Python Developer

• Lead the Development of Complex Systems: Design, develop, and deploy advanced software systems and applications that meet high standards of performance, scalability, and reliability.
• Collaboration and Innovation: Work closely with cross-functional teams, including engineers and product managers, to define and implement innovative solutions that address business needs.
• Technical Leadership: Provide mentorship and technical guidance to junior engineers, fostering a culture of continuous learning, best practices, and code quality.
• Code Quality and Review: Write clean, efficient, and maintainable code. Conduct thorough code reviews, offering constructive feedback to ensure adherence to coding standards.
• Troubleshooting and Optimization: Identify and resolve complex technical issues. Optimize system performance and enhance reliability.
• Continuous Learning and Adaptation: Stay updated with the latest industry trends and technologies. Evaluate and implement new tools and techniques to improve development processes and project outcomes.
• Full Lifecycle Participation: Engage in all stages of the software development lifecycle, from requirements gathering to deployment and post-release monitoring.

• Programming Expertise: 6+ years of strong experience in a high-level programming language (Python/Java).
• Distributed Systems: Deep understanding of distributed systems fundamentals, including scalability, availability, and fault-tolerance.
• Database Systems: Proficiency in both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Redis, BigData, Apache Druid etc) databases.
• Test Driven Development: Experience in Test Driven Development (TDD) to ensure code reliability and quality.
• Message Brokers: Hands-on experience with message brokers such as Kafka/RabbitMQ, or Amazon SQS, Google Pub/Sub.
• Cloud and Containerization: Proficiency with cloud platforms (AWS, Azure, or Google Cloud) , containerization technologies (Docker, Kubernetes) and CI/CD.
• Large Scale Applications: 5+ years of experience in building large-scale, data-intensive applications.
• Monitoring Tools: Familiarity with any monitoring and observability tools like New Relic, ELK Stack, and Grafana.
• Problem-Solving: Strong problem-solving skills with the ability to think critically and creatively.
• Communication and Collaboration: Excellent communication and teamwork skills, with the ability to thrive in a fast-paced, collaborative environment.

Expertia AI Technologies