Data Platform Solution Architect

🏢 Summary: The offer is for a Cloud Platform Architect responsible for designing and operating scalable, secure AWS-based cloud platforms. The role focuses on infrastructure as code, security, monitoring, and cost optimization while collaborating with cross-functional teams and advising clients on architecture and data strategies. It combines hands-on engineering with consulting and client-facing responsibilities. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, IT or related field, Very good knowledge of English and Polish, Experience designing and operating scalable cloud platforms on AWS, Strong knowledge of cloud infrastructure, networking, and security, Hands-on experience with Infrastructure as Code tools, Experience with monitoring and cost optimization in AWS, Availability to work in hybrid mode with at least 2 office visits per month 📃 Skills: AWS, Terraform, CloudFormation, CDK, IAM, Networking, Security, Monitoring, Automation, Cloud 🏢 Description: Responsibilities Cloud Platform Architecture : Design and implement scalable, reliable cloud infrastructure on AWS. Infrastructure as Code Development : Build and maintain infrastructure automation using Terraform, CloudFormation, or CDK. Ensure infrastructure is version-controlled, reusable, and follows best practices. Security and Compliance Implementation : Design, implement, and maintain security controls, IAM policies, and network architectures ensuring compliance requirements are met and platforms remain secure. Monitoring and Operational Excellence : Establish observability frameworks, monitoring systems, and alerting mechanisms. Optimize cloud costs and address any issues that may affect platform reliability or performance. Cross-Team Collaboration and Enablement : Work closely with data, application, and DevOps teams to understand requirements and provide platform capabilities. Enable teams through documentation, tooling, and shared services Consulting and Strategy : Provide expert advice and consultancy services to clients on data strategies, architecture choices, and technological advancements Client Interaction : Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions. Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Educational Background: Bachelor’s or master’s degree in CS, Engineering, IT, or a related field. Very good knowledge of English and Polish. Experience designing and operating scalable, reliable cloud platforms on AWS. Strong background in cloud infrastructure, networking, and security for shared platform environments. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, CDK) and automation. Experience with monitoring, cost optimization, and operational excellence in AWS. Availability to work in a hybrid mode with at least 2 visits to the office per month. About Data Reply Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. The team is active in various industries and business areas and works closely with clients to enable them to achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects on the topic of "Data Driven Enterprise". Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms and Machine Learning solutions - automated, efficient and scalable - without compromising IT security.

🏢 Summary: Hands-on .NET Architect role focused on designing and guiding delivery of secure, scalable, cloud-native enterprise platforms on Azure. The position combines deep technical expertise in C# and distributed systems with ownership of target architecture and production-grade solution design. Emphasis on microservices, platform engineering, data architecture, security, and DevSecOps practices. 🗂️ Requirements: Degree in Computer Science or related field, 10+ years in software engineering or solution architecture on Microsoft stack, Strong expertise in C# and .NET Core/.NET 8, Experience with ASP.NET Core and Web APIs, Architecture of distributed systems and microservices, Azure architecture across AKS and core Azure services, Design of integration-heavy enterprise platforms, Strong knowledge of SQL Server or PostgreSQL performance tuning, Understanding of scalability, availability, and resiliency patterns, Experience with containers, Kubernetes, and CI/CD, Knowledge of application security and secure coding practices, Foundational understanding of AI and machine learning concepts 📃 Skills: C#, .NET, ASP.NET, Azure, AKS, Microservices, APIs, SQL, SQLServer, PostgreSQL, Kubernetes, Docker, CI/CD, DevSecOps, ServiceBus, EventGrid, KeyVault, AppServices, Functions, APIManagement, Storage, Authentication, Encryption, Datadog, Dynatrace, ApplicationInsights, OpenTelemetry, Grafana, AI 🏢 Description: Description We are seeking a forward-looking, hands-on .NET Architect who can shape the target architecture