Software Engineer Senior

Acuity Brands

United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

acuitybrands.com

Tech stack

Agile Methodology Application Performance Management Artificial Neural Networks Confluence JIRA Automation of Tests Microsoft Azure Cloud Computing Security Cloud Engineering Code Review Continuous Integration DevOps

+44 more

Github Integrated Development Environments Data Intelligence Python (Programming Language) NoSQL OAuth Octopus Deploy Object-Oriented Software Development OpenID Pair Programming Scrum Methodology Standard Sql Scaled Agile Framework Software Engineering Software Systems Enterprise Software Applications Cloud Platform System Postman Flask (Web Framework) Delivery Pipeline Large Language Models Deep Learning Generative AI Git Fastapi Event Driven Architecture Pytest Git Flow Kubernetes Information Technology Deployment Automation HuggingFace Bicep Cosmos DB Virtual Agents Api Design Interactive Whiteboards Restful APIs GPT Devsecops Serverless Computing Docker Vulnerability Analysis Microservices

Job description

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., * 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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field.
5+ years of professional software engineering experience.
Strong Python programming skills (OOP, async, typing, Pydantic).
Proven experience developing REST APIs using FastAPI or Flask.
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., * Agile: Jira, Azure DevOps
Collaboration: Confluence, Miro, Teams
Development: Git, VSCode, Docker
Testing: Postman, PyTest
Cloud & DevOps: Azure, ArgoCD, GitHub Actions