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Company Description www.spkn.app Spoken is a first-of-its-kind social commerce marketplace powered by real consumers and their genuine connections. We turn everyday word-of-mouth moments into a scalable sales engine for brands—without influencers, ads, or the noise of traditional social media. Our platform catalogs real purchases from real people, making them discoverable and shoppable by their friends. This means brands get lower acquisition costs, higher trust, and authentic engagement, while consumers get a safe, private space to share and shop with people they actually know. We’re pre-seed, early in our journey, and building for massive scale. This is an opportunity to join at the ground floor, shape the product, own major technical decisions, and directly influence the trajectory of the company. Role Description We’re looking for a Founding Engineer who can take Spoken from MVP to a robust, scalable platform. You’ll be responsible for: • Product Ownership – Leading technical architecture, system design, and development for our mobile and web applications. • Hands-On Development – Building new features, integrating AI-driven product recognition, and optimizing for speed, reliability, and scalability. • Technical Vision – Making key stack decisions and setting engineering best practices. • Rapid Iteration – Moving quickly from concept to deployment, testing and refining based on real-world user feedback. • Team Building – Hiring and mentoring the future engineering team. • Partnership – Working directly with the founder to align product and business strategy and sharing in both the responsibility and the upside. This is not just a job—it’s true founder-level involvement, with equity and the opportunity to shape a category-defining product. This is an “all-in” role so an appetite for problem solving and entrepreneurship is key! Qualifications Must-Haves • Proven experience building and shipping consumer-facing web or mobile applications. • Strong proficiency in React Native, Flutter or other similar cross-platform frameworks and backend development. • Ability to design, build, and deploy scalable APIs and databases. • Experience with cloud platforms (AWS, GCP, or Azure). • Strong problem-solving mindset and a bias toward action—comfortable in a fast-moving, high-ambiguity startup environment. • Entrepreneurial spirit and willingness to own outcomes. Nice-to-Haves • Experience with AI/ML integration (image recognition, recommendation engines). • Background in marketplace or e-commerce platforms. • Prior startup or founder experience. • Located in the SF Bay Area (preferred for in-person collaboration). Compensation: Significant equity stake (5-20% depending on experience). Guaranteed salary & benefits upon pre-seed funding secured. Location: San Francisco Bay Area (hybrid/remote possible for the right person). Stage: Pre-seed, MVP in development, fundraising in progress.

Infrastructure Automation & Management:   Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services. Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager. Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery to support development teams. CI/CD Pipeline Management: Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to GCP environments. Integrate CI/CD pipelines with GCP services like Cloud Build, Cloud Source Repositories, or third-party tools like Jenkins Ensure pipelines are optimized for faster build, test, and deployment cycles. Monitoring & Incident Management: Implement and manage cloud monitoring and logging solutions using Dynatrace and GCP-native tools like Stackdriver (Monitoring, Logging, and Trace). Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime. Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution.   Security & Compliance:   Implement security best practices for cloud infrastructure, including identity and access management (IAM), encryption, and network security. Ensure GCP environments comply with organizational security policies and industry standards such as GDPR/CCPA, or PCI-DSS. Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks. Collaboration & Support: Collaborate with development teams to design cloud-native applications that are optimized for performance, security, and scalability on GCP. Work closely with cloud architects to provide input on cloud design and best practices for continuous integration, testing, and deployment. Provide day-to-day support for development, QA, and production environments, ensuring availability and stability. Cost Optimization: Monitor and optimize cloud costs by analyzing resource utilization and recommending cost-saving measures such as right-sizing instances, using preemptible VMs, or implementing auto-scaling.   Tooling & Scripting: Develop and maintain scripts (using languages like Python, Bash, or PowerShell) to automate routine tasks and system operations. Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations. Required Qualifications & Skills: Experience: 3+ years of experience as a DevOps Engineer or Cloud Engineer, with hands-on experience in managing cloud infrastructure. Proven experience working with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others. Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible.   Technical Skills: Strong knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI, CircleCI, or GCP Cloud Build). Proficiency in scripting and automation using Python, Bash, or similar languages. Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes. Familiarity with GCP networking, security (IAM, VPC, Firewall rules), and monitoring tools (Stackdriver). Cloud & DevOps Tools: Experience with Git for version control and collaboration. Familiarity with GCP-native DevOps tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization. Understanding of DevOps practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting.   Security & Compliance: Knowledge of security best practices for cloud environments, including IAM, network security, and data encryption. Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI). Soft Skills: Strong problem-solving skills with the ability to work in a fast-paced environment. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Team-oriented mindset with the ability to work collaboratively with cross-functional teams. Certifications (Preferred): Google Professional Cloud DevOps Engineer certification (preferred). Other GCP certifications such as Google Professional Cloud Architect or Associate Cloud Engineer are a plus. DevOps certifications like Certified Kubernetes Administrator (CKA) or AWS/GCP DevOps certification are advantageous.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AI. Requirements Key Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools. Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI. Model Development & Deployment: Proven ability to design, build, and productionize machine learning models. API Development: Skilled in developing robust APIs for seamless integrations. Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

