Job Description

Cloud DevOps Engineer / Platform Engineering

PCD270059

Our MSP client is currently on a major expansion drive and is looking to onboard a number of experienced Cloud Engineers to support the delivery of high profile, business critical programmes across its client portfolio. These assignments span multiple industries, including financial services, retail, manufacturing, and telecoms, with additional opportunities across other large enterprise environments. You will work closely with architecture, security, networking, and platform teams to design, build, and improve cloud environments, supporting initiatives such as migrations, landing zones, connectivity, automation, security hardening, and operational improvements. Successful candidates will be hands on, delivery focused, and comfortable working in fast paced, governed environments. The roles will suit engineers who can combine strong cloud fundamentals with automation and reliability practices, helping teams deploy securely, scale efficiently, and operate with confidence.

Location: London City Hybrid, typically 3 days onsite depending on team
Engagement options: Permanent or Contract
    Permanent: salary £75,000 to £120,000 plus bonus, equity, and benefits
    Contract: £650 to £750 plus per day Inside IR35 

Role summary
We are hiring a Senior Cloud DevOps Engineer to design, build, and run secure, scalable cloud infrastructure for high performance products in FinTech, trading technology, asset management, or regulated SaaS. You will lead DevOps initiatives, improve developer experience, and embed automation, reliability, and security across the delivery lifecycle. The environment is modern, governance aware, and outcome driven, with a strong focus on CI CD, Infrastructure as Code, Kubernetes, observability, and cost control.

What you will be doing
• Architect and implement cloud infrastructure across GCP and AWS, with some environments also using Azure or hybrid patterns
• Build, optimise, and operate Kubernetes platforms, including GKE and EKS, with strong focus on performance, scaling, and availability
• Design and maintain CI CD pipelines using cloud native tooling and common platforms such as GitHub Actions, Cloud Build, ArgoCD, or similar
• Drive GitOps ways of working for infrastructure and application deployments
• Automate provisioning, configuration, and operational tasks using Terraform and scripting in Python and shell
• Improve observability using cloud operations tooling and integrations such as Prometheus and Grafana, plus logging, tracing, and alerting standards
• Embed security by design through IAM and role modelling, secrets management, key management, vulnerability scanning, and policy controls
• Deliver resilience improvements including backups, rollback patterns, disaster recovery, and incident readiness
• Lead cost optimisation across cloud workloads through rightsizing, monitoring, and usage controls
• Provide technical leadership through mentoring, standards, reviews, and platform roadmaps

Database and migration focus where required
• Lead or support database migration programmes into cloud environments
• Deliver high availability database patterns and operational controls, including backup and recovery strategies
• Experience migrating MySQL to Aurora is highly valuable in AWS estates
• Familiarity with migration tooling such as DMS and related approaches is beneficial
• Performance tuning and scalability patterns such as read replicas and caching

Core skills and experience
• Strong hands on DevOps background with 4 plus years in cloud and automation
• Deep cloud knowledge with primary experience in GCP and or AWS, including compute, networking, security, and managed services
• Strong Kubernetes and containerisation experience including Docker and cluster operations
• Strong Infrastructure as Code skills, particularly Terraform
• Strong CI CD capability and experience building reliable pipelines and release patterns
• Strong Linux fundamentals and operational troubleshooting skills
• Solid scripting and automation using Python and shell
• Strong understanding of cloud security practices including IAM, encryption, KMS, secrets, vulnerability management, and governance
• Strong communication skills and confidence working with engineers, security, and non technical stakeholders

Desirable experience
• Service mesh or identity patterns such as Istio, Anthos, workload identity
• GCP services such as GKE, Cloud Functions, Pub Sub, BigQuery, Cloud SQL or Spanner, Cloud Storage
• AWS services such as RDS, Aurora, DynamoDB, Global Accelerator
• Configuration management tooling such as Ansible or Puppet
• Experience supporting trading, risk, lending, payments, or regulated financial services platforms
• Relevant certifications such as GCP Professional Cloud Architect or DevOps Engineer, AWS certifications, or similar

What success looks like
• Build and deployment pipelines are fast, repeatable, and secure
• Environments are stable, observable, and easy for teams to use
• Incidents reduce over time through automation, standards, and better resilience
• Cloud spend is visible and controlled with practical optimisation in place
• Platform engineering is treated as a product with clear roadmaps and measurable improvements

Keywords 
DevOps, Platform Engineering, Cloud Engineering, GCP, AWS, Azure, Kubernetes, GKE, EKS, Terraform, GitOps, ArgoCD, CI CD, GitHub Actions, Cloud Build, Linux, Docker, Python, Shell, Observability, Prometheus, Grafana, IAM, KMS, Security Command Center, Cost Optimisation, RDS, Aurora, MySQL migration, DMS, Disaster Recovery, FinTech, Trading, Hedge Fund, Asset Management