br>
<br>
Key job responsibilities<br>
As the Senior Business Intelligence Engineer (BIE) for Journey Completion, you will be the single-threaded owner of the analytics and reporting infrastructure that powers Precision Match decision-making. You will operate at the intersection of data engineering, business intelligence, and product analytics, building systems that make matching performance visible, measurable, and actionable for leadership and cross-functional partners across a global CS network serving 500M+ annual contacts.<br>
<br>
Data Modeling and Dataset Engineering<br>
<ul><li>Design and build analytics-ready data models transforming raw pipeline data from matching, routing, and contact resolution systems into structured, queryable datasets.</li><li>Develop enriched datasets combining internal contact, associate, and routing data with attribution signals, applying data quality checks and ensuring source-to-consumption fidelity.</li><li>Work with cross-functional stakeholders to define and maintain sources of truth for Precision Match metrics. Obsessively monitor data fidelity and own resolution when issues arise.</li></ul><br>
Executive Reporting and Dashboards<br>
<ul><li>Build and own executive-facing dashboards and automated reports (daily, weekly, monthly business reviews) for P0 Precision Match metrics and attribution breakdowns.</li><li>Create standardized reporting and operational templates driving consistent metrics tracking across Journey Management leadership.</li></ul><br>
Analytics and Business Intelligence<br>
<ul><li>Develop analytics solutions enabling cross-functional partners to inspect matching performance, identify trends, and surface actionable insights at scale.</li><li>Manipulate and mine data from Redshift, MySQL, and other sources to perform root cause analyses on matching failures, answer complex business questions, and surface new insights on routing quality and associate performance.</li><li>Quantify Precision Match performance through attribution modeling distinguishing suboptimal matching from planning/supply factors and associate execution gaps.</li><li>Lead business discussions to share insights, challenge status quo, and provide forward-looking recommendations to enable strategic decision making and growth of Precision Match.</li></ul><br>
AI-Enhanced Reporting<br>
<ul><li>Build AI-powered reporting solutions including LLM-assisted insights, automated narrative generation, and intelligent alerting extending what stakeholders can do independently with data.</li></ul><br>
Cross-Functional Partnership<br>
<ul><li>Partner with engineering and science teams on metrics governance and data capture at source.</li><li>Translate complex business needs into clear data solutions across Journey Management, Precision Match science, and associate development teams.</li></ul><br>
About the team<br>
You will be part of a Product and Technology team in Customer Service/ Network Solutions org building the intelligence to understand why a match results in a transfer or repeat contact, applying attribution logic that distinguishes suboptimal matching from planning/supply factors and associate execution gaps. You will work alongside SDEs, BIEs, Data Engineers, Scientists, TPMs, and Product Managers to build the closed-loop feedback system continuously optimizing matching and developing associates serving 500M+ annual contacts.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of developing automated reporting experience</li><li>5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with AWS technologies</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually</div><p></p>

Senior Business Intelligence Engineer, Amazon Customer Service

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
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.
<br>
<br>
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.
<br>
<br>
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.
<br>
<br>
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.
<br>
<br>
Key job responsibilities<br>
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
<br>
<br>
Drive technical direction for client-side architecture and establish patterns that raise the bar for quality across the team
<br>
<br>
Work closely with designers and product managers to ensure every feature meets a high bar for developer UX and interaction quality
<br>
<br>
Build and use AI agents to accelerate your own development workflow
<br>
<br>
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
<br>
<br>
Mentor and guide less tenured engineers, helping them navigate technical challenges, grow their skills, and advance their careers
<br>
<br>
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
<br>
<br>
A day in the life<br>
Use AI agents to write code and move fast, and direct code review agents to help the team catch issues before they ship
<br>
<br>
Conduct design and UX reviews with your PM and designer to ensure every feature meets a high bar for developer experience
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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.
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Participate in the team's Weekly Operations Review and understand the key metrics that drive our product
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Work with your manager to understand how to grow your career at AWS and how to build a career growth plan
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Become an active participant in all stages of our software development cycle, including roadmap planning and product review meetings
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Work with other engineers to improve our operational effectiveness by designing new systems and making our current ones more effective
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Help onboard new engineers and guide them in their first weeks at AWS
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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
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Continuously measure, monitor, and improve client-side performance across all supported operating systems
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About the team<br>
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.
<br>
<br>
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.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Front-End Engineer, Kiro

