Please note: Experience with Hardware / Sensors / Industrial IoT is essential.
Build and own the software delivery platform where security, automation and observability ship with every release.
A global industrial technology business builds analytics on top of large-scale sensor and telemetry data from mission-critical equipment. They're growing a new product engineering team and need a DevOps Engineer / DevSecOps engineer to build the delivery platform underneath it.
You’ll own the software delivery platform behind the Enterprise Analytics squads: designing, securing, automating and operating it across cloud-native and customer-managed on-prem deployments from a single common code base.
- Secure CI/CD pipelines in GitHub Actions and/or Azure DevOps
- Automated deployments across Azure, Azure Arc, Azure Stack Hub, Kubernetes and customer-managed environments
- SAST, DAST, SBOMs, artifact signing, secrets and vulnerability management
- Infrastructure as Code with Terraform, Bicep and Helm
- Observability with OpenTelemetry, Prometheus, Grafana and centralised logging
- Partnering with Product Engineers, Architects and QA to lift engineering productivity through automation
- Azure/AWS, Azure Arc, Azure Stack Hub and hybrid-cloud deployment experience
- Zero Trust, IAM, OAuth2/OIDC, PKI, secure SDLC and industrial cybersecurity
- Hands-on using AI tools to automate engineering workflows
- Bachelor's in Computer Science or a related discipline
- Security is a design requirement, not an afterthought
- Observability is a platform capability
- Design once, deploy anywhere
- Enable product teams through reusable platform capabilities
You’ll build the platform behind analytics products running on industrial sensor data at scale, and help shape how a new engineering team works from day one.
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