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Physical industries like energy, utilities, and infrastructure underpin our economy and daily lives. Yet many of the organizations responsible for them are constrained by fragmented processes, fragile legacy systems, and decades-old ways of working.
These organizations must manage aging assets, deliver major infrastructure programs, meet tighter standards, and keep essential services running. Cogna helps them solve the operational problems that slow this work down. Our AI platform captures the context behind complex workflows and turns it into AI-native applications that help teams work faster, more accurately, and more reliably.
Since our launch in May 2023, we've seen very strong customer traction and revenue growth. We're backed by leading VCs, including Notion Capital and Hoxton Ventures, and we're building a world-class team to take on one of the most important challenges of our time. We're a team of around 80 today, on a path to Series B and scaling towards 150.
Making an impact at this scale takes people who are curious, adaptable, and motivated by purpose. If our mission resonates with you, we encourage you to apply, even if your experience doesn't match every requirement. We are committed to building a diverse team that reflects the industries and societies we serve.
Overview
We're hiring a Platform Engineer to help design, build, and maintain the foundation our teams rely on every day. You'll join our Platform team, which supports security, core infrastructure, and DevX across Cogna. Your focus will be shaping the internal platform and cloud architecture that powers all engineering teams and underpins our product.
We treat the platform as an internal product: defining APIs, abstractions, and guardrails that let teams ship quickly and safely. This role is ideal for someone who thrives on solving platform-wide challenges, enjoys working cross-functionally, and is passionate about clean, resilient cloud infrastructure.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll do
- Design and evolve our cloud infrastructure and internal platform (primarily Azure/Kubernetes-based), including service-to-service communication and workflow orchestration layers (e.g. gRPC, Temporal, Dagster) that power product delivery
- Make architectural decisions that shape how Cogna builds and operates software
- Work within and contribute to our Go/Python/TypeScript codebase
- Own and evolve our build, infrastructure-as-code, and delivery systems (e.g. Bazel, Terraform, CI/CD), optimising for scalability, hermeticity, and developer velocity
- Implement and own security controls, identity and access management systems, and network configuration policies across our Kubernetes environments
- Improve and drive observability by implementing logging, tracing, and alerting systems (e.g. Datadog)
- Partner with internal teams to improve resilience, automate toil, and reduce lead time to deployment
- Drive root cause analysis and reliability improvements from incidents
What we're looking for
- Proficient in writing maintainable, testable, and scalable code in real-world, production environments. Language fluency in Python, Typescript, or Go is a plus, but strong engineers with deep experience in comparable languages are welcome
- Strong foundational software engineering skills: Solid grasp of computer science fundamentals such as data structures, concurrency, time/space complexity and performance
- Systems-level thinking: Able to reason about distributed systems under failure, scale, and load and design resilient abstractions accordingly. Familiar with networks, operating systems, compilers, storage systems, or distributed services
- Infrastructure as Code and automation: Experience with tools like Terraform, Pulumi, or equivalent for managing cloud-native infrastructure declaratively and repeatably
- Deep operational experience with PostgreSQL in production — including performance tuning, schema evolution, multi-tenant design, and reliability under load
- Security-first mindset: Deep appreciation for secure-by-default design. Familiar with principles like least privilege, secrets management, threat modeling, and how to embed security controls into infrastructure and CI/CD pipelines
- Cross-functional collaboration: Comfortable partnering with other engineers, product managers, sales, marketing, IT and support to define and implement platform capabilities that meet shared goals
- AI assisted development: Excited about using AI-assisted development tools and interested in integrating AI into engineering workflows and platform capabilities


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What we offer
- Work alongside a high-calibre team with strong engineering standards and real ownership
- Full access to modern AI-assisted engineering tools and freedom to experiment
- Competitive salary and share option plan
- 25 days annual leave, plus public holidays
- Excellent pension scheme, company contribution fixed at 7.5%
- Private healthcare, including family cover and pre-existing conditions
- Flexible hybrid working with 2 days per fortnight in our Chancery Lane office
- Regular social events and offsites
- Access to a gym and fitness classes in our office building
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