Engineer 3 - (Python, AI/ML, Kafka)

Akina • Columbia, MD

14h • Onsite

About The Position

The Engineer 3 will join a team delivering mission-critical infrastructure cognizance. The team aggregates data sources to clarify what infrastructure was requested and deployed, and proactively alerts on discrepancies. Its application supports subject matter experts in investigating and refining best practices and deployment rules, and identifies cases where requested or provisioned infrastructure violates those standards. The role involves engagement with stakeholders across the organization and frequent iteration.

The engineer will drive end-to-end feature delivery from concept to production, transforming complex data into actionable insights and using AI to accelerate analysis and solution design. Responsibilities include designing, developing, and maintaining full-stack applications; developing ETL workflows to reconcile requested and realized infrastructure; and ensuring scalable, reliable data ingestion and processing. The engineer will collaborate with full-stack engineers on integrating and visualizing results.

The position is in Columbia, Maryland, and requires a TS/SCI clearance with polygraph. Akina describes itself as a small, Woman Owned, Service Disabled, Veteran Owned business.

Requirements

• Strong proficiency in Python.
• Demonstrated use of AI/ML tools to accelerate data analysis and engineering solution development.
• Experience with Kafka and streaming analytics.
• Working knowledge of relational databases.
• Twelve years of experience as a Systems Engineer in programs and contracts of similar scope, type, and complexity.
• Demonstrated experience planning and leading Systems Engineering efforts.
• Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline from an accredited college or university; four additional years of Systems Engineering experience may substitute for the degree.
• Active TS/SCI clearance with polygraph required.

Nice To Haves

• Exposure to adjacent domains such as dataflow, data science, or mission analytics.
• Hands-on experience with production CNO capabilities and operations.
• Experience analyzing cybersecurity data sets such as network traffic and OS events.
• Understanding of end-to-end SIGINT collection and analysis systems.
• Familiarity with ClickHouse.
• Proficiency with Git and GitLab.
• Working knowledge of Atlassian tools such as Jira and Confluence.

Responsibilities

• Drive end-to-end feature delivery from concept through production.
• Design, develop, and maintain frontend and backend applications.
• Apply AI tools and techniques to accelerate analysis and prototype solutions.
• Develop ETL workflows to reconcile requested and realized infrastructure.
• Ensure scalable and reliable data ingestion and processing.
• Collaborate with full-stack engineers to integrate and visualize results.
• Aggregate data sources and help identify discrepancies between requested and deployed infrastructure.
• Support the detection of cases where requested or provisioned infrastructure violates best practices and deployment rules.

Benefits

• 24 days of PTO accrued annually and 11 federal holidays.
• 401(k) that is 100% vested on the start date, with a direct company contribution worth 10% of salary.
• Company covers 100% of employee healthcare costs and 50% of dependent healthcare costs.
• Educational assistance toward college classes.
• Coverage of costs associated with job-related training and certifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior