Senior Software Engineer at QSC, LLC

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, TypeScript, Spring Boot, Azure, AWS, Kubernetes, Terraform, CI/CD, REST APIs, FastAPI, Flask, Docker, Microservices, Generative AI, Agile

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Overview 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 www.acuityinc.com. The Senior Software Engineer for Acuity Inc. plays a key role in designing, developing, and delivering digital solutions for AIS Tech. 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 DevOps practices to accelerate product innovation and business transformation across Acuity. Responsibilities Design and develop scalable, high-performance software and REST APIs supporting Acuity’s digital and connected systems ecosystem. Collaborate in Agile environment, applying Scrum or Kanban to deliver iterative, high-value outcomes. Architect and implement solutions using Python , C# , TypeScript, Spring Boot and modern DevOps practices. Deploy and operate solutions in Azure or AWS Cloud leveraging Container Apps, Kubernetes, Terraform, Container Registry, KeyVault, and Application Insights. Implement and maintain CI/CD pipelines (Azure DevOps, Jenkins, Anisble ) 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 or similar and support TDD/BDD practices. Participate in continuous improvement of Agile delivery workflows and DevOps pipelines. Collaborate with product management, cloud architecture, and data science teams to deliver measurable business outcomes. Qualifications Bachelor’s degree in Computer Science or related field. 5+ years of professional software engineering experience. Strong Python / C# programming skills (OOP, async, typing, Pydantic). Proven experience developing REST APIs using FastAPI or Flask. Good understanding of Agile software development. Proficiency with CI/CD, DevOps, and GitHub/ GitLab branching strategies. Hands-on experience with Azure or AWS Cloud Services. Working knowledge of SQL/NoSQL, Docker, Kubernetes, and microservices design. Experience with testing frameworks (PyTest or Similar) and test automation. Excellent communication, problem-solving, and collaboration skills.

Responsibilities

Design and develop scalable, high-performance software and REST APIs within an Agile environment to support digital and connected systems. Implement cloud-native platforms and integrate Generative AI for automation and system orchestration.