Staff Backend Engineer

Staff Backend Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Parser Limited

At a Glance

  • Tasks: Build high-quality Java software and shape innovative architecture from the ground up.
  • Company: Join a forward-thinking tech company focused on event-based communications and DevOps.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team culture that values curiosity and collaboration.
  • Why this job: Be part of a greenfield project and influence the future of technology.
  • Qualifications: 6+ years in software engineering with strong Java skills and a passion for problem-solving.

The predicted salary is between 60000 - 80000 £ per year.

About Parser

At Parser, we're looking for a Senior Java Engineer who's excited about event-based customer communications technology, data, and Dev Ops.

This is a rare chance to get in on a greenfield project right from the start — your ideas on architecture and technical direction will genuinely shape what we build.

You'll be joining a team that values curiosity, collaboration, and giving people room to grow.

Role Overview

We believe in owning what we build, end to end.

You'll be part of a team that embraces Dev Ops, practising continuous integration, delivery, and support so our code stays healthy in production and beyond.

Things will naturally evolve as the business grows, but heres 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.

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) 4bb 0— bonus points if you also enjoy JS or Type Script
  • 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: Postgre SQL for structured data, plus No SQL databases like Couch DB, Mongo DB, or Cassandra when the use case calls for it
  • Monitoring & alerting: Splunk, x Matters, New Relic etc.
  • VCS: Git Hub
  • 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., Git Hub 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.

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
  • #J-18808-Ljbffr

Staff Backend Engineer employer: Parser Limited

Parser is an exceptional employer that offers a dynamic and inclusive work environment, where employees can take ownership of their projects and collaborate with top-tier specialists in a multicultural setting. With a focus on continuous learning and professional growth, Parser provides competitive compensation, flexible working arrangements, and the opportunity to be part of a rapidly growing company that is redefining software product development. Join us in London or Madrid to make a meaningful impact in the tech industry while enjoying a supportive and agile workplace culture.

Parser Limited

Contact Details:

Parser Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Backend Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Parser Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Parser Limited.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Parser Limited.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Parser Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Staff Backend Engineer

Java 21
Spring Boot
Microsoft Azure
Terraform
CI/CD best practices
Microservices architecture
Apache Kafka

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Parser Limited.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Parser Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Parser Limited

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Parser Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.