for modern platforms while staying close to engineering delivery. The ideal candidate will combine deep expertise in C#, .NET, Azure, cloud-native architecture, distributed systems, APIs, data, and platform engineering with the ability to guide teams through practical, production-grade solution design. This role is suited to an architect who can think 3–5 years ahead, simplify complex landscapes, and help build secure, scalable, resilient, and configurable enterprise platforms. Requirements Bachelor’s or master’s degree in Computer Science, Engineering, or a related field 10+ years of experience in software engineering, solution architecture, or platform engineering, with significant experience in Microsoft technology stacks Strong hands-on expertise in C#, .NET / .NET Core / .NET 8, ASP.NET Core, Web APIs, background services, and enterprise application design Deep experience in architecting distributed systems using microservices, asynchronous messaging, event-driven design, and API-led integration patterns Strong Azure architecture experience, preferably across AKS, App Services, Functions, API Management, Key Vault, Service Bus, Event Grid, Storage, monitoring, and identity integration patterns Experience designing and supporting platforms, configurable product architectures, and integration-heavy enterprise solutions Strong understanding of relational databases and performance engineering, especially SQL Server and/or PostgreSQL, including schema design, indexing, query tuning, and transaction handling Solid grasp of non-functional architecture including performance, scalability, availability, fault isolation, observability, and disaster recovery Strong understanding of application and platform security including authentication, authorization, secrets management, encryption, secure coding, and compliance-oriented design Experience with containers, Kubernetes, CI/CD, infrastructure automation, and modern DevSecOps practices Ability to make sound architecture decisions with a balance of pragmatism, delivery speed, engineering quality, and long-term maintainability Strong communication and stakeholder management skills across product, engineering, architecture, operations, security, and client-facing teams Foundational understanding of AI concepts, including how machine learning models  work, common AI use cases, and basic principles of data handling. Ability to use AI‑powered tools and platforms to support daily tasks, with strong attention to detail and commitment to maintaining data accuracy. Fluent command of the Polish language (C1/C2) Desirable Qualifications and Skills Experience in insurance, Insurtech, BFSI, or other regulated, transaction-heavy domains. Exposure to policy administration, billing, accounting, claims, workflow orchestration, or reporting platforms within the insurance value chain. Experience with architecture frameworks and modeling approaches such as TOGAF, domain-driven design, UML, C4, or equivalent practical architecture methods. Familiarity with mixed technology landscapes involving .NET, Java/Spring Boot, enterprise workflow tools, and integration ecosystems. Experience with observability and reliability tooling such as Datadog, Dynatrace, Application Insights, Open Telemetry, Grafana, or similar. Working knowledge of Angular, React, or modern web application architecture patterns. Exposure to AI-enabled engineering, intelligent automation, or embedding AI capabilities into enterprise platforms. Leadership experience across globally distributed or virtual teams. What you can expect from us: Unique professional and personal development at one of the pioneer companies in professional insurance support. Ongoing professional training – to onboard you for a good start and your further professional development. Your own growth training budget - use internal and external development opportunities and take advantage of your own budget. LUXMED medical cover for you with full dental care, oncological preventive program and additional mental health support with helpline & individual sessions with a therapist.. 8-hour work time with a lunch break already included - spend the rest of the day doing what is important to you as intended in the #2h4Family program. Private life insurance - 80% of the premium is covered by an employer. Employee referral program - we appreciate you recommending your friends to join us. Additional days off - to celebrate your birthday, moreover, if you want to do a volunteering work, feel free to do so with some extra days off. Integration events - monthly delicious breakfasts, movie nights, board game nights, outdoor events. Lively and modern office in the City Centre with parking space for employees. A supportive and friendly atmosphere created by passionate people.

