Improved database query performance by 40% through optimization of SQL statements and index creation.
Reduced server response time by 25% by implementing caching strategies and load balancing.
Proficient in Python, Java, and Node.js with experience in microservices architecture.
Developed a scalable API gateway for a high-traffic e-commerce platform. Implemented rate limiting and authentication middleware to enhance security. Successfully handled peak loads of 10,000 requests per second during holiday sales events.
Increased test coverage from 65% to 95% by implementing comprehensive unit and integration tests.
Reduced cloud infrastructure costs by 30% through optimization of resource allocation and autoscaling policies.
Experienced in designing and maintaining RESTful APIs and GraphQL endpoints.
Led the backend development for a real-time collaborative document editing system. Implemented WebSocket connections for live updates and conflict resolution algorithms. Integrated the system with existing user authentication and storage services.
Improved application startup time by 50% through code refactoring and lazy loading techniques.
Reduced data storage costs by 35% by implementing efficient data compression and archiving strategies.
Skilled in designing and optimizing NoSQL database schemas for high-volume data processing.
Developed a backend system for a machine learning-powered recommendation engine. Implemented data pipelines for processing user behavior data and product information. Designed APIs to serve personalized recommendations in real-time to millions of users.
Increased system uptime from 99.5% to 99.99% by implementing robust error handling and automated recovery processes.
Reduced average API response time by 60% through implementation of in-memory caching and database query optimization.
Proficient in containerization technologies including Docker and Kubernetes for scalable deployments.
Built a distributed task queue system for processing large volumes of data asynchronously. Implemented retry mechanisms and dead letter queues for handling failures. Integrated the system with existing monitoring and alerting infrastructure for improved observability.
Improved code deployment frequency from bi-weekly to daily releases through implementation of CI/CD pipelines.
Reduced average bug resolution time by 40% by implementing comprehensive logging and monitoring systems.
Experienced in developing and maintaining serverless architectures using AWS Lambda and API Gateway.
Designed and implemented a backend system for a location-based social networking app. Developed geospatial indexing and querying capabilities for efficient proximity searches. Integrated push notification services for real-time user interactions and event alerts.
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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.
Proficiency in languages like Python, Java, JavaScript (Node.js), Ruby, or C# is typically expected. The specific language may depend on your tech stack.
Very important. They should be skilled in both SQL and NoSQL databases, understanding how to design, query, and optimize database operations.
Look for candidates experienced in designing, building, and maintaining RESTful APIs, and possibly GraphQL. They should understand API security and versioning.
Present them with a system design problem or a coding challenge that involves optimizing performance or solving a complex algorithmic issue.
Familiarity with major cloud platforms like AWS, Google Cloud, or Azure is beneficial. They should understand cloud architecture and serverless computing concepts.
Increasingly important. Look for knowledge of CI/CD pipelines, containerization (like Docker), and infrastructure-as-code concepts.
Strong communication skills, ability to work in a team, problem-solving aptitude, and a willingness to learn new technologies are key.
Ask about their experience with code reviews, unit testing, and their approach to writing clean, maintainable code. Consider a take-home coding assignment.
They should understand common security vulnerabilities, encryption methods, secure coding practices, and how to implement authentication and authorization.