Lead Software Engineer - . Net with Kafka and Gurobi - 11767

The Opportunity

Location and Work Style

• Bangalore, India.
• Hybrid work arrangement.

What You'll Do

• Deploy complex algorithms and AI features to production with Operations Research and Data Science teams.
• Integrate large language models and custom AI gateways.
• Improve performance, simplify code, and enhance CI/CD pipelines.
• Deploy techniques to improve platform performance and scalability.
• Test and deploy third-party platform developments.
• Maintain algorithm testing and benchmark, profile, and tune mathematical and AI models.
• Build data capture systems for performance and application or algorithm usage, with secure storage practices.
• Mentor engineers, establish code review standards and best practices, and run design sessions.
• Collaborate with Product, Design, and Enterprise Architecture teams on end-to-end features.

What You Will Bring

• Bachelor's degree in computer science, engineering, operations research, or a closely related field; a master's degree is preferred.
• 8+ years developing web applications or platforms, including 1-2 years as a pod or technical lead.
• Experience deploying production AI and/or optimization models in commercial environments.
• Strong proficiency in .NET Core/.NET 8+, Python, C#, Groovy, and Java.
• Deep knowledge of computational complexity, advanced data structures, and algorithmic design.
• Ability to communicate complex engineering principles to product and business leaders.
• Ability to make technical decisions with minimal direction and guide a globally distributed agile team.

Preferred Qualifications

• Domain expertise in supply chain network design and/or large language models.
• Experience with mathematical MIP/MILP and AI/ML models.
• Experience with Gurobi or other commercial mathematical solvers.
• Experience developing and deploying cloud-native microservices using AWS, GCP, Jenkins, Docker, or Kubernetes.
• Experience with large-scale relational and NoSQL databases.
• Experience with enterprise message brokers such as Kafka, RabbitMQ, or Rescue.

Benefits and Well-Being

• Two company-wide paid wellness days each year.
• Paid birthday time off.
• 40 hours of paid volunteer time off annually.
• Employee assistance program with confidential counseling and resources.
• Business travel protection and employee referral bonuses.
• Location-specific medical, dental, retirement or pension, and life or accident protection benefits may apply.
• Paid time off, parental leave programs, and matching contributions are offered.