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Senior Application Security Engineer

Thought Machine
CompanyThought Machine
CategoryEngineering
LocationLisbon
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryEUR 80k–105k
Posted24 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. This position plays a key role in ensuring Thought Machine teams are taking all required steps in building a secure product set. You will play a major and leading role in protecting Thought Machine product against security risks, with influence to implement cutting-edge measures to minimise exposures and vulnerabilities. Whether engineering a system to address a technical security hurdle, protecting our customers' data, or consulting on a wide range of security topics, you are empowered to engage and lead cross-functionally. A large part of Thought Machine product security function is a greenfield challenge, we are building the bank of tomorrow with cutting edge web technology, no best-practice/of the shelve security frameworks or tools can solve our security challenge. We are building the best security to enable engineering and impress financial service auditors. Key qualities of the ideal candidate would have experience in OWASP top 10 vulns, devsecOps, data privacy protection, passion to mentor and enable devs, creativity, autonomy, ability to work and complete multiple projects simultaneously. DUTIES - Drive improvements to Thought Machines product security posture through strategic planning and collaboration with both development and infrastructure teams, with trust, autonomy and influence. - Produce production web scale grade application security design. - Review and produce data privacy and financial regulatory functional and nonfunctional designs. - Perform design reviews and Threat modeling of Thought Machine services and products. - Perform vulnerability assessments and security testing. - Providing subject matter expertise on all areas of security and privacy throughout the Software Development lifecycle. - Liaison with development teams for design, code reviews & education. - To contribute to security strategy, security tooling selection and creation. - Conduct regular security assessments and code reviews. REQUIREMENTS Essential - Expertise with a programming language (e.g. Python, Go or Java) - Experience of security in a DevOps environment - Experience in web application penetration testing and security tooling (e.g. Burp proxy, Web/Network Scanners, Static code analysers, etc). - Coding experience for automating/integrating security tools and creation of security tools. - Knowledge of security in distributed systems at scale. - Cloud and containers technology knowledge (e.g. AWS, GCP, Kuberbetes, Docker) - Experience of perfor
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