Sr. Staff Software Engineer
Posted Updated
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.