🏢 Summary: Lead Distributed Data Platform Engineer responsible for architecting and delivering enterprise-scale lakehouse and distributed data platforms to enable advanced analytics and reporting. The role combines hands-on technical leadership with team mentorship, driving scalable, secure, and high-performance data solutions in cloud-native environments. You will guide architectural decisions, enforce engineering best practices, and ensure platform reliability at scale. 🗂️ Requirements: Proven experience leading data engineering or platform teams, Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production, Experience with Delta Lake and/or Apache Iceberg in production, Experience designing distributed systems and lakehouse architectures, Experience building scalable data pipelines, Knowledge of CI/CD and automated testing practices, Experience with Kubernetes and Docker, Experience working in cloud-native environments 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD, Java, Scala, Rust 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platform you lead will underpin how the entire organisation accesses and acts on its data. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As Lead Distributed Data Platform Engineer, you'll combine deep technical expertise with hands-on team leadership — guiding a team in designing and maintaining data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services at enterprise scale. You'll lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions. The role emphasises technical leadership, governance best practices, and a culture of innovation and continuous improvement. You'll also participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data platform engineers, promoting collaboration, knowledge sharing, and professional growth. Set and maintain high engineering standards across the team. Distributed systems architecture Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg. Facilitate architecture reviews and contribute to design decisions for fault-tolerant, future-ready systems. Data pipeline and platform delivery Oversee design and implementation of scalable data pipelines and analytics workflows, ensuring they are reliable, performant, and maintainable at scale. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all platform engineering work. Performance and cost optimisation Manage performance tuning, scalability strategies, and cost optimisation across cloud-native environments and large-scale distributed workloads. Governance and observability Champion governance, observability, and compliance frameworks across all data platforms — ensuring data remains accessible, secure, and auditable. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure delivery aligns with business objectives and analytics needs. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or platform development teams — mentoring engineers, owning architectural decisions, and driving delivery outcomes. Python and SQL Strong programming skills in both Python and SQL applied to production data platform work at scale. Apache Spark Hands-on experience with Spark for distributed data processing, including performance tuning and optimisation in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You understand the trade-offs and have applied these technologies in production at scale. Analytics tooling Familiarity with dbt, Databricks, and Snowflake for analytics workflows and large-scale data processing. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data platform systems. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Communication and stakeholder management Strong communication skills with the confidence to operate across engineering teams, cross-functional partners, and senior leadership. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. Exposure to service mesh and advanced orchestration patterns. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: The offer is for a Data Architect responsible for designing and developing a modern data architecture and Data Platform supporting strategic business goals. The role focuses on building and maintaining data warehouses, Data Lake/Lakehouse ecosystems, metadata management, and large-scale data integration across on-premise and cloud environments. The position combines architectural design, data governance, and collaboration with analytics and business teams. 