Qt/QML Hybrid Software Engineer (1 year Contract)

Day shift, Full-Time with Benefits Monday-Thursday: 7 am-4:30 pm Friday: 8 am-noon $26/+ hr. +Monthly bonus program is paid when company-wide monthly sales goal is reached. Duties: – Create programs and nests for Bystronic and Amada Laser, based on customer PDF/STP files. – Create programs and nests for Amada EMLK Punch/Laser Combo. Requirements: – 2 years of SolidWorks experience. – Experience with SigmaNest is helpful. – Strong knowledge of manufacturing sheet metal parts – Knowledge of flat pattern layout and laser machines – Excellent attendance history – Ability to work in a team oriented, fast-paced environment This is a full-time position. We offer a full benefit package including 100% employer paid medical, dental and life insurance. Dependent coverage, short and long-term disability, AFLAC, and vision is voluntary is at employee cost. 401k, paid holidays and paid vacation round out our benefit package. We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

At Skylight, we thrive on innovation and creativity, building products that bring families closer together. As a Full Stack Engineer within our Moonshots team, you'll be at the forefront of developing features that enhance user experiences across our platforms. This is a unique opportunity to work on both the frontend and backend aspects of our applications, contributing to a product loved by millions of users. We're looking for a seasoned Full Stack Software Engineer (Senior, Staff, or Principal level) to work directly with our GM of New Businesses and our cofounder/CTO to build out new AI-powered features across our platform. You'll work primarily in Ruby on Rails and Typescript (React and React Native) to bring zero-to-one products to life by integrating with LLMs from vendors like OpenAI. You should bring deep expertise in both front-end and back-end technologies, with deep mastery of Typescript and at least a working knowledge of (and willingness to learn) Ruby on Rails. Responsibilities Design, build, and launch new user-facing features powered by large language models (LLMs) Own major product initiatives from zero-to-one, in partnership with a small but mighty team Collaborate deeply with Product and Design to shape new products and features Integrate with third-party APIs like OpenAI and explore new model capabilities Contribute to codebases in Ruby on Rails, Typescript, React, and React Native Write maintainable, high-quality code with strong test coverage Mentor other engineers through code reviews and design discussions Requirements 6+ years experience building software products end to end Deep mastery of either Ruby on Rails or Typescript (React/React Native), and working fluency in the other Demonstrated ability to ship zero-to-one products as a solo engineer or team lead Experience working with LLMs or interest in developing Gen AI applications Clear communication and collaboration skills across disciplines Startup experience strongly preferred\ Nice to Haves Experience with OpenAI, Anthropic, or similar LLM providers Familiarity with prompt engineering or retrieval-augmented generation (RAG) Prior work on family-facing or consumer social products Benefits Our competitive compensation package includes: Competitive Salary + Equity Package 401K matching Wellness, learning, and home-office budgets Health, Dental & Vision Medical Plans Tremendous autonomy to set the direction of your work Unlimited PTO Company holidays on the first Friday of every month (Except November & December) Equal opportunity employer Skylight is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board! We hire across the U.S., but for legal reasons, we have to list NY and CO separately. For Colorado-based candidates, the range being offered for this role is $200-$250K based on experience and for California-based candidates, the range being offered for this role is $$200-$250K based on experience. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories in a manner consistent with the requirements of this law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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.

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.

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.

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.