We are seeking a Python Technical Lead to shape and deliver a Modeling-as-a-Service platform that standardizes the lifecycle of financial models from development to monitoring. You will lead a team building distributed backend services and REST APIs in a restricted Azure environment.ResponsibilitiesLead the architecture, design, development, and deployment of backend platform capabilities in a restricted greenfield Azure environmentDesign and implement REST APIs to deploy and query deterministic and predictive financial modelsBuild backend services using Python with FastAPI and Pydantic to support model packaging and executionDefine standards and guidelines for model packaging, MLflow integration, deployment patterns, and API designLeverage Azure Databricks and MLflow to enable model hosting, lifecycle management, and deployment workflowsDrive CI/CD automation using GitLab and embed DevOps practices across the development lifecycleEstablish best practices for code quality, testing strategy, observability, and maintainabilityLead and mentor a team of 5+ engineers and support collaborative technical decision-makingCollaborate with architects, engineers, and stakeholders to translate business and technical requirements into scalable solutionsRequirements7+ years of professional experience in software or data engineering2+ years of technical leadership experience leading engineering teamsStrong Python expertise including async programming, multithreading, exception handling, and REST API developmentHands-on FastAPI and Pydantic experience building production servicesStrong Microsoft Azure experience with Azure Databricks, Azure App Service, and IAM/RBACStrong CI/CD knowledge with GitLab and modern DevOps practicesPractical Docker and Kubernetes experience for containerized deploymentsSolid distributed systems knowledge and API design skillsStrong problem-solving skills and system design skillsExcellent communication skills and stakeholder management skills in technical discussionsAgile development experience in cross-functional delivery teamsEnglish proficiency: B2 Upper-Intermediate (CEFR) or higher with strong spoken communicationNice to haveExperience with financial models, ML platforms, or model-serving solutionsExperience designing Modeling-as-a-Service (MaaS) or similar platform architecturesFamiliarity with machine learning model deployment and monitoring approachesExperience delivering in enterprise environments with strict security and access-control requirementsWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.