InPost Group

• Wspierać rozwój efektywności operacyjnej w obszarze Customer Care, • Wzmacniać jakość doświadczeń klienta (CX) oraz projektować innowacyjne rozwiązania usprawniające procesy i automatyzujące obsługę. • Projektowanie i wdrażanie kompleksowych rozwiązań Contact Center. • Rozwój obsługi klienta w modelu omnichannel.

• Entering a given area, talking to people, and observing how their work actually looks in reality. • Mapping the end‑to‑end process — not as it is described, but as it truly functions. • Analysis: where are the bottlenecks, where is unnecessary manual work, where AI can be applied and what it can change. • Designing a new process — taking into account technological capabilities, risks, and the need for human involvement at key moments. • Building a business case, launching a pilot, measuring results, validating with the business as well as with supporting functions such as Finance, Controlling, Legal, and Technology teams. • Creating playbooks and documentation for scaling to additional markets.

• Maintain and develop Comarch BSS (Product Catalog, Billing, Billing Mediation): configuration, updates, performance monitoring, and incident resolution. • Monitor system processes, analyze logs, identify and resolve data and runtime issues. • Ensure stability and continuity of system integrations and interfaces across the billing ecosystem. • Manage backups, data recovery processes, and system availability and resilience. • Take technical ownership of the billing system after deployments and during ongoing operations. • Cooperate with infrastructure and security teams to ensure compliance with audit and security requirements. • Track the BSS roadmap, run Proofs of Concept, and maintain high-quality technical documentation.

• Build, maintain, and continuously improve our Internal Developer Platform to streamline development and deployment. • Design and enhance platform components to ensure reliability, scalability, security, and ease of use. • Provision, monitor, and maintain infrastructure across cloud environments (AWS, Azure, GCP). • Automate infrastructure provisioning, testing, deployment, and configuration through CI/CD and scripting. • Collaborate with software engineers, operations, security, and platform teams to understand needs and deliver effective solutions. • Implement and maintain security best practices, including access management, encryption, and compliance. • Ensure monitoring and observability, providing teams with logs, metrics, and troubleshooting tools. • Create and maintain clear documentation for platform tools, processes, and standards. • Support incident resolution related to platform functionality. • Continuously explore new technologies and improvements to reduce technical debt and enhance the developer experience.

• Design, develop, and test full-stack features - Java/Spring microservices on the backend, Angular on the frontend - ensuring high performance and reliability (working with maps, geocoding APIs, administrative structures in multiple countries) • Own and evolve CI/CD pipelines, containerized deployments (Docker, Kubernetes), and cloud-native infrastructure (GCP) supporting your team's services • Maintain and optimize relational and NoSQL data stores (PostgreSQL, ElasticSearch, Redis) powering logistics workflows • Respond to and resolve production incidents; contribute to post-mortem analysis and follow-up improvements • Leverage AI-assisted development tools (Copilot, Claude, etc.) to accelerate delivery while critically evaluating generated outputs • Collaborate with Tech Leaders, Architects, Product Owners, and UX designers to translate business requirements into well-engineered solutions • Actively participate in Scrum ceremonies and contribute to continuous improvement of team practices

• Drive the technical architecture across the domain, with a focus on modernization, scalability and AI integration. • Lead the design and implementation of microservices and cloud-native systems. • Guide the transition from legacy systems to modern distributed systems. • Collaborate with senior stakeholders (EMs, Staff and Principal Engineers, Directors) to align on technology direction. • Champion engineering excellence, fostering a culture of autonomy, accountability, and quality. • Provide mentorship and leadership across engineering teams. • Integrate LLMs and other GenAI models into web applications through efficient API design and implementation. • Build and optimize API endpoints enabling seamless, real-time communication between front-end applications and back-end AI services. • Design and develop secure, scalable, and high-performing Java-based microservices for AI model deployment. • Develop robust back-end systems in Java to support deployment, scalability, and ongoing maintenance of GenAI models. • Build and maintain data pipelines, including preprocessing input data and post-processing model outputs for application use. • Implement best practices for sensitive data handling and maintaining high model performance. • Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment of AI applications. • Implement CI/CD pipelines for automated testing and delivery of code changes. • Maintain scalable and secure cloud infrastructure using platforms such as Google Cloud Platform or Azure for model training, storage, and deployment. • Utilize vector databases (e.g., Pinecone, Weaviate, Faiss) for embedding management and similarity search. • Work with frameworks supporting model development and deployment, including Hugging Face, LangChain, and OpenAI ecosystem tools. • Optimize and fine-tune LLMs based on specific application needs.