Cloud Destinations

<p><b>Job Title:</b> VoIP Engineer IV</p><p><b>Number of Roles:</b> 1</p><p><b>Location:</b> Seattle, WA - ***Onsite 2-3 days per week*** (flexible/negotiable which days &mdash; not fixed team days, just needs on-site coverage during business hours at all times)</p><p><b>Duration:</b> 6 months CTH</p><p><b>Job Notes:</b>Team Structure</p><ul><li>Team of 3 today: 2 Level 1 engineers + 1 Level 4 engineer</li><li>This role would be a 2nd Level 4 (backfill/additional operational support)</li><li>Responsibilities include mentoring/training the lower-level engineers, especially on the new project being implemented Experience Requirements</li><li>Minimum 7 years experience</li><li>Negotiable/flexible if candidate has direct NovelVox experience or comparable/equivalent experience</li><li>Degrees/certifications count toward &quot;points&quot; &mdash; there's a tradeoff between formal education/certs and hands-on work experience</li><li>They want someone who's already done this or something very similar &mdash; not someone learning on the job (this is a high-visibility project, no room for a learning curve) The Project needing to start ASAP after worker is identified</li><li>Client uses Epic (hosted instance via University of Washington partnership)</li><li>Patient Access team is implementing Epic Cheers (call management module) with CTI integration</li><li>Current stack: Cisco Finesse / UCCX. New state: UCCX stays as backend, but calling interface moves from Finesse into Epic Cheers, with NovelVox building the integration layer</li><li>Future/secondary work (not immediate): Cisco WebEx AI agents / NLP &mdash; not expected to be 100% of role, will also share in daily operations, design, architecture, and other essential duties per the job description</li><li>High visibility/political importance: identified as one of the organization's top 3 projects; described as critical to org credibility/reputation with partners Compensation</li><li>Conversion Salary range: $120K low &ndash; $190K high annually</li><li>Recruiters (client side) typically anchor offers at mid-range; going above requires justifying via considerable experience</li></ul><p><b>Job Summary:</b></p><ul><li>The Voice over IP Engineer IV provides Fred Hutchinson Cancer Center (FHCC) with expert level engineering, architecture, design, implementation, operations, management, and technical leadership of complex voice over IP systems.</li><li>At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.</li><li>The role will be focused on specific projects and will require the following skill-set in addition to the standard Knowledge, Skills and Abilities expected for this level of engineer.</li><li>Experienced with the design, deployment and support of pre-built CTI connectors such as NovelVox, SpinSci or AMC. NovelVox deployment with Epic and Cisco Unified Communications Manager is preferred.</li><li>Expertise in REST APIs, JSON, SOAP services, HL7 fundamentals, FHIR basics, XML, Authentication, OAuth, SAML and interface troubleshooting.</li><li>Cisco Contact Center Platforms: Expertise with Unified Contact Center Express, Webex Contact Center and Webex Customer Assist.</li><li>Expert in SIP trunking, dial plans, and intelligent omnichannel routing (voice, chat, email).</li><li>Webex AI &amp; Automation: Skill in implementing Webex AI agents, virtual assistants, and automated screen-pop.</li><li>Healthcare Contact Center Experience including patient identiy verification, HIPAA compliance, Protected Health Information,</li><li><b>Knowledge, Skills and Abilities</b></li><li>Experience in architecting, implementing, and configuring complex Cisco IPT solutions with Cisco Unified Call Manager (CUCM) clusters, Cisco Unity/Unity Connection Voicemail (CUC), Cisco IM &amp; Presence (CIMP), and voice gateways.</li><li>Expert knowledge and expertise in the design, consultation, long-term planning, installation, management, and repair of complex VoIP based network and telecommunication equipment, related applications, and associated services.</li><li>Expert knowledge and expertise on Cisco Routers, Structured Cabling, and LAN/WAN circuits; PRI, SIP, MPLS, FXO, FXS, and POTS.</li><li>Expert knowledge and expertise of the Cisco Unified Call Manager, IMP, Telepresence, IPCC, Unity, CCX, SRST, CUBE, secure voice concepts, and secure voice processes.</li><li>Ability to think strategically and to work effectively with a diverse group of co-workers and customers.</li><li>Ability to analyze and provide creative, innovative solutions for complex problems.</li><li>Proficient organizational, interpersonal, communication (written and verbal), and presentation skills.