AI Automation Engineering with Cyber Security

Intellibee, Inc.
United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Software Applications Cyber Security Databases Data Architecture Relational Databases Github Design of User Interfaces Identity and Access Management Systems Analysis
+15 more
Python (Programming Language) Software Engineering SQL Databases Systems Integration Test Case Test Execution Engine Data Storage Technologies Snowflake Backend Performance Monitor Machine Learning Operations Restful APIs Database Tools and Utilities Databricks Programming Languages

Job description

Senior, hands-on engineering role focused on designing, building, and deploying AI-driven automation solutions for a large Cyber Security Operations Center (CSOC). Responsibilities include developing AI agents, automation frameworks, integrations, backend services, and enterprise-scale software to improve incident response, reduce false positives, and automate security workflows. The job emphasizes end-to-end ownership from requirements and architecture through production support., * Responsible for developing and executing formal test plans to ensure the delivery of quality software applications.

  • Involved in test planning, writing test cases/scripts, test case automation and test execution.
  • Defines and tracks quality assurance metrics such as defects, defect counts, test results and test status.
  • Collects and analyzes data for software process evaluation and improvements, and integrates them into business processes to address the needs of the business.
  • Documents all problems and assists in their resolution.
  • Delivers quality process training to technical staff and acts as an internal quality consultant to advise or influence business or technical partners.
  • Performs quality audits across the various IT functions to ensure quality standards, procedures and methodologies are being followed.
  • Codes, tests, and documents new or modified Machine Learning systems to create robust and scalable applications for a broad set of clinical use cases.
  • Write clean, well-documented, high-quality code that meets accepted standards, ensures optimal performance, and achieves business requirements
  • Stay current with complementary programming languages, development methodologies, user interface design techniques, and database tools
  • Designs and builds relational databases for data storage or processing.
  • Develops strategies for warehouse implementation, data acquisition, and archive recovery.
  • Cleans and maintains the database by removing and deleting old data. May evaluate new data sources for adherence to the organization’s quality standards and ease of integration.
  • Works closely with customers, business analysts, and team members to understand business requirements that drive the analysis and design of quality technical solutions. These solutions must be aligned with business and IT strategies and comply with the organization’s architectural standards.
  • Involved in the full systems life cycle and is responsible for designing, coding, testing, implementing, maintaining and supporting application software that is delivered on time and within budget.
  • Makes recommendations towards the development of new code or reuse of existing code. Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations. Has experience in systems analysis, design and a solid understanding of development, quality assurance and integration methodologies.

Requirements

  • 8+ years’ experience in software/automation/cybersecurity engineering; strong Python development skills; SQL and REST API proficiency; experience with GitHub-based workflows; cloud (AWS) familiarity-particularly IAM and S3; systems/architecture mindset; ability to translate business requirements into scalable technical solutions.
  • Preferred: Experience building AI-powered applications/agents/copilots, production generative AI (AWS Bedrock, Claude, OpenCode), Databricks/Snowflake, and prior security operations or cybersecurity experience.

Benefits & conditions

  • Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
  • Future Planning: Enroll in our 401(k) program and invest in your financial security.
  • GC Assistance: We support immediate Green Card processing, if required.

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