Senior SRE Engineer

Underneath the Mox platform is a large-scale, microservice-based cloud architecture that facilitates performance, reliability, and scalability of our products. Mox SRE team is responsible for the observability, availability, reliability of the Mox platform. We are looking for motivated individuals to support, automate, and improve Mox’s infrastructure using the latest technology.



  • Collaborate closely with our development teams in our fast-paced delivery environment.

  • Support the SRE Lead in setting reliability objectives across the layers of our application from business logic to infrastructure.

  • Work closely with development teams in setting operational measures.

  • Assess a wide range of incoming requirements with the wider Engineering team with a focus on how we operate that well in production.


  • Distributed system knowledge applicable to a microservice architecture.

  • Breadth of knowledge – operating systems, networking, distributed computing, cloud computing Public cloud management experience – e.g. AWS, Azure, GCP with IaC (Terraform, CloudFormation, Pulumi) tools.

  • Container Management and container orchestration experience – Docker, Kubernetes.

  • Experience in running JVM appliocation in production environment.

  • Hands-on experience with SQL/RDBMS, PostgreSQL.

  • Proven experience with monitoring tools (e.g. DataDog, Elastic Stack, Prometheus, Grafana).

  • Strong knowledge of Linux/UNIX.

  • Strong scripting skills – Python and Bash.

  • Strong understanding and practice Agile/Lean projects SCRUM, KANBAN etc.

  • Practical knowledge with Git flow, Trunk and GitHub flow branching strategies.

  • Strong English communication skills.


  • Toolchain experience: JIRA, GitHub, CircleCI, Artifactory, SonarQube.

  • Strong messaging systems knowledge, preferably Kafka, alternatively Solace/RabbitMQ/AWS Kinesis.

  • Strong knowledge of Linux/UNIX and TCP/IP Subnet.

  • Knowledge of NoSQL databases such as DynamoDB, Cassandra.

  • Familiar with data lake concepts and machine learning technologies/environments.

  • Enjoy analysing a problem or challenge to create an effective solution.