🗂️ Requirements: Minimum 5 years of experience in data domain, Minimum 2 years of experience as Data Architect or equivalent, Experience in designing data warehouses or data platforms, Knowledge of relational and dimensional data modeling, Experience with data modeling tools, Experience in metadata management and data cataloging, Proficiency in SQL, Experience with data processing languages, Experience in large-scale data integration, Experience with ETL/ELT tools, Knowledge of Data Governance and Data Quality principles, Experience with cloud platforms in data processing context 📃 Skills: SQL, Python, Oracle, Teradata, Snowflake, BigQuery, Redshift, Erwin, PowerDesigner, IBMDataArchitect, Informatica, AbInitio, DataStage, Talend, dbt, Airbyte, AWS, Azure, GCP, DataLake, Lakehouse, DataGovernance, RODO 🏢 Description: Opis stanowiska Architekt Danych będzie odpowiedzialny za projektowanie i rozwój nowoczesnej architektury danych, w tym nowoczesnej Platformy Danych wspierającej strategiczne cele firmy. Poszukujemy eksperta, który potrafi łączyć wiedzę techniczną ze rozumieniem potrzeb biznesowych, zapewniając wymaganą jakość i dostępność danych w całej organizacji. Jeśli masz doświadczenie w budowaniu hurtowni danych, rozwiązań BI, integracji źródeł danych (on-premise, chmura) – ta rola jest dla Ciebie. Główne obowiązki Projektowanie, rozwój i utrzymanie spójnej architektury danych dla systemów wewnętrznych oraz zewnętrznych (w tym ekosystemu Data Lake/Lakehouse, hurtowni danych i rozwiązań analitycznych). Dobór narzędzi i technologii do przetwarzania danych wraz z koordynacją ich wdrożenia. Projektowanie i utrzymanie Katalogu Metadanych oraz Mapy Przepływu Danych Standaryzacja modelowania danych i zarządzanie danymi słownikowymi. Powiązanie architektury danych z cyklem życia oprogramowania (SDLC). Utrzymanie katalogu źródeł danych zewnętrznych. Współpraca z zespołami analitycznymi i interesariuszami biznesowymi w celu identyfikacji wymagań dotyczących danych oraz zlecanie lub realizacja analizy biznesowej w inicjatywach jednostek Data & Analytics. Tworzenie i aktualizacja dokumentacji architektonicznej oraz mapowania procesów biznesowych na architekturę danych. Wymagania Minimum 5 lat doświadczenia w obszarze danych, w tym przynajmniej 2 lata na stanowisku Architekta Danych lub równorzędnym. Doświadczenie w projektowaniu hurtowni danych i/lub platform danych (np. Oracle, Teradata, Snowflake, BigQuery, Redshift itp.). Znajomość zagadnień modelowania danych i informacji (relacyjnego i wielowymiarowego) oraz umiejętność modelowania danych w odpowiednich narzędziach (np. Erwin, Power Designer, IBM Data Architect itp.). Doświadczenie w definiowaniu i zarządzaniu metadanymi (katalog danych, pojęcia biznesowe itp.). Biegłość w SQL oraz znajomość wybranych języków do przetwarzania danych (np. Python). Kompetencje i doświadczenie w wielkoskalowej integracji danych. Doświadczenie z narzędziami ETL/ELT (np. Informatica PC, Ab Initio, IBM Data Stage, Talend, dbt, Airbyte itp.). Znajomość zasad Data Governance, zarządzania Jakością Danych oraz retencji danych osobowych (np. RODO). Doświadczenie z chmurą (AWS, Azure lub GCP) w kontekście przetwarzania i przechowywania danych. Samodzielność i zdolność podejmowania decyzji architektonicznych. Umiejętność pracy w zespole interdyscyplinarnym (biznes, IT, data science, bezpieczeństwo). Komunikacja z interesariuszami technicznymi i biznesowymi. Zainteresowanie nowoczesnymi trendami w inżynierii danych (np. Data Mesh, Data Fabric, Lakehouse, streaming danych, active metadata itp.). Oferujemy Zaawansowany stack technologiczny i ciekawe projekty. Współpracę hybrydową (ze zdalną 6 dni w miesiącu) z energicznym i profesjonalnym zespołem. Możliwość rozwoju w ramach firmy - regularne szkolenia techniczne. Prywatna opieka medyczna, ubezpieczenie na życie i karta sportowa. Nagrody roczne oraz jubileuszowe.

🏢 Summary: Senior individual contributor role providing technical leadership for a Data Platform, defining architecture and driving engineering excellence across data, platform and infrastructure domains. The position focuses on building scalable, reliable and well-governed data solutions supporting analytics, AI and business-critical products. It involves mentoring engineers and shaping standards, tooling and automation within a cloud-native environment. 🗂️ Requirements: Proven experience as Staff Engineer, Principal Engineer or equivalent senior IC role, Strong background in data platforms and distributed systems, Experience with cloud-native architectures, Expertise in AWS and infrastructure as code, Experience building scalable data solutions, Knowledge of data lake or lakehouse architectures, Experience with batch and streaming processing, Knowledge of data quality, governance and observability tools 📃 Skills: AWS, Terraform, Kafka, MSK, Airflow, Glue, Spark, Iceberg, Datadog, DBT, AI, Cloud, Data, Infrastructure 🏢 Description: Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are here as more than 300 ambitious specialists who work on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. The job at a glance Join our team and you’ll be responsible for providing technical leadership for our Data Platform team, defining technical direction and driving architectural decisions across data, platform and infrastructure domains. Working in the Data Platform department you will build scalable, reliable and well-governed data platform capabilities that support analytics, AI and business-critical products, while collaborating closely with Engineering Managers, Product Managers and Enterprise Architects. