Tech Stack
- Docker in production and local development
- Taskfile automation tool of choice
- AWS EKS
- Kafka for our asynchronous message queues
- Elixir for our new backend services
- NextJS/Typescript for our new frontend services
- Ruby, NestJS for some legacy services
- RDS PostgreSQL for persistent data storage
- GitHub Action as CI tool of choice
- Jenkins & Argo Workflow for legacy pipelines
- Redis for key/value store
- Terraform for resource management
What you'll do
- Automation - Seek out processes that can be improved with automation and have internal Developer Experience as the main driver.
- Autonomy - Effectively scope and lead projects autonomously.
- Development Experience - Extend our local development experience offerings for engineers
- Incident Management - Handle incidents with staging environments as if they were production
- Knowledge Sharing - Enrich knowledge across the department by creating Documentation, SOPs, Runbooks and fascinating knowledge-sharing sessions
- Monitoring & Observability - Extend Monitoring & Observability capabilities. Simplifying the process for engineers to access this data
- Collaboration - Collaborate and enable engineers to do their jobs more efficiently
- Engineering Efficiency - Developing tools to maximise engineering efficiency, such as automating the rollback of deployed applications.
- GitOps - Be an advocate of the GitOps methodology.
- Developer Experience Metrics - Assist with defining metrics that we can utilise to assess our internal Developer Experience
We'd love to hear from you if you
- Software Development - Have experience in software development
- Microservices - Have experience working with microservices and distributed systems at scale
- Cross-Team Projects - Have experience with working on cross-team projects
- AWS - Have AWS experience, we use EKS, RDS, S3, Cloudfront and MSK excessively
- SLIs/SLOs/SLAs - Have an understanding of SLIs, SLOs & SLAs
- Networking & Linux - Knowledge of platform and ops concepts such as networking and Linux administration
- CI Tools - Experience with CI tools: we use GitHub Action, Argo Workflows and Jenkins
- Monitoring Tools - Experience with monitoring tools: we use Datadog, Grafana, ELK, Sentry and OpsGenie.
Interview Process
- Screen Stage - Video call with a member from the Talent Team (45-60m)
- 1st Stage - Video call/In-person interview with Hiring Manager (60m)
- 2nd Stage (Technical) - Video call/In-person interview with the Hiring Team (up to 2.5h)
- Final Stage - Video call meet with CTO - 60 minutes
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