> Markdown version of [/jobs/ext/4157915-software-engineer](https://www.wearedevelopers.com/jobs/ext/4157915-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer

- **Company:** SBS
- **Location:** Sheffield, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Configuration Management, DevOps, Identity and Access Management, Python (Programming Language), Linux System Administration, Oracle Databases, Reliability Engineering, Ansible, Software Deployment, GitHub Copilot, System Availability, Delivery Pipeline, Large Language Models, Claude Code, Software Troubleshooting, Containerization, Infrastructure Automation Frameworks, Information Technology, Api Gateway, Terraform, Serverless Computing, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d21d832311079c18

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience.
 * 5+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Infrastructure Engineering, or a similar role.
 * Strong Oracle Database Administration (DBA) experience, including implementation, maintenance, and troubleshooting.
 * Hands-on experience with Terraform and Ansible.
 * Experience supporting and administering AWS cloud environments.
 * Experience with infrastructure automation and Infrastructure-as-Code practices.
 * Knowledge of CI/CD pipelines and modern software delivery practices.
 * Proficiency in Python, Java, or another relevant programming language.
 * Experience working within Linux-based environments.
 * Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

 * Experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, and IAM.
 * Experience with containerization and cloud-native architectures.
 * Knowledge of AI-assisted development and infrastructure tools such as GitHub Copilot, Amazon Q, Claude Code, AWS Kiro, or similar solutions.
 * Experience implementing automation using Large Language Models (LLMs) and AI-enabled engineering platforms.
 * Familiarity with modern DevOps, Site Reliability Engineering (SRE), and platform engineering methodologies.
 * Experience supporting large-scale enterprise platforms and mission-critical systems.
 * Ability to communicate complex technical concepts to both technical and non-technical audiences.

## Description

The Platform Engineer will play a key role in maintaining and evolving platform services, supporting business-critical operations, improving deployment efficiency, and enabling modernization initiatives including Landing Zone 2.0 readiness and AI-assisted platform delivery.
The ideal candidate combines deep platform engineering expertise with strong Oracle DBA knowledge and a passion for automation, cloud technologies, and emerging AI capabilities. This individual is collaborative, forward-thinking, and committed to continuously improving platform reliability, scalability, and operational excellence.
Responsibilities:

 * Design, deploy, and maintain scalable, secure, and highly available platform infrastructure.
 * Administer, support, and optimize Oracle database environments.
 * Implement and maintain Infrastructure-as-Code solutions using Terraform and Ansible.
 * Develop and maintain automation tooling to improve platform deployment, configuration management, and operational efficiency.
 * Support AWS-based services and environments, including containerized workloads and cloud-native services.
 * Build and enhance CI/CD pipelines to improve software delivery and operational reliability.
 * Monitor platform performance, availability, and security and implement continuous improvements.
 * Collaborate with engineering teams to support application deployment and infrastructure modernization initiatives.
 * Contribute to Landing Zone 2.0 and broader cloud transformation initiatives.
 * Evaluate and implement AI-assisted engineering practices to improve productivity and operational effectiveness.
 * Document platform architecture, operational procedures, and technical standards.
 * Provide technical guidance and knowledge sharing to team members and stakeholders.