Incident response - with training & mentoring

Incident response - with training & mentoring

Our client is a boutique IT cyber security consultancy that is looking for an entry level/junior incident response specialist to be a part of their team that investigates incidents, traces and malware.

You will be handling security incidents of varying criticality levels, from initial analysis to final resolution.

Furthermore, you will also conduct details forensic investigations, and malware analysis while also working together with the pentesting team to analyse the attack paths.

You will be performing and participating in a variety of tasks related to IT security incidents and in supporting the establishment and further development of SOCs, CERTs and CSIRTs.

Your profile:

• You need to have a Bachelors or a masters in a technical field, ideally with a focus on Cyber security.
• You have also worked as an intern, work student, or in a part-time position ideally related to DFIR, or with any other technical focus.
• You have solid understanding and knowledge about IT systems and architecture.
• You are aware of common attacker techniques.
• You have excellent communication skills in both German and English.

Your benefits:

• You will work for a well-established boutique consultancy that works with a variety of well-known customers.
• Colleagues that will be supportive and reliable during when putting out the fires.
• Dedicated training and mentoring in both technical and general support.
• Flexible working options along with 100% home office.
• Project free Fridays for you to better focus on interesting and challenging topics.

Salary: € 50,000 to € 60,000 Brutto per year

Location: Baden-Württemberg, DE/Hybrid/Remote

If you are interested, please feel free to apply directly below.

In case you have any questions or need more details; please contact Gayan Namalgama, via Phone + 49 892 109 3363 Ext:- 3249 or Email:- [email protected]

Desired Skills and Experience

Benefits: MinSalary: MaxSalary: SalaryCurrency: EUR Remote Model: Hybrid