iOS Security Software Developer, Fraud

JR United Kingdom; Preston; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in gaming security is seeking an iOS Security Software Developer in Preston. This role involves safeguarding their platform by analyzing exploits and implementing robust security measures. Candidates should be proficient in iOS security and possess strong programming skills, along with a passion for defending against sophisticated threats.

Qualifications

• Experience in iOS security, mobile threat modelling, and developing anti-cheat measures.
• Proficient in low-level systems programming.
• Clear interest in advanced security features and countermeasures.

Responsibilities

• Identifying and reverse engineering exploits and vulnerabilities.
• Designing advanced anti-tamper and anti-cheat systems.
• Mentoring and knowledge sharing with junior developers.

Skills

iOS security

Mobile threat modelling

C++

Swift

Cryptography

Reverse engineering

Attention to detail

Job description

iOS Security Software Developer, Fraud, preston, lancashire

Client:

bet365

Location:

preston, lancashire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Views:

3

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

Who we are looking for

A Security Software Developer, who will safeguard the Business by uncovering exploits, architecting robust defences, and collaborating with teams to thwart sophisticated reverse engineers.

Within the fraud site defence team, you will be a key defender at the forefront of our security battle on our iOS platform.

Every day, you will face sophisticated hackers by uncovering and analysing exploits, vulnerabilities and cheat mechanisms.

You will design and implement cutting-edge anti-tamper and anti-cheat systems across our iOS native and companion apps, to ensure robust GPS data integrity, innovative client hardening and anti-automation techniques.

This role will challenge you to leverage your iOS platform knowledge, reverse engineering and mobile security expertise to keep the Business one step ahead in today’s dynamic threat landscape.

Preferred Skills, Qualifications and Experience

• Experience in iOS security, mobile threat modelling and developing anti-cheat measures.
• Proficient in low-level systems programming, operating system internals and reverse engineering, with additional knowledge of ARM assembly is advantageous.
• Skilled in C++ for native development, with working knowledge of Swift for secure, high-performance mobile applications.
• Clear interest in architecting and implementing advanced security features, anti-tamper and robust defence mechanisms.
• Experience in iOS development.
• Strong understanding of cryptography, encryption algorithms, hashing and secure key management practices.
• Passionate for uncovering vulnerabilities and staying ahead of potential attackers.
• Proven ability to work effectively with cross-functional teams to translate complex security challenges into actionable solutions.
• Exceptional attention to detail, paired with a forward-thinking approach to enhancing security measures.

Main Responsibilities

• Identifying, analysing, and reverse engineering exploits, vulnerabilities, and cheat mechanisms to devise effective countermeasures.
• Designing and implementing advanced anti-tamper and anti-cheat systems across the native app and companion apps.
• Implementing measures that guarantee GPS data in native apps remain unspoofed and untampered.
• Pioneering new methods from memory protection to code obfuscation, to pre-empt and mitigate potential exploits.
• Designing and implementing robust detection and prevention systems to identify and block unauthorised automation, including bots, macros, and scripting tools, preserving the integrity of user interactions.
• Analysing emerging threats and hacker behaviour, to refine and adapt security strategies.
• Providing mentorship and knowledge sharing to junior developers, fostering a proactive security culture.
• Creating and maintaining tools and scripts for real-time detection and response to suspicious activities.

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Created on 31/05/2025 by JR United Kingdom