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Blue Origin

Builds rockets, engines and lunar spacecraft

Telemetry Data Infrastructure DevOps Software Engineer 3

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeWashington, USA$164.7k - $230.5kIn-person

About the Job

Requirements

  • A B.S. degree or higher in computer engineering, electrical engineering, computer science, data science, information systems, mathematics, physics, aerospace, or a related field is required.
  • At least five years of hands-on experience developing and testing software or data systems is required.
  • Demonstrated experience as a DevOps/DevSecOps engineer, data engineer, or similar software engineering role, including ownership of production systems, is required.
  • Experience designing, implementing, and scaling data pipelines for high-volume streaming and batch data is required.
  • Experience designing and maintaining CI/CD pipelines, including pipeline creation, editing, and deployment automation, is required.
  • Demonstrated experience with Kafka or an equivalent event-driven/streaming platform such as Kinesis or Pulsar, including topic design, partitioning, and consumer group management, is required.
  • Demonstrated experience with the Elastic Stack (Elasticsearch, Logstash, Kibana) or similar search and indexing technologies at scale is required.
  • Experience with Linux internals, including commands and shell scripting, is required.
  • Experience with Docker or containers and container orchestration such as Kubernetes is required.
  • Experience with TypeScript or Python and at least one additional language such as Java, Scala, Go, or C++ is required.
  • Experience with Agile methodologies is required.
  • Working knowledge of databases and SQL, including NoSQL, and experience in schema and data model design are required.
  • Experience building dashboards and data visualizations such as Grafana or Kibana is required.
  • Experience with cloud services, preferably AWS, such as S3, MSK, OpenSearch, EC2, IAM, or Lambda, is required.
  • Working knowledge of data security best practices and secure software delivery is required.
  • Experience leading technical reviews and providing technical guidance or mentorship to other engineers is required.
  • Ability to determine appropriate methods and approaches to new problems with limited direction is required.
  • Ability to learn quickly, multitask, and drive tasks to completion using agents and hands-on work is required.
  • Ability to present technical concepts and recommendations to peers, customers, and leadership is required.
  • Applicants must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Responsibilities

  • Own the design and delivery of data ingest and DevSecOps capabilities supporting engine telemetry, determining methods and approaches for new assignments with limited direction.
  • Solve complex problems spanning multiple systems; own schedules and technical milestones; lead technical reviews; review other engineers’ work; and mentor junior team members.
  • Work across teams and with internal customers and external stakeholders to align the data platform with program needs.
  • Design, develop, and deploy secure, high-throughput data pipelines for large-scale engine telemetry streams, owning performance, scalability, and reliability outcomes.
  • Contribute to and help define the Engines DevSecOps and data ingest roadmap, translating program needs into technical approaches and phased implementation plans.
  • Design and implement streaming and event-driven architectures using Kafka, Kinesis, or Apache Pulsar to support real-time and near-real-time telemetry ingest and distribution across multiple consumers.
  • Own the design, deployment, and tuning of search, indexing, and observability capabilities using time-series databases such as the Elastic Stack (Elasticsearch, Logstash, Kibana) for high-volume time-series and log data, including index lifecycle, sharding, and retention strategies.
  • Establish and improve DevSecOps practices across the data platform, including CI/CD pipeline design, infrastructure as code, automated testing, secrets management, and continuous monitoring.
  • Design data models and storage strategies supporting multi-resolution time-series data (raw, downsampled, and aggregated), and implement dashboards and data views such as Grafana and Kibana.
  • Develop AI/ML and LLM-based approaches for anomaly detection, health monitoring, and automated engine data checks, and drive them from prototype to production.
  • Lead root cause analysis on complex production pipeline failures and data quality non-conformances, and drive corrective and preventive actions to closure.
  • Define and execute performance, capacity, and cost optimization efforts across the data platform.
  • Author and approve technical artifacts, including interface specifications, design documentation, test procedures, runbooks, and configuration standards.
  • Identify, quantify, and communicate technical, cost, and schedule risks to leadership, and propose mitigation approaches.
  • Drive tool development and process improvements that reduce error rates and improve platform efficiency across the team.
  • Define and implement security and compliance controls in accordance with Blue Origin standards and export control (ITAR/EAR) requirements.
  • Lead technical reviews and provide peer review and technical guidance to Level I and Level II engineers, mentoring on tooling, standards, and best practices.
  • Collaborate with multidisciplinary teams across engine test, design, analysis, and IT/security to deliver telemetry data solutions, and represent the data platform in cross-program forums.

Desired Qualifications

  • Experience with time-series data stores such as InfluxDB or TimescaleDB and downsampling or multi-resolution data strategies is preferred.
  • Experience with stream-processing frameworks such as Kafka Streams, Flink, or Spark Streaming is preferred.
  • Experience developing and productionizing machine learning models for anomaly detection or health monitoring on sensor or telemetry data is preferred.
  • Experience with LLMs and modern AI frameworks or services such as PyTorch, TensorFlow, SageMaker, Bedrock, or LangChain is preferred.
  • Experience with secure DevSecOps tooling (SAST/DAST, SBOM, vulnerability scanning) and compliance frameworks such as NIST 800-53/171 is preferred.
  • Experience with observability tooling such as Prometheus, OpenTelemetry, or Grafana Loki is preferred.
  • Experience with propulsion, engine test, manufacturing, or other high-reliability engineering data environments is preferred.
  • Experience establishing data governance, lineage, and data quality practices is preferred.
  • Experience influencing technical standards or best practices across multiple teams is preferred.
  • Additional certifications in data engineering, DevSecOps, or cloud services are preferred.

About the Company

Blue Origin

Builds rockets, engines and lunar spacecraft

Blue Origin builds rockets, engines and spacecraft for commercial satellite operators and government space programs. Its New Glenn orbital rocket uses a reusable first stage, while Blue Moon landers are designed to transport cargo and astronauts to the lunar surface. The company designs and manufactures liquid-fueled propulsion systems, and its New Shepard vehicle is built for short suborbital trips carrying people and research payloads. Customers pay for launch services and engines, and government development contracts fund work on systems for exploration beyond Earth orbit. Founded by Jeff Bezos in 2000, Blue Origin is headquartered in Kent, Washington.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$10.1B
Headquarters
Kent, WA
Founded
2000

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