Python Azure Solution Architect

EPAM Systems; Turkey; On-site; TRY 5,994,000 - 8,991,000; Full time

Benefits offered by this job

Continuous learning

English courses

Private health insurance

Well-being events

Job summary

EPAM Systems Inc in Turkey seeks a hands-on Python Azure Solution Architect to lead backend engineering for a greenfield MaaS platform built on Microsoft Azure. You will guide a 5+ engineer team, shape scalable backend services, and deliver RESTful APIs to deploy and interact with financial models.

You will set technical standards, build CI/CD pipelines with GitLab, mentor engineers, and collaborate with stakeholders in an Agile environment.

Qualifications

• 8+ years in software or data engineering, with at least 2 years in technical leadership.

Responsibilities

• Drive the technical design and development of backend components for the MaaS platform within a secure Azure environment.
• Design and develop RESTful APIs for deploying, managing, and querying financial models.
• Develop scalable backend solutions using Python, FastAPI, and Pydantic.
• Use Azure Databricks and MLflow-based approaches to support model deployment and serving.
• Define technical standards for model packaging, deployment workflows, MLflow integration, and API interfaces.
• Establish development practices that ensure high standards of code quality, testing, reliability, and maintainability.
• Build and improve CI/CD pipelines with GitLab, supporting automated testing and deployments.
• Provide technical direction, mentorship, and guidance to a team of 5+ engineers.
• Work closely with architects, engineering teams, and business stakeholders to shape technical solutions and deliver platform capabilities.
• Contribute to an Agile engineering culture and continuously improve development and delivery processes.

Skills

Python

FastAPI

Pydantic

REST APIs

Async programming

Multithreading

Azure

Azure Databricks

MLflow

Docker

Kubernetes

GitLab

CI/CD

DevOps

API design

Leadership

Agile

English Proficiency

Tools

GitLab

CI/CD tooling

DevOps tooling

Azure App Service

IAM/RBAC

MLflow tooling

Databricks UI

Job description

We are looking for a hands-on Python Azure Solution Architect to join a greenfield Modeling-as-a-Service (MaaS) platform initiative. The platform is being developed on Microsoft Azure to provide a standardized approach to the development, validation, deployment, and monitoring of financial models.In this role, you will combine technical leadership, backend engineering, and team management. You will guide a team of 5+ engineers and take ownership of the design and implementation of scalable backend services used to deploy and interact with different types of financial models.ResponsibilitiesDrive the technical design and development of backend components for the MaaS platform within a secure Azure environmentDesign and develop RESTful APIs for deploying, managing, and querying financial modelsDevelop scalable backend solutions using Python, FastAPI, and PydanticUse Azure Databricks and MLflow-based approaches to support model deployment and servingDefine technical standards for model packaging, deployment workflows, MLflow integration, and API interfacesEstablish development practices that ensure high standards of code quality, testing, reliability, and maintainabilityBuild and improve CI/CD pipelines with GitLab, supporting automated testing and deploymentsProvide technical direction, mentorship, and guidance to a team of 5+ engineersWork closely with architects, engineering teams, and business stakeholders to shape technical solutions and deliver platform capabilitiesContribute to an Agile engineering culture and continuously improve development and delivery processesRequirements8+ years of experience in software or data engineering, with at least 2 years of experience in a technical leadership positionStrong hands-on expertise in Python, including Python Core, asynchronous programming, multithreading, exception handling, and REST API developmentSolid experience with FastAPI and PydanticStrong understanding of backend architecture, distributed systems, and API designProven experience with Microsoft Azure, particularly Azure Databricks, Azure App Service, and IAM/RBACExperience with MLflow or comparable tools and frameworks for model lifecycle management and deploymentGood knowledge of GitLab, CI/CD pipelines, and DevOps practicesHands-on experience with Docker and KubernetesStrong analytical and problem-solving skills, with the ability to make sound technical decisionsExcellent communication, leadership, and stakeholder-management skillsExperience working in Agile, cross-functional engineering teamsEnglish proficiency at B2 level or higherNice to haveBackground in financial modeling, machine learning platforms, or model-serving solutionsExperience building Modeling-as-a-Service, Machine Learning-as-a-Service, or similar platformsUnderstanding of ML model deployment, monitoring, and lifecycle managementExperience working with enterprise platforms operating under strict security, access-control, and compliance 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.