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DevOps Engineer (Lead Track, AI-Native)

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Onsite

DevOps Engineer (Lead Track, AI-Native)

BC Platforms

DevOps Engineer (Lead Track, AI-Native)

Skills

PythonAIAWSGitHubLinuxKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

3 September 2026

What they need


  • Reporting to: VP Product Technology & Platform
  • We are looking for a technically strong DevOps engineer who wants to grow into a leadership role by delivering results first
  • You will help shape the future of our cloud platform, improve developer productivity, and support healthcare innovations that positively impact patients worldwide
  • Build and operate scalable cloud infrastructure and CI/CD pipelines
  • Automate deployments, operational processes, and developer workflows
  • Improve platform reliability, security, and observability
  • Leverage AI tools to accelerate engineering delivery and reduce manual effort
  • Support and mentor teammates while growing into a DevOps leadership position
  • Your team will include:
  • Product engineering teams across multiple countries
  • Platform, security, data, and cloud specialists
  • Cross-functional stakeholders supporting healthcare and life sciences solutions
  • As the team grows, this role is expected to become a key technical and leadership position within the DevOps function
  • Your roadmap in this role:
  • Within 6 months: Stabilize active DevOps initiatives and accelerate delivery velocity
  • Identify opportunities for automation and operational improvements
  • Within a year: Deliver highly automated, reliable, and observable deployment processes
  • Significantly reduce operational toil through automation and AI-native practices

Benefits

  • Learning and development opportunties
  • Regular company events
  • Healthcare plans as well as travel insurance where applicable
  • Flexible hours and paid time off
  • Laptop, mobile phone and headphones- Expertise with infrastructure as code, including Terraform, CloudFormation, or CDK
  • AI-native working style with regular use of tools such as GitHub Copilot, Cursor, Claude Code, or similar
  • Strong hands-on AWS experience and familiarity with Azure
  • Experience developing automation solutions in Python or similar languages
  • 3+ years of experience in DevOps, platform engineering, cloud infrastructure, or related fields
  • Experience running and securing production environments
  • Excellent written communication and documentation capabilities
  • Solid Linux, Git, and production systems administration skills
  • AWS certifications
  • Experience with Kubernetes and container orchestration
  • Experience in regulated environments such as healthcare, HIPAA, GDPR, ISO 27001, or SOC 2- 📆 Start date: September 2026

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