UK

United Kingdom · Technology and data · Lead (8-12 years)

Staff Cloud Engineer / SRE

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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As a Staff Cloud Engineer / SRE, a good place to start on Prompt Engineering & LLM Integration for Ops is Planning Automation Across a Department, a free Future Fluency module at Level 5. You'd practise working out what in your department's work could be automated, what should not be, and what to recommend.

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  • Experience bandLead (8-12 years)
  • Direct reports3-8 reports
  • Reports toCloud Operations Manager
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Lead Cloud Operations Engineer · Principal Cloud Operations Engineer · Senior Site Reliability Engineer

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

EAL Level 2 Certificate In Engineering Technologies Excellence, Achievement & Learning Limited · Level 2 · covers 2 of 12 standards
EAL Level 2 Diploma In Engineering Technologies Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 12 standards
EAL Level 2 Certificate in Engineering Operations (Knowledge) Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 12 standards
EAL Level 2 First Certificate in Engineering Technology Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 12 standards
EAL Level 2 Diploma in Engineering Operations (Knowledge) Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 12 standards
EAL Level 2 First Diploma in Engineering Technology Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 12 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Leading a team in Engineering EAL Level 2 Certificate In Engineering Technologies

The future skills this job leans on

AI Fluency working with AI as a thinking partner
AI Governance Fluency using AI responsibly
Automation Fluency building AI into how work runs
Systems Fluency seeing the whole picture

2AI and this work

Will AI change your work as a Staff Cloud Engineer / SRE?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration for Ops
  • Advanced FinOps & Cost Governance
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Staff Cloud Engineer / SRE plan as you set up, starting with the free Automation Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

A Staff Cloud Engineer / SRE designs and builds systems that keep cloud infrastructure reliable and prevents outages before they happen.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

AWS (EC2, S3, CloudWatch, IAM, RDS, EKS, Lambda, VPC) Expert

Designing and deploying complex, multi-service architectures; configuring advanced monitoring and alerting; writing granular IAM policies; optimising resource usage; debugging deep-seated issues across various AWS services.

Azure (VMs, Blob Storage, Monitor, AKS, Functions, VNET) Advanced

Architecting and deploying solutions on Azure; configuring Azure Monitor for critical applications; managing AKS clusters; optimising Azure resources for cost and performance.

GCP (Compute Engine, GCS, Cloud Monitoring, GKE, Cloud Functions) Advanced

Designing and deploying solutions on GCP; configuring Cloud Monitoring for critical applications; managing GKE clusters; optimising GCP resources.

Datadog / Prometheus & Grafana Expert

Designing and building advanced dashboards; configuring complex synthetic tests and monitors; tuning alert thresholds to reduce noise; integrating custom metrics and logs; using these platforms for capacity planning and cost analysis.

Terraform Expert

Writing new, reusable Terraform modules; designing and implementing complex infrastructure deployments; managing Terraform state; setting up and enforcing IaC standards and best practices for the team.

Ansible Advanced

Developing idempotent Ansible roles and playbooks from scratch for configuration management and automation; integrating Ansible into CI/CD pipelines for deployment and patching.

Bash / PowerShell Expert

Authoring complex shell scripts to automate multi-step operational processes; performing advanced system diagnostics and troubleshooting; creating robust automation for CI/CD pipelines.

Docker & Kubernetes (kubectl, Helm) Expert

Designing Dockerfiles for optimal image size and security; writing complex Kubernetes manifests (Deployments, Services, Ingress, StatefulSets); debugging advanced Kubernetes issues; managing Helm charts for application deployments; architecting Kubernetes cluster configurations.

