8 of 8 Observability Jobs in Avon

Infrastructure as Code tools such as Terraform. Experience with CI/CD platforms including GitHub, GitLab, Jenkins, or similar. Familiarity with monitoring and observability tools for AI applications and services. Database Technologies Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions. Familiarity with NoSQL databases. ...

lakes, warehouses and analytical platforms. Security and access control Experience implementing appropriate security, permissions, role-based access and data-access controls. Data governance and observability Experience implementing frameworks for data lineage, metadata management, data-quality monitoring and observability. Solution architecture We do not require someone whose current job title ...

essential) Practical understanding of compute, networking, storage, and/or identity management. Experience managing multi-account or multi-tenant environments. Experience deploying and configuring observability tools and platforms. Familiarity with GitOps practices. Experience configuring and using Linux systems. About you The ideal candidate will have a strong balance of technical ...

Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery: Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails, automation ...

computing workloads. Oversee Linux-based server environments, cluster infrastructure, storage platforms, and networking services. Ensure platform resilience, scalability, security, and availability. Drive automation, monitoring, observability, and operational best practices. Manage technical incidents, service improvements, and platform optimisation programmes. Lead and develop a team of technical specialists and platform engineers. Define ...

here: areas of responsibility Working within the Platforms team, youll build robust platform services, enabling self-service infrastructure, seamless CI/CD, and strong observability, while also supporting API-first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through … security, compliance, and best practices into the platform by design. Contributing to platform standards, patterns, and reusable components to drive consistency across teams. Improving observability, monitoring, and alerting capabilities across systems and services. Supporting onboarding of teams to the platform and enabling adoption through documentation and guidance. Continuously identifying opportunities ...

Head of Platform Engineering, you'll define and deliver robust platform services, establish the patterns for self-service infrastructure, CI/CD, and observability, and drive the integration of AI/ML capabilities across the organisation. You'll translate platform strategy into a coherent technical roadmap, setting standards that teams … these are sustained as the platform evolves. Defining and maintaining platform standards, patterns, and reusable components that drive consistency across teams. Leading improvements to observability, monitoring, and alerting capabilities across systems and services. Mentoring and developing engineers across the organisation, raising the collective standard of platform engineering practice. Identifying ...

business: run evaluations, evidence the benefits, and train teams on effective use. Build the infrastructure that makes agents trustworthy: sandboxing, permissioning, audit logging, and observability so that what an agent did is efficient, secure, and fully transparent to the engineer who has to stand behind it. Create repeatable development environments … experience implementing agentic AI in real engineering workflows (beyond individual experimentation). Experience designing the guardrails around agentic AI: sandboxing, permissioning, audit logging, or observability for tools operating with elevated access. Deep, hands-on experience of CI/CD, infrastructure as code, containers, and Kubernetes. Experience of building and deploying ...