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Software and technology · Senior · UK and US conventions noted

Platform engineer: resume example, explained

This fictional example shows a senior platform engineer leading a team of four and applying for a platform lead role: availability, time to restore, deployment frequency and cost lead the page because they are what a platform produces, infrastructure as code and CI/CD are shown by what they stopped and sped up, and leadership is quantified like everything else. Four decisions are explained, three weak bullets are rewritten from the evidence behind them, and the editable download lets you replace every detail with your own. Nothing here describes a real person, employer or system.

Illustrative example. An illustrative, invented senior platform engineer with nine years in infrastructure and DevOps roles, currently leading a team of four at a fictional logistics software company and applying for a platform lead or staff engineer role. Every employer, availability figure, cost figure and incident is fictional.

Editable version of this example (.docx)

The example document

Nadia Ferreira-Lindqvist

Senior Platform Engineer · Kubernetes, Terraform, CI/CD and observability · Leads a team of four

Birmingham (remote-first) · 07700 900 641 · nadia.fl@example.com

Profile

Senior platform engineer with nine years in infrastructure and DevOps roles, leading a team of four that runs the delivery platform for around 60 services and 45 engineers at a fictional logistics software company. Owns the infrastructure-as-code estate, the CI/CD pipelines and the observability stack; availability held at 99.95% over the last twelve months and mean time to restore fell from 95 to 30 minutes. Cut cloud spend by about 28% in a year with no loss of production capacity.

Experience

Senior Platform Engineer (team lead) — Fictional Freight Software Ltd

February 2022 – present · Internal platform for a logistics product: around 60 services, 45 engineers in six product teams, two public-cloud regions.

  • Lead a team of four platform engineers, running the hiring loop for two of them, weekly one-to-ones and a quarterly roadmap agreed with the six product teams the platform serves.
  • Moved the whole estate to infrastructure as code in Terraform with pull-request review and automated plan checks; manual console changes fell to zero in production and a drift check runs nightly across both regions.
  • Rebuilt the CI/CD pipelines on a shared template so a new service goes from repository to production in under a day; median pipeline time fell from 34 to 11 minutes and deployments rose from about 20 to 90 a week across the 60 services.
  • Introduced service-level objectives, on-call runbooks and an OpenTelemetry-based tracing and metrics stack across around 60 services; availability held at 99.95% over the last twelve months and MTTR fell from 95 minutes to 30 minutes across 2025.
  • Cut cloud spend by about 28% in a year through right-sizing node pools, scheduled scale-down of non-production environments and storage lifecycle rules, with no reduction in production capacity and a monthly report to the finance lead.

DevOps Engineer, then Senior DevOps Engineer — a fictional online marketplace

May 2017 – February 2022 · Marketplace with seasonal peaks; infrastructure team of three.

  • Migrated 30 services from hand-built virtual machines to Kubernetes over 18 months with no customer-facing outage attributed to the migration.
  • Built the on-call rotation, alert routing and first runbooks for the infrastructure team; pages per week fell from around 25 to 8 after alert tuning.
  • Automated the seasonal capacity plan with load tests and autoscaling policies, so the three peak sales periods in 2021 passed without manual scaling.

Education

  • BEng (Hons) Computer Systems Engineering, Fictional University, 2017
  • Professional-level cloud architecture certification from the company's cloud provider, renewed 2025
  • Vendor-neutral Kubernetes administrator certification, 2023

Skills

Kubernetes (multi-region clusters, node-pool sizing, upgrades) · Terraform: modules, pull-request plan checks, drift detection · CI/CD pipeline design and shared templates · Observability: OpenTelemetry, metrics, tracing, SLOs, alert routing · Incident management, on-call design, runbooks, post-mortems · Cloud cost management: right-sizing, scheduling, storage lifecycle · Linux, networking (private networks, load balancers, DNS), secrets management · Leading a small team: hiring, one-to-ones, roadmap

Bullet rewrites, and the evidence behind them

Each rewrite was produced by asking an evidence question and using only the (fictional) answer. No number appears in a rewrite that is not in its evidence.

  1. Before

    Managed cloud infrastructure using Terraform and Kubernetes.

    Evidence question

    How much of the estate is in code, what changed about how changes are made, and how do you know it stays that way?

    Evidence (fictional)

    Whole estate moved to Terraform with pull-request review and automated plan checks; manual console changes in production fell to zero; a drift check runs nightly across both regions.

    After

    Moved the whole estate to infrastructure as code in Terraform with pull-request review and automated plan checks; manual console changes fell to zero in production and a drift check runs nightly across both regions.

  2. Before

    Improved reliability and reduced downtime.

    Evidence question

    Which measures, over what period, across how many services, and what mechanisms moved them?

