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HomeCompaniesParserSenior Backend Engineer (Python + MLOps)

Senior Backend Engineer (Python + MLOps)

Parser · Madrid, Madrid, 28036, Spain · Hybrid · Deleted · BambooHR

Job facts

FieldValue
CompanyParser
TitleSenior Backend Engineer (Python + MLOps)
Normalized title-
Department / team-
LocationMadrid, Madrid
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusdeleted
ATS providerBambooHR
Posted / first seen2025-09-16 / 2026-05-30
Changed / last seen2026-06-12 / 2026-06-10

Related slices

PageWhat it containsOpen
Company jobsActive postings from Parser.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Madrid.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyParser
Sourcecb9806e2-74a4-4732-9d91-b10f9f880838
ATS providerBambooHR

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 ID6d168bde74f0ba4f467777c8016f8b356a232692
Org IDf54f2d29-5037-498b-a2f7-e923ab2f0afa
Source IDcb9806e2-74a4-4732-9d91-b10f9f880838
Board IDcb9806e2-74a4-4732-9d91-b10f9f880838
Providerbamboohr
Provider Job Key415
TitleSenior Backend Engineer (Python + MLOps)
Normalized Title
Statusdeleted
Activeno
Location TextMadrid, Madrid, 28036, Spain
Department
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
RegionMadrid
CityMadrid
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://parser.bamboohr.com/careers/415
Apply URLhttps://parser.bamboohr.com/careers/415
First Seen At2026-05-30 06:05:59Z
Last Seen At2026-06-10 10:36:40Z
Last Checked At2026-06-12 10:34:59Z
Last Changed At2026-06-12 10:34:59Z
Inactive At2026-06-12 10:34:59Z
Source Posted At2025-09-16 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=parser/date=2026-06-10/2026-06-10T10-36-36-947Z-ee5e55c28ece98b7831ea8fc4ab6d69bcbbf4c161f11532fd9d271f251fe8c90.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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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. Please submit your application through our careers page.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Come and join our #ParserCommunity. </span><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Follow us on Linkedin</span></p>",
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}
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