Quick overview
Job description
What you will be doing:
- Architect and scale a Python-based Ground Data System designing microservices that handle real-time command uplink, telemetry downlink, and event processing across a growing constellation
- Build binary protocol pipelines for CCSDS-compliant spacecraft communication, including TC/TM framing, CFDP file transfers, and AES encryption/decryption
- Own the messaging infrastructure to evaluate and optimize MQTT broker architecture, and quantify performance bottlenecks (MQTT throughput, QoS tuning, database writes, CPU-bound encoding/decoding)
- Build high-performance APIs for mission-critical command and control operations
- Create workflow orchestration systems for automated satellite and ground procedures
- Integrate with ground station networks and cloud infrastructure to develop scalable data ingestion and processing pipelines for high-rate satellite telemetry and command streams
- Establish software engineering and DevOps best practices including code reviews, testing standards, and architectural guidelines
- Collaborate cross-functionally with Flight Software, Payload, and Mission Operations Teams
What you bring to the role:
- 5+ years of backend software engineering experience building scalable, fault-tolerant systems for telemetry ingestion, command & control, or real-time data processing at scale
- Proficiency with microservices architecture, message queues, gRPC, and protobufs
- Expert Python skills with experience with modern frameworks (FastAPI, Pydantic, SQLAlchemy), asynchronous programming (asyncio, threading), API development
- Knowledge of CCSDS protocols (TC, TM, CFDP) or willingness to learn space communication standards quickly
- Time-series databases (InfluxDB, TimescaleDB, or similar at high ingest rates)
- Kubernetes production experience (HPA, resource management, networking, debugging pods at scale) Experience designing and implementing event-driven architectures and workflow orchestration systems
- Solid understanding of AWS services, PostgreSQL, and container-based deployment solutions
- Hands-on experience with CI/CD pipelines, automated testing, and modern software development practices
- Experience with message bus systems (Kafka, MQTT) and in-memory databases for real-time data processing
- Knowledge of Infrastructure as Code (Terraform/OpenTofu), monitoring/observability tools, and high-availability system design
- Experience with high-throughput data processing and performance optimization for mission-critical applications
- Strong system design skills with ability to make architectural decisions for scalable distributed systems
Bonus Points for the following:
- Bachelor's degree in Software Engineering, Computer Science, or equivalent
- Experience with Kubernetes and container orchestration platforms
- Knowledge of time-series databases
- Background in satellite operations, mission control systems, aerospace, defense, or other mission-critical industries
- Grafana/observability stack for distributed systems monitoring Strong intellectual curiosity and commitment to continuous learning
- Exceptional attention to detail and an ownership mentality
Additional Requirements
This is a full time, exempt position, based out of our Santa Clara, CA location. The target base pay for this position in Santa Clara, California is $150,000 - $200,000 annually. The total compensation package will be determined by various factors such as your relevant job-related knowledge, skills, and experience and location.
We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed.
E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.
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