Software Engineer Lead

Acuity Inc.•Conyers, GA

About The Position

Acuity is seeking a highly skilled and motivated Software Engineer Lead to join our Enterprise Product team, focusing on Product Information Management (PIM), Product Catalog, and Product Configuration systems. The role involves designing, developing, and maintaining scalable enterprise-grade software solutions, integrating with ERP, PLM, CPQ, and third-party platforms. The ideal candidate will have deep expertise in .NET, C#, Python, JavaScript and object-oriented programming, cloud-native architecture, Elasticsearch, Graph/NoSQL databases, DevOps practices, and AI-driven catalog enrichment. This role also requires collaborating with product managers, stakeholders, and multinational teams to translate business requirements into technical solutions, ensuring performance, scalability, and operational efficiency of product data systems.

Requirements

Bachelor’s degree in computer science, Engineering, or equivalent experience.
6-8+ years of professional software development experience in enterprise applications using .NET, C#, Python, JavaScript, Typescript.
3–5+ years of experience with Product Information Management (PIM), Product Catalog, Pricing, Item Catalog Data Enrichment, and CPQ systems.
3+ years of hands-on experience designing and implementing integrations across ERP, PLM, PIM, CPQ, and third-party systems using RESTful APIs, or similar integration platforms.
5+ years of experience building microservices, RESTful APIs, and event-driven architectures for scalable enterprise solutions.
5+ years of experience with SQL and relational databases.
5+ years of experience with Document Databases such as MongoDB, Cosmos, DynamobDB.
2+ years of experience with Search technologies like Elasticsearch.
3–5+ years of expertise in cloud platforms (Azure, AWS) and cloud-native architecture.
3–5+ years of experience with containerization (Docker, kubernetes)
3+ years of experience scripting with bash and PowerShell.
3–5+ years of hands-on experience in DevOps practices, including CI/CD pipelines, automated builds, and deployment strategies.
3–5+ years of experience with Graph and NoSQL databases, Elasticsearch, Databricks, and data-driven analytics.
2–4+ years of familiarity with AI/Generative AI for catalog intelligence, metadata enrichment, and automated attribute generation.
4+ years of experience with Agile methodologies in fast-paced, multinational teams.
2+ years of experience with data visualization and monitoring tools such as Power BI and Grafana to ensure operational transparency and actionable insights.
Strong object-oriented programming knowledge and best practices.
Problem-solving, analytical thinking, and decision-making skills.
Excellent communication and collaboration with cross-functional teams.
Knowledge of security, data governance, and compliance in enterprise environments.
Ability to design and implement flexible and scalable solutions.

Nice To Haves

Familiarity with Data warehousing Databricks.
Familiarity with B2B, Salsify, CPQ, or digital commerce platforms.
Experience with monitoring and observability tools (Grafana, Power BI, Elasticsearch).
Exposure to multi-cloud and hybrid cloud architectures.
Experience with serverless technologies like Azure Function and Lambda.

Responsibilities

Design, develop, and maintain enterprise-grade software solutions for Product Information Management (PIM), Product Catalog, and Product Configuration systems using .NET, C#, Python, JavaScript and DevOps technologies.
Implement and manage integrations between internal systems, third-party applications (Salsify, MuleSoft), and Azure cloud-based platforms.
Build data-driven features and pipelines using Databricks, Python, SQL, EventHub, Service Bus and NoSQL/Graph databases to enhance product insights, catalog completeness, and operational efficiency.
Collaborate with product managers and stakeholders to translate business requirements into technical solutions, including pricing, catalog management, and item-level data enrichment.
Develop RESTful APIs, microservices, and event-driven workflows for high-performance product data processing across systems.
Develop User Experience using JavaScript, CSS to manage data in PIM, PDM and MDM systems.
Ensure software solutions meet performance, security, and scalability standards in cloud-native environments (Azure, AWS).
Participate in Agile development practices including sprint planning, code reviews, and CI/CD.
Supervise work performed by contract engineers, provide technical guidance, and promote best practices in software engineering, system design, and product data management.
Build seamless product data flows between engineering (PLM), commerce (PIM), integration (MuleSoft), ERP, MDM, and customer-facing applications.
Establish and standardize processes for creating, managing, enriching, and distributing high-quality Product Master Data, including catalog attributes, pricing, and item-level metadata.
Drive integration architecture using MuleSoft, RESTful APIs, or similar platforms to ensure robust, secure, and scalable connectivity across enterprise systems.
Incorporate monitoring and analytics tools (e.g., Elasticsearch, Grafana, Power BI) to support operational transparency, data quality, and product data reliability.
Explore and apply Generative AI for accelerating attribute creation, catalog enrichment, component matching, and intelligent metadata transformation.
Partner with security, data governance, and business stakeholders to enforce standards, ensure compliance, and support scalable innovation.
Perform duties with minimal supervision, manage multiple priorities effectively, and delegate tasks as needed.
Implement DevOps automation, including CI/CD pipelines, infrastructure provisioning (IaC), and deployment strategies.