Lead Software Engineer – Backend, Optimisation

Benchmark Technology

Backend Software Engineer developing mathematical models and algorithms for construction technology startup. Building APIs and simulation systems for translating construction plans into optimized 3D structures.

Posted 7/27/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming and optimization systems, with a strong focus on operations research techniques and computational geometry. Capable of developing production-grade systems that enhance performance and scalability in complex mathematical environments.

Highest-signal resume keywords

Expert Python ProgrammingOperations ResearchConstrained OptimizationLinear ProgrammingMixed-Integer Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DevelopmentAlgorithm DesignComputational GeometryPerformance OptimizationSolver TuningMathematical ModelingProduction-Grade SystemsSimulation SystemsConstraint Systems3D Building Representations

Tools & Technologies

FastAPILinux

Industry Keywords

Mathematical SystemsOptimization SystemsComputational ComplexityProduction Environments

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Build APIs and services to provide conduction design models to frontend applications using Python and FastAPI.
Design and implement optimization models using operations research techniques including constrained programming, linear programming, and mixed-integer programming (MIP)
Develop computational geometry systems that convert plan-derived data into structured 3D building representations
Build simulation and constraint systems that model real-world construction rules, structural relationships, and material layouts
Develop production-grade Python systems that solve large-scale optimization and geometric problems
Improve performance and scalability of heavy mathematical workloads through algorithm design, solver tuning, and profiling
Work closely with ML engineers and platform engineers to integrate optimization systems into the broader plan ingestion and design pipeline
Ensure mathematical systems are reliable, testable, maintainable, and production-ready

Requirements

What you’ll need

6+ years of experience developing mathematical or optimization systems in production environments
Expert Python programming skills with experience building complex numerical or algorithmic systems
Strong background in operations research, constrained optimization, linear programming, or mixed-integer programming
Strong understanding of algorithm design, computational complexity, and performance optimization
Experience implementing or working with computational geometry algorithms
Comfortable working in Linux environments and deploying production systems

Benefits

Comp & perks

Comprehensive benefits (health, dental, vision)
Professional development budget (courses, conferences, research exploration)