Senior Software Engineer, Public Sector

Scale AI
San Francisco, St. Louis, New York, Washington
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Collaboration","Communication","Problem-solving","Adaptability","Teamwork"]

Senior Software Engineer for Scale AI's Federal Engineering team building scalable, cloud-native backend systems and ML infrastructure for government customers. You’ll collaborate cross-functionally to design data-intensive, distributed services, contribute to platform roadmaps, and engage with stakeholders to deliver secure, high-performance solutions in a government context, with potential TS/SCI security clearance.

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FursaFursa
Scale AI
Scale AI
3 years ago

Senior Software Engineer, Public Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Senior Software Engineer for Scale AI's Federal Engineering team building scalable, cloud-native backend systems and ML infrastructure for government customers. You’ll collaborate cross-functionally to design data-intensive, distributed services, contribute to platform roadmaps, and engage with stakeholders to deliver secure, high-performance solutions in a government context, with potential TS/SCI security clearance.
Location: San Francisco, St. Louis, New York, Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and implement scalable backend systems for Federal customers, leveraging Scale's cloud-native AI infrastructure.
  • •Collaborate with cross-functional teams to define and execute the vision for backend solutions for government agencies in secure environments.
  • •Develop distributed systems, data-intensive applications, and ML infrastructure to enable impact for mission owners.
  • •Build robust backend systems that can serve as standalone products to accelerate customers' AI ambitions.
  • •Participate in customer engagements, gathering requirements and delivering innovative solutions.

Pay and Benefits

Perks:Health InsuranceRetirement BenefitsLearning StipendPaid LeaveCommuter Benefits

Key Requirements

  • •Full Stack Development: proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases
  • •Cloud-Native Technologies: familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker) and orchestration (Kubernetes)
  • •Data Engineering: knowledge of ETL processes and building data pipelines, data modeling, data warehousing, and data governance
  • •Machine Learning Infrastructure: familiarity with ML frameworks (TensorFlow, PyTorch) and design/deployment of ML infrastructure (model serving, monitoring)
  • •Problem Solving: strong analytical and problem-solving skills with ability to identify root causes and propose solutions
Experience:GovernmentPublic sectorCloudAI
Skills:CollaborationCommunicationProblem-solvingAdaptabilityTeamwork
Languages:English
Tech Stack:AWSAzureGCPDockerKubernetesTensorFlowPyTorchETLData pipelinesData modelingData warehousing

Eligibility

Security Clearance:TS/SCI

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn