Senior Software Engineer

We are looking for an experienced and driven Senior Software Engineer to join our development team. This role is ideal for professionals with 5+ years of experience who are passionate about building scalable software and leading technical efforts. You will play a key role in designing, developing, and delivering robust software solutions, while mentoring junior engineers and contributing to the continuous improvement of our engineering practices.

Responsibilities:

• Lead the design, development, testing, and deployment of software applications.
  
• Write clean, efficient, and well-documented code following best practices.
  
• Own the maintenance and optimization of existing systems, ensuring performance and scalability.
  
• Conduct code reviews and provide mentorship to junior engineers.
  
• Collaborate with cross-functional teams including product managers, QA, and DevOps.
  
• Troubleshoot complex technical issues and implement robust solutions.
  
• Contribute to the planning and execution of agile development cycles.
  
• Drive adoption of modern tools, frameworks, and methodologies across the team.
  
  
  
  

Requirements

Requirements

• Bachelor’s degree in Computer Engineering, Computer Science, or a related field.
  
• 5+ years of hands-on software development experience.
  
• Proficient in one or more programming languages such as Java, Python.. etc.
  
• Strong understanding of software architecture and design patterns.
  
• Experience with relational and/or NoSQL databases and Git-based version control.
  
• Excellent problem-solving, debugging, and analytical skills.
  
• Effective communication and collaboration abilities.
  
• Demonstrated ability to take ownership of features or systems and drive them to completion.
  

Nice to Have:

• Hands-on experience with ETL pipelines and data integration tools.
  
• Strong familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services.
  
• Solid understanding of data modeling, data warehouse architecture, and analytics infrastructure.
  
• Practical exposure to AI/ML concepts, models, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  
• Experience with containerization, CI/CD pipelines, and DevOps practices.