Scope
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.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here:
Core Values
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.
