Technology · Digital Systems
Engineering, product and infrastructure hiring, on one transparent workflow.
Software, cloud, security and IT-leadership hiring on one transparent workflow, with technical evidence pulled straight from the CV.
Evidence quoted from the CV · rubric versioned per role level · 3 evaluation criteria
Hiring reality
Technology hiring challenges
What Technology teams tell us before switching to a structured, evidence-based workflow — and how TaaSFlow turns each risk into a scoring signal.
Signal is buried in the CV
Great engineers describe impact in prose, not keywords. The rubric extracts architecture calls, systems owned and scale handled.
Stack fit vs transferable skill
Stacks look similar on paper. We calibrate to the exact languages, frameworks and clouds the role needs, and flag adjacencies.
Volume vs precision at every level
Junior funnels flood inboxes; senior searches stall. Rubrics tuned per level surface the seniority and specialisation you're hiring for.
Remote, hybrid and on-site trade-offs
Every tech role has a location model. It becomes a first-class filter so time-zone mismatches never reach shortlist.
Role explorer
Explore Technology 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.
Backend engineers (Go, Node, Java, Python)
Mid · Software engineering · Technology
A Backend engineers (Go, Node, Java, Python) at TaaSFlow is a mid operator who owns delivery of individual tracks end to end — focused on shipping production software inside a technology context.
Common requirements
- 2–5 years of relevant experience
- Production code shipped in the target stack, not just tutorials
- Compliance with SOC 2 program experience for platform/security hires
- Right to work confirmed for the target market
Candidate signals we score
- Years of production stack use
- System-design ownership
- Code review depth
- Systems owned end-to-end
- Architecture decisions
Relevant skills
- TypeScript
- Python
- Go
- Java
- System design
- Testing & CI/CD
Likely validation areas
- Stack claims cross-checked against project timelines
- Employment continuity and reason for change
- SOC 2 program experience for platform/security hires
- AWS Solutions Architect
Sample evidence line
For a Backend engineers in technology, a CV scores on the systems and stack it names, with dates and ownership scope — not on a keyword list. We also check SOC 2 program experience for platform/security hires where the role requires it.
Hiring a Backend engineers (Go, Node, Java, Python)? Brief the role — first shortlist within 7 business days.
Brief this roleSee how the platform sources itCraft
Skills, tools and certifications
Skills
- TypeScript
- Python
- Go
- Java
- Rust
- SQL
- System design
- Distributed systems
- API design
- Testing and CI/CD
- Observability
- Performance
Tools & platforms
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Docker
- React
- Next.js
- Node.js
- Postgres
- Kafka
- Snowflake
- Datadog
- GitHub Actions
Certifications
- AWS Solutions Architect
- AWS DevOps Engineer
- GCP Professional Cloud Architect
- Azure Solutions Architect Expert
- CKA / CKAD
- OSCP
- CISSP
Regulated requirements
- SOC 2 program experience for platform/security hires
- PCI-DSS scope experience for payments-adjacent engineers
- HIPAA-aware handling for healthtech engineers
- GDPR-aware data handling for EU/UK-facing systems
How TaaSFlow scores talent
Scoring priorities for Technology
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 Technology — 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 technology 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 technology 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 Technology dimensions
See the full methodology on how scoring works.
Platform configuration
How TaaSFlow is configured for technology 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 Technology hiring process
See the full process on how it works.
Product demonstration
What a Technology 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
Technology shortlist · Example
Candidate #EXAMPLE · Alex R.
Applying as: Backend engineers (Go, Node, Java, Python)
- TypeScript
- Python
- Go
Recommended: shortlist
“Named services with production ownership, on-call responsibility and measurable scale (RPS, data volume, users).”
Example data — no production candidate.
Common questions
Technology hiring FAQ
How is technical fit evaluated?
A rubric is calibrated per role — backend, frontend, platform, mobile, security, product. Every score point cites a CV quote for defensible review.
Do you handle senior and staff-level roles?
Yes. Staff, principal and engineering leadership rubrics weight architecture, scope and cross-team delivery over tooling breadth.
Can you match a specific stack?
The exact stack is mapped in intake — languages, frameworks, cloud, data — and scored for production use. Adjacent stacks are flagged separately.
How do you handle remote vs hybrid vs on-site?
Location model is a first-class intake field and a hard filter on the shortlist. Time-zone requirements are captured explicitly.
How does evidence validation work?
Every CV is parsed for the role's technical claims. The exact CV line supporting each claim is quoted back for review.
Technology
Hiring for a tech team?
Submit the role in our guided intake — draft saving is on, and your workspace is ready as soon as you finish.
- 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.