Home › Companies › Parser › Senior Backend Engineer (Python + MLOps)
Senior Backend Engineer (Python + MLOps)
Parser · Madrid, Madrid, 28036, Spain · Hybrid · Deleted · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Parser |
| Title | Senior Backend Engineer (Python + MLOps) |
| Normalized title | - |
| Department / team | - |
| Location | Madrid, Madrid |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | BambooHR |
| Posted / first seen | 2025-09-16 / 2026-05-30 |
| Changed / last seen | 2026-06-12 / 2026-06-10 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Parser. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Madrid. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Parser |
| Source | cb9806e2-74a4-4732-9d91-b10f9f880838 |
| ATS provider | BambooHR |
Description
We are seeking a Senior Backend Engineer with strong MLOps expertise to join the Machine L earning Engineering team of a global leader in the travel industry. In this role, you will help design, build, and maintain the infrastructure that powers our ML solutions managing data pipelines, streamlining model deployment, and optimizing compute resources.
You’ll work on high-impact systems such as ranking, recommendation, and pricing optimization, while collaborating closely with data scientists to integrate models into production.
Key Responsibilities
Design and implement scalable ML infrastructure for training, deployment, and serving in
batch and real-time environments.
Build and maintain efficient data pipelines for large-scale processing and feature engineering.
Optimize compute resources and improve model serving performance across ML systems.
Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops
practices including CI/CD pipelines.
Collaborate closely with Data scientists to streamline the model development-to-production workflow.
Research and integrate new technologies, mentor junior engineers, and communicate
technical solutions to diverse stakeholders.
Qualifications
Bachelor´s or Master´s degree in Computer Science, Software Engineering, or a related technical field.
6-7 years of experience in Software, Data, or ML engineering roles (preferred).
Strong problem-solving skills, proficiency in Java and desirable Python.
Understanding of ML algorithms, model architectures, and experience building scalable,
reliable ML systems.
Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data
systems (e.g., Spark, Kafka).
Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g.,
MLflow), and ability to collaborate well across teams.
Ideal Candidate
This role is well-suited to someone with a solid foundation in at least one of the following areas:software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. We welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems.
Location
Madrid: Hybrid work model with an expected office presence of 3 days per week.
Some of the benefits you'll enjoy working with us:
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.
How to Apply
If you believe you can do the job and are excited to grow with us, we'd love to hear from you. Please submit your application through our careers page.
Come and join our #ParserCommunity.
Follow us on Linkedin
Full job record
| Job ID | 6d168bde74f0ba4f467777c8016f8b356a232692 |
| Org ID | f54f2d29-5037-498b-a2f7-e923ab2f0afa |
| Source ID | cb9806e2-74a4-4732-9d91-b10f9f880838 |
| Board ID | cb9806e2-74a4-4732-9d91-b10f9f880838 |
| Provider | bamboohr |
| Provider Job Key | 415 |
| Title | Senior Backend Engineer (Python + MLOps) |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Madrid, Madrid, 28036, Spain |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | — |
| Region | Madrid |
| City | Madrid |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://parser.bamboohr.com/careers/415 |
| Apply URL | https://parser.bamboohr.com/careers/415 |
| First Seen At | 2026-05-30 06:05:59Z |
| Last Seen At | 2026-06-10 10:36:40Z |
| Last Checked At | 2026-06-12 10:34:59Z |
| Last Changed At | 2026-06-12 10:34:59Z |
| Inactive At | 2026-06-12 10:34:59Z |
| Source Posted At | 2025-09-16 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=parser/date=2026-06-10/2026-06-10T10-36-36-947Z-ee5e55c28ece98b7831ea8fc4ab6d69bcbbf4c161f11532fd9d271f251fe8c90.json |
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"description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">We are seeking a Senior Backend Engineer with strong MLOps expertise to join the Machine L</span><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">earning Engineering team of a global leader in the travel industry. In this role, you will help design, build, and maintain the infrastructure that powers our ML solutions managing data pipelines, streamlining model deployment, and optimizing compute resources. </span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">You’ll work on high-impact systems such as ranking, recommendation, and pricing optimization, while collaborating closely with data scientists to integrate models into production.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt; font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Design and implement scalable ML infrastructure for training, deployment, and serving in</span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">batch and real-time environments.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Build and maintain efficient data pipelines for large-scale processing and feature engineering.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Optimize compute resources and improve model serving performance across ML systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops</span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">practices including CI/CD pipelines.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Collaborate closely with Data scientists to streamline the model development-to-production workflow.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Research and integrate new technologies, mentor junior engineers, and communicate</span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">technical solutions to diverse stakeholders.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt; font-weight: bold\">Qualifications</span><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Bachelor´s or Master´s degree in Computer Science, Software Engineering, or a related technical field.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">6-7 years of experience in Software, Data, or ML engineering roles (preferred).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Strong problem-solving skills, proficiency in Java and desirable Python.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Understanding of ML algorithms, model architectures, and experience building scalable,</span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">reliable ML systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data</span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">systems (e.g., Spark, Kafka).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g.,</span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">MLflow), and ability to collaborate well across teams.</span></li>\n</ul>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt; font-weight: bold\">Ideal Candidate</span><br></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">This role is well-suited to someone with a solid foundation in at least one of the following areas:software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. We welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt; font-weight: bold\">Location</span><br></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Madrid: Hybrid work model with an expected office presence of 3 days per week.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt; font-weight: bold\">Some of the benefits you'll enjoy working with us:</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">The opportunity to form part of an amazing, multicultural community of tech experts.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">A highly competitive compensation package.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Medical insurance.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt; font-weight: bold\">How to Apply</span><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">If you believe you can do the job and are excited to grow with us, we'd love to hear from you. 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