Software Development Engineer III

Company: HiringEye

Website: Visit Website

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Pre-seed

Industry: Software Development

Job Description

About the Role

We are looking for a highly skilled Senior Software Engineer (SDE III) with deep expertise in Python, AI/ML, and scalable system design. You will play a key role in architecting complex systems, leading technical initiatives, and contributing to high-impact AI-driven solutions. This role is ideal for engineers who excel in solving complex problems, mentoring teams, and building production-grade AI systems.

Key Responsibilities

• Design, develop, and maintain high-performance software solutions using Python.
• Build and deploy AI/ML models, integrating them into large-scale applications.
• Architect scalable, reliable, and secure systems in distributed environments.
• Lead end-to-end feature development, from requirements and design to deployment.
• Collaborate with cross-functional teams including Product, Data Science, and DevOps.
• Evaluate new technologies, prototype solutions, and drive technical innovation.
• Mentor junior and mid-level engineers, conducting code reviews and sharing best practices.
• Troubleshoot and optimize applications for performance, scalability, and reliability.
• Ensure high standards of code quality, documentation, and testing.
  
  

• 7–15 years of professional software engineering experience.
• Strong expertise in Python (async programming, frameworks, performance optimization).
• Hands-on experience with AI / Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Solid understanding of data structures, algorithms, and system design.
• Experience building microservices and distributed systems.
• Strong knowledge of REST APIs, event-driven architectures, and cloud environments (AWS/Azure/GCP).
• Experience with containerization (Docker, Kubernetes).
• Proficiency in relational and NoSQL databases.
• Excellent problem-solving skills and ability to work in a fast-paced, remote environment.
  
  

• Experience with ML Ops tools (Airflow, MLflow, Kubeflow).
• Knowledge of NLP, generative AI, or LLM-based systems.
• Experience with CI/CD pipelines and infrastructure as code.
• Contributions to open-source projects.
• Prior experience in leading engineering teams or technical projects.