Security Engineer (Security Tool Integration & Support)

Overview

On Site
USD 120,000.00 - 140,000.00 per year
Full Time

Skills

Computer Hardware
API
Authentication
Collaboration
Slack
Knowledge Base
Technical Writing
Problem Solving
Penetration Testing
Testing
Docker
Management
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Python
JavaScript
UI
GitHub
Database
PostgreSQL
Databricks
Splunk
Analytics
Amazon S3
Open Source
Load Balancing
GPU
Artificial Intelligence
Machine Learning (ML)
Startups
Workflow Optimization
Technical Support
Customer Facing
Cyber Security
Workflow
Health Care
Value Engineering
Business Transformation
Law

Job Details

Top Skills' Details:
* Experience as technical support resource for an Enterprise Product sold in the marketplace, ideally a security product.
Some experience with red security technologies - ethical offensive side of hacking. Pen testing, vulnerability testing, that sort of technology support
* know what a container is, how to run basic Docker commands, to look at what the container is doing, if there is a lot of log output erroring out.
* must be able to load something into Splunk and interpret the logs.
* Proficiency (not expert) in Python
* familiarity with cloud services (AWS, Azure, Google Cloud Platform).
* Familiarity with databases, datalakes and log tools (Postgres, Databricks, Splunk)
Job Description:
What You Will Do
Primary technical support contact for customers.
Diagnose and resolve issues with data platforms, security tools, and cloud systems.
1. Product installation: deployed on prem on physical hardware or in customer's cloud. Something might not be downloading correctly, etc.
2. product integration: highly integrated product with ticketing, log, security systems to operate. If the product isn't analyzing anything for an alert for example, troubleshoot that. Might be API issues, the extension might be broken, authentication issues, etc.
* In the future, since it's an AI learning system, there might be more issues to solve with classification of alerts, etc.
Collaborate with engineering to address escalations and improve product quality. Very flat org (12 people) so support engineer is probably using slack simultaneously while troubleshooting, or slacking with the customer also. Very high touch.
Create and maintain knowledge base articles and technical documentation.
Identify trends in issues and recommend solutions to enhance performance.
What You Bring
A passion for listening, diagnosing and solving problems for customers. Strong troubleshooting skills for integrations, security and data systems.
Experience as technical support resource for an Enterprise Product sold in the marketplace, ideally a security product.
Some experience with red security technologies - ethical offensive side of hacking. Pen testing, vulnerability testing, that sort of technology support.
Must know what a container is, how to run basic Docker commands, to look at what the container is doing, if there is a lot of log output erroring out.
Also, we use Splunk internally as log agg and management system, so tech must be able to load something into Splunk and interpret the logs.
Proficiency in Python and familiarity with cloud services (AWS, Azure, Google Cloud Platform). We use Python and Go, some JavaScript on UI. But we are heavy users of ChatGPT so if you need to get code snipit and drop in there and analyze, it's ok. You get GitHub Copilot license and ChatGBT pro license. You don't need to be an expert.
Familiarity with databases, datalakes and log tools (Postgres, Databricks, Splunk)-We use: Splunk, log analytics, S3 buckets, Athena, CrowdStrike, Auth Zero, probably about 24 different integrations with Cribble, MS Sentinel, etc. Backend retrieval autmented generation system, open source LLMs, etc.
What Separates You from Others
Familiarity with compound AI components (LLM's, Vector DBs). This tech support resource doesn't have to know much about any LLM. Nothing outside of normal interaction. Know there is a stack, a LLM load balancer is there and generally understand it. The requests are going through an interface to the LLM. They need to know the container has an LLM in it and the container is executing on the GPU and if user's performance is slow, that's where the support engineer stops and looks at consumption, etc. - LLMs are used for 1. Entity classification and 2. Summarization and 3. Code generation. But not used to answer a broad problem by the product.
Knowledge of AI and machine learning in cybersecurity.
Experience shaping technical support functions in a startup.
Skills in automation and workflow improvement.
Background in technical support or related customer-facing roles.
Understanding of cybersecurity tools and workflows.
Pay and Benefits
The pay range for this position is $120000.00 - $140000.00/yr.
They pay 100% health premiums. Vision, dental, healthcare. And it's the provider's top plan. We're really serious about employees wellbeing and we put our money where our mouth is even at the early stage. This is even before our pre-seed funding, we've had this in place. PTO 15 days plus major holidays.
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Jun 6, 2025.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About TEKsystems c/o Allegis Group