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. Your responsibilities Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving decisions across data, platform and infrastructure domains Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction Drive engineering excellence by improving code quality, testing, observability, reliability and operational practices Support end-to-end delivery by guiding teams through complex technical challenges, improving decision-making, and contributing to planning and risk management Mentor engineers, grow senior technical capabilities and champion AI-assisted development and engineering automation Your skills and qualifications Proven experience as a Staff Engineer, Principal Engineer or in an equivalent senior individual contributor leadership role Strong background in data platforms, distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, In-house projects Tech and sport communities Events and integration parties Charity initiatives, 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

🏢 Summary: Hands-on Platform Architect role responsible for defining and driving a contract-first, cloud-native API strategy on AWS. The position focuses on designing scalable, secure, and governed API platforms, including standards, tooling, and architecture for internal and external consumers. It combines deep platform engineering with cross-team leadership to modernize legacy APIs and enable a unified, product-grade ecosystem. 🗂️ Requirements: Strong experience designing scalable API platforms on AWS, Deep knowledge of contract-first API design and versioning, Experience with schema governance and API standards (OpenAPI/GraphQL), Expertise in OAuth2/OIDC, JWT, and AWS SigV4, Hands-on experience with Terraform and infrastructure-as-code, Experience designing CI/CD pipelines and DevOps automation, Experience with event-driven architectures, Experience implementing observability and reliability practices, Experience defining API Gateway patterns and security controls, Ability to modernize legacy APIs to cloud-native standards 📃 Skills: AWS, APIGateway, Lambda, ECS, Fargate, ALB, Cognito, EventBridge, IAM, OpenAPI, GraphQL, OAuth2, OIDC, JWT, SigV4, Terraform, CI/CD, DevOps, WAF, .NET, Python, TypeScript, Observability, SLO, Tracing 🏢 Description: We are looking for an experienced Platfrom Architect to define and drive an end-to-end API strategy for a modern, cloud-native organisation. This role is responsible for shaping API standards, architecture, governance, and tooling to enable secure, scalable, and product-grade APIs across internal and external consumers. This is a hands-on architecture role , combining deep platform engineering with cross-team leadership to deliver a unified, contract-first API ecosystem built on AWS. Your role Own and evolve the target API architecture across domains using AWS-native services. Define contract-first API standards (OpenAPI/GraphQL), versioning, schema governance, and CI/CD quality gates. Design and govern API Gateway patterns , routing models, Terraform modules, and policy-as-code guardrails. Architect identity and security models , including OAuth2/OIDC, JWT, AWS SigV4, rate limiting, and WAF controls. Enable teams through paved-road service templates (.NET, Python, TypeScript) with built-in auth, observability, and pipelines. Define integration patterns for event-driven and synchronous APIs , ensuring reliability and backward compatibility. Establish observability and reliability standards (logs, metrics, tracing, SLOs). Lead API modernisation, reducing technical debt and aligning legacy APIs with new standards. Partner with engineering, product, security, and SRE teams to drive adoption and best practices. Offer International, collaborative work environment Exposure to large-scale cloud and integration platforms Strong learning and development support Competitive compensation and benefits Hybrid work Requirements Technical Expertise Strong experience designing scalable API platforms on AWS (API Gateway, Lambda, ECS/Fargate, ALB, Cognito, EventBridge, IAM). Deep knowledge of contract-first API design , versioning, and schema governance. Expertise in authentication and authorisation (OAuth2/OIDC, JWT, SigV4). Hands-on experience with Terraform and infrastructure-as-code. Solid understanding of CI/CD, DevOps, security automation , and dependency management. Experience with event-driven architectures and observability tooling. Architecture & Leadership Proven ability to define platform-wide standards and lead large-scale architectural change. Experience creating opinionated templates and enablement tooling. Strong stakeholder communication and ability to influence across teams. Mindset Hands-on builder with a pragmatic approach. Strong focus on security, automation, and API quality. Comfortable modernising legacy systems while designing for scale.

