Lead Backend Engineer (Python)

About our clientOur client is a global provider of digital identity verification, biometric authentication, fraud prevention, and image capture solutions. Their platform helps organizations deliver secure and seamless digital experiences at scale, using modern computer vision and machine learning capabilities.About the roleWe are looking for a Lead / Principal Backend Software Engineer to help automate and streamline the process of bringing new document types and machine learning models into a document verification and identity platform. This is a hands-on individual contributor role with high ownership and broad impact, working closely with ML, platform, and product stakeholders to turn complex workflows into reliable, scalable automation.What will you do?Replace manual, slow onboarding processes with automated, reliable pipelines using modern CI/CD and cloud technologiesDesign, build, and deploy production grade APIs and services within a microservices and or serverless architectureOwn your work end to end, from design through deployment, ensuring scalability, security, and performanceAutomate testing and delivery through robust unit, integration, and performance test suites and quality gatesDocument solutions clearly for internal stakeholders and external developers consuming public APIsPartner closely with ML and engineering teams to integrate existing ML models and services into onboarding workflowsImprove release quality and enable faster, safer, and more scalable deployments through automation and testingCollaborate cross functionally with product managers, researchers, and operations teams to translate ideas into production ready featuresParticipate in Agile ceremonies (stand ups, planning, retrospectives) and help drive continuous improvementRequired skills and experienceBachelor’s degree in Computer Science (or equivalent practical experience)Demonstrated senior level experience building and operating production backend systemsSenior level proficiency in Python, especially for automation, data processing, and ML related pipelinesStrong experience designing CI/CD driven, fully automated release pipelines with integrated testing and quality gatesExperience defining automated decision logic based on metrics or KPIs to support fully automated onboarding or release flowsPractical experience integrating ML workflows into existing production systemsExperience working with existing machine learning models for document analysis, computer vision, or similar unstructured data problems (evaluation, configuration, adaptation)Hands on experience with AWS based environments, including scalability, reliability, and cost considerationsStrong Git proficiency and a disciplined approach to code review and collaborationStrong spoken and written EnglishNice to haveExperience improving or automating data labeling strategies, including semi supervised or active learning approachesExposure to MLOps practices (experiment tracking, model versioning, ML specific CI/CD patterns)Experience optimizing model training performance for concurrency, resource utilization, and cost efficiencyFamiliarity with C++ based core systems and or Go based production servicesExperience delivering features from user stories through to deployment in Agile environmentsWhat we offerA high impact role working on a large scale identity and document verification platformRemote friendly work modelCollaborative, international engineering environment with strong cross functional partnerships (ML, platform, product)Competitive compensation package and comprehensive benefits.Opportunities for professional development within an innovative international environment.We offer:Flexible working format - remote, office-based or flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefitsnot applicable for freelancers

Bachelor’s degree in Computer Science (or equivalent practical experience) Demonstrated senior level experience building and operating production backend systems Senior level proficiency in Python, especially for automation, data processing, and ML related pipelines Strong experience designing CI/CD driven, fully automated release pipelines with integrated testing and quality gates Experience defining automated decision logic based on metrics or KPIs to support fully automated onboarding or release flows Practical experience integrating ML workflows into existing production systems Experience working with existing machine learning models for document analysis, computer vision, or similar unstructured data problems (evaluation, configuration, adaptation) Hands on experience with AWS based environments, including scalability, reliability, and cost considerations Strong Git proficiency and a disciplined approach to code review and collaboration Strong spoken and written English Nice to have Experience improving or automating data labeling strategies, including semi supervised or active learning approaches Exposure to MLOps practices (experiment tracking, model versioning, ML specific CI/CD patterns) Experience optimizing model training performance for concurrency, resource utilization, and cost efficiency Familiarity with C++ based core systems and or Go based production services Experience delivering features from user stories through to deployment in Agile environments

A high impact role working on a large scale identity and document verification platform Remote friendly work model Collaborative, international engineering environment with strong cross functional partnerships (ML, platform, product) Competitive compensation package and comprehensive benefits. Opportunities for professional development within an innovative international environment. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers

Our client is a global provider of digital identity verification, biometric authentication, fraud prevention, and image capture solutions. Their platform helps organizations deliver secure and seamless digital experiences at scale, using modern computer vision and machine learning capabilities.