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senior software engineer backend full stack data cloud

Cisco

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

Leader, Software Engineering (Hybrid)

SoFi

<div><div><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

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)

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

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)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At AWS Cloud &amp; AI Innovation team, our mission is to accelerate customer adoption of AI and maximize the value they get from this technology.
<br>
<br>
As Applied Scientist on our team, your focus will be on solving the most complex problems that prevent our customers from successfully adoption AI at scale. You will research new methods for overcoming obstacles that are beyond engineering solutions. These include advanced methods for agent grounding and evals, novel methods for multi-agent orchestration and semantic data layer, and innovative approaches to optimizing customer token costs, just to name a few.
<br>
<br>
A successful candidate will have a strong machine learning background, a deep understanding of the AI stack, and a desire to push the envelope in applying AI to the most difficult practical problems preventing adoption at scale and in business-critical situations.<br>
<br>
As a senior member of the team, you will own ambiguous, high-impact research problems end-to-end &mdash; from defining the scientific direction to conducting the research, to packaging it into a reusable solution that the rest of the team can apply in customer-facing engagements.
<br>
<br>
As an Applied Scientist, you will leverage your technical expertise to set the research agenda for how we measure conversational quality, mentor engineers and architects, and partner across science, engineering, and business teams. You will analyze and understand customer experiences and develop novel approaches to solving complex problems in applied AI.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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 - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, CAIT

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
10012<br>
<br>
Key job responsibilities<br>
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.<br>
<br>
A day in the life<br>
<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><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>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"><b>
PREFERRED QUALIFICATIONS</b></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><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 - 91,000.00 - 152,000.00 USD annually</div><p></p>

ADC Engineer I, S3+Glacier Unique Regions

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