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Job Description

Bitwise seeks a Cognitive AI Engineer (SE3) in Columbia, MD (onsite) to build mission-critical infrastructure cognizance capabilities. The role focuses on transforming complex infrastructure and operational data into actionable insights using AI, with end-to-end delivery from concept through production.

Responsibilities

  • Deliver mission-critical infrastructure cognizance capabilities that provide visibility into what infrastructure was requested, what was actually deployed, and any discrepancies between the two.
  • Support subject matter experts as they investigate, create, and iterate on best practices and deployment rules, including surfacing cases where requested or provisioned infrastructure breaks those rules and alerting stakeholders to potential issues.
  • Drive end-to-end feature delivery from concept to production by transforming complex data into actionable insights and using AI to accelerate analysis and solution design.
  • Design and develop full-stack applications across frontend and backend components.
  • Apply AI/ML tools to accelerate data analysis and prototype new solutions quickly.
  • Develop ETL workflows to reconcile requested versus realized infrastructure.
  • Ensure scalable and reliable data ingestion and processing.
  • Collaborate with full-stack engineers to integrate systems and visualize results.
  • Interact with many stakeholders across the organization while iterating frequently and delivering measurable impact.

Requirements

  • 12+ years of relevant experience with a B.S. in a technical discipline, or 16+ years of relevant experience without a degree.
  • 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.

Technologies

  • Python
  • AI/ML
  • Kafka
  • Relational databases
  • Git
  • GitLab
  • Atlassian tools
  • Jira
  • Confluence
  • ClickHouse
  • ETL
  • SIGINT

Preferred Skills

  • Hands-on experience with production CNO capabilities and operations.
  • Experience analyzing cyber security 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.
  • Exposure to adjacent domains such as dataflow, data science, or mission analytics.

Compensation and Location

  • Location: Columbia, MD (onsite)
  • Salary range: USD 267,000 - 314,000 per yearly
  • Salary range detail: $266,500 – $313,500, including flex income, depending on annual work hours

Salary is determined on an individual basis following the interview process and considering factors such as years of experience, skills, education, and certifications.

Benefits

  • Top salaries tied to performance.
  • PTO flexibility: choose between 3 and 5 weeks of PTO with a corresponding adjustment to pay.
  • All 11 federal holidays, paid.
  • Up to 2 snow days, paid.
  • 401(k) match: 4x the first 6% contributed, for up to a 24% company match.
  • If contributing less than 6%, unclaimed matches return as extra income, providing a guaranteed 24% that goes to retirement, paycheck, or both.
  • 100% employer-paid medical, dental, vision, life, and disability insurances.
  • If already covered on health insurance, the benefit may be traded for a salary boost.
  • $5,250 annual education assistance for training, certifications, tuition, and student loan repayments.
  • Spot bonuses for obtained certifications, customer recognition, and other notable achievements.

What to Expect After Applying

  • Receive an email acknowledgment immediately after applying.
  • Review additional company materials.
  • Schedule a video call to discuss you, the company, and your role.
  • Receive a tailored offer package with a recorded video walkthrough.
  • Work closely with you through onboarding, focused on making the process easy and positive.

Disclaimers

  • Bitwise is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.
  • All employment decisions are based on qualifications, merit, and business needs.
  • Compensation options are determined on an individual basis following the interview process.
  • If you require accommodations at any stage of the application or interview process, contact Bitwise.

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