Contract Senior Software Engineer (Remote) (Vista, CA)

We are inviting dedicated individuals ready to pursue careers in technology. If you want to gain real coding experience, complete major projects, and prepare for junior developer jobs, this program is for you. This remote program provides nearly 900 hours of structured training and can be taken full-time or part-time. You will learn programming languages, developer tools, and workflows while building a résumé and portfolio for employers. 🖥️ Technology & Programming Fundamentals -Understand computer systems, networks, browsers, and internet functions -Study algorithms, data structures, security basics, and number systems -Practice Python scripting, command line tools, and flowchart design 💻 Web & Front-End Development -Build responsive websites with HTML5, CSS3, and Bootstrap -Create interactive apps using JavaScript, jQuery, and React.js -Practice modern web design and layout techniques 🗄️ Back-End & Database Development -Design and manage databases with SQL and SQL Server -Perform CRUD operations and relational database modeling -Build scalable applications with Python (Django) and C# (.NET Core) 🧑‍💻 Programming Languages & Tools -Learn C#, Python, JavaScript, HTML, CSS, SQL, and more -Use Git, GitHub, Visual Studio, and Team Foundation Server -Apply professional coding collaboration and version control 🧪 Capstone Projects -Complete two advanced projects (Python + C#) -Build portfolio-ready applications using Agile, Scrum, and DevOps -Practice debugging, teamwork, and problem-solving skills 🧰 Career Preparation -Learn résumé and cover letter writing for the tech industry -Practice coding interviews and whiteboard techniques -Prepare for entry-level developer opportunities 🚀 No prior training necessary. Remote-friendly program. Begin your journey as a developer today. 👉 Apply here: https://softwaredevpros.online/

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.

The Tech Academy delivers cost-effective and self-paced online coding boot camps that are tailored for beginners with no prior technical or coding knowledge. Our certification programs thoroughly cover in-demand skills for the tech industry, are endorsed by stellar online reviews and designed to fit around your personal schedule to prepare you for your tech career with a well-rounded tool kit. We have been offering thorough, budget-friendly, flexible, and trusted coding boot camps for over a decade. Founded in 2014, The Tech Academy specializes in certifying students in a wide range of technical specialties, including: AI, coding, cybersecurity, data science, app development, design, web development, and more. After your coding boot camp, our job placement specialists will provide you with career guidance. Our team has successfully placed over 1,000 graduates in technical positions, with most making an average of more than $30/hour in their first job after graduation. Here is an overview of The Tech Academy's certification programs: 1. FLEXIBLE SCHEDULING & SELF-PACED TRAINING 2. BEGINNER-FRIENDLY COURSES 3. WELL-ROUNDED & THOROUGH TRAINING 4. AFFORDABLE & BUDGET-FRIENDLY TUITION 5. OVER 1,000 5-STAR REVIEWS ONLINE 6. JOB PLACEMENT TRAINING & ASSISTANCE The Tech Academy’s online certification programs start at $5,980, with multiple tuition financing options available. Start your journey into the technology industry today with one of our award-winning online coding boot camps! Find out more here by contacting us here: https://thetechacademy.us Your dream job in tech is just a Tech Academy boot camp away!

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.

We are a neuroscience company in Boston which works on non-invasive neurostimulation devices. We are running a paid research study (18–50) in Charlestown. The study will take place over 20‑day window. You will be asked to come into the lab 0–1 lab times per day (60–120 min; with up to 60 min of low‑level brain stimulation).

This is a one time job and possibly more to come. If you have morals, this isn’t for you. I need someone who’s an expert in cloning voices or mimicking them to the exact and etc and is willing to do it regardless of the reasoning, but I’ll still explain the reason why and it’s a good one too, I need someone to mimic a certain persons voice, I have audio recording samples, it needs to sound exactly the same but saying a custom sentence/speech. Willing to pay up to 100 for this. Before anything, I’d need a sample to make sure it comes out perfect Ty!