GitLab CI / Jenkins Advanced

Designing and optimising CI/CD pipelines for infrastructure and application deployments; debugging complex pipeline failures; implementing advanced deployment strategies like canary releases and blue/green deployments.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Infrastructure Architecture Design Proposes minor changes to existing architecture, reviewed by Senior Engineer. Designs components within an existing architecture, reviewed by Senior Engineer or Lead. Designs new features or small systems, with significant input from Lead. Technical decisions within project scope.
Tool & Technology Selection Suggests tools for specific tasks, approved by Senior Engineer. Evaluates and recommends tools for specific problems, approved by Senior Engineer or Lead. Selects tools within established guidelines for their projects. Technical decisions within scope.
Incident Response Strategy Follows runbooks, escalates to on-call Senior/Lead. Executes runbooks for known issues, makes routine decisions to restore service. Leads P2/P3 incidents, makes technical decisions to resolve issues, escalates P1s.
Team Hiring & Performance Participates in peer interviews. Conducts technical interviews, provides feedback. Conducts technical interviews, provides detailed feedback, mentors new hires.
Budget Allocation (Operational) Reports on resource consumption. Identifies cost-saving opportunities. Proposes cost optimisations for their projects (£1K-£5K impact).

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Mean Time To Recovery (MTTR) for Owned Services
How quickly we get a critical service back online after an incident, specifically for the services you and your team are responsible for.
Target · Drive a 25% reduction in MTTR for your key services over 6 months.

If a service you own typically takes 60 minutes to recover, you'd aim to get that down to 45 minutes by implementing better runbooks, automation, or monitoring.

Toil Reduction for Your Team
The amount of repetitive, manual operational work that your team eliminates through automation or process improvements.
Target · Automate away >5 hours per week of manual tasks for each engineer in your team.

If your team spends 10 hours a week on manual certificate renewals, you'd aim to automate 5 hours of that, freeing up time for more impactful work.

Alert Signal-to-Noise Ratio
The percentage of alerts that are genuinely actionable and require human intervention, versus those that are just noise.
Target · Reduce non-actionable alerts by 50% across your owned services.

If your service generates 100 alerts a week, and 70 of them are false positives or non-critical, you'd aim to get that down to 35 non-actionable alerts.

Cloud Cost Optimisation for Owned Services
Identifying and implementing ways to reduce our cloud spend without compromising performance or reliability.
Target · Achieve a 10-15% cost reduction for your primary services annually.

Moving a specific workload from on-demand EC2 instances to reserved instances, or identifying and shutting down idle development environments, saving £2,000 per month.

Architectural Robustness & Resilience
How well your designs and implementations improve the overall stability and fault tolerance of our systems.
  • Reduced incidence of specific failure modes
  • successful disaster recovery drills
  • positive feedback from development teams on system stability
  • clear, well-documented architectural decisions.
Mentorship & Team Development
Your ability to guide, teach, and uplift the engineers in your team, helping them grow their technical skills and operational maturity.
  • Junior engineers taking on more complex tasks
  • positive feedback in 1:1s and performance reviews
  • successful delegation of significant work
  • team members actively seeking your advice and guidance.
Incident Leadership & Postmortem Quality
Your effectiveness in leading critical incidents, making sound decisions under pressure, and driving thorough, blameless postmortems.
  • Swift resolution of P1/P2 incidents you lead
  • comprehensive, actionable postmortem reports
  • identified root causes leading to preventative measures
  • calm and clear communication during incidents.
Documentation & Knowledge Sharing
The clarity, completeness, and maintainability of the documentation and runbooks you and your team produce.
  • New team members can effectively use your documentation
  • reduced questions about common procedures
  • up-to-date Confluence pages
  • successful handovers of new systems.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Building Resilient Systems

You get a real kick out of designing and implementing infrastructure that just *works*, even under extreme load or unexpected failures. You'll spend your days architecting fault-tolerant solutions, writing robust IaC, and building self-healing systems.

Spending a week designing and implementing a new multi-region disaster recovery plan, then seeing it pass a rigorous test with zero downtime.

Solving Complex Technical Puzzles

You thrive on debugging obscure issues that span multiple cloud services, identifying subtle performance bottlenecks, or figuring out how to automate a truly gnarly manual process. The harder the problem, the more engaged you are.

Spending a day tracing a mysterious latency spike through multiple microservices and cloud components, finally identifying a misconfigured load balancer, and fixing it with a single Terraform change.

