Software Engineer

Summary

Software Engineer with experience building scalable systems, cloud infrastructure, and data-driven applications across industry environments including enterprise cloud platforms, biotechnology, and industrial optimization. Part of the Optimization team at a company, developing high-performance solutions with a focus on systems reliability, concurrency, and performance-critical C++ components.

Previously contributed to large-scale distributed systems and cloud infrastructure in roles at AWS, Amgen, and Tata Consultancy Services, working across backend services, full-stack development, and cloud-native architectures. Experience includes designing and optimizing software systems, implementing telemetry and monitoring solutions, and developing applications using modern technologies such as C++, Python, Java, React, and cloud platforms.

Holds a Masters degree in Computer Science. Interested in building high-performance platforms, distributed systems, and AI-enabled software solutions that operate reliably at scale.

Expectations

I am looking for a role where I can contribute to building scalable, reliable, and high-performance software systems while continuing to grow as an engineer. I am particularly interested in working on challenging problems involving distributed systems, backend infrastructure, and performance-critical applications.

I value environments that encourage strong engineering practices such as thoughtful system design, rigorous code reviews, observability, and a focus on reliability and performance. I am also interested in opportunities where I can collaborate with experienced engineers, contribute to impactful products, and continuously learn new technologies across systems, cloud platforms, and modern software architectures.

Ideally, the role would allow me to leverage my experience in systems programming, backend development, and cloud technologies while contributing to the development of robust platforms that operate at scale and solve real-world problems.

Employment Preferences

Expected Base Salary

**,000 USD

Expected Total Compensation

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Software Engineering
• Backend Engineering
• Full Stack Development
• Platform Engineering
• Distributed Systems
• Systems Programming
• High Performance Computing
• Concurrent Programming
• Multithreading
• Multiprocessing
• Parallel Computing
• Locking Mechanisms
• Synchronization
• Producer Consumer Pattern
• Thread Pools
• Performance Optimization
• Profiling
• Memory Optimization
• Algorithm Design
• Data Structures
• Object Oriented Programming
• Software Architecture
• System Design
• Scalable Systems
• Fault Tolerant Systems
• Reliability Engineering
• Observability Engineering
• Application Performance Monitoring
• Infrastructure Monitoring
• Telemetry Pipelines
• Logging Systems
• Metrics Collection
• Distributed Tracing
• Incident Response
• Root Cause Analysis
• Debugging
• Performance Tuning
• Code Optimization
• C++
• Modern C++
• STL
• Multithreading In C++
• C++ Performance Optimization
• Python
• Java
• JavaScript
• TypeScript
• Golang
• Shell Scripting
• Bash
• REST APIs
• Microservices Architecture
• Backend Development
• API Development
• Web Services
• Service Oriented Architecture
• Event Driven Systems
• Asynchronous Programming
• RPC
• GRPC
• Message Queues
• Kafka
• RabbitMQ
• React
• Angular
• Frontend Development
• Web Applications
• Node.js
• Spring Boot
• RESTful Services
• Web Architecture
• UI Development
• Cloud Computing
• Cloud Architecture
• AWS
• Microsoft Azure
• Cloud Native Applications
• Containerization
• Docker
• Kubernetes
• Infrastructure As Code
• DevOps
• CI
• CD
• Jenkins
• GitHub Actions
• Build Pipelines
• Deployment Automation
• Dynatrace
• SolarWinds
• Observability Platforms
• Monitoring Tools
• Telemetry Data Pipelines
• Distributed Logging
• Application Monitoring
• System Instrumentation
• Performance Monitoring
• SQL
• NoSQL
• PostgreSQL
• MySQL
• MongoDB
• Redis
• Database Design
• Query Optimization
• Data Modeling
• Machine Learning
• Natural Language Processing
• Text Classification
• Feature Engineering
• Model Training
• Model Evaluation
• Scikit-learn
• Logistic Regression
• Support Vector Machines
• Neural Networks
• Decision Trees
• XGBoost
• Model Regularization
• Data Analysis
• Python Data Science
• Large Language Models
• LLM Integration
• Prompt Engineering
• LangChain
• AI Applications
• Generative AI Systems
• AI Powered Applications
• Algorithms
• Competitive Programming
• Graph Algorithms
• Dynamic Programming
• Greedy Algorithms
• Search Algorithms
• Complexity Analysis
• Linux Systems
• Unix Systems
• Networking Fundamentals
• TCP
• IP
• Service To Service Communication
• Network Performance
• Low Latency Systems
• High Throughput Systems
• Software Development Lifecycle
• Agile Development
• Code Reviews
• Technical Documentation
• Cross Functional Collaboration
• Production Systems
• Scalable Infrastructure
• Enterprise Software Development