InPost Group

Data Analyst

• Closely support stakeholders in making data-driven decisions
• Work with different InPost departments and business lines
• Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendations about business critical areas and processes
• Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment
• Maintain and advocate for these standards through code reviews
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions
• Prototype and coordinate data visualizations

Senior Data Analytics Consultant

• Raportowanie i pogłębiona analiza danych marketingowych (w Databricks) oraz prezentowanie wniosków i wypracowanych rozwiązań
• Zbieranie i analizowanie danych z różnych źródeł w celu wykrywania trendów i wzorców
• Przekładanie wymagań biznesowych na potrzeby analityczne, definiowanie modeli danych
• Określanie dostępności danych w naszym data lakehouse oraz identyfikacja i definiowanie niezbędnych struktur danych we współpracy z działem Data
• Wprowadzanie automatyzacji w raportowaniu cyklicznym
• Iteracyjna analiza danych, obejmująca ich zrozumienie, transformację i agregację w celu ustalenia kluczowych wskaźników wydajności (KPI)
• Regularny przegląd wykorzystywanych narzędzi pod kątem możliwości usprawnienia analiz i raportowania, poszukiwanie sposobów na zwiększenie efektywności realizowanych zadań.
• Wizualizacja danych przy pomocy Power BI lub współpraca przy budowaniu dashboardów

Systems Engineer

• 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.

Billing System Engineer

Cloud Engineer

• Design and implement a cloud-native platform architecture on GCP
• Build scalable guardrails for multi-team, multi-environment setups with compliance requirements
• Create reusable infrastructure that enables self-service provisioning
• Define cloud governance: IAM strategies, organizational policies, policy-as-code
• Write design documents and represent technical divisions in cross-team and leadership forums

Senior Cloud Engineer – GCP

Data Scientist

• Partner with Product and Business Teams to understand needs and provide actionable insights
• Develop and implement advanced data science solutions
• Collaborate with cross-functional teams to ensure seamless integration
• Explore cutting-edge methods and trends in Data Science & AI
• Communicate insights and recommendations to management and teams

Senior Data Scientist – Operations

AI Engineer

• 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.

Staff AI Engineer

Technical Program Manager

• 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

Full-stack Engineer

AI Principal Engineer

• 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.

Principal Engineer – Platform

Backend Engineer

• Design, implementation and testing of high-performance, reactive microservices in Java using state-of-the-art methods and technologies.
• Creating and evolving event-driven systems using Spring WebFlux, Kafka, and NoSQL/SQL databases.
• Have your share of ownership of incidents and issue tracking, as well as proposing improvements to the current applications.
• Advocate an engineering culture of quality, good development principles and innovation from inside your team.
• Contribute with the creation and maintenance of architectural technical documentation, including System Design and RFC documents.
• Collaborate with QA and other teams to deliver complex functionalities across many projects.

Java Software Engineer

Human Resources

• 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

SAP SuccessFactors HR Functional Consultant

Software Engineer

• Architect and design complex ABAP solutions with a focus on scalability, performance, and maintainability
• Develop and maintain high-quality ABAP code in line with best practices and coding standards
• Design and implement advanced integrations between SAP and non-SAP systems
• Proactively identify, analyze and resolve technical challenges in existing systems
• Drive improvements in development processes and coding standards
• Estimate effort and timelines and take ownership of delivering complex features
• Troubleshoot and resolve production issues in a timely manner
• Prepare and maintain technical documentation
• Refactor existing code and fix defects
• Write and execute unit and integration tests
• Analyze system performance and optimize existing solutions

Senior SAP ABAP Developer

SDET

• Define and drive QA strategy.
• Champion Shift Left Testing in practice.
• Design, build, and maintain automated test frameworks for iOS and Android applications.
• Own and improve CI/CD pipelines for automated testing.
• Execute backend and API testing.
• Perform manual exploratory testing on mobile devices.
• Spot process inefficiencies and propose concrete improvements.
• Track, document, and communicate defects with clarity and context.

Senior Software Engineer in Test – m / f / n

Frontend Engineer

• Develop new features focusing on architecture, scalability, and internationalization standards
• Take ownership of your solutions — you own the outcome and quality of what you build
• Drive the evolution of our shared design system to support multiple brands and markets
• Own accessibility (a11y) as a first-class concern across all our international sites
• Build complex UI features: block-based editor interactions, undo/redo, and previews
• Experiment with and integrate LLM-based tools into our products and workflows
• Drive AI adoption within the team — help establish best practices
• Work with strict TypeScript to design safe, ergonomic APIs
• Maintain and extend our E2E test suite (Playwright) to ensure stability across regions
• Mentor junior engineers and foster a culture of technical excellence
• Participate in architectural decision-making — we use lightweight RFCs and collective ownership to align on technical direction