Job Overview:
You will be part of a team to design, validate, test and help to build a complex software stack for a high-performance and resilient Arm’s global engineering platform. You will enjoy a challenge, coding and developing complete systems to a high standard.
Working in the Solution Architecture Team, which is part of the Arm Productivity Engineering department, we are responsible for ensuring that we have a confirmed understanding of both our engineering infrastructure and the engineering workflows that run on top of it, by applying a mixture of Software, DevOps, Data Engineering, Data Analytics and Data Visualisation disciplines to a variety of complex engineering problems.
This is an excellent opportunity to learn and expand your skills working with a complex engineering platform!
Responsibilities:
* Architect, build and lead system integration processes to meet the engineering's needs
* Evaluate any project constraints and devise alternatives to reduce risks, whilst performing process re-engineering
* Analyse and find any impacts that technical changes may have on a business processes
* Perform continuous research on new technologies to stay updated with the best alternatives for the existing architectures
Required Skills and Experience:
* Experience implementing infrastructure-as-code (e.g., CloudFormation, Terraform)
* Knowledge of programming languages such as Scala, Java or Python
* Deep understanding of AWS or other cloud providers (e.g. GCP, Azure)
* Strong understanding of key security technologies and protocols such as TLS, OAuth and SPIFFE.
* Observability, alerting, metrics collection and visualisation (e.g. Prometheus, Grafana, Elasticsearch, Datadog)
“Nice To Have”:
We would be even more impressed if you are passionate about the following:
* Migrating on-premises services to the cloud
* Container orchestration deployment, configuration, and administration (e.g. Docker Swarm, Kubernetes)
* Automation and configuration management (e.g., Ansible, Puppet, Chef)
* Analytics infrastructure and tooling (e.g. Databricks, Apache Spark)
* Technical leadership, championing standard methodologies, and leading technical product transformations
In Return:
We are proud to have a set of behaviours that reflect our culture and guide our decisions, defining how we work together to defy the ordinary and shape the extraordinary.
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