Remote Computer Programming/Website Development Position

We are developing next-generation AI platforms that fuse finance and learning — built to deliver real execution and measurable results for businesses and professionals. We’re seeking visionary technical builders to join as Co-Founders / Founding Engineers at the pre-launch stage. This is not a traditional job — it’s an opportunity to shape a first-of-its-kind startup from the ground up. We’re especially interested in entrepreneurial talent with expertise in: • AI/ML Engineering • Full-Stack Development • Cloud Architecture • UI/UX Design Compensation: Equity-based founding role (with flexibility to discuss minimal salary support if needed). To apply: Please reply with a short note on your background, your key technical skills (e.g., AI/ML, full-stack, cloud, UX/UI), and attach your resume/CV. Selected applicants will then receive more details, including company information and a formal application link.

Job #EE25069 Job Title Software Control Engineer Office Location Roanoke, VA Business Function/Department Industrial Systems/Software Control Engineering Sales Territory, if applicable General Role Description Develop and test PC/PLC software control solutions for industrial systems applications that meet client specifications and fulfill project requirements Role Accountabilities -   Interpret, then implement software project design requirements in collaboration with the project team and client -   Build control system software files, such as AC and DC drive configurations, motion control, local and remote I/O mapping, automation control, sensors, and human-machine interface -   Develop and maintain embedded, real-time software for automation applications -   Develop and document software interfaces to client and third-party systems -   Perform system tests and simulations to ensure quality functionality -   Provide technical support during client witness of system test as needed -   Lead project design reviews to control project quality and schedule -   Provide technical support to commissioning engineers and clients during system installation -   Develop software engineering standards to improve productivity, increase quality, and reduce errors -   Develop engineering standards and procedures for new products General Employee Accountabilities -   Bring full effort to bear on tasks assigned by manager -   Give manager best advice -   Give earliest notice when work cannot be delivered as specified -   Cooperate and collaborate with peers and interact cross-organizationally as specified by manager -   Exemplify Company Core Values:  Integrity, Client Focus, Team Orientation, and Personal Commitment -   Comply with all Company policies, practices, and procedures and all regulations and laws -   Recommend viable improvements proactively -   Ensure effective utilization of business tools and processes Requirements Minimum Qualifications -   Bachelor’s degree in electrical engineering, mechanical engineering with control automation coursework, mechatronics, computer engineering, or related field or equivalent via education and/or work experience -   2 years’ experience in control system engineering -   Demonstrated experience with machine-level programming -   Demonstrated experience with software design for industrial PLC, distributed I/O, and HMI systems -   Demonstrated success as contributing member in project team -   Demonstrated successful and positive personal leadership, interpersonal, administrative, organizational, and communication skills -   Demonstrated successful working relationships with clients, suppliers, and other internal and external contacts -   Demonstrated continuous improvement in areas of responsibility -   Ability to climb and work on cranes at heights up to approximately 175 feet -   Availability to travel domestically and internationally, up to approximately 15% of the time, sometimes with limited notice Preferred Qualifications -   At least 2 years of engineering experience, specializing in industrial drive and motor control applications -   Demonstrated experience with GE PLC & HMI products -   Demonstrated experience with application and integration of laser and/or camera-based sensor systems in control and automation projects -   Demonstrated experience in embedded, real-time software application design -   Proficiency in Microsoft development tools such as Visual Studio, VC++, Visual Basic, SQL Server, .Net -   Demonstrated ability to apply new technology to meet evolving needs of the business and clients Link to TMEIC Corporation Americas website:  https://www.tmeic.com/.  To be considered an applicant for any available positions, individuals must complete an online job application for each posting.  A resume may be attached to the online application but is not considered a substitute for the information in the application.  Applications will be considered only for the specific position for which the application is submitted. EEO/AA/M/F/Vet/Disability Employer  

Senior Data Engineer positions offered by Discovery Communications, LLC (Bellevue, WA). Build software across our entire cutting-edge data platform, including event-driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies. Offering salary of $212,202 per year. Position reports to Bellevue, WA office. Telecommuting is permitted in accordance with company policy but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 9682917.

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.

About Us Domalytx is reimagining the future of home inspections by combining deep field expertise with cutting-edge technology. Founded and built by civil engineers with over 15 years and 5,000+ inspections under their belt, we know the real problems inspectors face and the level of accuracy homeowners and buyers demand. Headquartered in Silicon Valley, we bring a technology-first mindset to an industry that has long lagged behind in innovation. Our platform transforms inspections from a slow, manual process into a streamlined, AI-assisted experience where inspectors can simply walk, talk, and capture photos while the software generates clear, professional reports. Backed by our leadership in foundation, structural, seismic, and drainage inspections—the most complex and high-stakes areas in residential real estate—we are uniquely positioned to become the trusted standard for property condition reporting nationwide. Joining Domalytx means being part of a team that’s not just modernizing inspections, but building the platform that will define how homes are evaluated, bought, and maintained for decades to come. The Role We’re looking for an Industry Partnerships & Data Acquisition Lead to help us grow the network of professionals contributing to our platform. You won’t do this alone. You’ll be partnered with an industry veteran (engineer/inspector) who can jump in for credibility, sit in on Zoom calls, or join in-person meetings when technical authority is needed. You’ll drive the outreach and relationship-building; they’ll provide subject matter expertise when needed. This isn’t a traditional sales or data role. It’s part relationship-building, part process design, and part entrepreneurial hustle. You’ll be helping invent a new category. What You’ll Do • Focus on building trust to foster participation from our leads • Oversee the process of capturing and structuring data. • Partner with our industry expert for select calls and meetings to deepen credibility. • Document and improve our strategies for relationship building. • Track progress and report on what’s working and where to adjust. What We’re Looking For • Proven success in sales, partnerships, business development, or community engagement (bonus if with contractors, SMBs, or real estate pros). • Natural relationship-builder with strong communication skills. • High resilience — able to handle pushback and keep going. • Process-oriented: can turn messy lessons learned into repeatable systems. • Comfortable with CRM tools, spreadsheets, and documenting workflows. • Curious and adaptable — able to learn the basics of industry language quickly. • Entrepreneurial mindset: thrives in ambiguity and likes building from scratch. What We Offer • The chance to pioneer a role in a massive, untapped industry. • Direct mentorship from founders and collaboration with industry experts. • An industry partner at your side for credibility and support. • Competitive compensation with upside as we grow. • Remote flexibility, with occasional in-person visits depending on geography. • A mission-driven company improving how millions of homeowners make decisions. Why Join Now? No one in this industry has done this before. You won’t be plugging into a machine — you’ll help design it. If you want to be the first of your kind in a growing startup, and if you’ve got the hustle and curiosity to make it work, we’d love to hear from you. How to Apply Send us your LinkedIn profile, resume, a note about why this role excites you and share an example of a time when you had to hustle to convince someone or build a relationship from scratch. Thanks!

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.