- Experience designing and operating high-throughput, low-latency distributed
systems. * Experience with AWS services, including EC2, EKS, ALB, CloudWatch, S3, ElastiCache, or equivalent services. * Experience with Redis/Valkey, cache invalidation strategies, TTL management, distributed caching, and cache failure scenarios. * Strong understanding of Kafka architecture, including partitioning, replication, ordering, consumer lag, rebalancing, retries, and exactly-once/at-least-once processing. * Experience with MongoDB replication, sharding, indexing, aggregation pipelines, and high-volume workloads. * Experience with Akamai CDN, edge caching, traffic routing, bot management, WAF, or related edge technologies. * Experience with observability platforms such as Prometheus, Grafana, ELK/Splunk, Datadog, or CloudWatch. * Knowledge of application and API security, including OAuth2, JWT, TLS, OWASP, authentication, authorization, and secure API design. * Experience with Kubernetes, Helm, Terraform, GitOps, or infrastructure-as-code practices. * Experience building event-driven and asynchronous architectures. * Experience with performance engineering, load testing, capacity planning, and production tuning. * Familiarity with Generative AI, LLM-based developer tools, AI-assisted software development, or agentic workflows is a plus. * Experience working in large-scale engineering organizations with globally distributed teams is a plus.