🏢 Summary: Technical Architect role focused on designing and leading implementation of scalable, secure distributed systems based on Java 17+ and Spring Boot in a cloud-native environment. The position combines architectural ownership, event-driven and microservices design, CI/CD optimization, and full-stack coordination with Angular. It includes technical leadership in Agile/DevOps teams and responsibility for quality, integrations, and high-availability solutions. 🗂️ Requirements: Minimum 5 years of experience in Java and system architecture, Strong knowledge of Java 17+ and Spring Boot, Experience in distributed systems design, Experience in microservices architecture, Experience in REST API design with OpenAPI, Practical experience with Azure Cloud, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Knowledge of Infrastructure as Code, Experience with event-driven architecture, Experience with Kafka or RabbitMQ, Knowledge of Angular and frontend technologies, Advanced knowledge of PostgreSQL or Oracle, Experience in performance optimization, Experience working in Agile/Scrum, Very good English skills 📃 Skills: Java, Spring, SpringBoot, Microservices, REST, OpenAPI, Azure, Docker, Kubernetes, CI/CD, AzureDevOps, GitHub, SonarQube, IaC, Kafka, RabbitMQ, Angular, HTML, CSS, JavaScript, TypeScript, PostgreSQL, Oracle, Agile, Scrum 🏢 Description: ZAKRES OBOWIĄZKÓW Projektowanie i odpowiedzialność za architekturę systemów – prowadzenie projektowania oraz wdrażania złożonych, rozproszonych systemów (Java 17+, Spring Boot), z naciskiem na skalowalność, wydajność i bezpieczeństwo Definiowanie standardów technologicznych – ustanawianie i egzekwowanie najlepszych praktyk w obszarze mikrousług, API REST (OpenAPI), architektury czystej oraz podejścia cloud-native Przekładanie potrzeb biznesowych na rozwiązania IT – ścisła współpraca z interesariuszami w celu tworzenia spójnej wizji architektonicznej i dopasowanych rozwiązań technologicznych Liderstwo techniczne i podejmowanie decyzji – prowadzenie zespołów międzyfunkcyjnych, wspieranie decyzji architektonicznych oraz nadzór nad realizacją inicjatyw technologicznych w środowisku Agile/DevOps Projektowanie architektury zdarzeniowej i integracji – tworzenie rozwiązań opartych o event-driven architecture (Kafka/RabbitMQ) oraz integracja systemów Rozwój i nadzór nad warstwą frontendową – koordynacja rozwoju nowoczesnych interfejsów użytkownika (Angular) w zgodzie z wymaganiami UX i architektury systemu Zapewnienie jakości i standardów kodu – prowadzenie przeglądów kodu, definiowanie standardów oraz dbanie o wysoką jakość rozwiązań Rozwiązywanie złożonych problemów technicznych – diagnozowanie i eliminowanie krytycznych problemów w środowiskach developerskich i produkcyjnych Projektowanie i optymalizacja procesów CI/CD – rozwój automatyzacji, pipeline’ów oraz narzędzi monitorujących wspierających ciągłe dostarczanie Zarządzanie wdrożeniami i wydaniami – planowanie, koordynacja i nadzór nad release’ami oraz wdrożeniami produkcyjnymi Tworzenie dokumentacji architektonicznej – opracowywanie diagramów, standardów i dokumentacji technicznej Mentoring i rozwój zespołu – wspieranie programistów, budowanie kultury jakości i ciągłego doskonalenia CZEGO OCZEKUJEMY Min. 5 lat doświadczenia w Java oraz projektowaniu systemów i architektury Bardzo dobrej znajomości Java (17+), Spring Boot oraz budowy systemów rozproszonych Doświadczenia w projektowaniu mikrousług i API REST (OpenAPI) Praktycznej znajomości Azure Cloud, Docker, Kubernetes oraz wdrożeń wieloregionalnych Doświadczenia z CI/CD (Azure DevOps, GitHub), SonarQube oraz Infrastructure as Code Znajomości monitoringu, automatyzacji oraz strategii wysokiej dostępności i disaster recovery Doświadczenia w event-driven architecture (Kafka lub RabbitMQ) Praktyki w integracji systemów oraz (mile widziane) rozwiązań AI/ML Znajomość Angular, HTML, CSS, JavaScript/TypeScript Umiejętność projektowania spójnych rozwiązań full-stack Zaawansowanej znajomości relacyjnych baz danych ( PostgreSQL, Oracle ) Doświadczenia w optymalizacji zapytań i wydajności systemów Doświadczenia w pracy w Agile/Scrum oraz prowadzeniu inicjatyw technicznych Bardzo dobrych umiejętności analitycznych i rozwiązywania problemów Samodzielności w pracy nad złożonymi zagadnieniami Bardzo dobrej znajomości języka angielskiego umożliwiającej swobodną komunikację biznesową MILE WIDZIANE Znajomość frameworków do automatyzacji testów Certyfikaty (Azure, Java, Kubernetes) CO OFERUJEMY Realny wpływ na rozwiązania biznesowe i technologiczne w ramach realizowanych projektów Szkolenia oraz wsparcie w określeniu ścieżki rozwoju Eventy firmowe, dostęp do usług medycznych oraz pakietów sportowych Zatrudnienie na umowę B2B Pracę w trybie 100% zdalnym lub 1 dzień pracy z biura (Trójmiasto) Krótki proces rekrutacji składający się z rozmowy HR oraz skill interview z managerem projektu

