Role

Graduate Platform Engineer

Level 1
Unsatisfactory
Low
Individual
Impact
  • Fails to complete assigned infrastructure tasks even with close supervision and repeated guidance from senior engineers.
  • Applies Terraform or Kubernetes configuration changes without going through the team's review process, creating unreviewed changes in shared environments.
  • Does not raise blockers when stuck, allowing infrastructure work to stall for days without visibility to the team.
Examples
  • Assigned a well-scoped Terraform task with a working example; delivered nothing after two sprints despite daily stand-ups.
  • Applied a configuration change directly to a shared namespace without a PR, bypassing the team's review gate.
Dampeners
  • Was given unclear onboarding with no buddy, no structured pairing plan, and no access to internal runbooks.
  • Assigned tasks requiring cloud platform knowledge significantly beyond their current skill level without scaffolding.
Progression Signal
  • Begins raising blockers within a reasonable timeframe rather than silently stalling.
  • Completes at least one small, well-scoped infrastructure task end-to-end with guidance.
Business Impact
Impact
  • Senior engineers spend significant time unblocking or redoing work, reducing team capacity for platform delivery.
  • Unreviewed configuration changes create reliability risk and erode the team's change safety discipline.
Examples
  • A senior engineer spent a full day reverting and correcting an unreviewed Kubernetes namespace change.
Dampeners
  • Impact is limited given the scope of work assigned; patterns may reflect an onboarding failure rather than a capability gap.
Progression Signal
  • Work begins completing within agreed scope without requiring rework, reducing overhead on senior engineers.
Mid
Individual
Impact
  • Completes some tasks but with frequent errors in IaC or pipeline configuration requiring correction by a senior engineer.
  • Struggles to follow the team's infrastructure conventions - variable naming, module structure, tagging - despite clear examples being available.
  • Shows limited engagement in team ceremonies; attends stand-ups but does not flag blockers or share progress.
Examples
  • Submitted Terraform PRs consistently missing required resource tags despite it being a stated team standard.
  • Attended stand-ups for two weeks without flagging a blocker that had been blocking their task for three days.
Dampeners
  • Recently joined; early patterns may not yet be representative of trajectory or long-term capability.
Progression Signal
  • Begins following the team's IaC conventions with prompting and a checklist.
  • Starts flagging blockers in stand-up rather than waiting for someone to ask directly.
Business Impact
Impact
  • Rework and correction overhead falls on senior engineers, slowing the team's platform delivery throughput.
  • Inconsistent IaC quality contributes to technical debt in the platform codebase.
Examples
  • Three Terraform PRs in one sprint required full rewrites by the reviewing engineer before they could be merged.
Dampeners
  • Business impact remains low given task scope; the cost is primarily senior engineer time.
Progression Signal
  • Rework rate drops; PRs begin landing without major corrections after the first review round.
High
Individual
Impact
  • Consistently resistant to feedback; repeats the same infrastructure mistakes - missing encryption settings, overly permissive IAM - across consecutive reviews.
  • Does not engage with learning resources, runbooks, or the development plan agreed with their mentor.
  • Creates a negative dynamic through disengagement or dismissiveness during pairing sessions with senior engineers.
Examples
  • Received the same IAM least-privilege review comment five times across consecutive PRs with no change in approach.
  • Declined pairing sessions offered by the team's senior platform engineer on three separate occasions.
Dampeners
  • External factors - personal circumstances, mental health - may be contributing to the pattern of disengagement.
Progression Signal
  • Engages constructively with feedback at least once and shows willingness to change approach.
Business Impact
Impact
  • Sustained disruption begins to affect team morale and the team's ability to maintain change safety discipline.
  • Ongoing intervention from senior engineers diverts attention from platform delivery work.
Examples
  • Senior platform engineer spent 20% of their week over a month managing and correcting this individual's IaC output.
Dampeners
  • Scope of impact is limited to team level; no production infrastructure has been affected.
Progression Signal
  • Senior engineer time required drops as individual begins to self-manage basic infrastructure tasks within agreed scope.
Level 2
Development Needed
Low
Individual
Impact
  • Completes small, clearly scoped infrastructure tasks but requires step-by-step guidance on each one.
  • IaC quality is inconsistent - resource tags missing, hardcoded values present, module conventions not followed.
  • Does not yet flag blockers proactively; waits to be asked directly in stand-up.
Examples
  • Completed a Terraform resource block with close support but could not adapt the same pattern to a second resource independently.
  • Missed adding required encryption configuration that was documented in the team's IaC standards guide.
Dampeners
  • Only three months into their first professional platform engineering role with no prior cloud exposure.
