Sr. Software Engineer (Site Reliability), eBusiness Services

What you'll do

• Implement and maintain DevOps practices; improve system scalability, reliability, and performance.
• Manage machine-learning models across production and non-production environments; detect anomalies and optimize systems.
• Support production services and distributed systems through deployments, on-call, incident response, root-cause analysis, and reliability improvements.

What they ask for

• Bachelor of Science in Computer Science or a related field.
• At least 8 years of experience in Site Reliability Engineering, DevOps, or an infrastructure-focused role.
• Experience building and operating container orchestration systems such as Kubernetes or EKS; proficiency in one or more programming languages, such as Java or Python.
• Experience supporting internet-facing production services and distributed systems; proficiency implementing telemetry with observability tools; understanding of security concepts and protocols.

Nice to have

• Knowledge of HTTP/S, TCP, DNS, web application load balancing, relational and NoSQL databases, and application/database performance tuning.
• Experience resolving Kubernetes issues and working in large-scale distributed production environments; knowledge of middleware such as WebMethods Integration Server or Apache Camel.

Tools

Kubernetes, EKS, Java, Python, Splunk, Grafana, Prometheus, MongoDB

AI focus

Manage the lifecycle of machine-learning models in production and non-production environments; work involving machine learning, anomaly detection, and threat detection.