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EggAI

Open-source enterprise AI framework and services

IT Operations Lead - Banking

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • At least 10 years of experience leading IT operations teams.
  • Experience operating L1, L2, and L3 support as part of SRE, platform reliability, or infrastructure organizations, with people and providers reporting to the candidate.
  • Experience setting operating goals aligned across engineering teams and business stakeholders and maintaining focus on those goals through delivery.
  • Experience introducing SLOs and error budgets into an organization.
  • Deep infrastructure knowledge, including telemetry, redundancies, backups, and requirements for smooth business operations.
  • Incident management experience, including post-incident reviews that resulted in changes to systems and the organization.
  • Experience in regulated financial services or another environment where an external body audits operational evidence.
  • Experience working through a managed service provider and setting standards the provider executes.
  • Experience operating in a complex, multi-stakeholder programme with scope and ownership still being established across parallel workstreams.

Responsibilities

  • Define operational readiness for go-live, including production-readiness criteria, evidence required at each regulatory gate, and organizational changes needed to support that evidence.
  • Redraw responsibilities between client teams and managed service providers, set standards for each party, and lead affected people through the operating-model change.
  • Set the SLO and error-budget framework alongside the client's existing structure, secure adoption by service owners, and commission behavioral quality measures for agentic workloads.
  • Define observability requirements for Tier-1 services and agentic workloads, including trajectory logging; require an automated route from firing alerts to affected services and owners; and ensure operating teams close existing logging gaps.
  • Set runbook standards and coverage requirements, extend incident classification and intervention mechanisms to agentic failure modes, and ensure rollback and change-failure rates are measured and reported by their owners.
  • Direct capacity headroom through the parallel-run peak at cutover, sponsor the chaos and game-day programme for payment rails and the core ledger, and require capacity modelling to cover inference workloads.
  • Own the technical content of the Operational Acceptance Report and Operational Readiness Certificate, the reliability section of each gate pack, and reliability NFRs defended as ADRs through the client's Architecture Design Authority; teams write these materials, and the role reviews and signs them off.
  • Determine how responsibilities are allocated between the client's teams and managed service providers for the new platform, and lead the people concerned through that change.

Desired Qualifications

  • Experience operating LLM or agentic systems, including evaluation harnesses, drift detection, trajectory analysis, and treating prompt and model versioning as change types.
  • Exposure to core banking or payments, particularly scheme gateway integration.

About the Company

EggAI

Open-source enterprise AI framework and services

EggAI Technologies provides expert services and an open-source AI meta-framework to help large enterprises build and deploy scalable, secure, and production-ready AI solutions. It operates with a Plan, Build, Operate & Transfer approach, guiding clients through the full lifecycle of AI projects and ensuring alignment with existing tech strategy, security, and legacy systems. The core product is an open-source framework that offers structured guidance for creating enterprise-grade AI platforms while remaining flexible enough to integrate preferred tools and libraries, avoiding vendor lock-in. What sets EggAI apart is its combination of services and governance-focused, composable AI framework tailored for enterprise-scale deployments, not just a software tool. The company’s goal is to help large organizations move beyond prototyping to deploy reliable, compliant AI systems that deliver tangible business value across generative and traditional AI models.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Munich, Germany
Founded
2024

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