Backend Software Engineer (Digital Transformation)

🏢 Summary: Backend Engineer role focused on building AI-centric digital products for employees and HR stakeholders. The position involves Java/Spring Boot microservices development, API and cloud integration, production observability, and maintaining secure, reliable solutions in a hybrid Kraków or Wrocław work model. 🗂️ Requirements: Strong Java and Spring Boot experience, Spring Batch and Spring Cloud experience, Microservices development experience, REST API and GraphQL schema design proficiency, NoSQL data modelling experience, Data streaming experience, OAuth 2.0 and Microsoft Entra ID knowledge, Azure Cloud Services familiarity, English communication skills, Agile collaboration experience, Commitment to quality, maintainability and documentation 📃 Skills: Java, SpringBoot, SpringBatch, SpringCloud, Microservices, REST, GraphQL, NoSQL, CosmosDB, Kafka, OAuth2, EntraID, Azure, AppServices, AzureMonitor, APIManagement, Observability, Testing 🏢 Description: Role summary We are looking for a Backend Engineer to design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core. 📍 Work mode: Hybrid (2–3 days/week) — Kraków or Wrocław office Primary skills Java, Spring Boot, microservices, REST APIs Key responsibilities: Design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core. Apply modern engineering practices, from analyzing user needs and developing new features to automated testing, deployment, and observability. Ensure quality, security, reliability, and compliance by applying digital principles and implementing functional and non-functional requirements. Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues. Advocate for user and stakeholder needs, ensuring AI solutions are explainable, ethical, and human-centric. Share knowledge openly, contribute to hiring and onboarding, and help shape a collaborative, forward-thinking engineering culture. Required skills and experience: Strong experience in Java and Spring Boot, including Spring Batch and Spring Cloud, and building microservices. Proficiency in REST API and GraphQL schema design. Experience with NoSQL data modelling, such as Azure Cosmos DB ; data streaming, such as Confluent Kafka; and authentication/authorization protocols, including OAuth 2.0 and Microsoft Entra ID. Familiarity with Azure Cloud Services , including App Services, Azure Monitor, and API Management. Collaborative communication skills: able to express ideas clearly in English and adapt technical content for diverse audiences while working closely with product managers, designers, and engineers in agile settings. Strong commitment to quality, maintainability, documentation, and continuous learning. AI-related skills, such as Spring AI or LangChain, are a strong plus. Benefits ✅ Stable long-term cooperation with opportunity for extension Opportunity to work with modern technologies in an international environment Professional growth and continuous development opportunities Participation in challenging and impactful projects 📩 If you’re interested and meet the qualifications, please send your CV at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: Java Backend Engineer role focused on building AI-driven digital products for employees and HR stakeholders. The position covers end-to-end microservice development, testing, deployment, observability, production support, and secure, ethical AI delivery in an agile environment. 🗂️ Requirements: Strong Java and Spring Boot experience, Experience building microservices, Spring Batch and Spring Cloud experience, REST API and GraphQL schema design proficiency, NoSQL data modelling experience, Data streaming experience, OAuth 2.0 and Microsoft Entra ID authentication/authorization experience, Azure Cloud Services experience, English communication skills for cross-functional agile collaboration, Commitment to quality, maintainability, documentation, and continuous learning 📃 Skills: Java, SpringBoot, SpringBatch, SpringCloud, Microservices, REST, GraphQL, NoSQL, CosmosDB, Kafka, OAuth2, EntraID, Azure, AppServices, AzureMonitor, APIManagement, Observability 🏢 Description: Role Summary We are looking for a Java Backend Engineer to design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core. Required Skills & Experience Strong experience in Java and Spring Boot, including Spring Batch and Spring Cloud, and building microservices. Proficiency in REST API and GraphQL schema design. Experience with NoSQL data modelling (e.g., Azure Cosmos DB), data streaming (e.g., Confluent Kafka), and authentication/authorization protocols including OAuth 2.0 and Microsoft Entra ID. Familiarity with Azure Cloud Services, including App Services, Azure Monitor, and API-Management. Collaborative communication skills: able to express ideas clearly in English and adapt technical content for diverse audiences while working closely with product managers, designers, and engineers in agile settings. Strong commitment to quality, maintainability, documentation, and continuous learning. Key Responsibilities Design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core. Apply modern engineering practices, from analyzing user needs and developing new features to automated testing, deployment, and observability. Ensure quality, security, reliability, and compliance by applying digital principles and implementing functional and non-functional requirements. Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues. Advocate for user and stakeholder needs, ensuring AI solutions are explainable, ethical, and human-centric. Share knowledge openly, contribute to hiring and onboarding, and help shape a collaborative, forward-thinking engineering culture.

