Engineer - Cybersecurity AI Activation & Engineering

Dahl Consulting
Brooklyn Park, MN, United States
4 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$210,080.0 - $232,960.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Applications Architecture Automation of Tests Bash Shell Software Quality Code Review Cyber Security Distributed Systems Github
+26 more
Python (Programming Language) PostgreSQL Machine Learning Enterprise Messaging Systems MongoDB NoSQL Service Development Studio Software Deployment Software Engineering Systems Integration Scripting Spring-boot Software Application Programming Backend Agentic-AI Kotlin Event Driven Architecture Containerization Material UI Information Technology Apache Kafka Front End Software Development Restful APIs Software Version Control Docker Microservices

Job description

Our client, a large enterprise organization operating in the retail and consumer services industry, is seeking a Senior Engineer to join its Cybersecurity AI Activation & Engineering team. This role supports the development and delivery of technology solutions that enhance cybersecurity capabilities through automation, AI-enabled services, and scalable engineering practices. This is a hands-on software engineering role focused on designing, building, deploying, and supporting production-grade applications and services. The successful candidate will contribute to a variety of enterprise initiatives while collaborating with cross-functional engineering teams in a fast-paced environment., As a Senior Engineer, you will be responsible for developing and maintaining secure, scalable software solutions that support cybersecurity and AI-driven initiatives. You will work within established engineering standards and architecture guidelines to deliver high-quality, production-ready applications and services., * Design, develop, test, deploy, and support scalable production services, APIs, pipelines, and backend systems.

  • Build and maintain microservices and RESTful APIs aligned with enterprise architecture standards.
  • Develop applications and services using Java or Kotlin, preferably within a Spring Boot environment.
  • Leverage Python to create automation tools, engineering utilities, backend services, and AI-related solutions.
  • Deliver moderately complex features and technical workstreams from requirements through implementation.
  • Troubleshoot and resolve application and service issues across development, testing, and production environments.
  • Work with containerized applications utilizing Docker and Kubernetes.
  • Contribute to CI/CD pipelines, automated testing strategies, and software quality initiatives.
  • Participate in code reviews, pull requests, branch management, and collaborative development using GitHub.
  • Identify technical risks, dependencies, and blockers and proactively drive resolution.
  • Provide technical guidance and support to engineering team members as needed.
  • Support the adoption of AI-enabled and cybersecurity-focused engineering solutions across enterprise platforms.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
  • 7+ years of hands-on software engineering experience with full-stack or backend application development.
  • Strong experience developing applications using Java or Kotlin, preferably with Spring Boot.
  • Demonstrated experience designing, building, and supporting microservices and REST APIs in production environments.
  • Proficiency in Python for automation, tooling, backend service development, and agent-based solutions.
  • Experience working with Docker and Kubernetes for application deployment and management.
  • Experience with CI/CD pipelines, automated software delivery practices, and Agile development methodologies.
  • Hands-on experience using GitHub for source control, pull requests, code reviews, and branch management.
  • Strong scripting skills using Python, Bash, or similar technologies.
  • Experience troubleshooting complex application and service issues and delivering production-quality solutions.
  • Ability to independently manage and deliver moderately complex technical initiatives.

Preferred Qualifications

  • Experience or interest in cybersecurity technologies, platforms, or engineering practices.
  • Experience developing, integrating, or supporting AI-enabled applications, AI agents, or machine learning services.
  • Experience working with event-driven architectures and messaging platforms such as Kafka, Pub/Sub, or similar technologies.
  • Hands-on experience with PostgreSQL, MongoDB, or other relational and NoSQL databases.
  • Experience with GitHub Actions or other CI/CD automation tools.
  • Experience working within large-scale enterprise engineering environments.
  • Experience with modern frontend development practices, including component libraries, design systems, Storybook, accessibility standards, and state management.
  • Familiarity with modern backend integration patterns and distributed systems architectures.

Benefits & conditions

Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: .

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