Lead Backend Engineer (Python)

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.

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.

• 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

• 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

• 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.