• Design, build, and evolve the Managed Services AI platform — delivering production-grade AI capabilities integrated directly into service delivery workflows • Lead the development of agentic AI solutions, including incident triage and classification, automated remediation and resolution, knowledge retrieval and summarization, and workflow orchestration and escalation • Drive use cases from concept through prototype to production, ensuring real operational adoption • Architect and integrate AI capabilities across core platforms including ITSM (ServiceNow), monitoring and observability tools, automation frameworks and runbooks, and knowledge management systems • Embed AI directly into day-to-day operational workflows — not standalone solutions — designed for multi-tenant, scalable managed services environments • Drive measurable improvements across Managed Services operations: incident deflection rates, MTTR reduction, automation and self-healing coverage, ticket volume reduction, analyst and engineer productivity, and service quality and client experience

• Design, develop, and maintain backend services using Python. • Build clean, stable, and well-documented REST APIs. • Develop data ingestion, normalization, enrichment, and processing workflows. • Work with structured and unstructured technical datasets from internal and external sources. • Design and maintain database schemas, indexes, queries, and backend data models. • Implement background workers, scheduled tasks, automation pipelines, and long-running processing jobs. • Work with PostgreSQL, Redis, object storage, and other backend infrastructure components. • Implement authentication, authorization, API access controls, rate limiting, and audit-friendly backend logic. • Build backend support for analytics, reporting, monitoring, workflow automation, and user-facing platform features. • Collaborate closely with frontend developers to define API contracts and deliver reliable data to the user interface. • Improve backend performance, error handling, logging, and observability. • Participate in code reviews, testing, debugging, deployment preparation, and technical documentation. • Handle proprietary technical information with discretion and professional confidentiality.

• Developing new payment features and services; • Processing and resolving requests from technical support and users as part of daily duties; • Designing and implementing APIs (external and internal); • Creating and maintaining processes in Camunda; • Participating in the design and development of high-load system architectures; • Supporting and enhancing existing solutions and services; • Writing high-quality, test-covered code (unit tests, integration tests); • Conducting code reviews; • Optimizing system performance and database queries; • Analyzing and resolving production incidents and bugs; • Analyzing documentation from external providers, conducting quick checks, and defining epics and tasks based on Proof of Concept; • Collaborating with the QA team to ensure the high quality of the delivered product; • Maintaining technical documentation and writing technical specifications; • Assisting in onboarding new developers and ensuring code quality; • Definition and formation of technical epics — analyzing existing solutions, identifying opportunities to improve system architecture, performance, and reliability, preparing improvement proposals, and aligning them with the team lead and architect; • Participation in the creation of business epics — analyzing requirements, assessing feasibility, and proposing alternative or optimized solutions based on technical expertise; collaborating with analysts and product managers to determine the best implementation approach; • Preparing tasks based on approved epics, ensuring proper detailing and alignment with architectural and business requirements; • Estimating task completion timelines, participating in sprint planning, and providing accurate technical time and effort estimates.

• Define and evolve integration architectures for enterprise applications and digital platforms. • Design solutions based on APIs, microservices and event-driven architectures. • Technically lead integration initiatives between corporate systems and data platforms. • Develop and support the implementation of backend applications using Python. • Design, build and maintain REST APIs and event-driven integrations. • Architect integration solutions with platforms such as SAP, Salesforce, Kafka and other corporate systems. • Define development, observability, security and governance standards for integrations. • Support the construction of data pipelines and large-scale integration processes. • Ensure adherence to architecture best practices, code quality and performance. • Collaborate with enterprise architects, technical leads, data teams and development teams. • Perform impact analyses, define technology standards and continuously evolve the architecture.