🏢 Summary: Senior Backend Software Engineer role focused on designing, building, and operating secure, scalable .NET microservices for cloud and hybrid environments. The position delivers backend features end to end using Azure services, SQL Server, Cosmos DB, asynchronous messaging, automated testing, and CI/CD practices. 🗂️ Requirements: 5+ years of backend or distributed systems engineering experience, Proficiency in C#, .NET 8/10, ASP.NET Core, and Azure Functions, Experience with SQL Server, T-SQL, EF Core, RLS, and NoSQL databases, Practical Azure services experience, Knowledge of OAuth2, JWT, and identity-provider integrations, Experience with multi-tenant SaaS architectures, Knowledge of asynchronous message-driven systems, Experience with CI/CD, Terraform, and Docker/Kubernetes, Strong unit and integration testing practices 📃 Skills: C#, .NET, ASP.NET, Azure, SQL, T-SQL, EF, CosmosDB, OAuth2, JWT, SaaS, CI/CD, Terraform, Docker, Kubernetes, xUnit, Moq, FluentAssertions, GitHub, Azurite 🏢 Description: We are looking for an experienced Senior Backend Software Engineer to design, build, and operate backend services within a modern, scalable microservices environment. The role involves working with ASP .NET Core, Azure Functions, SQL Server, and Azure CosmosDB to deliver high‑performance, secure solutions for cloud and hybrid environments. Key Responsibilities: ·       End‑to‑end development of backend features using ASP .NET Core APIs, Azure Functions, SQL Server, and CosmosDB ·       Building and extending .NET services in a microservices architecture ·       Implementing resilient, asynchronous workflows using Azure Service Bus ·       Designing secure and efficient data access patterns (SQL Server, CosmosDB) ·       Ensuring multi‑tenant data isolation and compliance with security standards ·       Using Azure services such as Service Bus, Blob Storage, App Configuration, Application Insights, and Entra ID ·       Writing unit and integration tests (xUnit, Moq, FluentAssertions) ·       Contributing to CI/CD pipelines (GitHub Actions, Azure DevOps) ·       Working with Terraform, Docker Compose, and Azurite ·       Identifying and resolving performance, security, and reliability issues ·       Independently delivering backend features from design to production ·       Participating in architecture discussions and code reviews ·       Collaborating with product and frontend teams on API design ·       Mentoring junior engineers and promoting AI‑driven development practices. Qualifications: ·       Minimum 5  years of experience in backend or distributed systems engineering ·       Strong proficiency in C# / .NET 8/10, ASP .NET Core, Azure Functions ·       Experience with SQL Server (T‑SQL, EF Core, RLS) and NoSQL databases (CosmosDB preferred) ·       Practical knowledge of Azure services (Functions, Service Bus, Blob Storage, App Configuration, App Insights) ·       Understanding of OAuth2, JWT, and identity provider integrations ·       Experience with multi‑tenant SaaS architectures ·       Familiarity with asynchronous, message‑driven systems ·       Knowledge of CI/CD, Terraform, Docker/Kubernetes ·       Strong testing discipline and communication skills. Benefits: ·       Health benefits & insurance ·       Multisport card ·       Learning and development opportunities ·       Flexible work schedule ·       Innovative work in cybersecurity and AI-native environment ·       Opportunities for career growth. Apply now!

🏢 Summary: Senior Backend Engineer role building and operating scalable core services and developer-facing tools for a voice platform. The position spans backend and frontend development, with end-to-end ownership of distributed, cloud-native production systems and collaboration with ML teams. 🗂️ Requirements: 6+ years building and operating distributed backend services, Professional Java experience, Experience designing gRPC/HTTP APIs, Experience with distributed systems and event-driven architectures, Experience operating cloud-native infrastructure in production, End-to-end production system ownership, Ability to collaborate with ML and cross-functional teams, Clear communication of technical trade-offs 📃 Skills: Java, Python, gRPC, HTTP, APIs, Cloud-native, Distributed, Event-driven 🏢 Description: We are looking for a Senior backend Engineer to help build the core services and user-facing tools that power a voice platform. In this role, you will develop and operate the platform's foundational backend systems while also building intuitive frontend experiences. You will work across the full stack, designing scalable backend services and creating high-quality frontend applications that enable internal teams and partners to build, test, and manage voice experiences. This is an opportunity to work on distributed systems at scale, shape developer-facing tools, and own features from concept through production. What You'll Do Design, build, and operate scalable backend services. Develop and maintain distributed systems using gRPC/HTTP APIs and event-driven architectures. Build cloud-native services with a strong focus on reliability, scalability, and performance. Own production systems end-to-end, including architecture, implementation, deployment, monitoring, and iteration. Partner closely with ML engineers to design robust interfaces between backend services and model-serving infrastructure. Collaborate with engineers and cross-functional stakeholders to deliver high-quality technical solutions. Champion engineering best practices, operational excellence, and maintainable system design. Who You Are You have 6+ years of experience building and operating distributed backend services. You have strong professional experience with Java and Python. Experience with Java is essential, while Python is a plus because much of the team's tooling is built in it. You have experience designing and developing gRPC/HTTP APIs, distributed systems, and event-driven architectures. You have experience building and operating cloud-native infrastructure in production environments. You take ownership of systems throughout their full lifecycle, from design through production support. You collaborate effectively with machine learning teams and cross-functional partners. You are an excellent communicator who can clearly explain technical trade-offs to both technical and non-technical stakeholders.