Staff Software Engineer (Distributed Systems and Orchestration)

Remote in Houston, TX, US • Posted 30+ days ago • Updated 12 hours ago

Full Time

On-site

USD $180,000.00 - 245,000.00 per year

Fitment

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Job Details

Skills

ITAR
Satellite
Distributed Computing
Accounting
Computer Hardware
IT Management
Mentorship
Collaboration
Science
Computer Science
Computer Engineering
Software Development
Rust
C++
Java
Scheduling
Orchestration
Resource Management
Kubernetes
NOMAD
MVP
Git
GitLab
Continuous Integration
Continuous Delivery
Product Requirements
Management

Summary

Fresh has partnered with a space company.

Title: Staff Software Engineer (Principal Level)
Duration: Full-Time
Location: Houston, TX (Can be remote however you must be onsite in Houston every other week)
Candidate must be a U.S person due to ITAR regulations

Fresh Consulting has partnered with a Space company, we are seeking a Staff Software Engineer, Distributed Systems and Orchestration to serve as the lead engineer on the core scheduling and orchestration subsystems of our Orbital Compute platform. In this role, the successful candidate will own the product and engineering of an MVP for autonomous scheduling across a fleet of compute nodes, combining lessons learned from early proofs of concept, and will scale that MVP from a handful of satellites to larger fleets with data sovereignty as a core product feature. Operating in a fast-paced environment characterized by rapid iteration and significant ambiguity, the successful candidate will build a distributed computing engine with performance, reliability, and security as fundamental building blocks, partnering closely with software, hardware, security, and systems engineers to deliver secure, reliable products.Key Duties and Responsibilities

Serve as lead engineer for the core scheduling and orchestration subsystems of Compute platform
Own the product and engineering of an MVP for autonomous scheduling across a fleet of compute nodes, incorporating lessons learned from early proofs of concept (POCs)
Scale the MVP from a handful of satellites to larger fleets, incorporating data sovereignty as a core product feature
Design and build a distributed computing engine with performance, reliability, and security as fundamental building blocks
Build scheduling, orchestration, and workload-placement logic for edge computing environments, accounting for intermittent or disconnected connectivity, limited resources, and autonomous operation
Partner with software, hardware, security, and systems engineers to deliver customer-focused solutions, balancing best practices with time-to-market
Provide technical leadership and mentorship, and give and receive productive feedback during collaboration and in design and code reviews
Deliver iteratively and quickly in a fast-paced environment with significant ambiguity
Perform additional job duties as assigned

Qualifications
Education & Experience

Bachelor of Science in Computer Science, Computer Engineering, or another related technical discipline, or equivalent professional experience
15 years of professional software development experience, with strong proficiency in a systems language such as Go, Rust, C++, or Java
Deep experience designing, building, and operating distributed systems at scale
Experience with scheduling, orchestration, or resource-management systems (e.g., Kubernetes, Nomad, or custom orchestrators)
Demonstrated experience taking products from MVP or proof of concept to production scale
Experience engineering for performance, reliability, and fault tolerance in distributed environments
Experience with git distro (such as GitLab) and CI/CD tools
Prefer experience treating security and/or data sovereignty as core product requirements
Prefer experience with autonomous, self-managing, or self-healing systems
Track record of making things happen in ambiguous, fast-moving environments
Uses good judgement to problem-solve proactively, positively impacting hard challenges
Demonstrated organization skills to meet tight deadlines with high quality results

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $180K - $245K, benefits and equity.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10482669
Position Id: bc9d5091b1dfa5ada7a4352f64fe74e0
Posted 30+ days ago

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