Employer description & source details
Strong experience operating large-scale production services in AWS and/or GCP. Deep expertise with Kubernetes in production environments. Experience troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle issues. Extensive experience with Infrastructure as Code technologies such as Terraform and Helm. Strong software engineering skills in Golang and/or Python. Experience building automation and internal engineering platforms. Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies. Strong understanding of cloud networking fundamentals including DNS, load balancing, ingress, TLS, service networking, and traffic management. Experience with observability platforms, monitoring strategies, and production telemetry. Experience with or strong interest in AI-assisted engineering and operational automation. Strong expertise operating customer-facing production systems. Experience leading incident response and driving operational improvements. Deep understanding of reliability engineering concepts including SLIs, SLOs, error budgets, and capacity planning. Strong understanding of CI/CD pipelines, deployment strategies, and automation-first operational practices. Proven ability to balance reliability, scalability, security, and engineering velocity. Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Extracted skills: python, go, postgresql, mysql, redis, aws, kubernetes, terraform, machine learning, artificial intelligence, security, operations