Job Description

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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