If you’re driven to innovate and passionate about software, we invite you to build your career with us in a fast-moving and rewarding tech environment. We are a dedicated tech company looking for new learners ready to build real developer skills. Interested in mastering software and web development from home? This structured, remote program can be completed part- or full-time and includes nearly 900 hours of guided work with industry-standard tools and technologies. Key training areas: 🖥️ Programming & Tech Literacy • Explore system architecture, browsers, networking, and computing basics • Study algorithms, Python, command-line logic, and technical vocabulary 💻 Front-End Technologies • Use HTML, CSS, JavaScript, Bootstrap, and React.js • Build interactive, responsive, mobile-friendly web interfaces 🗄️ Back-End Systems & Databases • Design and use databases with SQL • Integrate backend services using Django and C#/.NET • Apply CRUD operations and relational logic 🧑‍💻 Languages & Tooling • Train in seven core programming languages • Work with Git, GitHub, Visual Studio, and team workflows • Apply version control and collaborative development principles 🧪 Capstone Projects • Complete two substantial projects (Python and C#) • Simulate professional development with Agile and DevOps practices • Showcase your skills in real-world coding scenarios 🧰 Professional Readiness • Practice technical interviews and coding challenges • Build a résumé that highlights your technical experience • Gain confidence transitioning into a development track Remote access provided. No prior experience required. Apply here: https://techschooldev.online/

NetX is a leading provider of DAM software for museums, heritage, and businesses from around the world. We’re a smaller company located in Portland, Oregon. We’re a passionate, collaborative team that believes in building not just software, but also relationships with our customers. This endeavor started more than 20 years ago, and continues to grow, thrive and excel. We are currently looking for the right person to grow with us as we expand our customer base. Visit www.netx.net to learn more about us. Objective NetX’s Systems Engineer looks at what's going on in our systems, and figures out how to fix it, which sometimes means designing new solutions from scratch. You will be part of a talented team of engineers that demonstrate superb technical competency, delivering mission critical infrastructure and ensuring the highest levels of availability, performance and security. In addition, you are responsible for providing advice regarding the appropriate hardware and/or software to ensure our SaaS platform remains robust and performant. We're looking for a team player to be a part of our dynamic, flexible environment, where we adhere to an approach inspired by the Shape Up methodology. We encourage self-organization and a collaborative atmosphere where team members from various functions work together to plan, prioritize, and execute tasks effectively. We'd love to hear from you if you're ready to contribute to our forward-thinking approach. Responsibilities ● Manage and monitor all installed systems and infrastructure. ● Install, configure, test and maintain systems, application software and system management tools. ● Proactively ensure the highest levels of systems and infrastructure availability. ● Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes. ● Maintain security, backup, and redundancy strategies. ● Write and maintain custom (e.g. Ansible) scripts to increase system efficiency and lower the human intervention time on any tasks. ● Participate in the design of information and operational support systems. ● Liaise with vendors for problem resolution. ● When addressing an issue, prioritize seeking a solution that resolves the problem in a more sustainable, long-term manner. ● Strive for automation. Actively working to implement automated processes and systems within the infrastructure. ● Actively search for areas where recurring reactivity can be transformed into proactive solutions. ● On-call rotation — tier 1 and tier 2 (See: NetX Incident Response Process). ● Assist Support on Ops and Platform related technical issues (Tier 2). Requirements ● BS/MS degree in Computer Science, Engineering or a related subject. ● Proven working experience in installing, configuring and troubleshooting UNIX /Linux based environments. ● Solid experience in the administration and performance tuning of application stacks (e.g.,Tomcat, Apache, NGINX). ● Solid Cloud experience, preferably in AWS. ● Experience with virtualization and containerization (e.g., Docker, Kubernetes, VMware, Virtual Box). ● Experience with monitoring and observability systems (e.g., Nagios/Icigna, Prometheus, Grafana). ● Experience with automation software (e.g., Ansible). ● Solid scripting skills (e.g., shell scripts, Python). ● Solid networking knowledge (OSI network layers, TCP/IP). Benefits We offer a competitive salary along with a benefits package that includes: ● Medical, Dental, and Vision Insurance ● Life and Short/Long Term Disability Insurance ● 401k Retirement with Employer Match ● PTO ● Paid Holidays ● Commuting Expense Assistance ● Flexible working arrangements ● Friendly dogs are welcome in the office!