Senior Platform DevOps Engineer
Posted on Jul 1, 2026 by CV-Library
City of London, City and County of the City of London, United Kingdom
IT
Immediate Start
£550 - £800 Daily
Contract/Project
Working Environment
You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism.
What You'll Be Doing
- Design, deploy and operate platforms and services on Kubernetes-based environments
- Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform
- Own systems and applications through their full lifecycle, from deployment to live operation and support
- Ensure systems are supportable, secure, monitored and reliable in production
- Configure and operate machine learning workloads in production, focusing on running models rather than training
- Monitor system performance, identify issues and troubleshoot problems in live environments
- Work closely with engineers, architects and stakeholders to deliver integrated platform solutions
- Contribute to improving DevOps, platform and operational practices across teams
Your Experience
To be successful in this role, you will bring:
- Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role
- Proven experience deploying and operating systems on Kubernetes platforms
- Strong hands-on experience with Helm for managing application deployments
- Experience managing systems through their full operational lifecycle
- Solid understanding of monitoring, supportability and reliability concerns in production
- Experience using infrastructure-as-code tools such as Terraform
- Confidence taking responsibility for live systems and outcomes
MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them.
In Return
You'll work on platforms that support AI and data-driven capabilities in real production environments.
This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.
We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.
Guidant Global is acting as an Employment Business in relation to this vacancy
You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism.
What You'll Be Doing
- Design, deploy and operate platforms and services on Kubernetes-based environments
- Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform
- Own systems and applications through their full lifecycle, from deployment to live operation and support
- Ensure systems are supportable, secure, monitored and reliable in production
- Configure and operate machine learning workloads in production, focusing on running models rather than training
- Monitor system performance, identify issues and troubleshoot problems in live environments
- Work closely with engineers, architects and stakeholders to deliver integrated platform solutions
- Contribute to improving DevOps, platform and operational practices across teams
Your Experience
To be successful in this role, you will bring:
- Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role
- Proven experience deploying and operating systems on Kubernetes platforms
- Strong hands-on experience with Helm for managing application deployments
- Experience managing systems through their full operational lifecycle
- Solid understanding of monitoring, supportability and reliability concerns in production
- Experience using infrastructure-as-code tools such as Terraform
- Confidence taking responsibility for live systems and outcomes
MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them.
In Return
You'll work on platforms that support AI and data-driven capabilities in real production environments.
This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.
We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.
Guidant Global is acting as an Employment Business in relation to this vacancy
Reference: 225314044
https://jobs.careeraddict.com/post/113492372
Senior Platform DevOps Engineer
Posted on Jul 1, 2026 by CV-Library
City of London, City and County of the City of London, United Kingdom
IT
Immediate Start
£550 - £800 Daily
Contract/Project
Working Environment
You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism.
What You'll Be Doing
- Design, deploy and operate platforms and services on Kubernetes-based environments
- Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform
- Own systems and applications through their full lifecycle, from deployment to live operation and support
- Ensure systems are supportable, secure, monitored and reliable in production
- Configure and operate machine learning workloads in production, focusing on running models rather than training
- Monitor system performance, identify issues and troubleshoot problems in live environments
- Work closely with engineers, architects and stakeholders to deliver integrated platform solutions
- Contribute to improving DevOps, platform and operational practices across teams
Your Experience
To be successful in this role, you will bring:
- Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role
- Proven experience deploying and operating systems on Kubernetes platforms
- Strong hands-on experience with Helm for managing application deployments
- Experience managing systems through their full operational lifecycle
- Solid understanding of monitoring, supportability and reliability concerns in production
- Experience using infrastructure-as-code tools such as Terraform
- Confidence taking responsibility for live systems and outcomes
MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them.
In Return
You'll work on platforms that support AI and data-driven capabilities in real production environments.
This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.
We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.
Guidant Global is acting as an Employment Business in relation to this vacancy
You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism.
What You'll Be Doing
- Design, deploy and operate platforms and services on Kubernetes-based environments
- Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform
- Own systems and applications through their full lifecycle, from deployment to live operation and support
- Ensure systems are supportable, secure, monitored and reliable in production
- Configure and operate machine learning workloads in production, focusing on running models rather than training
- Monitor system performance, identify issues and troubleshoot problems in live environments
- Work closely with engineers, architects and stakeholders to deliver integrated platform solutions
- Contribute to improving DevOps, platform and operational practices across teams
Your Experience
To be successful in this role, you will bring:
- Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role
- Proven experience deploying and operating systems on Kubernetes platforms
- Strong hands-on experience with Helm for managing application deployments
- Experience managing systems through their full operational lifecycle
- Solid understanding of monitoring, supportability and reliability concerns in production
- Experience using infrastructure-as-code tools such as Terraform
- Confidence taking responsibility for live systems and outcomes
MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them.
In Return
You'll work on platforms that support AI and data-driven capabilities in real production environments.
This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.
We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.
Guidant Global is acting as an Employment Business in relation to this vacancy
Reference: 225314044
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