Dev-Ops Lead Engineer

About us:

is a whole-of-health digital partner that guides organisations and their people to thrive delivering clinically backed digital health mental health and wellbeing solutions.

Our Health Tech delivers digital transformation for Insurers Educators and Employers through Co-creation or seamlessly integrated out-of-the-box solutions that decrease digital fragmentation and engage empower and transform their peoples lives.

Established in 2018 by Stuart McGoldrick and Stephen Costello provides services internationally to over 7.2m insurance members 3000 corporate clients 60 universities and 650000 university students. currently employs over 450 people

Our vision is to change and save as many lives as possible.

Role Brief:

We areseekingan experienced and forward-thinking Dev Ops Lead to own the infrastructure security and continuous delivery pipelines that form the backbone of our AI-driven projects. This is a critical hands-on role where you willbe responsible for building andmaintaininga resilient secure and highly automated environment across our cloud platforms.

You will be the designated expert for all things related to infrastructure and Dev Ops. Your deep understanding of cloud architecture security principles and CI/CD will ensure our engineering teams can build and release software quickly safely and efficiently. If you are passionate about automation andleveragingAI to create intelligent self-healing systems we want to hear from you

Responsibilities:

Cloud Infrastructure & Automation

• Architect build and manage scalable and secure infrastructure on AWS using Infrastructure-as-Code principles primarily with Terraform.
• Develop andmaintainbespoke automation scripts to accelerate project setup on-demand environment creation and other operational tasks.
• Champion and implement solutions like
  
  Local
  
  Stackto streamline local development and testing workflows for engineers.
• Provide expert guidance on systems architecture ensuring our infrastructure is designed for performance scalability and resilience.
• Collaborate with engineering teams to manage and automate the infrastructure for our services including APIs and databases ensuring their performance and reliability.

• Develop and improve CI/CD pipelines using Git Hub Actions from code commit to production deployment.
• Integrate and manage automated testing dependency updates and security scans within the pipelines to ensure code quality and security.
• Empower engineers with the tools and automation needed to reduce friction manage technical debt and focus on building great products.
• Define and continuously improve our release processes ensuring smooth and predictable deployments.

• Act as the subject matter expert for security compliance and data flows within our cloud infrastructure.
• Implement and manage security best practices and automated tooling (SAST/DAST dependency scanning) to protect our applications and data.
• Oversee the security and compliance of AI-related data flows ensuring that any data sent to third-party services is minimized anonymized and explicitly not used for external training purposes.
• Ensure all infrastructure and processes adhere to legal and regulatory requirementsmaintainingcustomer trust and data privacy.

• Implement and manage a robust observability strategy using tools like Sentry Datadog and native cloud services.
• Configure critical alerting and monitoring (e.g. AWS Cloud Watch Alarms) and integrate them with notification services to ensure rapid response.
• Lead the incident management process for infrastructure-related issues with a focus on root cause analysis and proactive prevention to minimize hotfixes.
• Champion the use of AI in operations exploring and implementing tools for anomaly detection predictive analysis and automated remediation.
• Collaborate with our existing Core infrastructureengineeron business-as-usual projects to ensure strategic alignment across the company whilemaintaininga primary focus on the AI project initiatives.

Requirements:

• Proven experience in a Dev Ops/Infrastructure Engineering role with a focus on automation.
• Proficiency in managing cloud infrastructure on AWS.
• Experience supporting infrastructure for ML/AI projects (MLOps) is highly desirable.
• Deep hands-on experience with Infrastructure-as-Code using Terraform.
• Hands-on experience with containerization technologies (Docker Kubernetes) and networking (VPCs Load Balancers).
• Expert-level knowledge of building and managing complex CI/CD pipelines with a strong preference for Git Hub Actions.
• Strong understanding of system architecture security best practices and compliance standards.
• Comfortable with scripting languages (e.g. Python Bash) to build automation and tooling.
• Experience with the operational lifecycle of APIs and databases from an infrastructure perspective.
• Hands-on experience with modern observability and error tracking tools such as Sentry Datadog Prometheus or Grafana.
• You have a deep technical…