Senior Software Engineer: Scalable AI & Optimization Systems

NFI

Trenton (NJ)

On-site

USD 100,000 - 125,000

Full time

10 days ago

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Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k Plan

Paid Time Off

Paid Parental Leave

Job summary

NFI is hiring a Senior Software Engineer to design and evolve the Digital Twin systems. You will partner with project leads to scale optimization and simulation, delivering new services with scalable architecture and strong engineering standards.

You will architect worker services on OpenShift/Kubernetes, optimize SQL performance, and build data pipelines for decision analysis. Collaboration across product, operations, and data teams will be key to success.

Qualifications

4+ years of professional software engineering experience in production environments.
Proven experience managing and contributing to multiple GitHub repositories in a collaborative environment.
Demonstrated expertise with the complete software development lifecycle for diverse production-scale systems.
Strong proficiency in the Python programming language.
Experience building and operating distributed systems and microservices architectures.
Deep understanding of relational databases, including SQL performance tuning and concurrency management (e.g., SQL Server).
Experience with workflow orchestration tools (e.g., Prefect, Airflow) and containerized environments.
Strong debugging, performance tuning, and problem-solving skills.
Excellent communication skills and ability to work cross-functionally.
Hands‑on experience with Kubernetes (OpenShift or similar) in a production setting.
Experience designing and maintaining data pipelines for large-scale processing, and supporting the analytics engineering team.
Familiarity with optimization systems, simulation platforms, or operations research concepts (e.g., routing, scheduling, or resource allocation).
Experience with Supply Chain modeling platforms like Supply Chain Guru, Llama.ai, NextMV, Gains, Sophus, Starboard, Optilogic, or TMOD.
Experience working in Agile/Scrum environments
Experience with Go/Golang
Experience with ML Algorithms, Optimization Algorithms, and Building AI Native Apps

Responsibilities

Architect and implement robust worker services on OpenShift (Kubernetes) for large-scale data processing and compute workloads.
Drive performance optimization across the stack, including SQL concurrency tuning and vehicle routing solver orchestration and execution.
Develop and refine data staging, enrichment, and transformation pipelines to support decision analysis and scenario modeling.
Improve system reliability and scalability through service refactoring, workflow optimization, and resilient system design.
Develop, deploy, and integrate machine learning and AI models into production systems to enhance predictive and simulation capabilities.
Orchestrate complex automated workflows using platforms such as OpenShift (Kubernetes), Prefect, and Nextmv.
Design and implement monitoring, logging, and observability solutions (e.g., Grafana) to ensure system health and performance visibility.
Lead and contribute to the design of scalable microservices and event-driven or serverless architectures.
Maintain high engineering standards through code reviews, test-driven development, and comprehensive unit and integration testing.
Partner with product, operations, and data teams to translate business needs into technical solutions.
Performs other duties and responsibilities as required by the role and determined by management.