bi engineer - data analytics

building engineer

data engineer

project engineer

software engineer

automation engineer

Starbucks

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

software engineer- ST, Seattle, WA

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
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). 
 
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. 
 
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. 
 
Key job responsibilities 
<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> 
About the team 
Why AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
AWS Infrastructure Services (AIS) 
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually</div>

Systems Development Engineer, Platform Engineering & Emerging Technology

Lightning AI

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

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

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

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

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

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

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

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

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

What You'll Do</h2>

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

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

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

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


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

AI Platform Support Engineer (US)

Odins3

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

Machine Learning Engineer - Web Development AI

SoFi

<div><div>Employee Applicant Privacy Notice

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

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

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

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

Staff Vulnerability Management Engineer

Cloud Destinations

Job Title: VoIP Engineer IVNumber of Roles: 1Location: 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)Duration: 6 months CTHJob Notes:Team Structure<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>Job Summary:<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>Knowledge, Skills and Abilities</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>Required Education and Experience</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>Primary Essential Duties</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>Pay: $85.00 - $90.00 per hourApplication Question(s):<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>Work Location: On the road

VoIP Engineer IV (Exp - 15+ years)

Plexlane

Plexlane Technologies is seeking a hands-on Cybersecurity Operations &amp; Infrastructure Engineer to support cybersecurity remediation, infrastructure hardening, and operational security initiatives for clients operating in regulated and defense-related environments.This role will support projects focused on NIST 800-171, CMMC readiness, vulnerability remediation, secure infrastructure operations, endpoint hardening, and network security improvements. The ideal candidate is technically strong across infrastructure and cybersecurity domains and comfortable working in fast-paced environments requiring both operational execution and client interaction.The position will work closely with security leadership, infrastructure architects, and client stakeholders to implement and operationalize cybersecurity improvements across cloud, endpoint, network, and on-premises environments.Key ResponsibilitiesCybersecurity Operations<ul><li>Support day-to-day cybersecurity operations and remediation activities across enterprise environments.</li><li>Investigate, prioritize, and remediate security vulnerabilities identified through internal and external assessments.</li><li>Assist with security monitoring, alert triage, logging, and incident response activities.</li><li>Support implementation and maintenance of security controls aligned to NIST 800-171 and CMMC requirements.</li><li>Participate in remediation tracking, validation, and documentation efforts.</li></ul>Infrastructure &amp; Endpoint Security<ul><li>Implement endpoint hardening and device compliance controls across Windows-based environments.</li><li>Support patch management, operating system updates, and secure configuration baselines.</li><li>Assist with Microsoft Intune, Microsoft Defender, endpoint encryption, and device management initiatives.</li><li>Support identity and access management activities including MFA, conditional access, and privileged access controls.</li><li>Perform server hardening and infrastructure remediation activities across cloud and on-premises systems.</li></ul>Network Security Remediation<ul><li>Support firewall administration, rule review, and network security remediation efforts.</li><li>Assist with VPN configuration, secure remote access, segmentation, and network hardening initiatives.</li><li>Support implementation and maintenance of secure network architectures and logging capabilities.</li><li>Assist with troubleshooting security-related network and connectivity issues.</li></ul>Security Tooling &amp; Monitoring<ul><li>Support deployment and operational management of cybersecurity tools and platforms.</li><li>Assist with SIEM/logging platforms, vulnerability management tools, endpoint security platforms, and monitoring systems.</li><li>Participate in operational security reviews and remediation planning.</li></ul>Documentation &amp; Collaboration<ul><li>Document remediation activities, technical changes, and operational procedures.</li><li>Work closely with cybersecurity leadership, infrastructure architects, and client IT teams.</li><li>Support evidence collection and operational readiness activities for compliance initiatives.</li><li>Participate in client meetings and provide technical updates as required.</li></ul>Required Qualifications<ul><li>5+ years of experience in infrastructure, systems, or cybersecurity engineering roles.</li><li>Experience supporting cybersecurity remediation or operational security initiatives.</li><li>Strong understanding of Windows infrastructure, endpoint management, and enterprise networking.</li><li>Experience with vulnerability remediation and security hardening practices.</li><li>Familiarity with network security concepts including firewalls, VPNs, segmentation, and secure remote access.</li><li>Experience with Microsoft security technologies such as:</li><li>Microsoft Intune</li><li>Microsoft Defender</li><li>Microsoft Entra ID</li><li>Microsoft Sentinel</li><li>Experience with vulnerability management tools such as Tenable, Qualys, or Rapid7.</li><li>Strong troubleshooting and problem-solving skills.</li><li>Ability to work independently and in client-facing environments.</li></ul>Preferred Qualifications<ul><li>Experience supporting NIST 800-171 or CMMC remediation initiatives.</li><li>Experience working in Aerospace &amp; Defense or regulated industries.</li><li>Familiarity with GCC High or Azure Government environments.</li><li>Experience with Palo Alto, Fortinet, Cisco, or similar network security platforms.</li><li>Exposure to SIEM/SOC operations and incident response workflows.</li><li>Experience with PowerShell or infrastructure automation.</li><li>Relevant certifications such as:</li><li>Security+</li><li>CISSP</li><li>Microsoft Security Certifications</li><li>CCNA / CCNP</li><li>Azure Security Certifications</li></ul>Key Attributes<ul><li>Hands-on and execution-oriented</li><li>Strong operational mindset</li><li>Comfortable working across infrastructure and security domains</li><li>Able to prioritize remediation activities in fast-moving environments</li><li>Strong communication and collaboration skills</li><li>Client-focused and professional</li></ul>Pay: $55.00 - $65.00 per hourApplication Question(s):<ul><li>Are you currently a U.S. Citizen or U.S. Permanent Resident (Green Card holder)? Specify which one.</li><li>Describe your hands-on experience supporting cybersecurity remediation initiatives aligned to NIST 800-171 or CMMC requirements.</li><li>Describe your experience with infrastructure and network security remediation, including areas such as firewalls, vulnerability remediation, endpoint hardening, VPNs, or secure remote access.</li><li>Describe your experience performing vulnerability management and remediation activities, including the tools used (e.g., Tenable, Qualys, Rapid7) and how you prioritized and resolved findings.</li><li>Please share link to your LinkedIn Profile.</li></ul>Work Location: Hybrid remote in Seattle, WA 98101

Cybersecurity Operations & Infrastructure Engineer

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