Hybrid Senior Software Engineer

at Acuity

• Job title: Senior Software Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $120,800 - $217,400 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, ElasticSearch, ERP, Grafana, Microservices, NoSQL, Python, SQL, .NET
• Location requirements: Hybrid, Atlanta, United States

About the role

• Senior Software Engineer at Acuity focusing on Product Information Management systems. Involved in designing, developing, and maintaining scalable software solutions for enterprise applications.

Responsibilities

• Design, develop, and maintain enterprise-grade software solutions for Product Information Management (PIM), Product Catalog, and Product Configuration systems using .NET, C#, Python, and other object-oriented programming languages.
• Implement and manage integrations between internal systems, third-party applications (Salsify, MuleSoft), and Azure cloud-based platforms.
• Build data-driven features and analytics pipelines using Databricks, Python, SQL, 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.
• 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.
• Mentor junior 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.

Requirements

• 6–10+ years of professional software development experience in enterprise applications using .NET, C#, Python, and object-oriented programming principles.
• 5–8+ years of experience with Product Information Management (PIM), Product Catalog, Pricing, Item Catalog Data Enrichment, and CPQ systems.
• 5+ years of hands-on experience designing and implementing integrations across ERP, PLM, PIM, CPQ, and third-party systems using MuleSoft, RESTful APIs, or similar integration platforms.
• 5+ years of experience building microservices, RESTful APIs, and event-driven architectures for scalable enterprise solutions.
• 5–7+ years of expertise in cloud platforms (Azure, AWS) and cloud-native architecture.
• 3–5+ years of experience with containerization (Docker, container registries) and Infrastructure as Code (IaC) principles.
• 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.
• 6+ years of experience with Agile methodologies in fast-paced, multinational teams.
• 2–4+ years of experience with data visualization and monitoring tools such as Power BI and Grafana to ensure operational transparency and actionable insights.

Benefits

• Health care
• Dental coverage
• Vision plans
• 401K benefits
• Commissions/incentive compensation depending on the role