NDA, renewable energy assets | Senior Full Stack Engineer

SD Solutions

About The Position

On behalf of NDA, renewable energy assets, SD Solutions is looking for a talented Senior Full Stack Engineer to build high-performance, low-latency web applications. The ideal candidate will have expertise in our tech stack and proven experience designing solutions that handle significant traffic while maintaining sub-100 ms response times. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. This role is ideal for a performance-obsessed developer who enjoys solving complex scalability challenges and optimizing systems for maximum efficiency. NDA, renewable energy assets is your centralized view into the status and needs of your renewable energy assets. Collect, store, and learn from your digital assets in a single, centralized place, using the latest real-time monitoring and machine learning algorithms, to optimize your performance and reduce consumption, at scale. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Requirements

Technical Expertise
5+ years developing high-traffic web applications with modern JavaScript/TypeScript.
Expert proficiency in Next.js optimization (SSR, SSG, caching strategies).
Strong Nest.js experience with performance-focused API development.
Production experience with MongoDB optimization and query performance tuning.
Hands-on Redis experience for caching, session management, and pub/sub patterns.
Experience with message queue systems (RabbitMQ, Kafka, AWS SQS, or Google Pub/Sub).
High-Scale Systems Knowledge
Proven track record building systems handling 10M+ requests per day.
Deep understanding of distributed systems challenges and solutions.
Experience with database sharding, replication, and read/write splitting.
Knowledge of CDN integration and edge caching strategies.
Understanding of eventual consistency and CAP theorem implications.
Performance Focus
Experience optimizing applications for sub-100 ms response times.
Knowledge of memory management and CPU optimization techniques.
Proficiency with performance profiling and bottleneck identification.
Experience with load testing tools and performance benchmarking.
Understanding of network optimization and connection management.

Nice To Haves

Experience with real-time features using WebSockets or Server-Sent Events.
Knowledge of additional high-performance databases (e.g., PostgreSQL, Elasticsearch).
Familiarity with cloud-native services (AWS Lambda, Google Cloud Functions, Azure Functions).
Experience with A/B testing in high-traffic environments.
Background in data analytics and metrics-driven optimization.

Responsibilities

Frontend & Backend Development
Develop performant web applications using Next.js with TypeScript and server-side rendering optimizations.
Build robust RESTful APIs using Nest.js with efficient request handling.
Implement code splitting, lazy loading, and advanced optimization techniques for fast page loads.
Design reusable components with a performance-first mindset.
High-Scale Architecture
Design systems capable of handling 100 k+ concurrent users with minimal latency.
Implement horizontal scaling patterns and load distribution strategies.
Architect microservices with clear service boundaries and efficient inter-service communication.
Design fault-tolerant systems using circuit breakers and graceful degradation patterns.
Database & Caching Optimization
Optimize Database schemas and queries for high-throughput operations.
Implement strategic indexing and aggregation pipeline optimizations.
Design multi-level caching strategies using Redis for sub-millisecond data access.
Implement database connection pooling and query result caching.
Message Processing & Queues
Design asynchronous processing systems using message queues to decouple services.
Implement event-driven architecture for real-time data processing.
Build queue-based systems to handle traffic spikes and background jobs.
Optimize message throughput and processing latency.
Performance Engineering
Profile and optimize application bottlenecks using performance monitoring tools.
Implement efficient algorithms and data structures for high-frequency operations.
Design memory-efficient solutions and apply garbage collection optimizations.
Conduct load testing and capacity planning for traffic scaling.