Staff/Lead Platform/DevOps Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff/Lead Platform/DevOps Engineer based in United Kingdom.
Join a high-impact engineering team responsible for building and evolving the platform that powers modern AI-driven enterprise solutions. In this role, you will design scalable cloud infrastructure, strengthen platform reliability, and enable engineering teams to deliver products faster and more efficiently. Working in a collaborative, remote-first environment, you'll tackle complex infrastructure challenges across Kubernetes, cloud platforms, and Infrastructure as Code. You'll play a key role in shaping multi-region architectures, improving observability, and driving automation initiatives that support rapid growth. This is an excellent opportunity for an experienced platform engineer who thrives in fast-paced environments, enjoys solving technical challenges at scale, and wants to influence the future of cloud infrastructure.
As a Staff/Lead Platform/DevOps Engineer, you will strengthen the engineering platform while enabling development teams to build, deploy, and operate reliable applications. Key responsibilities include:
- Support engineering teams by maintaining resilient Kubernetes environments and providing guidance on platform best practices.
- Design, develop, and maintain Infrastructure as Code using Terraform while contributing to the migration toward Crossplane.
- Build and enhance internal platform services and automation tools, including Python-based solutions.
- Manage cloud infrastructure across multiple regions, including Kubernetes clusters, IAM, networking, and identity management.
- Troubleshoot production issues, investigate infrastructure incidents, and drive root cause analysis to improve platform reliability.
- Lead initiatives related to multi-region deployments, single-tenant environments, and Bring Your Own Cloud (BYOC) architectures.
- Improve observability by implementing dashboards, monitoring, logging, tracing, and alerting solutions.
- Contribute to FinOps initiatives by optimizing cloud resource usage and improving cost visibility across environments.
- Collaborate closely with software engineers to streamline development workflows, improve platform capabilities, and accelerate software delivery.
Benefits:
The company offers a competitive and flexible rewards package designed to support your career growth and personal wellbeing, including:
- Competitive salary aligned with experience, skills, and market benchmarks.
- Stock options.
- Fully remote work with flexible location options and hybrid hub access where available.
- Company laptop and remote workspace stipend.
- Co-working budget.
- Flexible working hours.
- Generous paid time off in addition to local public holidays.
- Enhanced parental leave.
- Health and retirement benefits.
- Annual learning and development budget.
- Annual company workaways plus regular virtual and in-person social events.
- Opportunity to contribute to innovative AI infrastructure projects with meaningful global impact.
Requirements:
The ideal candidate combines deep platform engineering expertise with strong collaboration skills and a passion for building scalable cloud infrastructure. You should have:
- Strong hands-on experience managing Kubernetes environments (GKE preferred, with EKS or other managed Kubernetes platforms also considered).
- Proven expertise with Infrastructure as Code, particularly Terraform, with knowledge of GitOps practices and tools such as ArgoCD.
- Experience managing IAM and cloud infrastructure on GCP or AWS.
- Strong understanding of cloud-native architecture, container orchestration, networking, and production infrastructure.
- Experience implementing monitoring and observability solutions using tools such as Grafana, Honeycomb, Datadog, New Relic, or similar platforms.
- Programming experience, particularly with Python, to build automation and internal platform tooling.
- Experience participating in or leading incident response and troubleshooting complex production systems.
- Excellent communication skills with the ability to collaborate effectively across engineering teams and explain complex infrastructure concepts.
- Experience working in startup or scale-up environments with a proactive, adaptable, and ownership-driven mindset.
Nice to have:
- Experience with Crossplane, GPU workloads, or machine learning infrastructure.
- Knowledge of Temporal, MongoDB, PostgreSQL, SQL Server, or similar technologies.
- Experience with Grafana Alloy, Loki, or related observability tooling.
- Familiarity with Kubernetes security, compliance initiatives, or cloud security best practices.
