Key skills
JavaSQLNoSQLAIKafkaAirflowFastAPIgRPCAWSGCPTerraformKubernetesServerlessECSEKSGKELambdaKinesisCloud RunPostgresMongoDBRedisPrometheusGrafanaDatadogSplunkMemcachedCaching
About this role
Clari + Salesloft are building the next era of enterprise revenue powered by AI and real signals. The Principal Engineer will be a key member of the Product Engineering team, responsible for shaping interfaces, leading cross-functional projects, and making architecture decisions to drive technical strategy and excellence.
Responsibilities:
- Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams
- Brainstorm with Product Managers, Designers and Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base
- Produce high-quality results by leading large cross-functional projects that have a significant impact on the business
- Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system
- Own architecture decisions across multiple teams, drive long term technical strategy, and raise the bar for engineering excellence company-wide
- Mentor Staff and Senior engineers
Requirements:
- 12+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads
- Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk)
- Deep experience with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS)
- Architected solutions requiring distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures
- Expertise with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of optimizing complex data queries, joins, aggregations, and transformations
- Solid improvements of platform monitoring and optimizations, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently