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1 month ago
Job Summary
This role will be responsible for driving the design and implementation of Defense products across our Digital Battlespace portfolio including establishing technical vision, defining architecture and design, executing and guiding technical delivery activities, and collaborating with product stakeholders to deliver high-impact pilots and maturing them into mature products. You'll work with warfighters across command and control (C2), Intelligence, Surveillance and Reconnaissance (ISR), and Special Missions to deliver GenAI-based products that support DoD mission goals.
- Minimum Qualification: Degree
- Experience Level: Entry level
- Experience Length: 5 years
Job Description/Requirements
Basic Qualifications:
- Establish delivery processes: Define robust software development practices that lead to the successful delivery of resilient customer facing solutions.
- Enforce quality standards: Establish high standards for software implementation and ensure compliance through robust processes, feedback, and mentorship.
- Evaluate performance: Leverage metrics, KPIs, and OKRs to evaluate the performance, effectiveness, and impact of delivery processes, iterating and optimizing based on feedback and results.
- Mentor engineers: Provide career development and coaching to technical staff by establishing trusted relationships, engaging directly with junior staff, contributing to a culture of learning, documenting lessons learned, and championing the adoption of best practices.
You Have:
- 5+ years of experience building scalable, production Machine Learning systems spanning requirements analysis, design, planning, implementation, testing, and deployment
- 5 + years of experience writing production software in Java, Scala, or Python and deploying production workloads using cloud managed services including AWS, GCP, or Azure
- 2+ years of experience with DevOps, containerization, and orchestration tools including CI/CD pipelines, Docker, and Kubernetes
- 2+ years of experience writing data processing pipelines using SQL, Spark, Kafka, or Flink
- Knowledge of software development best practices and design patterns
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