</li><li>Demonstrated engineering leadership abilities in a team environment with a proven record of positive contributions.</li><li>Ability to complete multiple tasks, set priorities, and manage to critical deadlines.</li><li>Must be able to work non-standard business hours and be on-call as necessary.</li><li>Knowledge and expertise Cisco Emergency Responder (CER) &amp; Cisco Unified Contact Center Express (UCCX).</li><li>Knowledge on Cisco network infrastructure, LAN/WAN circuits; QoS.</li><li>Able to anticipate customer needs, assess requirements, and identify new solutions to meet departmental/organizational goals.</li><li>Additional Cisco Certifications in any of the following: CCIE (strongly preferred), CCSA, CCNP, CCDP, CCIP.</li><li><b>Required Education and Experience</b></li><li>Bachelor&rsquo;s degree in computer science, engineering, information systems, or related field, or equivalent combination of education and experience.</li><li>Minimum seven (7) years' experience in Voice Operations and/or Voice Engineering.</li><li>Minimum five (5) years of experience in information technology administration or engineering, with three (3) years of experience in the information technology VoIP, telecommunications, or networking field.</li><li>Minimum three (3) years of experience directly managing IT telecommunication or infrastructure engineering and operational resources.</li><li>Minimum three (3) years of experience in leading teams and projects.</li><li><b>Primary Essential Duties</b></li><li>Responsible for development and maintenance of business-critical communications and/or network-based voice product systems, including planning, designing, and implementing scalable local and wide-area network solutions between multiple platforms and protocols (including IP and VoIP).</li><li>Responsible for monitoring and performance of enterprise platforms.</li><li>Oversees/troubleshoots voice issues and coordinates installation efforts with appropriate vendors and internal teams.</li><li>Leveraging expertise and experience, the incumbent will develop solutions that best align with FHCC&rsquo;s voice network requirements, identifying cost-effective implementation and long-term support strategies.</li><li>Provide Tier 2 support of internal voice and data communication systems.</li><li>Comply with departmental processes, such as incident management, change management and problem management.</li><li>Monitor and report on voice systems usage, availability, and performance.</li><li>Lead telephony system evaluations.</li><li>Collaborate with other members of IT staff and end users.</li><li>Follow VoIP engineering best practices and adhere to existing policies and procedures.</li><li>Design rack and cabinet equipment layout for server rooms and other telecommunications rooms.</li><li>Report, manage and troubleshoot issues with appropriate vendor tech-support staff.</li><li>Perform advanced-to-expert level configuration, troubleshooting and problem mitigation on all voice equipment, including wireless and network security equipment.</li><li>Work effectively with vendors, contractors, and other staff to coordinate system installations and provide quality assurance oversight.</li><li>Identify and maintain tools/applications for network monitoring, control, and reporting.</li><li>Lead short and long-range capacity planning.</li><li>Lead design, planning, and implementation of voice and data network systems.</li><li>Track telecommunication equipment software/firmware levels/revisions and lead efforts to upgrade accordingly.</li><li>Lead the evaluation of functionality/feature sets needed for telecommunications and direct selection of the correct hardware/software accordingly.</li><li>Utilize project planning and management skills to act as lead on large projects.</li><li>Perform in-depth telecommunications analysis, and provide evaluation, determination, and direction.</li><li>Provide advanced telecommunications/VoIP designs, including diagrams and documentation.</li><li>Provide guidance, direction, mentorship, and training to lower-level staff.</li><li>Perform 24/7 on-call support on a rotating basis and after-hours/weekend work for planned maintenance as required</li></ul><p>Pay: $85.00 - $90.00 per hour</p><p>Application Question(s):</p><ul><li>How many years you have experience with Voice Operations and/or Voice Engineering?</li><li>How many years you have experience with telecommunication?</li><li>Do you have experience with Cisco IPT solutions with Cisco Unified Call Manager (CUCM) clusters, Cisco Unity/Unity Connection Voicemail (CUC), Cisco IM &amp; Presence (CIMP), and voice gateways?</li></ul><p>Work Location: On the road</p>

