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Ranger Technical Resources

Ranger Technical Resources

www.rangertech.com

2 Jobs

63 Employees

About the Company

Ranger Technical Resources is a leading Technology Solutions and Staffing Firm. From our beginning in 1996, our unique process is what has made us the most trusted, innovative, and responsive IT Solutions Company to our clients. We are held in the highest regard for consistently providing quality solutions. We strive to be a dependable, cost-effective solution to our clients' IT Solutions, IT Consulting, and IT Staffing needs. Our goal is to maintain excellence by providing superior client service, a quality recruitment process, and effective solutions. Ranger is committed to developing each relationship to its fullest potential and continues to go the extra mile by providing value long after the business transaction is completed. It is for that reason that Ranger Technical Resources has become a leader in the Technical Recruiting Industry. Check out our Facebook page at www.facebook.com/rangertechnical Follow us on Twitter at www.twitter.com/rangertechnical Circle us on Google Plus at https://plus.google.com/108730248546219818943

Listed Jobs

Company background Company brand
Company Name
Ranger Technical Resources
Job Title
Frontend Developer
Job Description
**Job Title** Senior Frontend Engineer **Role Summary** Design, develop, and evolve complex web applications for a SaaS platform using React and TypeScript. Own feature full‑cycle delivery, drive performance, implement reusable component libraries, and maintain high coding standards within a collaborative product team. **Expectations** - Deliver scalable, maintainable, high‑performance UI code. - Champion UX/UI principles and accessibility. - Mentor junior engineers and participate in code reviews. - Keep current with front‑end innovations and recommend improvements. **Key Responsibilities** 1. Architect, build, and maintain large‑scale React/TypeScript applications, ensuring modularity and reusability through component libraries and design systems. 2. Own feature lifecycle: technical scoping, UI collaboration, implementation, CI/CD deployment, monitoring, and iterative enhancement. 3. Design and optimize component patterns (Storybook, Figma) for shared use across teams. 4. Collaborate with product, design, and backend engineers to shape user-facing features and influence API contracts. 5. Proactively profile and improve application performance, including load times and rendering efficiency. 6. Implement comprehensive testing strategies (unit, integration, E2E) using Jest, React Testing Library, Cypress, Playwright, or Selenium. 7. Ensure accessibility (WCAG, ARIA) and internationalization are baked into each component and page. 8. Manage front‑end builds and deployments via CI/CD pipelines (Docker, Kubernetes, Git). 9. Maintain high code quality through reviews, standards enforcement, and mentorship. 10. Advocate for front‑end best practices, security, and growth of engineering culture. **Required Skills** - 7+ years enterprise front‑end development experience. - Proficiency in React, TypeScript/JavaScript, CSS, and responsive design. - Strong component‑based UI architecture and reusable library creation. - Experience with accessibility, I18n, adaptive UI, and performance profiling. - Knowledge of AWS or similar cloud platforms and containerization (Docker, Kubernetes). - Test‑driven development with Jest, React Testing Library, Cypress, Playwright, or Selenium. - Familiarity with design tools (Figma) and component documentation (Storybook). - GIT source control, CI/CD pipeline management. - Advanced architecture concepts (DDD, event‑driven systems) preferred. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience. ---
Maine, United states
On site
Senior
03-11-2025
Company background Company brand
Company Name
Ranger Technical Resources
Job Title
Machine Learning Lead
Job Description
Job title: Machine Learning Lead Role Summary: Lead technical architect for integrating AI tooling and machine learning into data‑heavy applications. Provide hands‑on guidance to engineering teams on model development, deployment, and optimization, while shaping AI/ML strategy and ensuring responsible, scalable solutions. Expectations: • Deliver measurable productivity and insight gains through AI/ML prototypes and production features. • Drive cross‑functional collaboration to align AI initiatives with product and operational goals. • Maintain high standards for model reliability, safety, and ethical use. • Demonstrate proficiency in cloud‑native, CI/CD‑driven development environments. Key Responsibilities: - Advise teams on AI tooling (LLMs, copilots) and traditional ML practices for accelerated development, testing, and research. - Integrate AI/ML features into new and existing applications, ensuring reliability and scalability. - Build proofs‑of‑concept to showcase AI/ML impact on productivity, insight, and decision‑making. - Collaborate with product, data, and engineering leads to define AI/ML strategy, roadmaps, and best practices. - Translate complex AI/ML concepts into actionable engineering guidance and workflows. - Oversee model evaluation, performance tuning, and automated pipeline maintenance. - Review architecture and recommend AI/ML‑enabled patterns. - Lead technical decision‑making on model usage, deployment, and performance. - Champion responsible and ethical AI adoption within engineering teams. - Support rollout and evaluation of LLM platforms (e.g., Claude) and emerging AI tools. - Contribute to core software and application development as needed. Required Skills: - Python, JavaScript, React/Next.js, Node.js/NestJS. - Machine learning fundamentals, model evaluation, algorithmic thinking. - LLM integration, AI tooling (copilots, APIs). - Data analysis & modeling concepts, SQL. - Cloud architecture (AWS/GCP/Azure), CI/CD pipelines, testing automation. - System design, version control, API development, cloud‑native development. - Strong communication, mentorship, and stakeholder collaboration. Required Education & Certifications: - Bachelor’s degree (BS) in Computer Science, Data Science, Information Technology, or related field. - Relevant industry certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional ML Engineer, or equivalent) are preferred but not mandatory.
California, United states
Hybrid
Senior
30-12-2025