Increased application performance by 40% through optimizing database queries and implementing caching strategies.
Led development of 3 major features that contributed to a 25% increase in user engagement.
Proficient in React, Node.js, and PostgreSQL, with experience in cloud deployment using AWS.
Olivia recently developed a real-time collaboration platform for remote teams. She implemented WebSocket technology for instant updates and designed a microservices architecture for scalability. The project resulted in a 30% improvement in team productivity for early adopters.
Developed a custom CMS that improved content creation efficiency by 50% for a team of 20+ writers.
Optimized image processing pipeline, reducing storage costs by 30% while maintaining image quality.
Experienced in Agile methodologies, consistently delivering projects on time and within scope.
Maya led the development of a progressive web app for a fitness tracking startup. She implemented offline functionality and push notifications to enhance user experience. The app achieved a 40% higher retention rate compared to the previous version.
Reduced page load times by 70% through implementation of lazy loading and code splitting techniques.
Increased unit test coverage from 40% to 95%, resulting in a 60% reduction in reported bugs.
Skilled in designing and implementing RESTful APIs, with a focus on scalability and security.
Ethan created a blockchain-based supply chain tracking system for a logistics company. He developed smart contracts using Solidity and built a user-friendly frontend for tracking shipments. The system improved transparency and reduced disputes by 80%.
Migrated a monolithic application to a microservices architecture, improving scalability and reducing downtime by 80%.
Implemented CI/CD pipeline that reduced deployment time from 2 hours to 10 minutes and increased deployment frequency by 300%.
Proficient in both SQL and NoSQL databases, with experience in data modeling and optimization for large-scale applications.
Zara developed an AI-powered chatbot for customer support in the banking sector. She integrated natural language processing capabilities and connected the bot to the bank’s secure backend systems. The chatbot successfully handled 70% of customer queries, significantly reducing support ticket volume.
Reduced API response times by 60% through implementation of GraphQL and server-side caching.
Automated deployment process, cutting release time by 75% and reducing deployment-related errors by 90%.
Strong advocate for test-driven development, consistently maintaining over 90% test coverage in projects.
Rahul built a machine learning-powered recommendation engine for an e-commerce platform. He integrated the ML model with the existing backend and created a responsive frontend to display personalized product suggestions. The feature increased average order value by 15% within the first month of deployment.
With our extensive candidate network and dynamic team search approach, Redfish recruiters can greatly reduce your time to hire compared to in-house hiring processes.
Redfish recruiters handle every step of the process, including finding talent, screening candidates, scheduling interviews, conducting reference checks, and negotiating the offer, freeing up your in-house HR staff to focus on their other responsibilities.
We form the same in-depth relationships with clients that we establish with candidates, taking the time to fully understand your company and needs and giving each client a single point of contact for all communications.
We understand the roles we recruit for inside and out, whether that’s the technical jargon familiar to engineers and programmers or the skills that make an exceptional sales or marketing hire. When we send along a candidate, you can trust they have what it takes to excel.
With 20+ years in the recruiting industry, Redfish Technology has built an extensive network of connections and candidates, and our reputation precedes us. We’re a recruiting firm top talent wants to work with, giving you access to better talent than you’ll find from other services.
Look for proficiency in both frontend (HTML, CSS, JavaScript, frameworks like React or Angular) and backend (languages like Python, Java, or Node.js, and databases) technologies. They should also understand DevOps concepts and have experience with cloud platforms.
While knowledge of specific technologies is valuable, prioritize candidates who demonstrate the ability to learn quickly. The tech stack evolves rapidly, so adaptability is key.
Aim for a balance, but this may depend on your project needs. Ideally, a Full Stack Engineer should be comfortable working across the entire stack, with perhaps a slight inclination towards one end.
Present them with real-world coding challenges or system design problems during the interview. Look for their approach to breaking down complex issues and their ability to explain their thought process clearly.
They should understand CI/CD pipelines, containerization (e.g., Docker), and be familiar with cloud platforms like AWS or Azure. Hands-on experience with deployment and server management is a plus.
Very important. Look for strong communication skills, teamwork ability, and project management experience. Full Stack Engineers often bridge different teams and need to explain complex concepts to non-technical stakeholders.
While not always necessary, experience with responsive web design is crucial. Knowledge of mobile-specific frameworks like React Native or Flutter can be a valuable bonus.
Ask about their experience with both SQL and NoSQL databases. Discuss scenarios involving data modeling, query optimization, and scaling databases for high-traffic applications.
Inquire about their experience with common web security threats (e.g., XSS, CSRF) and best practices for securing both frontend and backend systems. Knowledge of authentication and authorization protocols is crucial.