VoIP Engineer IV (Exp - 15+ years)

Lightning AI

<div><div><h2 class="jobSectionHeader"><b>Who </b><b>We Are</b></h2>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<h2 class="jobSectionHeader"><b>
The Way We Work</b></h2>
<p>
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:</p>
<ul>
<li><b>Move with Urgency:</b> We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.</li>
<li><b>Take Ownership:</b> We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.</li>
<li><b>Communicate Openly:</b> We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.</li>
<li><b>Build Great Teams:</b> We lead by example, empower others, and create healthy teams where people can do their best work.</li>
<li><b>Raise the Bar:</b> We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li>
<li><b>Think Long-Term:</b> 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"><b>What We're Looking For</b></h2>
<p>
Lightning AI is looking to hire an <b>AI</b> <b>Platform Support Engineer </b>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.</p>
<p>
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.</p>
<p>
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.</p>
<p><i>
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.</i></p><h2 class="jobSectionHeader"><br>
<b>
What You'll Do</b></h2>
<p><b>
Work Directly With ML Engineers</b></p>
<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>
<p><b>Debug ML Infrastructure &amp; Distributed Workloads</b></p>
<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>
<p><b>Improve Reliability &amp; Platform Operations</b></p>
<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>
<p><b>What This Role Is Not</b></p>
<p>
To set clear expectations:</p>
<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>
<p>This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What You'll Need</b></h2>
<h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<h4 class="jobSectionHeader"><b>Infrastructure &amp; Systems</b></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"><b>ML Infrastructure Experience</b></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"><b>Collaboration</b></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"><b>Ideal Experience</b></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"><b>Benefits and Perks</b></h2>
<p>
We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:</p>
<ul>
<li><b>Comprehensive Health Coverage:</b> Medical, dental, and vision coverage for employees and eligible dependents.</li>
<li><b>Meaningful Equity:</b> RSUs that give employees a stake in the company's long-term success.</li>
<li><b>Retirement Savings:</b> 401(k) matching (U.S.) and pension contributions (U.K.).</li>
<li><b>Flexible Time Off:</b> Unlimited PTO, company holidays, and floating holidays to support work-life balance.</li>
<li><b>Company-Wide Winter Break:</b> Two weeks of company closure each winter to disconnect and recharge.</li>
<li><b>Paid Parental &amp; Family Leave:</b> Paid leave to support you and your family through life's important moments.</li>
<li><b>Professional Development:</b> Annual learning and development allowance to support your professional growth.</li>
<li><b>Wellness Benefits:</b> Wellness and work-from-home stipends to support your physical and mental well-being.</li>
<li><b>Sabbatical Program:</b> Four weeks of paid sabbatical leave after four years of service.</li>
<li><b>Flexible Work:</b> Flexible schedules and a hybrid work model for our office-based teams.</li>
<li><b>In-Office Meals:</b> Complimentary meals at our office hubs.</li>
</ul>
<p>Benefits may vary by location, team, and role.</p><br>
<p></p>
<p><i>
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.</i></p></div></div>

AI Platform Support Engineer (US)

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