Gustav Cafe OÜ
Ametikohast
Kandideeri sellele ametikohale
See kuulutus asub mujal. Kandideerimised käivad ettevõtte enda lehel — hire.ee neid ei näe.
Sarnased pakkumised
Bolt
As a Senior Full Stack Engineer , you will be responsible for architecting, designing, developing, and deploying Bolt’s growing backend and frontend systems. That will mostly happen via coding in Node.js and TypeScript.
Wise
About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role Team: FinCrime Requests Our mission is to be the first point of contact for any external investigations involving Wise's customers, efficiently processing requests from partner banks, law enforcement, and other authorities while catching suspicious activities that our internal systems might miss. In our strategic vision, we've identified key pillars: Intelligent Request Processing: Improve manual, email-based request handling with automated systems using LLMs and enhanced data processing - targeting 90% automation for Law Enforcement cases and significant improvements for Partner Bank RFIs Customer Experience Enhancement: Reduce transaction suspensions and customer friction by building better escalation logic, faster processing times, and improved risk assessment Intelligence Feedback Integration: Use external investigation data to provide insights that can strengthen Wise's internal AML, fraud, and sanctions controls Our next strategic goals revolve around building a unified request handling platform, exploring self-service capabilities for partners, and achieving sub-1-hour end-to-end processing for 80% of cases. Scope of Responsibilities Working, part of the team you will contribute significantly to large-sized impactful projects in external financial crime investigations, from email processing improvements to unified case management platforms. Own the technical roadmap for automating investigative workflows while ensuring optimal customer experience and regulatory compliance. Product Development Improve automation systems using LLMs to better process incoming emails from law enforcement and partner banks Build unified request handling platform that brings together RFI and LE case management workflows Develop partner access capabilities enabling law enforcement and partner banks to access customer information more efficiently Enhance escalation systems that better identify genuine criminal activity while reducing false positives and customer friction Implement automated response generation using LLMs and templating systems for consistent, professional responses Optimize suspended transaction handling to minimize customer impact while maintaining compliance Leadership & Collaboration Mentor junior engineers in financial crime investigation processes and external stakeholder management Collaborate across FinCrime teams to ensure effective intelligence sharing between investigations, fraud, and sanctions teams Lead technical architecture discussions on systems handling sensitive law enforcement and partner communications Drive automation improvements by identifying and implementing high-impact optimization opportunities Work with external stakeholders including law enforcement agencies and partner banks to improve technical processes Qualifications Technical Expertise Extensive experience working with Java, Spring framework, asynchronous message queues and have worked with microservices architecture – this is essential Build scalable case management platforms that can handle growing request volumes globally Implement data enrichment systems that automatically gather relevant customer information Create flexible templating systems for generating responses across different jurisdictions and languages Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .
Playtech Estonia
About the company About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? Playtech’s System Security team is looking for a proactive AI Security Engineer (System Security) to help secure how we design, build, and operate AI systems across both on-premise and cloud environments. In this role, you will focus mainly on infrastructure security, while also working closely with teams across development, security, and AI adoption. You should have hands-on experience securing or administering the platforms behind AI and agentic workloads, including containerization, virtualization, CI/CD pipelines, and related technologies. We are looking for someone collaborative, proactive, and curious, with a strong sense of ownership and a continuous learning mindset. This is a great opportunity to contribute to Playtech’s AI security journey and help shape how AI is adopted securely across the business. The role Your influential mission. You will... Review the AI systems and infrastructure , including local and cloud LLM deployments, gateways, vector stores, and agentic / MCP components, and provide clear recommendations on required hardening measures and areas for improvement. Assess existing guardrails and controls , such as input/output filtering, prompt-injection defenses, rate limiting, and authentication, against industry best practice, provide recommendations to strengthen their effectiveness and drive the implementation of improvements and new controls to ensure the secure and responsible use of AI. Advise on secure-by-design AI architecture, reviewing team designs and deployments against recognized frameworks (OWASP, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001). Recommend and prioritize hardening across the infrastructure behind self-hosted and cloud-based LLMs, and guide teams through remediation. Evaluate the AI supply chain , such as model provenance, AIBOM/SBOM, dependency and artifact scanning, and provide recommendations to address gaps (Including Vibe Coded Applications). Define standards, reference patterns, and best-practice guidance to ensure teams across Playtech build and operate AI securely. Review logging, observability, and detection coverage for AI workloads mapped to frameworks such as MITRE ATLAS, and recommend enhancements to ensure the SOC can effectively monitor and respond across the full AI attack surface. Assess identity, access, and secrets management for models, tools, and data, advising on least-privilege improvements. Support compliance in a regulated environment with audit-ready assessments, evidence, and documentation. Drive innovation within the team — Investigate and where possible implement Agentic AI usage within the unit, to optimize time consuming activities (Chatbots, automation with Hermes or n8n etc) Qualifications Components for success. You... Hold valid and relevant Certifications or equivalent, verifiable experience in the