Progression Signal
  • Begins completing similar infrastructure tasks with less prompting after seeing the pattern once or twice.
Business Impact
Impact
  • Work requires review and correction overhead higher than expected, given the scope of tasks assigned.
  • Team must account for close dependency in sprint planning; tasks cannot be picked up independently.
Examples
  • Each Terraform ticket averaged two rounds of review comments before it could be safely merged.
Dampeners
  • Typical for early tenure in a platform engineering role; investment now is expected to yield returns within two to three months.
Progression Signal
  • Review round count begins to drop as IaC quality improves and conventions are internalised.
Mid
Individual
Impact
  • Delivers assigned work but struggles to connect what they are doing to the broader platform architecture or developer experience.
  • Questions are sometimes repetitive, suggesting limited retention of explanations given during pairing sessions.
  • Feedback from code reviews is acted on in the immediate PR but not carried forward to subsequent work.
Examples
  • Asked the same question about Kubernetes namespace conventions on three separate occasions over two weeks.
  • Fixed a Terraform state management issue in the current PR but introduced the same issue in the next one.
Dampeners
  • Complex cloud toolchain and unfamiliar IaC patterns may be contributing to retention difficulty early in tenure.
Progression Signal
  • Starts asking follow-up questions that demonstrate understanding of the underlying concept, not just the immediate fix.
Business Impact
Impact
  • Repeated explanations consume mentor and senior engineer time that could be directed at higher-value platform work.
  • Low carry-forward from feedback slows the pace of quality improvement across the graduate's output.
Examples
  • Mentor averaged 45 minutes per day in reactive support over a four-week period rather than structured development sessions.
Dampeners
  • Mentorship investment is expected at this level; the question is whether progress is occurring at a reasonable rate.
Progression Signal
  • Reactive support time drops as IaC patterns and cloud concepts begin to stick across multiple pieces of work.
High
Individual
Impact
  • Delivers work but shows a pattern of avoiding unfamiliar cloud or Kubernetes territory rather than exploring it with support.
  • Does not seek stretch opportunities and defaults to the minimum required within each ticket.
  • Feedback is accepted passively but rarely internalised into changed behaviour or improved craft.
Examples
  • Consistently picks the smallest, most familiar tickets in sprint planning and avoids anything involving Kubernetes or observability.
  • Acknowledged all IaC review feedback as 'noted' but the same issues recurred across three sprints.
Dampeners
  • May be lacking confidence in the platform toolchain rather than motivation; requires a different style of support.
Progression Signal
  • Picks up one unfamiliar platform task and completes it with structured pairing support.
Business Impact
Impact
  • Growth trajectory is below expectation for tenure, creating uncertainty about the return on mentorship investment.
  • Limited stretch means the graduate is not building the breadth in CI/CD, Kubernetes, and IaC needed to become more self-sufficient.
Examples
  • Six months in and still requires the same level of guidance as at month two on routine Terraform tasks.
Dampeners
  • Business impact is low; risk is in longer-term return on investment and role suitability.
Progression Signal
  • Takes on and completes a moderately complex Terraform or pipeline task with less support than before.
Level 3
Consistently Delivers
Low
Individual
Impact
  • Completes well-scoped infrastructure tasks reliably with minimal rework after the first review round.
  • Follows the team's IaC conventions and CI/CD pipeline standards without needing reminders.
  • Asks good questions about cloud concepts and platform patterns - focused, contextual, showing prior effort to investigate.
Examples
  • Delivered three Terraform resource tickets in one sprint to the expected standard, each merging after a single review round.
  • Before asking for help on a Kubernetes manifest issue, documented what they had tried - saving senior engineer time.
Dampeners
  • Work is still scoped and structured by others; independence is emerging but not yet established across the breadth of platform tasks.
Progression Signal
  • Begins suggesting approaches to infrastructure problems before being told, showing developing initiative.
Business Impact
Impact
  • Contributes reliably to sprint velocity within the scope of their assigned platform work.
  • Senior engineer mentorship overhead is reducing to a sustainable level, freeing capacity for higher-complexity work.
Examples
  • Delivered 100% of assigned infrastructure tickets in three consecutive sprints without requiring rework.
Dampeners
  • Contribution scope is still narrow; business impact is within the immediate team.
Progression Signal
  • Scope of reliable contribution begins to expand incrementally to include CI/CD and observability tasks.
Mid
Individual
Impact
  • Reliably delivers assigned work and is starting to contribute ideas in platform design discussions.
  • Actively participates in Terraform and Kubernetes code reviews - asks clarifying questions and learns from feedback.
  • Shows good learning habits - revisits cloud documentation, follows up on review feedback patterns, explores sandbox environments.
