Senior Software Engineer
Leads development of scalable backend systems, distributed architectures, and agentic capabilities for federal customers, managing full feature lifecycles from requirements to deployment on classified networks. Requires full-stack proficiency, cloud-native tech, data engineering, and AI integration expertise.
About the job
Responsibilities
- Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
- Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
- Direct the orchestration of asynchronous agent fleets to meet mission requirements.
- Lead customer engagements to translate mission needs into technical requirements.
- Own communication with stakeholders to ensure implementation meets defined acceptance criteria.
- Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
- Drive the platform roadmap by providing technical specifications for Federal product offerings.
Requirements
- Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases.
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes).
- Data Engineering: Knowledge of ETL processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration.
- Strong analytical and problem-solving skills.
- Excellent interpersonal and communication skills.
- Adaptability and learning agility.
Skills
AWS, Azure, GCP, Docker, Kubernetes, ETL, Data Pipelines, LLMs, RAG, Prompt Engineering, Backend Development, Frontend Frameworks, Databases
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