field of Cyber Security and/or Information Technology. Bring solid infrastructure and security engineering experience — Linux, networking, cloud, IAM, container security and automation. Know your way around both self-hosted LLM deployment and cloud LLM platforms (e.g. Azure Foundry, Amazon Bedrock, Google VertexAI, Ollama, LMStudio etc). Can review and assess AI systems against best practice and clearly advise teams on what to harden, improve, or remediate on an ongoing basis. Have prior knowledge of LLM-specific threats : prompt injection, sensitive-data disclosure, data/model poisoning, excessive agency, insecure output handling, supply-chain risk and how to mitigate them. Have knowledge of some of the various AI security frameworks and Guidelines — OWASP Top 10 for LLM Applications (2025) and for Agentic Applications (2026), MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, CISA/NSA guidance, and the EU AI Act — and how to translate them into controls. Have prior experience in guardrail implementation and design evaluation , including prompt-injection defense, output validation, and hallucination mitigation. Had exposure to using infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines to make controls repeatable. Have experience navigating, and working in regulated environments such as gaming, finance, or healthcare. Have clear communication, presentation and collaboration skills — strong documentation skills and cross-team collaboration are central to this role. You'll get extra points for... Hands-on experience building CI/CD security gates and guardrails — the role advises on these more than builds them, but practical experience helps you guide teams well. Working knowledge of Python and Bash scripting is an advantage, any other development languages are also a bonus. Hands-on experience securing MCP / agentic AI infrastructure and the governance of these tools. Hands-on experience with AI Enablement and optimizing workflows using agentic AI and “Vibe coding”. Familiarity with AIBOM / SBOM tooling (e.g. OWASP Dependency-Track, and the CycloneDX SBOM Standard used) and supply-chain security. Exposure to MLSecOps practices and AI red-teaming . Relevant certifications across cloud or emerging AI-security credentials. Additional information Thrive in a culture that values... Collaboration across teams Ownership, curiosity, and a proactive approach to solving complex security challenges Continuous learning and the opportunity to grow into the role while working on AI security topics that are becoming increasingly important for the business. Practical impact, with the chance to help shape Playtech’s AI future and support secure AI adoption across the company. SYSTEM SECURITY TEAM You will be part of the System Security - Endpoint & Gateway team, collaborating closely with another System Security team focused on Data & Identity Security. You will work with team members including an AI Security Engineer focused on Workforce AI, System Security Engineers, and a Principal Security Engineer, while also collaborating with the Playtech AI Committee, other Playtech Security teams, the Application Security Team, and teams across the wider business. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.
Playtech Estonia
About the company About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? Playtech’s Security unit is looking for a proactive AI Security Engineer (Application Security) with excellent communication and problem-solving skills. You’ll be part of our Application Security team , doing the security engineering work the team is known for, with a focus on the AI-powered features and systems we build. The role Your influential mission. You will… • Perform threat modelling and security design reviews for applications, with a focus on AI and LLM-powered features. • Work closely with security, engineering and data science teams to identify, analyse and mitigate security vulnerabilities. • Review the security of AI application architecture, including RAG pipelines, agent and tool-calling flows, model APIs and integrations. • Test AI features adversarially for prompt injection, data leakage, jailbreaks and unsafe output handling. • Define guardrails, input and output validation, and monitoring for AI systems. • Help build secure-by-default patterns and guidance so teams can ship AI features safely. • Support development by using commercial and open source security technologies. • Track the evolving AI threat landscape and translate it into practical standards for our teams. Qualifications Components for success. You… • Have application security experience (secure code review, threat modelling, vulnerability management). • Have great written and spoken English. • Have higher education in the field of IT, or equivalent practical experience • Understand how LLM and ML systems are built and deployed, and can reason about their failure modes. • Have experience with at least one programming language (Java, Python, JavaScript, etc.) and scripting ability. • Have great analytical skills and can find solutions to problems. • Are positive and proactive, and comfortable working across teams. You’ll get extra points for… • Familiarity with AI security frameworks such as the OWASP LLM Top 10, MITRE ATLAS or NIST AI RMF. • Hands-on experience red-teaming AI models or AI-powered applications. • Experience with AI security or guardrail tooling. • Familiarity with security tools like Burp Suite, OWASP ZAP, SAST/DAST tools or other similar. • Knowledge of secure coding and design practices, and the secure software development lifecycle. • Understanding of data governance and privacy considerations in training and inference. Additional information Thrive in a culture that values… • Collaboration and teamwork to share and work together to solve challenges. • Support continuous development through mentorship, training and hands-on experience. • Possibility to take ownership to improve security. • Diverse perspectives and backgrounds. APPLICATION SECURITY TEAM Our team helps ensure Playtech’s products are secure by design. We work closely with engineering, product, data science, and security teams across the business to identify risks, improve security practices, and support the delivery of secure solutions. As part of our international Application Security team, you'll collaborate with colleagues across multiple locations and work on a wide range of technologies, products, and security challenges. You'll also have the opportunity to help shape how Playtech secures AI-powered products and services while learning from experienced security professionals. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.