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 www.acuityinc.com .

Job Summary 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 DevOps practices

to accelerate product innovation and business transformation across Acuity.

Key Tasks & Responsibilities (Essential Functions)

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 DevOps practices.

Deploy and operate solutions in

Azure Cloud

leveraging

Container Apps, Kubernetes, Bicep, Container Registry, KeyVault, and Application Insights .

Implement and maintain

CI/CD pipelines

( Azure DevOps, ArgoCD, GitHub 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 DevOps pipelines.

Collaborate with product management, cloud architecture, and data science teams to deliver measurable business outcomes.

Skills and Minimum Experience Required

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 ,

DevOps , and

GitHub branching strategies .

Hands‑on experience with

Azure Cloud Services

(Bicep, Container Apps, KeyVault, Application Insights, Monitor).

Working knowledge of

SQL/NoSQL ,

Docker ,

Kubernetes , and

microservices design .

Experience with

testing frameworks

(PyTest) and test automation.

Excellent communication, problem‑solving, and collaboration skills.

Preferred Skills and Experience

Familiarity with

Generative AI, Agentic AI, and LLM frameworks

(LangChain, 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 DevSecOps practices.

Working knowledge of

IoT or embedded system integration

within enterprise ecosystems.

Other

Collaboration:

Confluence, Miro, Teams

Development:

Git, VSCode, Docker

Testing:

Postman, PyTest

Cloud & DevOps:

Azure, ArgoCD, GitHub Actions

We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.

Accommodation for Applicants with Disabilities: As an equal opportunity employer, Acuity Inc. is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need an accommodation, you may contact us at (770) 922-9000. Please clearly indicate what type of accommodation you are requesting and for what requisition.

Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor, but does not have the appropriate approvals to be engaged on a search.

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Test Engineer, Software Engineer, Testing, Cloud, Embedded, Engineering, Technology

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