🏢 Summary: Senior Web Architect role focused on driving technical optimization, architectural governance, and web performance across multiple development teams. The position involves evaluating and integrating modern front-end technologies within a MACH/microservices landscape while reducing technical debt and ensuring best development practices. You will coordinate architectural decisions and guide teams in building scalable, high-performance web solutions. 🗂️ Requirements: Minimum 5 years web development experience, Minimum 3 years architecture experience, Strong knowledge of MACH architecture, Strong knowledge of Microservices architecture, Deep expertise in Next.js, Deep expertise in NodeJS, Deep expertise in TypeScript, Experience with GitHubActions, Experience with GraphQL, Experience with Git, Strong understanding of Webperformance, Ability to evaluate and implement technical optimizations, Experience coordinating architectural decisions (ADRs), Fluent English 📃 Skills: Next.js, NodeJS, TypeScript, GraphQL, Git, GitHubActions, MACH, Microservices, Kubernetes, ContentStack, commercetools, Webperformance, Architecture, AI 🏢 Description: Your responsibilities Investigate technical optimizations, synergies, automation (ex: through AI), and technical depth / debt reduction potential. Coordinate processes, decisions and patterns of development across seven development teams (ex: facilitate architectural decision records ADRs) Evaluates front-end technical concepts and technologies for feasibility and fit-check into the system landscape (proof of concepts, technology review and critical analysis). Steer & consult the practices defined in the project, and regarding web performance and review the overall development practices with the teams, starting from benchmarking and metrics definitions etc. Your profile Min 5 years experience in the field of web development (overall). Min 3 years experience in architecture related areas. Higher education (Bachelor or Master) in computer science or related fields is preferable, however this is optional in case other significant credentials in experience and knowledge can be demonstrated (certificates / long experience with successful track record / references). Familiar and comfortable with modern software development principles, practices and frameworks (specifically MACH / Microservices architecture). Deep understanding in: Next.js, NodeJS, TypeScript, Github actions, GraphQL, Git, Web performance. Familiarity that are nice to have: Kubernetes, CMS Systems (ContentStack), Commerce systems (commercetools). Fluent and comfortable in English. Great communication skills are essential (collaboration cross-teams, locations and stakeholders is the core of this role). Your benefits Dynamic International Environment: Collaborate with diverse teams globally, enriching your experience and expanding your professional network Collaborative Team Culture: Join a supportive team that values your contributions and encourages your growth Professional Development Opportunities: Expand your skills through engaging projects and responsibilities that challenge and inspire you Flexible hybrid work arrangements: Enjoy a mix of remote work and office collaboration, with a minimum of one day per week in our modern offices Comprehensive Benefits Package: Enjoy private health care, a Lunchpass card, a sports card, group insurance options and employee discounts

🏢 Summary: Backend engineering role focused on designing, building, and operating scalable, event-driven services on Microsoft Azure. The position covers full ownership of backend systems, including architecture, infrastructure as code, container orchestration, CI/CD automation, and data management. It emphasizes microservices, distributed systems, and cloud-native DevOps practices. 