Overview
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!
Full job description
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!
E-Space is bridging Earth and space to enable hyper-scaled deployments of space-powered Internet of Things (IoT) solutions and services. We are fundamentally changing the design, economics, manufacturing, coverage limitations and service delivery associated with traditional satellite and terrestrial IoT systems.
By building a highly-advanced low Earth orbit (LEO) space system—with a unique antenna design, highly sustainable spacecraft system and low-cost, small portable end-user devices—we can extend global satellite coverage, capacity and connectivity beyond legacy space services to provide a new kind of IoT platform that lets users sense, track, connect and act on information gathered, anywhere.
We’re intentional, we’re unapologetically curious and we’re 100% committed to saving space, protecting our planet and turning connectivity into actionable intelligence.
What is the role? E-Space is looking for a Senior Software Engineer to join our Ground Software team. You will collaborate with multidisciplinary engineering teams to build the mission-critical software that powers our satellite constellation operations. You will develop highly available, highly-scalable backend systems using Python in an API-first, event-driven architecture deployed in the cloud using containerized solutions.
Working on greenfield projects, you'll be responsible for the entire software development lifecycle—from system design and architecture to hands-on coding and infrastructure implementation. This role combines technical leadership with deep engineering work, making foundational decisions that will scale with our growing constellation.
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
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
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
This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected.
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