Backend Software Engineer | Distributed Systems | Scalable APIs | Production Reliability
Building high-performance backend systems that operate at scale across cloud and IoT environments. Experienced in debugging complex distributed systems, optimizing performance, and improving reliability in production.
- 🏗️ 3+ years of experience in backend engineering and distributed systems
- 🚨 Resolved 40+ production incidents/month across multi-tenant IoT platforms (50+ clients)
- ⚙️ Improved system reliability by identifying and fixing microservice bottlenecks
- 🔍 Strong expertise in real-time debugging, root cause analysis, and performance optimization
- 👥 Led engineering team of 9 to deliver full-stack production systems
- ☁️ Experience across cloud infrastructure, microservices, and scalable APIs
- Distributed Systems & Microservices
- Backend Architecture & API Design
- Production Debugging & Incident Response
- Performance Optimization
- Database Design & Query Optimization
- System Design
Languages: Python, JavaScript, SQL
Backend: Node.js, Ruby, REST APIs, gRPC
Databases: PostgreSQL, MySQL, MongoDB
Infra & Tools: Docker, AWS, Linux
Dec 2025 – April 2026 | Pune
- Owned debugging and resolution of high-impact production issues across distributed IoT systems
- Resolved 40+ incidents/month, improving uptime and platform stability
- Diagnosed issues across APIs, services, and databases in a real-time multi-service environment
- Improved system reliability by identifying architectural bottlenecks in microservices
2024 – 2025
- Taught Data Structures, Algorithms, and System Design concepts
- Mentored students in backend engineering and debugging techniques
2023
- Led a team of 9 engineers to deliver production-grade applications
- Designed scalable backend systems and managed deployments
2022 – 2023
- Built backend services and REST APIs for production systems
- Optimized database queries, significantly improving response times
2021 – 2022
- Developed backend components for cloud infrastructure systems
- Built APIs within a microservices architecture
- Designed concurrent bidirectional communication system using gRPC
- Focused on efficient message handling and real-time processing
- 🔗 https://github.com/pallasite99/gRPC-bidirectional-streaming-go
- Built ML model to classify AI vs human-generated content
- Applied NLP techniques for classification accuracy
- 🔗 https://github.com/pallasite99/AI-comment-classifier
- Built a platform to enable open expression and amplify voices
- Designed backend systems for scalability and content handling
- 🔗 https://github.com/pallasite99/truth-voice
- Designing high-scale distributed systems
- Improving observability and system reliability
- Solving complex backend performance problems
- Exploring AI + backend system integrations
- LinkedIn: https://linkedin.com/in/salil-apte
- GitHub: https://github.com/pallasite99
- Email: salil.apte99@gmail.com