Telemetry Data Infrastructure DevOps Software Engineer III
Core
Design, develop, and deploy secure, high-throughput data ingest pipelines and DevSecOps infrastructure for large-scale rocket engine telemetry streams.
Role type
Senior IC DevSecOps/Data Infrastructure Engineer
Builds
Real-time telemetry data platforms for engine health monitoring, anomaly detection, and test campaign analysis
Domain
Aerospace propulsion systems / High-throughput data engineering
Deliverable
production ML models | infrastructure
Required skills
Event-driven architectures, high-throughput data pipelines, CI/CD design, Kubernetes, Terraform, TypeScript/Python, Linux internals, SQL/NoSQL, Grafana/Kibana, AWS services, ITAR/EAR compliance
Preferred skills
Time-series data stores, stream-processing frameworks, ML model productionization, LLM frameworks
Technologies
Kafka, Kinesis, Apache Pulsar, Elastic Stack, Docker, Kubernetes, Terraform, Ansible, Pulumi, CloudFormation, Grafana, Kibana, AWS (S3, MSK, OpenSearch, EC2, IAM, Lambda), InfluxDB, TimescaleDB, Kafka Streams, Flink, Spark Streaming, PyTorch, TensorFlow, SageMaker, Bedrock, LangChain
Responsibilities
Design and deploy secure, high-throughput data pipelines for engine telemetry; Define and implement streaming/event-driven architectures; Own search, indexing, and observability capabilities; Establish DevSecOps practices including IaC and automated testing; Develop AI/ML approaches for anomaly detection; Lead root cause analysis on production failures; Optimize platform performance, capacity, and cost; Mentor junior engineers and lead technical reviews.
Seniority
Senior, hands-on IC with leadership responsibilities
