Senior Software Development Engineer

• Lead the design, development, and delivery of complex software applications and platforms, providing technical leadership across solution design, analysis, coding, testing, integration, and deployment activities. 

• Drive end-to-end execution of software engineering initiatives, ensuring solutions are scalable, maintainable, secure, and aligned with business and technical objectives. 

• Review and evaluate software designs, architecture decisions, and development activities to ensure alignment with engineering standards, improve solution quality, and reduce operational and delivery risk. 

• Provide technical expertise and engineering leadership for cross-functional projects, influencing technical direction, resolving complex challenges, and enabling successful delivery across organizational boundaries. 

• Champion the evaluation, adoption, and integration of emerging technologies, tools, and engineering practices that improve product capabilities, developer productivity, and overall solution effectiveness. 

• Contribute to the definition and evolution of software engineering standards, development methodologies, and best practices that support consistent and high-quality delivery. 

• Mentor and coach engineers through technical guidance, design reviews, knowledge sharing, and hands-on collaboration, helping to strengthen engineering capability across the team. 

What you need to bring:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience. 

• Typically 6-10 years of software engineering experience designing and delivering enterprise applications and platforms. 

• Experience developing applications using the MERN stack and Python. 

• Experience with CI/CD pipelines and tools such as GitOps, Docker, Jenkins, or GitHub Actions. 

• Experience with software systems architecture, including designing and integrating solutions across multiple platform types. 

• Experience evaluating software testing methodologies, developing test plans, debugging complex issues, and creating testing tools and automation. 

• Experience working with AI/ML, cloud technologies, MLOps, large language models, and agentic AI concepts.