Working closely with Engineering, DevOps and other teams, providing guidance and training on best practices and new technologies.

A discipline that connects Engineering, DevOps, QA, Security, Product, and Ops to accelerate delivery, reduce friction, and raise team capabilities by providing technical guidance, hands‑on support, and shared practices.

Definition and objectives

Definition: Active partnership between platform owners, architects, and delivery teams to remove technical blockers, transfer knowledge, and ensure consistent adoption of best practices and new technologies.
Primary objectives: increase delivery throughput; improve system stability and security; accelerate onboarding; reduce duplicated effort; and raise collective engineering maturity.

Core activities

Guidance and design reviews:
– Host lightweight architecture and design review sessions; publish actionable recommendations and ADRs.


Hands‑on support:
– Pair programming, runbooks, troubleshooting war‑rooms, and ride‑along during incidents and major releases.

Standards enforcement:
– Maintain and promote coding standards, CI/CD patterns, IaC modules, and security baselines; integrate checks into pipelines.

Enablement and training:
– Deliver workshops, brown‑bags, office hours, and role‑specific curricula for Devs, SREs, and platform consumers.

Tooling and templates:
– Provide reusable starter repos, pipeline templates, IaC modules, API templates, and observability dashboards.

Change advocacy:
– Sponsor pilot projects, run internal pilots, collect feedback, and shepherd successful pilots into official tooling and standards.

Collaboration practices and channels

Embedded collaboration:
– Embed platform engineers or champions into feature teams for a sprint or milestone to transfer context and accelerate adoption.

Office hours and clinics:
– Regular drop‑in sessions for troubleshooting, code reviews, and architecture clinics with clear agendas and follow‑ups.

Communities of practice:
– Cross‑team guilds for topics (CI/CD, Security, Data, Observability) with shared playbooks and a public backlog.

SLA‑backed support:
– Define response SLAs for triage, escalation paths, and handover criteria for complex issues.

Asynchronous collaboration:
– Use PRs, ADRs, design docs, and public issue trackers to make knowledge discoverable and reduce meeting overhead.

Knowledge portal:
– Central searchable hub with quickstarts, runbooks, templates, API catalogs, and training materials.

Training, enablement and measurement

Curriculum design:
– Role‑based tracks: new‑hire bootcamp, platform consumer, SRE fundamentals, secure coding, and observability deep dives.

Hands‑on labs:
– Lab environments and short, measurable exercises that mirror common production tasks and failure scenarios.

Mentorship and technical coaching:
– Regular 1:1s, shadowing during incidents, and periodic code/design clinics to raise team competency.

Learning metrics:
– Track adoption (templates used, modules consumed), training completion rates, reduction in support tickets, and time‑to‑onboard new engineers.

Roles, governance and operating model

Role delineation:
– Platform/DevOps team: build and maintain shared services and templates.
– Technical leads/architects: approve designs, curate standards.
– Security/compliance: define guardrails and review high‑risk changes.
– Product teams: implement using provided standards and give feedback.

Operating model:
– Triage → Assist → Enable → Autonomy: support teams until they can self‑serve; record blockers as backlog items for platform improvement.

Governance:
– Lightweight review board for high‑risk changes, periodic standards review, and a cadence for promoting pilots into the standard catalogue.

Metrics, common risks and mitigations

Key metrics:
– Time to first‑response on support requests; number of incidents attributable to integration mistakes; onboarding time; template/module adoption rates; reduction in cross‑team PR review cycles.

Common risks:
– Centralised bottleneck where support becomes a gate; poor discoverability of guidance; inconsistent adoption of standards; stale training materials.

Mitigations:
– Automate common support paths; publish self‑serve templates and runbooks; rotate platform engineers to avoid gatekeeping; schedule periodic content refreshes and measure adoption.

Practical starter checklist

– Publish a searchable quickstart for the platform with a “Hello World” template and one pipeline example.
– Run weekly office hours and a monthly architecture clinic; record sessions and link to docs.
– Create two role‑based learning tracks with hands‑on labs and measurable exercises.
– Instrument and track support tickets to identify the top 10 recurring blockers; turn those into platform or doc tasks.
– Appoint and rotate platform ambassadors into product teams for at least one sprint per quarter.

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