What frustrates people
  • The 3 AM page for a 'critical' alert that turns out to be a misconfigured test environment, or worse, a false positive you've been trying to get rid of for months.
  • Cleaning up after 'cowboy coders' who make manual changes in the production console, creating drift and breaking your Terraform plans. It's like finding a needle in a haystack, but the needle is on fire.
  • Being the last line of defence for bad code. You don't write the bugs, but you're the one awake all night dealing with the fallout from the buggy release.
  • The endless battle against toil. You have a list of 20 things you want to automate, but you're buried under a mountain of password reset and access request tickets that your team could handle if only you had more capacity.
  • 'It works on my machine.' The classic developer response that dismisses environmental differences you have to debug across multiple environments.
  • Inheriting a 'black box' system with zero documentation and being expected to support it when it inevitably breaks. It's like being asked to fix a car you've never seen before, in the dark, with no tools.
  • The political pressure during a postmortem to gloss over a root cause because it might embarrass another team or senior leader. You'll need to stand your ground for the sake of true learning and prevention.
What this role does not give you
  • A purely greenfield environment with no legacy systems to maintain.
  • Predictable 9-to-5 work with no on-call rotations or urgent issues.
  • A role where you only build new features and never have to fix anything.
  • Complete isolation from other teams; you'll be collaborating constantly.

8Who you work with

Your work directly shapes the reliability, scalability, and efficiency of our entire cloud infrastructure. You'll prevent major outages, reduce operational costs, and enable faster, safer software deployments. Frankly, you're a cornerstone of our technical stability and growth.

Inside the business
  • Cloud Operations Manager (your direct boss)
  • Peer Lead Engineers (across Development, Security, and Data teams)
  • Product Owners (to understand service requirements)
  • Engineering Managers (to align on team priorities and resourcing)
  • Security Team (for compliance and threat modelling)
Outside the business
  • Cloud Providers (AWS, Azure, GCP support teams)
  • Key Software Vendors (for observability, IaC tools)
  • Industry SRE/Cloud Operations communities (for best practices)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven experience (5+ years) as a Senior Cloud Operations Engineer or SRE, demonstrating leadership in incident response and automation.
  • Deep expertise in at least one major cloud provider (AWS, Azure, or GCP) and strong familiarity with another.
  • A solid track record of designing, implementing, and maintaining critical production infrastructure using IaC (Terraform, Ansible).
  • Extensive experience with containerisation and orchestration technologies (Docker, Kubernetes).
  • Demonstrable ability to lead technical discussions, mentor junior engineers, and drive consensus on architectural decisions.
  • Strong scripting skills in Bash, Python, or PowerShell for automation and tooling.
  • Experience leading blameless postmortems and driving systemic improvements based on incident learnings.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Kubernetes Operations & Architecture

Kubernetes is foundational, but managing it at scale, securely, and cost-effectively requires deep expertise. You'll be moving beyond `kubectl` commands to understanding the underlying control plane and extending its capabilities.

Custom Resource Definitions (CRDs) & Operators · Service Mesh (e.g., Istio, Linkerd) · Kubernetes Security & Policy Enforcement (e.g., OPA Gatekeeper) · Cost Optimisation for Kubernetes (e.g., KubeCost, vertical/horizontal pod autoscalers)

  • This week: Deep-dive into the official Kubernetes documentation on CRDs and Operators.
  • This month: Experiment with deploying a service mesh in a test cluster and understanding its traffic management capabilities.
  • Month 2: Implement a basic OPA Gatekeeper policy in a development cluster to enforce a security standard.
  • Month 3: Lead a project to optimise resource requests and limits for a critical application running on Kubernetes.

Quick win: Review the resource requests and limits for your team's top 3 Kubernetes deployments and suggest optimisations based on actual usage data.

Distributed Tracing & Advanced Observability

As our microservices architecture grows, understanding the flow of requests across dozens of services becomes impossible without robust tracing. Moving beyond basic metrics and logs to full end-to-end visibility is crucial for fast debugging and performance optimisation.

OpenTelemetry Implementation · Service Level Objectives (SLOs) & Error Budgets · AIOps for Anomaly Detection · Performance Profiling in Production

  • This week: Research OpenTelemetry and its benefits for distributed tracing.
  • This month: Work with a development team to implement OpenTelemetry instrumentation for a new microservice.
  • Month 2: Design and implement a new SLO for a critical service, defining its error budget and how we'll track it.
  • Month 3: Explore how our existing observability platforms can be used for advanced performance profiling.

