JOB DUTIES AND RESPONSIBILITIES
- Design, develop, and maintain orchestration pipelines supporting machine learning workflows.
- Improve observability and monitoring of ML pipelines to ensure health and reliability.
- Build tooling to validate and verify pipeline outputs.
- Contribute to the next generation of distributed orchestration systems.
- Manage project priorities, deadlines, and deliverables in coordination with product stakeholders.
- Provide technical guidance to teammates on backend best practices and system reliability.
- Document workflows, architecture, and operational procedures.
JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS
- Bachelor’s or higher degree in Computer Science, Engineering, or related technical field.
- 6+ years of professional experience developing backend systems in small to medium-sized organizations (additional years expected for larger organizations).
- Strong proficiency in Python with hands-on experience developing backend systems.
- Experience with databases such as PostgreSQL and Redis.
- Familiarity with distributed systems design and implementation.
- Strong communication skills with the ability to work in a collaborative engineering environment.
PREFERRED EXPERIENCE
- Experience supporting machine learning or ETL pipelines.
- Familiarity with containerized/cloud-native environments (Docker, Kubernetes).
- Experience with automated testing frameworks for backend or ML pipelines.
- Exposure to aerospace, defense, or mission-critical environments.
- Demonstrated ability to mentor and collaborate with cross-functional teams.
Skills Required
- Bachelor's or higher degree in Computer Science, Engineering, or related technical field.
- 6+ years of professional experience developing backend systems in small to medium-sized organizations.
- Strong proficiency in Python with hands-on experience developing backend systems.
- Experience with databases such as PostgreSQL and Redis.
- Familiarity with distributed systems design and implementation.
- Strong communication skills with the ability to work in a collaborative engineering environment.
- Experience supporting machine learning or ETL pipelines.
- Familiarity with containerized/cloud-native environments (Docker, Kubernetes).
- Experience with automated testing frameworks for backend or ML pipelines.
- Exposure to aerospace, defense, or mission-critical environments.
- Demonstrated ability to mentor and collaborate with cross-functional teams.
CesiumAstro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CesiumAstro and has not been reviewed or approved by CesiumAstro.
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Healthcare Strength — Health coverage includes medical, dental, vision, life and disability insurance, plus FSAs and mental health benefits. Feedback suggests the health package is comprehensive for a growth-stage aerospace firm.
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Retirement Support — Offerings include a 401(k) with company matching and other retirement-plan elements. Feedback suggests core retirement mechanisms are in place alongside standard financial benefits.
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Leave & Time Off Breadth — Generous PTO, paid holidays, paid sick days, and bereavement leave are included. Feedback suggests time-off options are broad on paper across multiple leave types.
CesiumAstro Insights
What We Do
We build high-throughput, plug-and-play phased array communication payloads for space and airborne platforms. CesiumAstro’s full-stack, multi-mission hardware and software products enable a diverse range of commercial and defense objectives. Full-system engineering design is at the heart of every CesiumAstro product. We deliver high-performance solutions under rapid development timelines.
Why Work With Us
At CesiumAstro, we’re a team. We’re passionate, respectful, and determined colleagues ready to help at a moment’s notice. We’re mentors excited to enable our peers with the knowledge they need to succeed. Together, we’re visionaries committing to building memories that will last a lifetime.
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