Lead Operations Research Engineer - LP, MIP, heuristics, Python, Gurobi, CPLEX

Blue Yonder; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Blue Yonder is seeking a Lead Software Engineer with expertise in Operations Research to design and develop scalable optimization solutions. This role will leverage advanced analytical modeling and data engineering to solve complex business challenges. Candidates should have at least 7 years of experience in OR and strong proficiency in Python development. Leadership and mentoring skills are highly valued.

The successful applicant will lead the design and build optimization and decisioning systems, integrating AI/ML solutions and ensuring high-performance design.

Qualifications

• 7+ years of total experience in Operations Research with strong experience in Python development.
• Solid background in optimization techniques including LP and MIP.
• Hands-on experience with OR tools and cloud platforms.

Responsibilities

• Lead the design and development of optimization and decisioning systems using OR techniques.
• Build scalable backend systems using Python for data processing.
• Develop and manage data pipelines leveraging Snowflake.

Skills

Operations Research (OR)

Python Development

Data Structures

Performance Tuning

AI/ML Integration

Data Pipelines

MongoDB

Gurobi

REST APIs

Tools

Gurobi

Snowflake

MongoDB

CPLEX

OR-Tools

Job description

We are looking for a highly skilled Lead Software Engineer with expertise in Operations Research (OR) to design and build scalable optimization solutions. This role combines strong engineering fundamentals with advanced analytical modeling to solve complex business problems using optimization techniques, data engineering, and AI-driven approaches.

What You'll Do

• Lead the design and development of optimization and decisioning systems using OR techniques (LP, MIP, heuristics, metaheuristics).
• Build scalable backend systems using Python for high-performance data processing and solver integrations.
• Develop and manage data pipelines leveraging Snowflake and other modern data platforms.
• Design and optimize data models using MongoDB and/or other NoSQL databases.
• Integrate AI/ML models into decision systems for predictive and prescriptive analytics.
• Drive architecture decisions ensuring performance, scalability, and reliability.
• Collaborate with product managers, data scientists, and stakeholders to translate business problems into mathematical models.
• Mentor engineers and enforce best practices in coding, testing, and system design.
• Improve solver performance and efficiency for large-scale workloads.
• Own end-to-end delivery including design, development, testing, deployment, and monitoring.

What We Are Looking For

• 7+ years of total experience in OR with strong experience in Python development (data structures, concurrency, performance tuning).
• Solid background in Operations Research / Optimization:
  • Linear Programming (LP), Mixed Integer Programming (MIP)
  • Heuristics / Metaheuristics
  • Constraint programming (good to have)
• Hands‑on experience with OR tools like Gurobi / CPLEX / OR-Tools.
• Experience working with Snowflake for data warehousing and analytics.
• Proficiency in MongoDB or other NoSQL databases.
• Experience integrating AI/ML models into production systems.
• Strong system design and distributed systems knowledge.
• Experience with REST APIs, microservices architecture.
• Familiarity with cloud platforms (Azure/AWS/GCP).
• Strong problem‑solving and analytical skills.
• Preferred Qualifications:
• Experience in large‑scale optimization problems (supply chain, logistics, scheduling, resource allocation).
• Exposure to real‑time decision systems / low‑latency architectures.
• Knowledge of data pipelines, ETL, and streaming systems.
• Experience with DevOps practices, CI/CD pipelines.
• Understanding of cost optimization and performance tuning in cloud environments.
• Leadership Expectations:
• Provide technical leadership and architectural guidance.
• Drive innovation in optimization and AI‑based decision systems.
• Mentor team members and build strong engineering practices.
• Collaborate cross‑functionally with business and product teams.
• Nice to Have:
• Exposure to Reinforcement Learning / Advanced AI optimization techniques.
• Experience building domain‑specific optimization engines.
• Publications or work in Operations Research / Applied Optimization.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.