Remote Software Development Career 🧑‍💻

Full-time, salaried with benefits position for a Richmond, VA-based software development company. If you love software development, are looking for a new opportunity, want to work with some of the most talented developers in Richmond, and are passionately concerned about the quality of your work, our client is looking for you. Minimum Required Skill Sets • Three years of hands-on, on-the-job experience with .NET framework/Core either C# or VB.NET (C# preferred) • Experience with ASP. Net • Three years of on-the-job client-side experience with HTML, CSS, and JavaScript • Experience with common web application technology, including AJAX, JSON, RESTful API • Three years of hands-on, on-the-job experience with SQL Server development, including stored procedures, functions, and triggers Applicants must have at least two years of college, two years of work experience in the field, excellent oral and written communication skills, and work references in the United States. Applicants must reside in the Richmond, Virginia metro area. Applicants must be a citizen, or be authorized to work in the U.S. We do not offer sponsorship. This is a hybrid work environment. You will work at our client's site for 1 or 2 days each week, and work remotely for the other days. We cannot accommodate 100% remote work for this project, but we may be able to for future projects.

As a Site Reliability Engineer at iSoftTek Solutions Inc, you will be responsible for ensuring the reliability, performance, and scalability of our applications and infrastructure. You will work closely with development teams to identify and resolve issues, implement automation and monitoring solutions, and optimize system performance. We are looking for a candidate who is passionate about system stability and has a strong background in Linux systems administration, scripting, and automation. The ideal candidate should have experience with cloud platforms such as AWS or Azure, as well as knowledge of containerization technologies such as Docker and Kubernetes. Requirements Requirements: 3+ years of experience as a Site Reliability Engineer or similar role Strong Linux systems administration skills Experience with scripting languages such as Python or Bash Knowledge of cloud platforms such as AWS or Azure Experience with containerization technologies such as Docker and Kubernetes Proficiency in using monitoring and alerting tools such as Prometheus, Grafana, or Nagios Understanding of networking protocols and concepts Strong problem-solving and troubleshooting skills Ability to work in a fast-paced and collaborative environment BS or MS degree in Computer Science or a related field Benefits What We Offer: Swift growth opportunities from both a financial and career perspective Financial security through competitive compensation, incentives, and retirement plans 100% paid medical insurance Paid vacation & time off 401(k) retirement savings with a generous company match Charity participation and matching The stability of a company with a record of strong financial performance for over two decades; Never had a lay-off and is 100% organically grown

Senior Data Analyst positions offered by Capital One, National Association (Richmond, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to Richmond, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R226052

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.

Are you ready to build a lasting career in technology? We’re searching for dedicated and ambitious individuals who want to learn coding, complete real projects, and prepare for developer roles. This training pathway offers everything you need to get started. This remote program, offered in both full-time and part-time formats, delivers about 900 hours of structured training plus applied projects. You’ll gain experience with core programming languages, essential developer tools, and proven workflows, while assembling a strong portfolio and resume for Software Developer opportunities. 🖥️ Technology & Programming Fundamentals • Learn how systems, networks, browsers, and the internet function • Explore algorithms, data structures, numbering systems, and cybersecurity basics • Hands-on Python scripting, command line utilities, and logical flow exercises 💻 Web & Front-End Development • Build functional websites using HTML5, CSS3, and Bootstrap • Add interactivity with JavaScript, jQuery, and React.js • Develop modern, responsive interfaces with design best practices 🗄️ Back-End & Database Development • Build and manage databases using SQL and SQL Server • Perform CRUD operations and study relational models • Develop robust back-end apps with Python (Django) and C# (.NET Framework/Core) 🧑‍💻 Programming Languages & Tools • Learn seven programming languages: C#, Python, JavaScript, HTML, CSS, SQL, and others • Use Git, GitHub, Visual Studio, and Team Foundation Server • Apply collaborative workflows with version control 🧪 Capstone Projects • Finish two large projects (Python + C#) to test your skills • Build Agile, Scrum, and DevOps experience into your portfolio • Strengthen collaboration, problem-solving, and debugging ability 🧰 Career Preparation • Receive support in resume writing, cover letters, and job searching • Train for whiteboarding and technical interview situations • Prepare to enter the workforce as a software or web developer 🚀 No previous training required. Remote learners welcome. Begin your pathway into technology today. 👉 Apply now: https://softwaredevpros.online/

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.