    Evidence (fictional)

    Service-level objectives, on-call runbooks and an OpenTelemetry tracing and metrics stack introduced across around 60 services; availability 99.95% over the last twelve months; MTTR fell from 95 minutes to 30 minutes across 2025.

    After

    Introduced service-level objectives, on-call runbooks and an OpenTelemetry-based tracing and metrics stack across around 60 services; availability held at 99.95% over the last twelve months and MTTR fell from 95 minutes to 30 minutes across 2025.

  3. Before

    Saved money on cloud costs.

    Evidence question

    How much, over what period, by doing what, and did capacity suffer?

    Evidence (fictional)

    Cloud spend cut by about 28% in a year through right-sizing node pools, scheduled scale-down of non-production environments and storage lifecycle rules; no reduction in production capacity; saving reported monthly to the finance lead.

    After

    Cut cloud spend by about 28% in a year through right-sizing node pools, scheduled scale-down of non-production environments and storage lifecycle rules, with no reduction in production capacity and a monthly report to the finance lead.

Try it on your own bullets with the bullet workbench, which asks the same questions and never adds a figure you did not supply.

Transferable skills in this example

  • Running a service against measurable objectives

    Evidence: SLOs, 99.95% availability over twelve months and MTTR cut from 95 to 30 minutes across 2025.

    Where it helps: Engineering management, site reliability, technical operations and any role accountable for a service level.

  • Cost ownership

    Evidence: About 28% cloud saving in a year, reported monthly to finance with the trade-offs stated.

    Where it helps: FinOps, engineering management and vendor-management roles.

  • Building paved roads for other teams

    Evidence: A shared pipeline template that takes a new service to production in under a day; deployments from about 20 to 90 a week.

    Where it helps: Developer-experience, internal tooling and solutions-architecture roles.

  • Leading without being the manager of record

    Evidence: A team of four, hiring for two, a roadmap negotiated with six product teams.

    Where it helps: Platform lead, staff engineer and technical programme roles.

Occupation notes

Hard requirements

  • Platform engineering is unregulated: no licence or registration applies. Hard requirements come from the advert: the named cloud provider and orchestration stack (shown in production outcomes), on-call participation (say plainly that you do it) and right to work in the country of hire, checked through the verified employer process at the stage required in that country rather than on the resume.
  • Some employers in regulated sectors or government supply chains require a security clearance or a background check as a condition of the offer; state a clearance only if you currently hold it.

Vocabulary that belongs on the page

  • Infrastructure as code (IaC), Terraform plan / apply, drift, state
  • CI/CD pipeline, shared template, deployment frequency, lead time for changes
  • Kubernetes: cluster, node pool, autoscaling, upgrade
  • Observability: metrics, logs, traces, OpenTelemetry, dashboards
  • SLO / SLI, error budget, availability (99.9%, 99.95%)
  • MTTR (mean time to restore), on-call, paging, runbook, post-mortem
  • Right-sizing, reserved capacity, non-production scale-down, cost allocation / FinOps
  • Paved road / golden path, platform as a product, internal developer platform

Pitfalls specific to this occupation

  • Listing cloud services and tools by name for half a page; a platform engineer resume is judged on the outcomes the platform produced for other teams.
  • Quoting availability without a period or scope ('99.99% uptime'); senior interviewers ask over what window, for which services, and how it was measured.
  • Claiming savings without saying what was traded away; 'cut costs 40%' with no capacity statement reads as a corner cut.
  • Describing team leadership vaguely ('mentored engineers') when a platform lead role needs the size of the team, the hiring you did and the roadmap you owned.

UK and US differences

  • UK: UK adverts use 'platform engineer', 'DevOps engineer', 'SRE' and 'cloud engineer' for overlapping work; mirror the advert's title in the headline and keep the outcomes the same. Two pages is normal for a senior UK resume, and the earlier role should still carry numbers rather than duties.
  • US: US adverts often distinguish 'Staff' and 'Principal' levels; map your scope (teams served, roadmap owned) to the level rather than to your years, and expect the resume to run one to two pages.

Common questions

How precise should availability and MTTR figures be on a platform engineer resume?

Precise enough to be checked and explained: the measure, the period, the scope and what moved it. Round to what your monitoring actually reports and avoid any figure you could not defend with a dashboard in an interview.

Should a senior platform engineer resume mention cost savings?

Yes, with the mechanism and the trade-off stated. Say what you changed (right-sizing, scheduling, storage lifecycle), over what period, and that production capacity was unchanged; a saving with no trade-off stated invites suspicion.

Keep going

Published 6 November 2026 · Every person, employer and figure in this example is fictional. Drafted with AI assistance and checked against Luceria’s editorial standards.