8 of 8 Secrets Management Jobs in Central London

Privileged Access & Identity Security Engineer to join a highly technical, security-first organisation operating in a fast-paced, regulated environment. Identity, privileged access, and secrets are treated here as core security engineering problems , not just compliance controls. This role sits within the Identity & Access Management (IAM) function, with … strong emphasis on Privileged Access Management (PAM) , automation, and secure access to critical systems and platforms. Responsibilities: Privileged Access Management (PAM) Own and operate enterprise PAM platforms (e.g. CyberArk or equivalent) Design, implement, and maintain privileged access controls across Windows, Unix/Linux, and application environments Automate onboarding ...

security controls and automation across CI/CD pipelines Improve cloud security posture across environments Implement and manage security tooling (SAST, DAST, container scanning, secrets management) Support Infrastructure as Code security and best practices Work closely with engineering teams to promote security-by-design Identify and remediate vulnerabilities ...

Architecture (Lambda, DynamoDB, ECS Fargate) Core AWS services: EC2, S3, RDS, API Gateway, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, ALBs, KMS, Secrets Manager, Parameter Store Knowledge of message-based architectures (Kafka or MQ) Proficiency with Docker, Kubernetes, and CI/CD tools Strong database skills: Sybase ...

releases, and environment governance Infrastructure-as-Code (Bicep, ARM, Terraform) Containerisation (Docker, AKS) and serverless (Azure Functions) Monitoring and observability (Application Insights, Log Analytics) Secrets management and vulnerability scanning (Key Vault, SonarQube, OWASP) Microservices and event-driven design (Service Bus, Event Grid, Kafka) Domain-Driven Design (DDD) principles ...

multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety. Amazon Q for developer and ops assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE‐native agentic coding … policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion. Architecture & Integration: Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST/GraphQL). MLOps & AIOps: CI/CD for AI, model lifecycle (eval ...

microservices trade-offs. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 Can speak, or learning to speak … tech talks, articles, YouTube videos, etc.). Experience (even non-production) with different types of programming languages: interpreted, compiled, with garbage collection, manual memory management, reference counting memory management, etc. What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while ...

validation & testing (pyATS, NAPALM, or similar) Linux networking fundamentals (iptables, DHCP, DNS) and Bash scripting Observability : metrics, logs, tracing (Prometheus/Grafana or equivalents) Secrets & config management (Vault, PKI best practices) Nice to have: Workflow orchestration (Temporal or similar) Containers and orchestration (Docker, Kubernetes) Experience with datacentre fabrics ...

/JSON), event-driven messaging (queues/topics), batch feeds, file-based interfaces (S3-based exchanges), structured email fallbacks Demonstrate practical experience with API management and integration middleware: API gateways, iPaaS/ESB patterns, message brokers, transformations, retries/backoff, idempotency, contract versioning Lead master data management … backoff, event replay strategies, feature flags, safe deployments Work deeply with DevOps on AWS infrastructure, performance, and reliability: Containerised deployments, networking/security boundaries, secrets, scaling, environment management Own cost/performance trade-offs: Cloud cost monitoring, AI cost optimisation, workload tuning, capacity planning Security, Compliance & Customer-Facing ...