Examples
  • Spotted a missing encryption setting in a teammate's Terraform PR and raised it constructively with supporting documentation.
  • Completed a self-directed learning goal on Kubernetes pod scheduling and applied the knowledge in their next ticket.
Dampeners
  • Still dependent on well-scoped tickets; does not yet initiate scope definition or propose improvements independently.
Progression Signal
  • Starts breaking down infrastructure tasks independently rather than waiting for them to be fully defined upfront.
Business Impact
Impact
  • Reliable contributor whose platform work lands consistently, improving team predictability in sprint delivery.
  • Growing engagement in IaC reviews adds value beyond their own tickets.
Examples
  • Caught two IAM security issues in peer reviews across the sprint that would otherwise have reached production.
Dampeners
  • Impact still primarily within the team; limited cross-team or platform-wide contribution.
Progression Signal
  • Begins contributing to decisions that affect platform components beyond their immediate ticket.
High
Individual
Impact
  • Delivers reliably and is beginning to self-direct learning toward gaps in their Kubernetes and observability knowledge.
  • Seeks out stretch tasks in CI/CD and IaC design and handles them with appropriate pairing support.
  • Feedback from reviews is internalised quickly and visibly improves IaC quality and convention adherence over time.
Examples
  • Identified a gap in their understanding of Terraform state management, worked through it independently, and applied it in the following sprint.
  • Volunteered to pick up an unfamiliar Helm chart task and delivered it successfully with one pairing session.
Dampeners
  • Still operating within defined scope; is not yet driving technical decisions or proposing platform improvements.
Progression Signal
  • Begins contributing a technical perspective in sprint planning or platform architecture discussions.
Business Impact
Impact
  • Reliable delivery and growing independence reduce mentorship overhead on senior platform engineers.
  • Self-directed growth means the investment in this graduate is beginning to compound in terms of team capacity.
Examples
  • Senior engineer noted they spent half the mentoring time compared to the previous quarter, freeing capacity for architecture work.
Dampeners
  • Business impact still limited to team scope; contribution to cross-team platform value not yet established.
Progression Signal
  • Contributes value extending beyond their own tickets to broader platform quality or documentation improvement.
Level 4
Leading
Low
Individual
Impact
  • Delivers reliably and begins to support other graduates or newer joiners informally on IaC and pipeline patterns.
  • Contributes meaningfully to platform technical discussions, offering perspectives backed by documentation or prior investigation.
  • Takes ownership of small platform workstreams without needing the scope fully defined upfront.
Examples
  • Helped a new graduate through a Terraform plan/apply debugging session without being asked.
  • Proposed a cleaner Kubernetes manifest structure in sprint planning and implemented the improvement themselves.
Dampeners
  • Leadership is informal and emerging; not yet a consistent multiplier on platform team output.
Progression Signal
  • Is sought out by peers for help with IaC or Kubernetes questions, signalling growing credibility.
Business Impact
Impact
  • Beginning to have a multiplier effect - delivery and behaviours begin to lift the output of those around them.
  • Reduced dependency on senior engineers for graduate support creates bandwidth for deeper platform work.
Examples
  • Handled new-joiner IaC onboarding questions for two weeks, freeing senior engineer time for a critical reliability improvement.
Dampeners
  • Scope of multiplier effect is still narrow - team-level only.
Progression Signal
  • Multiplier effect grows as informal leadership becomes more consistent across platform knowledge areas.
Mid
Individual
Impact
  • Consistently delivers and actively improves team platform practice - runbook quality, IaC documentation, pipeline standards.
  • Is a go-to resource for newer team members on CI/CD and basic Kubernetes operations and handles that role well.
  • Brings a visible growth mindset to platform engineering that is infectious in the team.
Examples
  • Rewrote an outdated Terraform module guide that had been causing confusion for engineers picking up new infrastructure tasks.
  • Ran an informal knowledge-share session on Kubernetes pod failure debugging patterns they had recently learned.
Dampeners
  • Still at graduate level - breadth across cloud architecture and advanced Kubernetes is developing; not yet a technical authority.
Progression Signal
  • Described by peers as someone who makes the platform team better, not just someone who completes tickets.
Business Impact
Impact
  • Contribution goes beyond delivery - actively improving team effectiveness and platform knowledge quality.
  • Positive behaviours create a better environment for others to learn and deliver safely.
Examples
  • Runbook improvements they made reduced onboarding time for the next graduate joiner by an estimated 30%.
Dampeners
  • Impact is still primarily internal to the platform team.
Progression Signal
  • Impact of their contributions begins to extend beyond the immediate team to engineering teams using the platform.
