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Senior AI/Full Stack Engineer | McLean, VA

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Onsite

Senior AI/Full Stack Engineer | McLean, VA

AKTRA INC

Senior AI/Full Stack Engineer | McLean, VA

Skills

SQL QueriesDockerPythonJavaMicroservicesKafkaCybersecurityData AnalysisMachine LearningAIAWSKubernetes

23 days ago

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Important information


Contract type:

Temporary

Location:

McLean, VA, USA

Work mode:

Onsite

Published on:

4 October 2026

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Senior AI/Full Stack Engineer | McLean, VA

McLean, VA

September 23, 2026

This role is only open to candidates with US citizenship or a green card. We are seeking an experienced software engineer to build modern data migration, streaming, and reconciliation solutions using AI/ML and event-driven architectures. The ideal candidate has strong expertise in Java or Python, Kafka, backend services, distributed systems, and cloud technologies.

Responsibilities

  • Design and implement modern data-transfer and migration solutions that efficiently and seamlessly load data into contemporary OLTP systems.
  • Leverage AI/ML technologies to accelerate data migration, automate data reconciliation, identify inconsistencies, and enable smooth transitions for users and applications.
  • Design and develop scalable backend services, APIs, and event-driven solutions to support high-volume data movement and processing.
  • Build and maintain reliable data-streaming and integration solutions using technologies such as Apache Kafka.
  • Collaborate closely with architecture, security, networking, platform, and application teams to develop effective solutions and ensure successful delivery.
  • Contribute to system architecture, technical design, code reviews, and engineering best practices.
  • Develop solutions that support real-time analytics, distributed processing, observability, and resilient event-driven architectures.
  • Apply modern DevOps practices, including CI/CD, containerization, monitoring, and automated deployment, to improve development and operational efficiency.

Qualifications

  • 8–10 years of hands-on experience in software or application development.
  • 8+ years of hands-on development experience with Java, Python, or comparable modern programming languages and frameworks.
  • 3+ years of experience developing backend services, including the design and implementation of RESTful APIs.
  • Demonstrated experience integrating AI/ML solutions into data pipelines, complex data migrations, reconciliation processes, or related workflows.
  • Strong hands-on experience with Apache Kafka, including installation, configuration, administration, and application development.
  • Strong understanding of data streaming, event-driven architecture, distributed systems, and real-time data processing.
  • Hands-on experience with APIs, microservices, event streaming, databases (SQL and NoSQL), logging and monitoring, containers, serverless technologies, and DevOps practices.
  • Experience with CI/CD platforms and modern software delivery practices.
  • Experience with AWS or other major cloud platforms is preferred.
  • Experience with Docker and Kubernetes is a plus.
  • Background in real-time analytics and event-driven architectures is preferred.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience; advanced degree or graduate-level studies preferred.

Keys to Success in This Role

  • Highly motivated, self-directed, and comfortable taking ownership of complex technical challenges.
  • Strong hands-on engineering skills and a passion for modern technologies and emerging solutions.
  • Strong analytical and problem-solving abilities, particularly in data-intensive and distributed environments.
  • Excellent written and verbal communication skills.
  • Strong collaboration and partnership skills, with the ability to work effectively across diverse technical teams and stakeholders.
  • Demonstrated technical leadership and the ability to influence architecture and engineering decisions.
  • Ability to balance strategic thinking with hands-on execution in a fast-paced environment.

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