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Oleria

Sr. Staff Software Engineer

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Description

Responsibilities:

  • Help architect, design, build, and deploy the company's next-generation service mesh and cloud infrastructure.
  • Contribute to evolving our deployments by building solutions using Docker, Kubernetes, Istio/Envoy, and Terraform.
  • Join in efforts to investigate new technology and tools to be adopted by the company.
  • Help build and integrate security as part of the infrastructure.
  • Collaborate on internal customer engagements as we migrate workloads to Kubernetes + Istio + open-source observability tools and technologies.
  • Work closely with the Observability team to integrate and scale existing and new observability tools as part of a holistic solution.
  • Work closely with the SRE team to maintain availability of our services and improve onboarding workflows.
  • Mentor other team members to define and adopt new or improve existing processes and procedures.


Requirements:

  • Strong hands-on experience in cloud technologies. AWS, ECS, and Kubernetes (EKS, GKE, AKS or others) are preferred.
  • Knowledge of another cloud platform like GCP or Azure is a plus but not required.
  • Demonstrated understanding of overall infrastructure design and developing tools to enable and automate the infrastructure.
  • Experienced with a high-level scripting language (such as Python) and a system programming language (such as Go).
  • Strong experience with Kubernetes.
  • Production experience in testing and deploying applications via modern CI/CD tools and concepts.
  • Familiarity with Observability tools like Prometheus, Thanos, Loki, Grafana, etc.
  • The drive and self-motivation to understand the intricate details of a complex infrastructure environment.
  • Ability to work independently.
  • Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders.
  • Experience with integrating AI tools for improving processes and reducing toil is a plus.
  • Master's degree or equivalent experience (8+ years)
  • You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.

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