DevOps & Cloud · Digital Systems
Platform and reliability hiring, calibrated to your operating model.
SRE, platform engineering, cloud infra, security engineering and reliability leadership — each scored on the evidence its remit demands.
Evidence quoted from the CV · rubric versioned per role level · 3 evaluation criteria
Hiring reality
DevOps & Cloud Infrastructure hiring challenges
What DevOps & Cloud Infrastructure teams tell us before switching to a structured, evidence-based workflow — and how TaaSFlow turns each risk into a scoring signal.
SRE vs platform vs DevOps
These labels are used interchangeably but mean different things. Rubrics capture the actual remit: reliability, developer experience or ops automation.
Scale and blast radius
Running a startup cluster and running a fleet at hyperscale are not comparable. Scale is captured with named metrics.
Cost fluency
Cloud cost is now a first-class skill. FinOps discipline is scored explicitly.
On-call reality
Rota depth, escalation ownership and incident-commander experience vary hugely between candidates who all list 'on-call' on the CV.
Role explorer
Explore DevOps & Cloud Infrastructure roles TaaSFlow sources
Select a family to see typical roles, common requirements, the signals we evaluate, and a sample of the evidence we quote back.
Site reliability engineers
Mid · SRE · DevOps & Cloud Infrastructure
A Site reliability engineers at TaaSFlow is a mid operator who owns delivery of individual tracks end to end — focused on shipping production software inside a devops & cloud infrastructure context.
Common requirements
- 2–5 years of relevant experience
- Production code shipped in the target stack, not just tutorials
- Domain fluency for DevOps & Cloud Infrastructure
- Right to work confirmed for the target market
Candidate signals we score
- Years of production stack use
- System-design ownership
- Code review depth
- Scale evidence
- IaC portfolio
Relevant skills
- Kubernetes
- Terraform
- Observability
- IaC
- System design
- Testing & CI/CD
Likely validation areas
- Stack claims cross-checked against project timelines
- Employment continuity and reason for change
Sample evidence line
For a Site reliability engineers in devops & cloud infrastructure, a CV scores on the systems and stack it names, with dates and ownership scope — not on a keyword list.
Hiring a Site reliability engineers? Brief the role — first shortlist within 7 business days.
Brief this roleSee how the platform sources itCraft
Skills, tools and certifications
Skills
- Kubernetes
- Terraform
- Observability
- IaC
- FinOps
- Incident response
Tools & platforms
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Pulumi
- Datadog
- Grafana
- PagerDuty
- Argo CD
How TaaSFlow scores talent
Scoring priorities for DevOps & Cloud Infrastructure
Every point of the score maps to an evidence quote from the CV. Dimensions, weights and critical requirements are shown alongside each candidate — the score supports judgment, it doesn't replace it.
What we evaluate in technology hires
Dimensions specific to DevOps & Cloud Infrastructure — not a generic checklist.
Dimension
Systems & stack depth
Years of production use of the actual stack the role touches — languages, frameworks, cloud, database — separated cleanly from tools merely listed on the CV.
Strong signal
A devops & cloud infrastructure CV that names its systems & stack depth outright: the work, the dates, the scope it owned, and something a reference can confirm.
Watch-out
Systems & stack depth asserted for devops & cloud infrastructure with nothing named behind it — no dates, no scope, no way to tell individual work from team credit.
How TaaSFlow validates
Every stack claim is cross-checked against project timelines and named systems on the CV; surface exposure never scores as production experience.
Other DevOps & Cloud Infrastructure dimensions
See the full methodology on how scoring works.
Platform configuration
How TaaSFlow is configured for devops & cloud infrastructure hiring
Same platform, same objects, different configuration — Engineering and product. Depth of production skill carries the rubric; credentials carry very little.
Role families
What the workspace is set up to hire
Software engineering
Backend · Frontend · Full-stack · Mobile · Staff / principal
Platform and reliability
SRE · Platform · DevOps · Cloud architecture
Data and AI
Data engineering · Analytics engineering · ML engineering · Data science
Product and design
Product management · Technical PM · Product design · Research
Security
Application security · Cloud security · Detection & response · GRC
Requirements
Requirement patterns captured at intake
- Named languages, frameworks and clouds with years of production use
- Ownership scope: services owned, on-call, incident command
- Scale markers: traffic, data volume, users, cost envelope
- Work model and timezone overlap as a first-class requirement
Evidence
Evidence types extracted from the CV
- Systems owned
- Named services with production ownership, quoted from the CV.
