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.
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.
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.
Preferred Qualifications
- 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.
Technical Challenges You’ll Solve
- Optimizing database operations to handle millions of concurrent reads with < 50 ms latency.
- Implementing caching strategies that reduce database load by 90 %+.
- Building queue systems that process 100 k+ messages per minute reliably.
- Designing APIs that maintain performance under extreme traffic spikes.
- Creating real-time features that scale to millions of simultaneous connections.
About the company:
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.
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