Senior AI/Full Stack Engineer | McLean, VA

Aktra Inc.; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Aktra Inc. in McLean, VA seeks an experienced Senior AI/Full Stack Engineer to design and implement data migration, streaming, and reconciliation solutions using AI/ML and event-driven architectures.

The role emphasizes strong Java or Python, Kafka, and cloud technologies, building scalable backend services, APIs, and real-time data processing. Collaboration across teams and DevOps practices are expected.

Qualifications

• 8–10 years of hands‑on software development experience.
• 8+ years with Java, Python, or similar languages and frameworks.
• 3+ years building backend services and RESTful APIs.
• Experience integrating AI/ML into data pipelines and migrations.
• Strong Kafka experience: install, configure, and develop applications.
• Knowledge of data streaming, event-driven architecture, and distributed systems.
• Experience with APIs, microservices, containers, serverless, and DevOps practices.
• Familiarity with AWS or other cloud platforms.
• Bachelor’s degree in CS/Engineering or related field; advanced degree preferred.

Responsibilities

• Design and implement data-transfer and migration solutions for OLTP systems.
• Leverage AI/ML to automate data reconciliation and identify inconsistencies.
• Develop scalable backend services, APIs, and event-driven components.
• Build reliable data-streaming and integration using Apache Kafka.
• Collaborate with architecture, security, networking, platform, and application teams.

Skills

Java

Python

Kafka

Backend APIs

Distributed systems

Cloud platforms

CI/CD

Docker

Kubernetes

AWS

SQL/NoSQL

Education

Bachelors in CS/Engineering

Tools

Docker

Kubernetes

AWS

Job description

Senior AI/Full Stack Engineer | McLean, VA

McLean, VA

September 23, 2026

This role is only open to candidates with UScitizenship 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.