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Parser

Staff Backend Engineer

London
Posted 1 day ago
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Who is Parser?

Technology alone does not create impact - the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients’ teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we’d love to meet you.

Role Overview

We believe in owning what we build, end to end. You'll be part of a team that embraces DevOps, practising continuous integration, delivery, and support so our code stays healthy in production and beyond.

Things will naturally evolve as the business grows, but here's where you'll spend most of your energy:

  • Building high-quality software in Java (Spring Boot or similar frameworks) that you can be proud of.
  • Getting hands-on with Microsoft Azure and Terraform (Infrastructure as Code) — or diving in and learning as you go.
  • Championing CI/CD best practices so releases feel smooth, not stressful.
  • Keeping documentation clear and useful, so the whole team can build on your work.
  • Designing solutions that are robust, scalable, and built to last.
  • Bringing your engineering instincts to every decision, with latency, performance, and scalability as second nature.
  • Weighing up different design and coding patterns and picking the right tool for the job, not just the familiar one.
  • Taking a genuine 360-degree look at the options before making the calls that matter.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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Strong

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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Strong

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.

Key Responsibilities

Here's the toolkit you'll get to work with:

  • Languages: Java 21 is our bread and butter (or any other JVM language) — bonus points if you also enjoy JS or TypeScript
  • Frameworks: Spring Boot
  • Cloud: We mostly live in Azure and love Terraform for infrastructure as code, but we equally value people who understand how AWS, GCP and on-prem environments work
  • Architecture: Microservices
  • Messaging: Apache Kafka
  • Container Orchestration: Kubernetes
  • Databases: PostgreSQL for structured data, plus NoSQL databases like CouchDB, MongoDB, or Cassandra when the use case calls for it
  • Monitoring & alerting: Splunk, xMatters, New Relic etc.
  • VCS: GitHub
  • Looking Ahead: we're exploring Agentic AI in the SDLC, and we'd love your curiosity here
  • Zendesk & JIRA

What You'll Bring

  • A background in Computer Science, Software Engineering, or a related field — through a degree or equivalent hands-on experience.
  • Around 6-7 years of experience in Software, Data, or ML engineering roles
  • A natural talent for problem-solving, with working proficiency in Python.
  • Some familiarity with LLMs, model architectures, and MCP, and experience building scalable, reliable AI systems.
  • Good working knowledge of container orchestration, scaling strategies, networking, and resource management in Kubernetes clusters.
  • Comfortable with CI/CD tools (e.g., GitHub Actions)
  • A good sense for the pros and cons of different design patterns and coding approaches, and the confidence to choose what's right for the problem at hand.
  • Comfortable stepping back to look at a problem from every angle before committing to a decision.
  • Genuine curiosity about Agentic AI and its growing role in the Software Development Lifecycle (SDLC).
  • Warm, clear communication, whether you're talking with engineers or business stakeholders.
  • A strong aptitude for influencing technical direction and building consensus across teams.
  • Comfortable navigating disagreements and helping the team find a constructive way through.
  • Confident presenting, with the ability to make technical concepts land for varied audiences.

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You Might Be a Great Fit If...

  • You have around 6+ years of experience delivering Java
  • You've worked with Agile methodologies (Scrum/Kanban)
  • You communicate warmly and clearly, and feel comfortable influencing stakeholders, working through conflict, and presenting to varied audiences
  • You've got experience with Azure, AWS, or other cloud solutions, plus Terraform
  • You enjoy system design
  • You bring a proactive, can-do attitude.
  • You'd relish working on a greenfield project, helping define architecture and best practices from day one
  • You're genuinely curious about exploring Agentic AI within the software development lifecycle

How to Apply

Don't worry if you don't tick every single box above — if this role excites you and you think you could grow into it, we'd still love to hear from you. Please submit your application through our careers page, and someone from our team will be in touch soon.

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Skills

Java
Spring Boot
Microsoft Azure
Terraform
CI/CD
Microservices
Apache Kafka
Kubernetes
PostgreSQL
NoSQL
Python
LLMs
System Design
GitHub Actions
Agile
Agentic AI

Location

London, England, United Kingdom

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