Senior Backend Engineer (Python)

Senior Backend Engineer (Python)
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.
How will you impact?
We are looking for an experienced Python Backend Engineer to join a client delivery team working on Search with one of the largest multinational retail companies, primarily known as a supermarket chain.
The client operates in multiple countries, including the UK, Ireland, and parts of Europe and Asia, and sells groceries, clothing, electronics, and other consumer goods, both in physical stores and online. It also offers financial services, mobile phone services, and fuel stations.
You will build the backend services behind tools that help Search teams find problems, test changes and measure relevance more quickly, working alongside AI, data and DevOps engineers.
Your key responsibilities:

• Design and build Python backend services and APIs for search quality tooling, including a tool for collecting human relevance judgements

• Review and refactor the existing offline evaluation tool so that it can be deployed and run on demand in the CI/CD pipeline

• Translate product requirements into well-structured, maintainable, test-driven code

• Integrate services with the shared data platform, existing client APIs and search infrastructure

• Support AI and LLM-enabled features alongside AI engineers, including automated checks on accuracy and reliability

• Work with product, design, data science and Search colleagues to turn prototypes into production releases

• Support production systems, resolve incidents, and document decisions and trade-offs

How you’ll work

• Share work early through documentation, demonstrations and incremental pull requests

• Own deliverables within agreed architecture and engineering practices, and communicate decisions, risks and trade-offs clearly

• Work closely with Search and data science colleagues to understand how the tools are used

• Experiment quickly, test assumptions against real data and iterate using evidence

• Balance exploration with delivery, and avoid unnecessary complexity early on

• Design for reliability, clarity and adoption by the people who use the tools

• Make sensible trade-offs to deliver usable value early, and build solutions that can evolve

What you'll bring to the role:
Backend engineering:

• Strong Python skills, including building maintainable production services and REST APIs

• Experience reviewing, refactoring and productionising existing code so that it runs reliably in a pipeline

• Good testing discipline across application and data components, including test-driven development

• Understanding of clean design principles such as SOLID

Platform and delivery

• Experience with CI/CD, version control and containerisation, ideally with on-demand or temporary environments

• Experience with a major cloud platform, ideally Microsoft Azure

• Understanding of security, scalability and observability for production services

Data and integration

• Proficiency with both SQL and NoSQL databases

• Experience integrating services with data pipelines, APIs and existing applications AI awareness

• Exposure to integrating LLM-based or other AI features into backend services, including validation of model outputs

Qualifications

• 6+ years of professional experience in backend or software engineering

• Proven ability to ship iterative, user-focused solutions with appropriate attention to reliability and security

• Strong written and verbal communication skills

• A collaborative approach to multidisciplinary product delivery

Nice to have

• Experience in retail or ecommerce search, or with Elasticsearch or another production search platform

• Familiarity with offline evaluation, A/B testing or ranking metrics such as nDCG

• Experience with event streaming (for example Kafka) or medallion-style data pipelines

• Experience building internal tools for rating or annotation

Location: Spain, flexible remote work
You will receive:

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.

• The opportunity to form part of an amazing, multicultural community of tech experts.

• A highly competitive compensation package.

• Medical insurance.

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.
If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.
By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser’s Privacy Notice for recruitment purposes.
Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight
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Originally posted on Himalayas