5 of 5 Permanent Observability Jobs in Sheffield

Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability, governance, security, and performance. Mentor engineers and provide technical leadership across AI development initiatives. Contribute hands‐on to solution design, development, code reviews, and production deployment. ...

specific best practices, including IAM design, logging/monitoring, network security controls and workload security. Strong understanding of DevOps/SRE principles, including reliability, observability, incident response supportability and engineering for resilience. Proven experience implementing Infrastructure as code using Terraform (and/or Config Connector), including module design, environments, policy ...

SAST DAST dependency and container image scanning secrets management and policyascode* Define release strategies environment promotion flows rollback mechanisms and auditready deployment processes* Establish observability standards for logs metrics traces and proactive alerting across cloudnative applications* Lead incident response root cause analysis and reliability improvements to reduce service disruption … management encryption and network security controls* Practical DevSecOps experience with vulnerability management and secure software supply chain practices* Experience implementing monitoring and observability using tools such as Azure* Monitor Google Cloud Operations Prometheus Grafana and centralized logging platforms* Strong understanding of networking concepts including VNET VPC DNS ingress load balancing ...

oversee LLM, RAG, and Agentic AI integrations across Azure, AWS, and GCP, collaborate with architects to ensure secure, maintainable solutions, and set standards for observability, governance, and #J-18808-Ljbffr ...

production quality services within our current business controls Build and Optimise DecOps pipelines - enhancing CI/CD processing, including testing and platform/process observability Design, iterate, and optimise prompts for a wide range of LLM use cases instruction following, structured output generation, classification, summarisation, code generation, and reasoning tasks … Integration: Architect and implement/maintain agentic systems autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory augmented reasoning Implement LLM observability logging, tracing, evaluation pipelines, and guardrails to maintain quality and reliability in production AI systems Advise on responsible AI deployment, including output validation, human ...