Lead Software Engineer – .Net, Kafka, Gurobi

Coupa Software

. Deploy complex algorithms and AI features into production, including integration of Large Language Models and custom AI gateways .

Posted 11/12/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying AI features and optimization models, with strong programming skills in .NET Core, Python, and C#. Proven ability to mentor engineers and collaborate across teams to enhance engineering practices and platform performance.

Highest-signal resume keywords

AI Feature DeploymentProgramming Proficiency in .NET Core, Python, C#, Groovy, JavaAlgorithm Testing and OptimizationCloud-Native Microservices DevelopmentMentorship and Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model DeploymentOptimization TechniquesAlgorithm DesignPerformance TuningData StructuresCI/CD Pipeline EnhancementMathematical MIP/MILP ModelsLarge Language ModelsWeb Application DevelopmentAgile Methodologies

Soft Skills

Excellent CommunicationTechnical Decision-MakingCollaborationMentoringProblem-Solving

Tools & Technologies

AWSGCPJenkinsDockerKubernetesKafkaRabbitMQRescueGurobiNoSQL Databases

Industry Keywords

Supply Chain Network DesignCommercial EnvironmentsPerformance OptimizationAlgorithm TestingData Security

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformGroovyJavaJenkinsKafkaKubernetesMicroservicesNoSQLPythonRabbitMQ.NET

About the role

Key responsibilities & impact

Deploy complex algorithms and AI features into production, including integration of Large Language Models and custom AI gateways
Continuously optimize performance, simplify existing code, and enhance CI/CD pipelines
Identify and deploy techniques to improve platform performance and scalability
Work with third-party vendors to test and deploy platform system upgrades
Oversee and maintain algorithm testing across optimization and AI advancements
Bench-test, profile, and tune mathematical and AI models
Develop and maintain systems for capturing performance and application/algorithm usage data
Partner with the security team to ensure data is securely captured and stored
Mentor senior and junior engineers
Establish code review standards and engineering best practices
Run design sessions to elevate engineering practices
Partner with Product, Design, and Enterprise Architecture teams to build end-to-end features
Provide application and infrastructure support for customer environments
Collaborate with engineers globally to plan and deploy product releases

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering, Operations Research, or a closely related field; Master’s preferred
8+ years of industry experience developing web applications or platforms
1–2 years of experience acting as a pod or technical lead
Experience deploying production-level AI and/or optimization models in commercial environments
Strong programming proficiency in .NET Core/.NET 8+, Python, C#, Groovy, and Java
Experience using AI Assistants to increase efficiency
Deep understanding of computational complexity, advanced data structures, and algorithmic design
Excellent communication skills with the ability to explain complex engineering principles to product and business leaders
Ability to make technical decisions with minimal direction and guide a globally distributed team in an agile ecosystem
Preferred: domain expertise in Supply Chain Network Design and/or Large Language Models
Preferred: experience with mathematical MIP/MILP and AI/ML models
Preferred: experience with Gurobi or other commercial mathematical solvers
Preferred: experience developing and deploying microservices on cloud-native platforms including AWS, GCP, Jenkins, Docker, and Kubernetes
Preferred: experience with large-scale advanced relational and NoSQL databases
Preferred: experience with enterprise message brokers such as Kafka, RabbitMQ, or Rescue

Benefits

Comp & perks

Two company-wide paid wellness days off each year
Paid day off on your birthday or another day within your birthday month
40 hours of paid volunteer time off annually
Free, confidential, 24/7/365 counseling and resources through the Employee Assistance Program
Business travel medical, safety, pre-trip planning, and emergency support
Monetary referral bonuses for successful employee referrals
Location-specific medical and dental insurance
Retirement/pension plans
Life or accident protection
Inclusive and welcoming work environment