Senior Software Engineer

Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.

We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.

Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at  .

The Senior Software Engineer for Acuity Inc. plays a key role in designing, developing, and delivering digital solutions that power our next-generation Commerce Engine.

You will work across cross-functional Agile teams to build scalable, cloud-native platforms and applications that integrate with enterprise systems, and AI-driven automation frameworks. This position blends strong technical engineering with Agile software delivery and modern Dev Ops practices to accelerate product innovation and business transformation across Acuity.

• Design and develop scalable, high-performance software and REST APIs supporting Acuity’s digital and connected systems ecosystem.
• Collaborate in Agile and SAFe environments
  , applying Scrum or Kanban to deliver iterative, high-value outcomes.
• Architect and implement solutions using Python (FastAPI, Flask, OOP, Typing, Async programming, Pydantic) and modern Dev Ops practices.
• Deploy and operate solutions in Azure Cloud leveraging Container Apps, Kubernetes, Bicep, Container Registry, Key Vault, and Application Insights
  .
• Implement and maintain CI/CD pipelines (
  Azure Dev Ops, ArgoCD, Git Hub Actions
  ) and enforce secure, automated deployment processes.
• Conduct code reviews
  , pair programming
  , and technical mentoring to uplift team capability and ensure quality.
• Integrate Generative AI and Agentic AI into software systems for automation, data intelligence, and system orchestration.
• Apply event-driven architecture and data modeling for scalable integrations across enterprise and IoT environments.
• Implement unit, integration, and performance tests using PyTest and support TDD/BDD practices.
• Ensure security best practices through AuthN/AuthZ (OpenID/OAuth2) and container vulnerability scanning (
  Snyk, Aqua
  ).
• Participate in continuous improvement of Agile delivery workflows and Dev Ops pipelines.
• Collaborate with product management, cloud architecture, and data science teams to deliver measurable business outcomes.

• Bachelor’s degree in Computer Science, Engineering, or related field
  .
• 5+ years of professional software engineering experience.
• Good understanding of Agile software development and Scaled Agile Framework (SAFe).
• Proficiency with CI/CD
  , Dev Ops
  , and Git Hub branching strategies
  .
• Hands‑on experience with Azure Cloud Services (Bicep, Container Apps, Key Vault, Application Insights, Monitor).
• Working knowledge of SQL/No
  
  SQL
  , Docker
  , Kubernetes
  , and microservices design
  .
• Experience with testing frameworks (PyTest) and test automation.
• Excellent communication, problem‑solving, and collaboration skills.

• Familiarity with Generative AI, Agentic AI, and LLM frameworks (Lang Chain, Hugging Face Transformers, OpenAI API).
• Exposure to deep learning concepts (neural networks, CNNs, RNNs, transformers, attention).
• Experience with Azure Resource Groups, VNETs, Cosmos DB
  , and serverless compute
  .
• Experience with code-to-cloud security and Dev Sec Ops  practices.
• Working knowledge of IoT or embedded system integration within enterprise ecosystems.

• Collaboration: Confluence, Miro, Teams
• Development: Git, VSCode, Docker
• Te…