Adecco
Software Engineer
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Senior Software Engineer - AI Automation & Platform Reliability
Working Model: Remote (UK)
Contract Duration: 6-Month Contract
Hourly Pay Rate: £54.81
The Opportunity
We are looking for experienced Senior Software Engineers to help build and maintain the automation systems that keep a large-scale digital platform operating reliably in production.
This role sits at the intersection of AI-driven automation, cloud infrastructure, platform reliability, CI/CD engineering, and backend systems. You will be responsible for reducing operational overhead through intelligent automation, improving deployment reliability, and developing self-healing systems that proactively detect and resolve production issues.
This is an excellent opportunity for engineers who enjoy solving complex operational challenges, building autonomous systems, and working on live, high-scale products used by large global audiences.
Key Responsibilities
- Design, build, and maintain automation systems that ensure platform reliability and production health.
- Develop and improve AI-assisted tooling capable of detecting, diagnosing, and automatically resolving software issues.
- Build solutions that identify broken builds, determine root causes, and recommend or execute fixes.
- Maintain and optimise CI/CD, build, deployment, and release pipelines.
- Monitor production systems, performance metrics, incidents, crashes, and service health.
- Reduce manual operational and on-call workload through intelligent automation.
- Support cloud deployment environments and backend service infrastructure.
- Lead critical infrastructure migrations while maintaining platform stability.
- Improve deployment processes and automated operational workflows.
- Collaborate with engineering teams to ensure reliability across multiple platforms and user experiences.
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Required Skills & Experience
- Strong background in backend platform engineering and cloud-based systems.
- Proven experience building and operating CI/CD pipelines at scale.
- Experience managing cloud infrastructure, deployments, and production services.
- Experience developing AI-assisted engineering tools, autonomous systems, or self-healing platforms.
- Strong understanding of platform reliability, service monitoring, incident management, and operational excellence.
- Experience with build systems, release engineering, and deployment automation.
- Demonstrated ability to reduce operational burden through automation.
- Experience diagnosing complex production issues and driving root-cause analysis.
- Strong communication skills and ability to work autonomously.
Preferred Experience
- AI agents and autonomous operational systems.
- Self-healing infrastructure and auto-remediation frameworks.
- Cloud application streaming or remote rendering technologies.
- Large-scale production platforms and live services.
- CDN, content delivery, or large-scale asset distribution systems.
- Capacity planning, performance monitoring, and latency optimisation.
- Large monorepos and dependency management systems.
- Infrastructure modernisation and migration projects.
What You'll Be Working On
You will support a large-scale platform operating across multiple device types and environments. The focus is on ensuring service stability, deployment reliability, and platform quality through automation rather than manual intervention.
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Key areas include:
- Production reliability and monitoring.
- Backend service maintenance.
- Deployment health and compatibility validation.
- AI-powered operational tooling.
- Automated build and release management.
- Incident detection and recovery.
- Continuous improvement of engineering efficiency.
What Success Looks Like
Successful contractors in this role will demonstrate:
- Strong ownership of technical challenges.
- Excellent communication and stakeholder engagement.
- The ability to work independently in ambiguous environments.
- Proactive problem solving.
- Delivery of automation solutions that significantly reduce manual operational work.
- Improvements in platform reliability, deployment stability, and production performance.
Why Join?
- Work on large-scale, high-traffic systems serving global users.
- Build cutting-edge AI-driven automation and self-healing platforms.
- Solve challenging reliability and infrastructure problems.
- Influence how engineering teams leverage AI to automate operational workloads.
- Gain exposure to complex cloud infrastructure, deployment systems, and large-scale production environments.
Ideal Backgrounds
We would love to hear from candidates with experience in:
- Site Reliability Engineering (SRE)
- Platform Engineering
- DevOps Engineering
- Infrastructure Engineering
- Release Engineering
- Cloud Operations
- Backend Software Engineering
- AI Agent Development
- Autonomous Systems Engineering
- Production Reliability & Automation
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