Adroit People Limited (UK)
Golang Engineer

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Role: Golang Engineer
Location: London, UK
Employment: Permanent
Work mode: Hybrid (3 days at client office in central London office)
Responsibilities
- Establish and enforce best practices for microservices architecture, ensuring scalability, reliability, and maintainability of our solutions.
- Collaborate with cross-functional teams to define project requirements and deliver scalable solutions.
- Mentor team members on microservices design principles, patterns, and technologies.
- Take personal responsibility for creating and maintaining microservices, primarily in Golang.
- Iterate design and build to solve bugs, improve performance, and add new features.
- Containerise your services and make ready for deployment onto a k8s environment using helm charts.
- Ensure resilience and reliability of services.
- Develop a complete understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code.
- Write tests with high coverage including unit, contract, e2e, and integration.
- Version control code with git and build, test, and deploy using CI/CD pipelines.
- Build and test remotely on your own machine and deploy to low-level environments.
- Review team members code, identifying errors and improving performance and readability. Drive code design and process trade-off discussions within team when required.
- Report status and manage risks within your primary application/service.
- Perform demos and join acceptance discussions with analysts, developers, and product owners.
- Assist in task planning and review as part of a sprint-based workflow.
- Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements.
- Own feature engineering within the team, collaborating with a separate data science to understand and implement their requirements.
- Bridge the gap between architecture and engineering, work alongside product architects to align with software design.
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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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.
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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About You


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- First and foremost, you enjoy building products to solve real, pressing problems for your customers. You enjoy working in a team and have an interest in data science and how advanced algorithms may be deployed as product offerings.
- You are detail-oriented and enjoy writing and reviewing code to a high standard with tests to prove it.
- Demonstrable ability to write high-quality Python/Golang and SQL in a production context. You are happy to learn new programming languages and frameworks as necessary.
- Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes.
- You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and in-memory/NoSQL stores.
- You have experience in resolving different solutions and approaches to problems and can choose between pragmatic and rigorous solutions depending on the situation.
- You are comfortable working in a devops-based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to evolve along with the development process and contribute to its success.
- You are comfortable communicating with a range of stakeholders, including subject matter experts, data scientists, software engineers, devops, and security professionals.
- You have the ability to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale-up stage software engineering.
- You have experience optimizing solution performance with a constrained set of technologies.
- You have experience or are keen to engage with productionising machine learning technologies combined with large-scale feature engineering.
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