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Swiss Re

DevSecOps Engineer II

Swiss Re is hiring a DevSecOps Engineer II in Mexico City, Mexico. Level rates it ; you can apply on Swiss Re.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this cybersecurity role: the daily work is on AI products, without building the model.
  • Level classifies it as a mid-level role.
  • Level lists 240 other open roles at Swiss Re.
  • The role was posted within the past week.

AI in this role

About the Role

 

You are a DevSecOps engineer with strong expertise in Terraform, Microsoft Azure, and Kubernetes. You are passionate about building secure, scalable, and automated cloud platforms that enable engineering teams to deliver reliably and efficiently.

You combine infrastructure engineering, cloud automation, platform security, and operational excellence with an evolving focus on AI-assisted engineering and future system specification-driven delivery models.

You think in systems, automate wherever possible, and help define secure engineering guardrails across the full software lifecycle.

 

About the Team

 

The CorSo Accident and Health team is building innovative, cloud-native insurance technology platforms designed for the future.

We operate with a startup mentality, move quickly, challenge conventional approaches, and leverage modern engineering and AI-assisted capabilities to deliver differentiated solutions in a competitive marketplace. 

 

Responsibilities

 

Cloud Platform Engineering

 

  • Design, build, and maintain Azure-based cloud infrastructure
  • Develop and manage Infrastructure as Code using Terraform
  • Build and operate Kubernetes platforms and container orchestration environments
  • Design reusable infrastructure modules and deployment patterns 

 

Security & Compliance 

 

  • Implement cloud security best practices and secure-by-default infrastructure patterns
  • Design and manage identity, authentication, and authorization controls
  • Implement secrets management, policy enforcement, and runtime security controls 
  • Support vulnerability management, auditability, and compliance initiatives 

 

Automation & Operations 

 

  • Build and maintain CI/CD pipelines and deployment automation
  • Implement monitoring, logging, alerting, and operational observability solutions
  • Support incident response, diagnostics, and platform reliability initiatives
  • Improve developer experience through automation and platform tooling 

 

AI-Assisted Engineering (Emerging)

 

  • Use AI-assisted tools to accelerate infrastructure engineering and operational workflows
  • Validate AI-generated infrastructure configurations and automation artifacts
  • Contribute to machine-readable infrastructure specifications and deterministic deployment patterns
  • Help define engineering guardrails and validation-first operational models
  • Support the evolution toward agentic engineering and autonomous operational capabilities 

 

Technical Collaboration

 

  • Collaborate closely with software engineers, architects, and security teams
  • Participate in platform architecture and technical design discussions
  • Contribute to engineering standards, operational excellence, and continuous improvement
  • Mentor teams on cloud-native and secure engineering practices 

 

Required Experience & Capabilities

 

  • 5–10+ years of infrastructure, cloud, or DevSecOps engineering experience
  • Strong Terraform experience Deep Azure cloud platform knowledge Strong Kubernetes and container orchestration expertise
  • Experience with CI/CD tooling and deployment automation
  • Experience implementing cloud security and identity solutions
  • Strong Linux and networking fundamentals
  • Experience with monitoring, logging, and observability tooling
  • Strong troubleshooting and operational support capabilities 

 

Growth & Leadership Signals

 

  • Ability to think in end-to-end platforms and systems
  • Strong automation-first mindset
  • Experience validating complex infrastructure implementations
  • Interest in AI-assisted infrastructure engineering and emerging operational models
  • Strong communication and collaboration skills
  • Continuous learner with awareness of cloud and security trends 

 

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

 

Keywords: y 
Reference Code: 138224 

 

 

How we rate this

DevSecOps Engineer II at Swiss Re rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$159k

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