Software Engineering Manager

KEY ACCOUNTABILITIES

• Oversee the full development process, from initial design through deployment and maintenance
• Architect and implement scalable, secure, and reliable AI/ ML powered software solutions that can handle increasing load and complexity
• Promote coding standards, CI/CD workflows, and other software development best practices to deliver high-quality, maintainable code
• Work closely with product managers, data scientists/AI Eng., and other stakeholders to clarify requirements, set priorities, and align on deliverables
• Define and maintain the engineering roadmap, balancing new feature development with technical debt and platform improvements
• Establish and maintain clear, comprehensive technical documentation while driving best practices in engineering

• 7-10 years of experience in software development and engineering complex applications
• Experience developing and deploying AI/ ML powered solutions
• Strong proficiency in Python and at least one other language (e.g., Golang, Rust, Java, etc.) and related frameworks
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and container orchestration (Kubernetes, Docker)
• Strong foundation in algorithms, data structures, and system design
• Deep understanding of modern software engineering practices (e.g., Dev Ops, CI/CD, microservices)
• Hands‑on experience with data pipelines, ETL processes, data warehouses, and related tools (Spark, Airflow, etc.)
• Educational qualifications:
  Bachelor’s/Master’s degree in Computer Science, Engineering, or related field