As a Senior Full Stack Developer with Maverc, I play a critical role in architecting and delivering high-quality, scalable software solutions that drive the organization’s digital transformation. With deep expertise in both front-end and back-end development, I ensure seamless integration, optimize application performance, and uphold system security. Collaborating closely with cross-functional teams, including product owners, UI/UX designers, and data engineers, I help bring innovative features to life while meeting the company’s strategic objectives.

• Design and develop software requirements for AI-based support capabilities, including software architectures, APIs, frameworks, and libraries.
• Develop front-end and back-end software prototypes, components, and tooling to accelerate the prototyping process.
• Maintain and guide the development of common libraries and tools used by multiple teams.
• Manage the existing code base of in-production applications, perform bug fixes, updates to meet security and performance needs, and implement planned capability enhancements in the sprint schedule.
• Collaborate closely with clients and requirements owners to build product lines.
• Develop plans, roadmaps, and software design strategies. Analyze and decompose activities/requirements into software designs allocated across system components.
• Contribute to formulating strategies for rapid prototyping of AI capabilities, including Generative AI.
• Work with data scientists, UX designers, cognitive scientists, developers, and testers to create cohesive software designs for scalable AI solutions.
• Document requirements, specifications, and review documentation from other teams and vendors.
• Optimize software designs and architectures to meet performance targets, and develop tooling/methodologies for profiling execution and capturing performance metrics.
• Stay up-to-date on the latest AI system architectures, design patterns, DevSecOps practices, and trends in systems architecture.
• Capture, develop, and report reference architectures and document compliance standards.

REQUIREMENTS

• Proficiency in programming languages including Python, JavaScript, and at least one additional programming language (preferably Java).
• Experience with front-end frameworks (e.g., React, Vue) and back-end runtimes/frameworks (e.g., Node.js, Spring, Spring Boot, Django, Flask).
• Experience with Agile software development methodologies and tools, along with providing leadership to other developers in an Agile environment.
• Expertise in DevSecOps, including the use of Continuous Integration / Continuous Delivery (CI/CD) tools (e.g., Git runners, code scanning tools).
• Experience with containerization and using Kubernetes.
• Familiarity with Object Relational Modeling persistence frameworks (e.g., SQLAlchemy) and PostgreSQL.
• Familiarity with ElasticSearch/OpenSearch and Neo4J as persistent stores.
• In-depth understanding of modern software architectures like microservices and front-end frameworks.
• Strong communication skills: ability to engage proactively with fellow CDAO members inside and outside the team.
• Ability to synthesize feature requests, recommend alternative technical/business approaches, and facilitate engineering efforts to meet aggressive timelines.
• DoDD 8140 IAT Level III certification is preferred.
• Active Top Secret (TS) Security Clearance with Sensitive Compartmented Information (SCI) eligibility is required.

• Design and develop software requirements for AI-based support capabilities, including software architectures, APIs, frameworks, and libraries.
• Develop front-end and back-end software prototypes, components, and tooling to accelerate the prototyping process.
• Maintain and guide the development of common libraries and tools used by multiple teams.
• Manage the existing code base of in-production applications, perform bug fixes, updates to meet security and performance needs, and implement planned capability enhancements in the sprint schedule.
• Collaborate closely with clients and requirements owners to build product lines.
• Develop plans, roadmaps, and software design strategies. Analyze and decompose activities/requirements into software designs allocated across system components.
• Contribute to formulating strategies for rapid prototyping of AI capabilities, including Generative AI.
• Work with data scientists, UX designers, cognitive scientists, developers, and testers to create cohesive software designs for scalable AI solutions.
• Document requirements, specifications, and review documentation from other teams and vendors.
• Optimize software designs and architectures to meet performance targets, and develop tooling/methodologies for profiling execution and capturing performance metrics.
• Stay up-to-date on the latest AI system architectures, design patterns, DevSecOps practices, and trends in systems architecture.
• Capture, develop, and report reference architectures and document compliance standards