3 of 3 Permanent Secure Coding Jobs in East London

of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice More ❯

new team working on a new crypto offering to design, develop and implement high performance cloud-native backend services including owning DevOps processes to ensure systems are robust, secure and observable. You'll be working with a modern tech stack using Java, Spring Boot, CI/CD, Kubernetes, AWS, EKS and Grafana/Splunk. About you: You have … good knowledge of DevOps practices including CI/CD, IaC (Terraform) and container orchestration You have experience with observability tooling You have a solid understanding of secure coding and deployment practices You're collaborative and pragmatic with great communication skills W hat's in it for you: As a Senior Java Developer/Backend Engineer you will More ❯

office. DEPARTMENT PURPOSE The Information Security team is a strategic enabler for our global law firm, focused on protecting client data, intellectual property, and business operations while enabling secure innovation. Through four key pillars Digital Trust, Technical Assurance, Security Operations, and Governance, Risk and Compliance (GRC) the team delivers comprehensive security solutions that align with our firms strategic … objectives as well as client and regulatory requirements. Our integrated approach combines secure by design principles relying on Identity and Access Management, Technical Assurance, continuous monitoring and incident response through Security Operations, and proactive risk management through GRC. Working closely with the Markets Innovation Group (MIG) and Fuse, the firms legal tech incubator, we ensure emerging technologies, and … the AI governance. Integrate security into the SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model More ❯