High
Individual
Impact
  • Operating at the ceiling of what a graduate role can deliver - a clear candidate for promotion to junior platform engineer.
  • Proactively identifies gaps in platform team practice and drives improvement without being asked.
  • A visible positive force on team culture, IaC quality, and peer learning around platform engineering.
Examples
  • Proposed and led an improvement to the team's Terraform PR template that reduced common review comments.
  • Consistently the first to volunteer for stretch platform work - CI/CD redesign, Kubernetes upgrade support - and consistently delivers it.
Dampeners
  • Still operating within graduate-scoped context; depth of influence on cloud architecture decisions is bounded by role level.
Progression Signal
  • Conversation should be about promotion timeline to junior platform engineer, not further development at this level.
Business Impact
Impact
  • Delivering at a level that justifies progression to junior platform engineer.
  • Positive influence on platform quality and team culture has measurable impact on delivery consistency.
Examples
  • Team retrospective feedback consistently cited this individual as a contributor to team effectiveness and platform knowledge quality.
Dampeners
  • Impact ceiling at graduate level; promotion is the right next step to unlock further contribution.
Progression Signal
  • Promotion case is clear; delay risks disengagement from an individual who is already delivering above level.
Level 5
Transformative
Low
Individual
Impact
  • Performing well beyond the graduate level in both platform delivery and team contribution.
  • Has independently driven improvements to IaC standards or CI/CD patterns that are now embedded and used by the team.
  • Acts as a practical mentor to other graduates on Kubernetes and Terraform despite being in a graduate role themselves.
Examples
  • Identified a repeated class of IAM misconfiguration in the codebase and proposed and implemented a module-level guard to prevent it.
  • Mentored two other graduates through their first Kubernetes deployment tasks without involving a senior engineer.
Dampeners
  • Impact, however exceptional, is still scoped by the nature of graduate-level work; the role level is the constraint.
Progression Signal
  • Promotion should have already happened or be imminent; this level of performance should not persist at graduate for long.
Business Impact
Impact
  • Delivering impact more typical of a junior or intermediate platform engineer.
  • Their presence has a measurable positive effect on team capability and platform quality.
Examples
  • Attributed with reducing a class of IAM-related pipeline failures through a Terraform module pattern they introduced.
Dampeners
  • Exceptional at this level but still bounded by graduate scope; promotion unlocks further platform impact.
Progression Signal
  • Post-promotion trajectory is expected to continue at this rate of growth.
Mid
Individual
Impact
  • Anomalously strong for a graduate - operating as a capable junior platform engineer in all but title.
  • Drives cross-team contributions on CI/CD tooling and participates in Kubernetes architecture discussions with credibility.
  • Sets a standard that raises the bar for the graduate cohort as a whole.
Examples
  • Contributed a well-received proposal to improve the team's Helm chart structure across multiple services.
  • Independently delivered a non-trivial Terraform module for a new cloud service with no escalation to a senior engineer.
Dampeners
  • This rating at graduate level is rare and should prompt an immediate promotion review.
Progression Signal
  • Promotion is overdue; further delay is a retention risk for a high-potential platform engineer.
Business Impact
Impact
  • Business value delivered is disproportionate to the graduate role level.
  • Cross-team contributions create platform value beyond the immediate team boundary.
Examples
  • CI/CD pipeline improvement they designed reduced build times for two engineering teams by 25%.
Dampeners
  • Exceptional and should not persist at this level; promotion should be the priority response.
Progression Signal
  • Post-promotion, impact trajectory is expected to accelerate significantly.
High
Individual
Impact
  • Performing at a level that makes their graduate title almost irrelevant - they are a mid-level platform engineer by impact.
  • Technical contributions to IaC quality, Kubernetes operations, and CI/CD reliability rival those of experienced engineers on the team.
  • Represents an extreme outlier in the graduate cohort.
Examples
  • Delivered an end-to-end Terraform module for a new cloud environment with no guidance that passed review without significant rework.
  • Their IaC quality and review contributions are indistinguishable from junior platform engineers on the team.
Dampeners
  • Keeping this individual at graduate level is a significant retention risk and a failure of the performance process.
Progression Signal
  • Immediate promotion; the performance system has not kept pace with this individual's platform engineering growth.
Business Impact
Impact
  • Delivering outsized business value for a graduate cost - effectively a force multiplier on platform team capacity.
  • Recognised beyond the immediate team as an exceptional contributor to platform quality.
Examples
  • Cited by the engineering manager as one of the top contributors to platform reliability improvements in the quarter.
Dampeners
  • This situation reflects a process failure; promotion action should be immediate.
Progression Signal
  • Promotion resolves the mismatch; continued growth expected post-promotion.