Mission Software Engineer, Public Sector
Customer-facing backend engineer deploying and integrating Scale's AI platform at government sites. Requires TS/SCI clearance eligibility, Python/JavaScript, cloud-native and data engineering skills, with >50% travel.
About the job
Responsibilities
- Work directly with customers to understand their problems and translate those into features in Scale’s platform
- Collaborate with cross-functional teams to define and execute the vision for backend solutions for government agencies in secure environments
- Implement end-to-end data integrations, syncing customer data to Scale’s platform and back
- Deploy and maintain Scale software at customer sites
- Develop customer-requested features and work closely with them to ensure customer satisfaction
- Build robust and reliable backend systems that can serve as standalone products
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions
- Be open to >50% travel or relocation to a key customer geographic location
Requirements
- Active TS/SCI security clearance or the ability to obtain one
- Track record of success as a hybrid customer-facing engineer or forward deployed software engineer
- Prior experience developing with Python and JavaScript or other modern software languages
- Familiarity with cloud platforms (AWS, Azure, GCP) and experience deploying applications in cloud-native environments
- Understanding of containerization (Docker) and container orchestration (Kubernetes)
- Linux experience including shell scripting and operating systems
- Networking experience including ports, protocols, and configuration
- Knowledge of ETL processes and experience building data pipelines to integrate diverse data sources
- Understanding of data modeling, data warehousing, and data governance principles
- Strong analytical and problem-solving skills
Nice-to-Haves
- Familiarity with Node and React
- Experience working in secure government environments
Skills
Python, JavaScript, Node.js, React, AWS, Azure, GCP, Docker, Kubernetes, Linux, Shell Scripting, ETL, Data Pipelines, Data Modeling
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