Negotiable
Undetermined
Remote
Remote
Summary: The Software Engineer role focuses on supporting Agile development, DevSecOps automation, and AI/ML enablement to improve system performance and operational efficiency. Key responsibilities include developing CI/CD pipelines, building cloud-native applications, and integrating AI/ML models. The position requires collaboration with cross-functional teams and adherence to Agile practices. This role is fully remote, emphasizing modern software development methodologies.
Key Responsibilities:
- Support Agile development cycles including sprint planning, demos, and retrospectives
- Develop and maintain CI/CD pipelines for continuous integration and deployment
- Build cloud-native applications and services to support ERP modernization
- Develop and integrate AI/ML models for automation, anomaly detection, and analytics
- Implement monitoring, logging, and performance optimization solutions
- Collaborate with cross-functional teams to deliver MVPs and iterative enhancements
- Support DevSecOps practices including security, compliance, and automated testing
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Databricks)
- Knowledge of data pipelines and analytics platforms
- Familiarity with SAFe Agile methodology
Key Skills:
- Proficiency in Agile development methodologies
- Experience with CI/CD tools and practices
- Knowledge of cloud-native application development
- Familiarity with AI/ML frameworks such as TensorFlow and PyTorch
- Understanding of DevSecOps principles
- Experience with data pipelines and analytics platforms
- Strong collaboration and communication skills
- Ability to work in cross-functional teams
Salary (Rate): £80,000 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Software Engineer supporting Agile development, DevSecOps automation, and AI/ML enablement to enhance system performance, user experience, and operational efficiency.
Develop and maintain CI/CD pipelines for continuous integration and deployment
Build cloud-native applications and services to support ERP modernization
Develop and integrate AI/ML models for automation, anomaly detection, and analytics
Support Agile development cycles including sprint planning, demos, and retrospectives
Implement monitoring, logging, and performance optimization solutions
Collaborate with cross-functional teams to deliver MVPs and iterative enhancements
Support DevSecOps practices including security, compliance, and automated testing
Experience with AI/ML frameworks (TensorFlow, PyTorch, Databricks)
Knowledge of data pipelines and analytics platforms
Familiarity with SAFe Agile methodology