Job Description

Title: Network Detection Engineer ( NDR )

Duration: Full Time

Location: Minneapolis MN / Remote

Network Detection Specialist Engineer:

We are seeking a skilled engineer to support our Network Detection & Response (NDR) operations and build a modern health monitoring system for our Corelight security platform. This role is ideal for someone who blends security operations experience with strong automation and monitoring skills.

Key Responsibilities:

Support day to day operations of the NDR platform, including sensor health, data flow monitoring, and alert handling.

Build and maintain a platform health monitoring solution using Grafana, Prometheus, InfluxDB, and API integrations.

Develop automation scripts in Python to collect system and application health metrics.

Create dashboards and alerts that provide real time visibility into system performance and uptime.

Work with Security Operations, Incident Response, and Network teams to ensure timely detection and resolution of issues.

Required Qualifications:

Experience with network security tools, ideally Corelight, Endace, Zeek, or Suricata.

Strong Python skills, especially for automation and working with APIs.

Hands on experience with monitoring and visualization tools such as Grafana, Prometheus, and/or InfluxDB.

Solid understanding of general network concepts (e.g., TCP/IP, traffic flow, packet capture).

Background in SOC, NDR monitoring, or security operations is highly desirable.

Experience building dashboards, alerts, or custom data collectors.

Familiarity with containerized environments (Docker, Kubernetes).

Knowledge of API authentication and data integration best practices.

Required AI Skills:

• All resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:

-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.

-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.

-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery

͏

Do

1. Develop architectural application for the new deals/ major change requests in existing deals

a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable.

b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility

c. Guides how to construct and assemble application components and services to support solution architecture and application development

d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio

e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market

͏

f. Provide solution of RFP’s received from clients and ensure overall design assurance

- Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives

- Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture

- Depending on the client’s need with particular standards and technology stacks create complete RFPs

- Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology

-  Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions

- Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps

- Evaluate and recommend solutions to integrate with overall technology ecosystem

- Tracks industry and application trends and relates these to planning current and future IT needs

g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations

h. Account mining to find opportunities in the existing clients

i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture.

j. Identifies implementation risks and potential impacts.

k. Create new revenue streams within applications as APIs that can be leveraged by clients

l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part

͏

1. Understanding application requirements and design a standardize application

a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches

b. Designing patterns, best practices and reusable applications that can be used for future references

c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate

d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance

e. Coordinating input on risks, costs and opportunities for concepts

f. Developing customised applications for the customers aligned with their needs

g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures

h. Understanding design and production procedures and standards to create prototypes and finished products

i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software

j. Offer viable solutions for various systems and architectures to different types of businesses

k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development

l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc

͏

m. Cloud Transformation: (Migration)

- Understanding non-functional requirements

- Producing artefacts such as deployment architecture, interface catalogue

- Identify internal and external dependency, vendor and internal IT management

- Support build and testing team

n. Cloud Transformation: (Modernization)

- Understanding and Defining target architecture in Integration space

- Assessing project pipeline / demand and align to target architecture

- Technical support of delivery team in terms and POC and technical guidance

o. Keep Up-to-date with the latest technologies in the market