Staff Software Engineer (Full Stack Python & React Proficiency) – India (remote)

About Neuralix.ai
At Neuralix.ai, we are at the forefront of innovation, leveraging cutting-edge technologies to build intelligent and scalable software solutions. Our mission is to revolutionize industries through advanced AI and machine learning applications. We value creativity, collaboration, and a passion for solving complex challenges.

Role Overview
We are seeking an experienced Staff Software Engineer with a strong background in the Python & React stack to join our growing team. In this role, you will lead the development of key systems, mentor a talented group of engineers, and play a pivotal role in shaping the technical direction of our products.

Key Responsibilities

• Architectural Leadership: Lead the design and architecture of complex software systems, ensuring they are scalable, maintainable, and secure.
• Technical Mentorship: Guide and mentor junior and mid-level engineers, fostering a culture of continuous learning and technical excellence.
• System Development: Develop, test, and deploy high-quality software solutions using Python and related technologies.
• Collaboration: Work closely with cross-functional teams, including Product, Design, and Operations, to deliver impactful solutions that align with business goals.
• Innovation: Stay current with industry trends, tools, and technologies, and proactively introduce improvements to our development processes and tech stack.
• Code Quality: Ensure that all code adheres to high standards of performance, security, and scalability through rigorous code reviews and testing.
• Problem-Solving: Tackle complex technical challenges, troubleshoot issues, and ensure the reliability of our systems.
• Documentation: Maintain clear and comprehensive documentation of system architectures, APIs, and development processes.

Qualifications

Education Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Experience Over 6+ years of experience in software development, including at least 4 years in a senior or staff engineer role, with a focus on Python. At least 2 years of experience with React and a minimum of 1 year working in a data-related domain.

Technical Skills
o Expertise in Python and associated frameworks (e.g., Django, Flask, Fast API).
o Strong experience in developing RESTful APIs and working with microservices.
o Deep understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
o Proficiency in both relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
o Solid understanding of CI/CD practices and tools.
o Experience with asynchronous programming and event-driven architecture.

Optional Skill

o Experience in building frameworks / libraries in Python is preferred.
o Experience with ETL and Orchestration tools ( e.g. Air byte, Airflow ) is preferred.
o Experience with Data lakes is preferred.
o Experience with Monitoring tools (e.g. Grafana, Loki, Prometheus ) is preferred

Soft Skills

o Strong leadership and communication skills.
o Ability to thrive in a fast-paced, collaborative environment.
o Excellent problem-solving skills with a strategic mindset.
o Capability to manage multiple projects and prioritize effectively.

*What We Offer *

o A competitive salary ( Considering the candidate's professional experience and interview performance) and benefits package with 100% company sponsored Mediclaim benefits.

o An opportunity to be at the cutting edge of AI-driven sustainability initiatives.

o A collaborative, growth-oriented environment.

o Remote work and a dynamic work culture.

o Opportunities for continuous learning and professional development.

Application Process

If you are passionate about this opportunity and want to be part of a dynamic team, we’d love to hear from you. Please send your updated resume and a cover letter to [email protected].
Neuralix.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.