Quick win: Ensure all new services have basic logging and metrics configured from day one, and advocate for consistent naming conventions.

11Staying current once you are in

What people here do to keep up
  • Actively participate in open-source projects related to cloud infrastructure, SRE, or automation. Contributing to these communities is a great way to learn and share knowledge.
  • Attend industry conferences (e.g., KubeCon, AWS re:Invent, SREcon) and local meetups. Networking and learning from peers is invaluable.
  • Dedicate regular time (e.g., 10% of your week) to self-directed learning and experimentation with new cloud technologies or automation frameworks.
  • Present on technical topics internally (e.g., lunch-and-learns) or externally (meetups, blogs). Teaching is a fantastic way to solidify your own understanding.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration for Ops

Critical within 6 months—this is already happening, not future. Competitors are already using Large Language Models (LLMs) to draft incident summaries in minutes, generate complex CLI commands, or even suggest remediation steps. Engineers who figure this out will outproduce peers 3:1 and automate tasks that used to take hours.

  • Context Windows & Token Limits
  • RAG (Retrieval Augmented Generation) Architectures
  • Output Validation & Hallucination Detection
  • Prompt Chaining for Complex Tasks

Advanced FinOps & Cost Governance

Important within 12 months. As cloud spend continues to grow, the ability to deeply optimise costs without sacrificing performance or reliability is becoming a core SRE skill. It's not just about turning things off; it's about architectural decisions that drive efficiency.

  • Unit Economics of Cloud Resources
  • Advanced Reserved Instance/Savings Plan Strategies
  • Cost Anomaly Detection & Remediation
  • Chargeback/Showback Models

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • ITIL Foundations & DevOps Principles
  • Incident Management & Triage Leadership
  • Root Cause Analysis (RCA) & Problem Management
  • Infrastructure as Code (IaC) Principles & Design
  • Cloud Cost Management (FinOps Strategy)
  • System Monitoring & Alerting Philosophy (Design)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    From Senior Cloud Operations Engineer (Internal)

    3-5 years as a Senior Engineer

    Skills to master

    • Leading P1 incidents, designing significant automation projects, mentoring junior team members, and taking full ownership of a major service's reliability.

    You're ready to move on when

    • Consistently leading complex technical projects to successful completion.
    • Demonstrating strong technical leadership during incidents and postmortems.
    • Proactively identifying and solving systemic problems, not just symptoms.
    • Receiving consistent positive feedback on mentorship and technical guidance from junior colleagues.
  2. 2

    From Site Reliability Engineer (External)

    8-12 years in SRE/Cloud Engineering roles at other companies

    Skills to master

    • Deep expertise in a specific cloud domain (e.g., Kubernetes, Observability), a strong track record of driving reliability improvements, and experience with large-scale distributed systems.

    You're ready to move on when

    • Portfolio of significant reliability engineering projects and architectural contributions.
    • Ability to articulate complex SRE principles and their practical application.
    • Experience leading cross-functional initiatives to improve system stability.
    • Strong references highlighting technical leadership and problem-solving abilities.

15Where this role leads

The long view: This role can lead to Head of SRE or Director of Cloud Operations, overseeing reliability across an organisation. It can also lead to broader technical leadership roles such as VP of Technical Operations or CTO.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Staff Cloud Engineer / SRE is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • Cloud Operations Manager (L5)
  • Principal Site Reliability Engineer (L5 - Individual Contributor)

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Leading a team in Engineering, worked against Staff Cloud Engineer / SRE.

Leading a team in Engineering Level 2

Applied to your work in Staff Cloud Engineer / SRE

The objective of this unit is to equip learners with an understanding of the roles, responsibilities, knowledge, and skills required to effectively lead a team in an engineering environment. Learners will explore how to manage team workloads, allocate tasks, and contribute to achieving team goals through effective leadership practices.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Staff Cloud Engineer / SRE
  • ITIL Foundations & DevOps Principles
  • Incident Management & Triage Leadership
  • Root Cause Analysis (RCA) & Problem Management
  • Infrastructure as Code (IaC) Principles & Design
  • Cloud Cost Management (FinOps Strategy)
  • System Monitoring & Alerting Philosophy (Design)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Staff Cloud Engineer / SRE is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Cloud Operations Manager (L5)

    3-5 years as a Staff Cloud Engineer / SRE

    This is a leadership path, focusing on managing people, setting team strategy, and owning the overall delivery of a cloud operations function.

