DevOps & Security Engineer

Iprova Sàrl

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Cutting-edge technology
Continuous learning opportunities
Flexible working hours
Inclusive work culture
Real-world impact on global innovation

Job summary

Iprova Sàrl in London is looking for a DevOps & Security Engineer to manage and secure the infrastructure for their AI-driven innovation platform. The position involves designing, deploying, and maintaining robust cloud infrastructure while implementing effective security practices. Candidates should have a degree in a related field and experience with Kubernetes and Terraform. The role offers a hybrid working model with flexible hours and a collaborative work culture.

Qualifications

  • Proven industry experience operating Kubernetes in production environments.
  • Hands-on experience managing cloud infrastructure on Azure, AWS, or GCP.
  • Experience with monitoring and observability tooling for cloud-native systems.

Responsibilities

  • Design, implement, and maintain scalable and secure infrastructure using Kubernetes.
  • Implement security best practices across infrastructure and CI/CD pipelines.
  • Monitor system performance, reliability, and security across all environments.

Skills

Kubernetes expertise
Infrastructure as Code with Terraform
Cloud security best practices
CI/CD pipelines development
Unix/Linux proficiency
Strong communication skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Azure
GitHub
Terraform
Kubernetes

Job description

  • Permanent, full time (Hybrid 2-3 days in office)
  • London, UK
Who we are

Iprova is a pioneering and fast-growing technology start-up with offices in Lausanne, Switzerland, and London, UK. We support some of the world’s best-known technology companies in North America, Europe, and Japan to enable the products and services of tomorrow to be invented faster and more disruptively than ever before. Our advanced AI-based algorithms and software platform help our clients and in-house inventors create breakthrough innovations.

We’ve helped customers file hundreds of patents in areas such as autonomous vehicles, healthcare, and communications, with our inventions cited by industry leaders like Microsoft, Google, and Amazon.

The Opportunity

Join our dynamic technical team and play a key role in building and securing the infrastructure that powers our AI-driven innovation platform. As a DevOps & Security Engineer, you will help design, deploy, and maintain robust cloud infrastructure while ensuring the highest standards of security, reliability, and scalability across all our systems.

You will work closely with our engineering teams, embedding security and operational excellence into every layer of our platform — from Kubernetes workloads to CI/CD pipelines and cloud identity management.

Key Responsibilities

Infrastructure & Platform

  • Experience with workstation management, including proficiency in related tools such as Microsoft Intune, Microsoft Defender, and Microsoft Purview.
  • Design, implement, and maintain scalable and secure infrastructure using Kubernetes clusters on Azure
  • Develop and maintain infrastructure as code using Terraform
  • Implement GitOps workflows using ArgoCD for Kubernetes deployments
  • Create and maintain Helm charts for Kubernetes deployments
  • Build and maintain CI/CD pipelines using GitHub and modern pipeline tooling
  • Implement Dagger-based pipelines and workflow orchestration (e.g., Argo Workflows)
  • Support engineering teams with secure, reliable, and efficient deployment practices

Security & Reliability

  • Implement security best practices across infrastructure, Kubernetes workloads, and CI/CD pipelines
  • Manage identity, access control, and secrets across cloud and Kubernetes environments
  • Monitor system performance, reliability, and security across all environments
  • Continuously improve platform reliability, scalability, and overall security posture
Skills and Requirements
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Software Engineering, or a related field
  • Proven industry experience operating Kubernetes in production cloud environments
  • Hands-on experience managing infrastructure on Azure, AWS, or GCP
  • Strong experience with infrastructure as code using Terraform
  • Solid understanding of cloud and container security best practices
  • Experience with monitoring and observability tooling for cloud-native and Kubernetes systems
  • Comfortable working in Unix/Linux environments
  • Strong communication skills and ability to collaborate across cross-functional engineering teams
  • Work from the Shoreditch office 2-3 days a week
Nice to Have
  • Experience with GitOps tools such as ArgoCD
  • Familiarity with Dagger-based pipelines and workflow orchestration (e.g., Argo Workflows)
  • Experience creating and maintaining Helm charts for Kubernetes deployments
  • Background in application security, penetration testing, or compliance frameworks (e.g., ISO 27001, SOC 2)
  • Experience with secrets management tooling such as HashiCorp Vault or Azure Key Vault
Soft Skills
  • Strong problem-solving skills with an analytical, systematic mindset
  • Collaborative team player who communicates effectively across engineering teams
  • Ownership mindset — comfortable taking ideas from concept through deployment and iteration
What we value
  • Security-first thinking — building systems that are safe by design, not as an afterthought
  • Operational rigour: you care deeply about reliability, observability, and reducing toil
  • Pragmatism — choosing the right tool for the job, not just the latest trend
  • Ownership from design through to production, including on-call and incident response
  • Collaboration with engineering teams to uplift security and DevOps culture across the organisation
Benefits of joining us
  • Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems
  • Inclusive Work Culture: Collaborative environment emphasizing mutual respect
  • Flexible Working Hours: Arrangements that prioritize productivity and work-life balance
  • Real-World Impact: Build AI systems that accelerate global technological innovation
  • Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture
  • Hybrid Working: 2-3 days per week from our Shoreditch
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