Lead Backend Engineer (Python)

Our client is a global provider of digital identity verification, biometric authentication, fraud prevention, and image capture solutions, helping organizations deliver secure and seamless digital experiences. We are seeking a Lead / Principal Backend Software Engineer to automate and streamline the integration of new document types and machine learning models into their identity platform. This hands-on individual contributor role offers high ownership and broad impact, collaborating with ML, platform, and product stakeholders to transform complex workflows into reliable, scalable automation.

Must Have

• Replace manual onboarding with automated pipelines using CI/CD and cloud technologies
• Design, build, and deploy production-grade APIs and microservices/serverless architecture
• Own work end-to-end, ensuring scalability, security, and performance
• Automate testing and delivery through robust unit, integration, and performance test suites
• Document solutions for internal and external developers
• Partner with ML and engineering teams to integrate ML models into onboarding workflows
• Improve release quality and enable faster, safer, scalable deployments
• Collaborate cross-functionally with product managers, researchers, and operations teams
• Participate in Agile ceremonies and drive continuous improvement
• Senior level experience building and operating production backend systems
• Senior level proficiency in Python for automation, data processing, and ML pipelines
• Strong experience designing CI/CD driven, fully automated release pipelines
• Experience defining automated decision logic based on metrics or KPIs
• Practical experience integrating ML workflows into existing production systems
• Experience working with machine learning models for document analysis, computer vision
• Hands-on experience with AWS based environments
• Strong Git proficiency and disciplined code review
• Strong spoken and written English

Good to Have

• Experience improving or automating data labeling strategies
• Exposure to MLOps practices (experiment tracking, model versioning, ML specific CI/CD)
• Experience optimizing model training performance
• Familiarity with C++ based core systems or Go based production services
• Experience delivering features from user stories through to deployment in Agile environments

Perks & Benefits

• 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
• Competitive compensation package and comprehensive benefits
• Opportunities for professional development within an innovative international environment
• 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)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

About our client

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.

About the role

We 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 technologies
• Design, build, and deploy production grade APIs and services within a microservices and or serverless architecture
• Own your work end to end, from design through deployment, ensuring scalability, security, and performance
• Automate testing and delivery through robust unit, integration, and performance test suites and quality gates
• Document solutions clearly for internal stakeholders and external developers consuming public APIs
• Partner closely with ML and engineering teams to integrate existing ML models and services into onboarding workflows
• Improve release quality and enable faster, safer, and more scalable deployments through automation and testing
• Collaborate cross functionally with product managers, researchers, and operations teams to translate ideas into production ready features
• Participate in Agile ceremonies (stand ups, planning, retrospectives) and help drive continuous improvement

Required skills and experience

• 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

What we offer

• 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