CURIOSITY / WITH A DIRECTION

Make room
for what you could become.

Explore a vision of work where thoughtful questions, shared learning, and useful craft matter. Discover the kinds of digital paths that could shape a forward trajectory.

Explore career paths
LEARN SOMETHING. BUILD SOMETHING. SHARE SOMETHING.

No live job vacancies are listed. The paths below are illustrative, not open roles. You can submit a general application for consideration for future opportunities; this is not an application to a currently advertised vacancy.

HOW WE WOULD WANT WORK TO FEEL

Good work grows
from good questions.

The culture imagined for Trajectory values explaining a decision as much as making it. It gives people space to ask for context, challenge an assumption, and admit when something needs more investigation.

That means making feedback specific, documenting discoveries, and treating different perspectives as a design input. These are aspirations for this brand concept, not representations of current employment policies or benefits.

Read our guiding principles

MANY WAYS TO CONTRIBUTE

Find a direction to explore.

Not job descriptions or eligibility criteria. Open each path for skills, practice ideas, and possible growth.

01 / CREATE USEFUL EXPERIENCES

Digital product & experience

For people interested in connecting user needs, clear interfaces, and maintainable software.

Explore the digital product path

The work to understand

Translate an ambiguous problem into a user journey, a prototype, and small increments that can be tested. Designers and engineers would work together to make usability and accessibility part of implementation rather than a handoff.

Skills to practise

  • Interviewing without leading the participant toward a preferred answer.
  • Semantic HTML, responsive layouts, and keyboard-accessible interactions.
  • Writing acceptance criteria and explaining technical trade-offs.

A learning project

Redesign a fictional appointment-booking journey. Document the assumptions, build a local prototype, and test cancellation and error recovery as carefully as the happy path. Use synthetic information rather than real personal data.

Possible growth

Explore deeper expertise in service design, front-end engineering, or product discovery. Broader responsibility means improving how a team makes decisions, not just producing more screens.

Explore digital engineering

02 / BUILD DEPENDABLE FOUNDATIONS

Cloud & platform engineering

For people who enjoy understanding how systems fit together and making them easier to operate.

Explore the platform engineering path

The work to understand

Design repeatable environments, delivery pipelines, and operational feedback. A platform is useful when it helps other people ship changes safely and understand what is happening when something fails.

Skills to practise

  • Networking, identity, configuration, and least-privilege access.
  • Versioned infrastructure and automated checks with clear failure messages.
  • Observability, recovery exercises, and cost-aware design.

A learning project

Run a small application locally, add a health check, and rehearse restoring its data from a test backup. Write a runbook another person can follow. If exploring paid cloud services, agree a budget and cleanup plan first.

Possible growth

Develop towards platform design, reliability engineering, or operational security. Look for ways to reduce repeated manual work without hiding important decisions from the people responsible.

Explore cloud & platforms

03 / REASON FROM EVIDENCE

Data & responsible AI

For people who want to turn information into useful analysis while being honest about its limits.

Explore the data and AI path

The work to understand

Trace where data comes from, examine its quality, and design experiments that distinguish real improvement from an attractive result. Communicating uncertainty is part of the craft, not a footnote.

Skills to practise

  • Data modelling, query design, and reproducible analysis.
  • Recognising missingness, leakage, sampling bias, and misleading comparisons.
  • Evaluating AI output with domain review, privacy boundaries, and simple baselines.

A learning project

Use a synthetic service dataset to investigate a change in demand. Compare a simple rule with a more complex approach. Write down where each fails, what information is missing, and what evidence would change your conclusion.

Possible growth

Explore analytics engineering, data governance, or AI evaluation. Good judgement includes recognising when a simpler tool is easier to trust and maintain.

Explore our AI concepts

CAREERS WITH DIRECTION

Chart your career with us.

Explore specialist and leadership pathways, a practical skills portfolio, mentoring and learning shaped by real client work.

Your path is built through meaningful work, thoughtful feedback and space to keep learning.

Explore growth pathways

PRACTICE, NOT JUST POTENTIAL

A learning loop worth keeping.

  1. 01

    Choose a small question

    Set a specific learning goal and agree how you will know you understand it. A working explanation can be more useful than a long list of completed courses.

  2. 02

    Make your thinking visible

    Pair on a problem, request a focused review, and keep notes on the trade-offs. Ask for feedback on the reasoning as well as the result.

  3. 03

    Share what changed

    Show what did not work and why. Turn one lesson into a reusable example, a better checklist, or a clearer question for the next experiment.

YOUR NEXT STEP

Share your interest.

No current vacancies are listed. Use this general application to tell us what kind of future role interests you. You can use browser autofill, review your details and resume, and submit them for recruitment consideration. Please share only information you are comfortable providing.

A BUSINESS QUESTION?

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