- Architecture decisions
- Trade-offs stated on the CV, with the alternative rejected.
- Scale and reliability
- Latency, availability and incident numbers, not adjectives.
- Delivery record
- Shipped work with dates, scope and measurable outcome.
Scoring
Rubric weighting for this configuration
- Skills & tools
- 35
- Relevant experience
- 20
- Industry context
- 10
- Seniority & scope
- 15
- Credentials & licences
- 5
- Languages
- 5
- Location & logistics
- 10
- Skills sit at the ceiling of the allowed range because stack depth is the discriminator.
- Credentials sit at the floor: certifications rarely predict engineering outcomes.
- Adjacent stacks are scored as adjacency, with the gap stated rather than hidden.
Compliance
Compliance handled in the workflow
- Security programme exposure
- SOC 2, ISO 27001 or PCI-DSS scope recorded where the role touches it.
- Data handling
- GDPR-aware handling flagged for roles working on EU or UK personal data.
- Right to work and location
- Work authorisation and timezone captured as hard requirements when the role demands them.
Approval controls
Who has to agree before anything moves
Fast configuration: one reviewer, evidence verification on, no second approver on stage moves.
- Approval before client visibility
- No candidate appears in a client workspace until a reviewer approves them for that specific role.
- Evidence verification
- Extracted evidence is reviewable line by line, and a reviewer can confirm or reject each finding before it counts.
- Separate contact release
- Seeing a candidate and seeing their contact details are two different permissions, released independently.
- Reversible decisions
- Client decisions stay reversible for a short window, so a mis-click never becomes a permanent outcome.
- Full audit trail
- Every state change records who did it, when, and against which rubric version.
Integrations
Connections used in this configuration
- Agent connectivity (MCP)Available
- CalendlyAvailable
- Transactional emailAvailable
- In-workspace hiring analyticsAvailable
- AttioAvailable
- Microsoft TeamsBeta
- Intake and application endpointsCustom setup
- Payment webhooksAvailable
Role blueprint — example
Senior backend engineer (example)
Example configuration output, not a customer role. Seniority: Senior.
Must-haves
- 4+ years production Go, Java or Node
- Owned a service in production with on-call responsibility
- Relational data modelling at scale
Dealbreakers
- No production ownership
- No overlap with the team's core hours
Screening questions
- Which production service did you own end to end, and what was its scale?
- Describe an architecture decision you made and the option you rejected.
Intelligence
What the recommendations layer watches here
- Requirement lists that are too restrictive for the available pool
- Score compression when every candidate looks the same
- Stalled technical interview stages
Process
The DevOps & Cloud Infrastructure hiring process
See the full process on how it works.
Product demonstration
What a DevOps & Cloud Infrastructure shortlist looks like
Ranked candidates with a fit score, requirement coverage, evidence quotes, strengths and validation areas. Reviewed by a partner before it reaches you.
Example data — not a live candidate
DevOps & Cloud Infrastructure shortlist · Example
Candidate #EXAMPLE · Alex R.
Applying as: Site reliability engineers
- Kubernetes
- Terraform
- Observability
Recommended: shortlist
“Fleet size, request volume, incident cadence — with named SLOs.”
Example data — no production candidate.
Adjacent hiring
Related industries
Technology
Engineering foundations.
ExploreCybersecurity
Security engineering and IAM.
ExploreSaaS
Recurring-revenue hiring for product-led and enterprise SaaS teams — product, CS, RevOps, sales and implementation, cali
ExploreData & Analytics
Data engineering, analytics, BI, machine learning, governance and visualisation — sourced with stack-aware rubrics and b
ExploreCommon questions
DevOps & Cloud Infrastructure hiring FAQ
Do you separate SRE and platform roles?
Yes — different rubrics, different evidence.
Can you validate claimed uptime and scale numbers?
We quote the CV line behind each scale claim so your team can probe it directly in interview.
Do you screen for FinOps experience specifically?
Yes. Cost-reduction programmes and savings-plan ownership are captured as a first-class signal when the role calls for it.
Can you hire for a specific cloud provider?
Yes. AWS, GCP and Azure depth are scored separately, and multi-cloud experience is flagged rather than assumed equivalent.
DevOps & Cloud
Hiring for Platform or SRE?
Submit the role — remit captured, scale scored, evidence you can defend.
- 20-minute discovery call — role, must-haves, timeline, budget.
- Ranked shortlist in days — with evidence quoted from every CV.
- Flat subscription — no percentage-of-salary fees, ever.