• Own and deliver complex, multi‑team technology programs from planning through launch • Build end‑to‑end program plans: goals, milestones, value slicing, roadmaps, and critical paths • Manage cross‑team dependencies, risks, and integration boundaries proactively • Translate business and technical goals into clear scope and measurable outcomes • Define and track program KPIs, ensuring delivery drives business value • Lead RAID reviews, readiness checks, and rollout reviews • Coordinate non‑functional requirements (SLA/SLO, security, operability) • Systematize AI usage in program execution (scenario generation, readiness testing, metrics validation, reporting) • Drive governance mechanisms such as steering committees and decision reviews • Communicate clearly with engineering, product, design, operations, and senior leadership • Mentor Associate TPMs and contribute to team standards and playbooks

• Integrate LLMs and other GenAI models into web applications through efficient API design and implementation. • Build and optimize API endpoints to allow seamless, real-time interaction between front-end applications and back-end AI models. • Design and develop secure, scalable, and high-performing microservices for AI model deployment. • Develop robust back-end systems in Python to support the deployment, scalability, and maintenance of GenAI models. • Build and maintain data pipelines, including preprocessing data and post-processing AI model outputs for consumption by applications. • Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment and management of AI applications. • Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of code changes. • Maintain a scalable and secure cloud infrastructure, leveraging platforms such as Google Cloud Platform, or Azure for model training, storage, and deployment. • Utilize vector databases (e.g., Pinecone, Weaviate, or Faiss) to manage and retrieve embeddings for efficient similarity search and recommendation systems. • Optimize and fine-tune LLMs to improve performance based on application needs.

• Provide daily support to system users • Handle incidents and configuration requests • Coordinate work of external vendors (SAP Partners) • Ensure that HR processes are optimally reflected in SuccessFactors • Involved in system improvements, upgrades, and integrations • Contribute to building a stable, compliant, and efficient HR technology landscape • Maintain and continuously improve HR processes in SAP SuccessFactors across all Group companies (modules: Employee Central, Performance & Goals, Succession, Compensation) • Provide operational support for SuccessFactors users, including incident handling, service requests, and problem management • Parameterize the system according to HR policies and country-specific legal requirements • Analyze business requirements and translate them into configuration changes or backlog items • Manage system upgrades, releases, and regression testing • Prepare HR analytics and reporting using Story Reports and People Analytics • Maintain, design, and support integrations with internal systems such as ERP/Payroll, T&A, BI/DWH, IdM/SSO • Understanding GDPR compliance aspects and auditability options available in SAP SuccessFactors • Collaborate closely with HR Business Partners, local system users, internal IT teams, and external providers

• Own the long-term technical roadmap for the Platform Engineering Domain across four pillars: Platform Engineering & Delivery, Developer Experience, SRE & Reliability, AI & Cloud Foundations. • Identify architectural risks and opportunities ahead of the teams — raise them early, propose solutions, drive resolution. • Define and evolve platform-wide standards: SDLC compliance (targeting SCS ≥ 80/100), observability baselines, cloud-native patterns. • Lead the technical strategy for InPost's migration from on-prem data centres to GCP. • Establish reference architectures for services running on GCP; review and govern deviations. • Drive cost efficiency, reliability, and security posture at the platform layer. • Define the developer platform vision and partner with the Developer Experience lead. • Shape the technical approach to AI adoption across InPost Technology.