    • Vendor Management & Negotiation Evaluating and selecting third-party tools and services.
    • Budget & Financial Management Owning a departmental budget (£500K-£2M).
    • Recruitment & Talent Acquisition Building and scaling a high-performing team.
    • Risk Management & Compliance Ensuring the team's operations meet regulatory and security standards.

  2. Principal Site Reliability Engineer (L5 - Individual Contributor)

    3-5 years as a Staff Cloud Engineer / SRE

    This is a deep technical individual contributor path, focusing on becoming the ultimate technical authority and architect for critical, complex domains.

    • Advanced Distributed Systems Design Architecting highly resilient, globally distributed systems.
    • Performance Engineering & Optimisation Deep-diving into system performance at an extreme scale.
    • Security Architecture Designing and implementing advanced security controls for cloud environments.
    • Strategic Technology Evaluation Assessing new technologies for their strategic fit and long-term impact on the organisation.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of a Staff Cloud Engineer's time can be swallowed by repetitive tasks, debugging, and documentation. But what if you could offload a significant portion of that to AI? We're not talking about replacing you; we're talking about giving you a superpower.

At Zavmo, we're actively integrating AI tools into our Cloud Operations workflows. For a Staff Cloud Engineer, this means less time on the mundane and more time on the strategic work you actually want to do: designing robust systems, mentoring your team, and solving the really hard problems. Think of AI as your personal, tireless assistant.

Automated Runbook Orchestration

Imagine an AI interpreting a complex alert (e.g., 'Database connection pool exhausted on service X'), finding the exact runbook, and then orchestrating the initial diagnostic and remediation steps across multiple cloud services automatically. It only pages you if the automated fix fails, giving you a head start on debugging.

Predictive Anomaly Detection & Prevention

AI analyses thousands of metrics across our infrastructure, learning what 'normal' looks like. It can then flag subtle, multi-variate anomalies (e.g., 'response latency slightly up, CPU slightly down, I/O slightly up') that signal an impending problem hours before traditional thresholds would fire. This lets you prevent outages, not just react to them.

AI-Assisted Postmortems & RCA

After an incident, AI tools can ingest all the data—Slack conversations, Jira ticket history, Datadog graphs, deployment logs—and generate a comprehensive first-draft of the incident timeline, summary, and even suggested root causes. This cuts down documentation overhead by hours, letting you focus on the actual preventative actions.

Natural Language Infrastructure Query & Generation

Instead of spending time crafting complex Terraform code or intricate `kubectl` commands, you can simply ask an AI: 'Show me all EC2 instances in production not part of an auto-scaling group and running for more than 60 days.' The AI translates this to the necessary code, executes it, and returns the results, or even generates the Terraform for a new resource.

Common questions

Common questions

How do you become a Staff Cloud Engineer / SRE?

Common routes in include From Senior Cloud Operations Engineer (Internal) (3-5 years as a Senior Engineer) and From Site Reliability Engineer (External) (8-12 years in SRE/Cloud Engineering roles at other companies). Times vary with prior experience.

Where can a Staff Cloud Engineer / SRE progress to?

This role can lead on to Cloud Operations Manager (3-5 years as a Staff Cloud Engineer / SRE) and Principal Site Reliability Engineer (3-5 years as a Staff Cloud Engineer / SRE), depending on the skills you build.

What new skills matter most for a Staff Cloud Engineer / SRE?

Increasingly, Prompt Engineering & LLM Integration for Ops and Advanced FinOps & Cost Governance. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in technology and data

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills involved transfer across most industries that rely on cloud infrastructure, including FinTech, HealthTech, e-commerce, gaming and government. Cloud engineers and SREs are needed wherever systems must stay reliable.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free Automation Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.