🗂️ Requirements: Extensive experience in backend development with C# and .NET, Strong practical knowledge of Microsoft Azure core services, Hands-on experience with AKS and APIM, Experience with distributed messaging systems (Azure Service Bus or Kafka), Proven experience with microservices and distributed systems, Experience with relational and NoSQL databases, Hands-on experience with CI/CD automation tools, Practical experience with Terraform and Infrastructure as Code 📃 Skills: C#, .NET, Azure, AKS, APIM, Kafka, ServiceBus, Terraform, Kubernetes, CI/CD, SQL, CosmosDB, Microservices, AppInsights, LogAnalytics 🏢 Description: Key Responsibilities: End-to-End Product Engineering: Own the entire lifecycle of backend services and APIs—from initial architecture design and coding to comprehensive testing and production deployment. Event-Driven Ecosystems: Architect and maintain highly scalable, asynchronous solutions on Microsoft Azure , utilizing Azure Service Bus or Kafka for robust messaging. Infrastructure as Code (IaC): Orchestrate and manage cloud environments using Terraform , ensuring all infrastructure aligns with enterprise security and performance benchmarks. Container Orchestration: Deploy and fine-tune containerized workloads within Azure Kubernetes Service (AKS) environments. DevOps Ownership: Drive the automation of build, test, and release cycles, taking full accountability for the CI/CD pipelines of your assigned services. Data Persistence & Management: Design efficient data storage strategies (SQL, Cosmos DB, Storage) and expose secure, high-performance interfaces through Azure API Management (APIM) . Strategic Collaboration: Partner with architects and platform teams to monitor system health via App Insights/Log Analytics, ensuring continuous reliability and optimization. Required Skills & Experience: Technical Mastery: Extensive professional experience in backend development using C# and the .NET ecosystem . Cloud Expertise: Deep practical knowledge of Microsoft Azure core services, specifically AKS, APIM, and distributed messaging platforms. Architectural Literacy: Proven ability to work with Microservices and distributed systems, including sophisticated data modeling in both relational and NoSQL databases. DevOps Mindset: Hands-on proficiency with CI/CD automation tools and a strong commitment to Infrastructure as Code (Terraform) . Agile Adaptability: Experience thriving in fast-paced, iterative delivery teams with a focus on solving complex technical challenges. Impactful Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders while adhering to best practices in documentation.

🏢 Summary: Senior Network Engineer role focused on designing and delivering a global AWS-based network backbone across multiple regions. The position centers on building secure, scalable connectivity using AWS Cloud WAN, AWS Network Firewall, and Terraform-driven infrastructure as code. The role combines hands-on implementation, automation, and multi-region network optimization in a cloud-first environment. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Hands-on expertise with AWS Cloud WAN and multi-region connectivity, Strong proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Experience with network automation and DevOps practices, Ability to troubleshoot complex multi-region network environments 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, IaC, DevOps, Agile, Routing, Automation, Monitoring, Troubleshooting 🏢 Description: Key Responsibilities: - Deliver the entire global network backbone infrastructure across IAD, PDX, and DUB regions as defined in the project plan. - Build centralized egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions. - Build and maintain AWS Cloud WAN infrastructure to provide seamless connectivity and routing across our global network footprint. - Develop and maintain infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments. - Collaborate with security architects, cloud engineers, and other stakeholders to understand requirements and translate them into robust network architectures and technical specifications. - Drive the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services. - Lead by example through hands-on technical work while mentoring other network engineers, providing technical guidance and knowledge transfer. - Ensure the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement - Drive the adoption of best practices in network engineering, including infrastructure as code or automation-first approaches. - Troubleshoot and resolve complex network issues across multi-region environments in a timely manner. - Stay up-to-date with the latest AWS networking services, industry trends, and technologies to ensure our infrastructure remains competitive and efficient. Required Skills and Experience: - 5+ years of experience in network engineering, with a focus on enterprise cloud networking solutions. - Deep, hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity. - Strong proficiency in Terraform for infrastructure as code, with proven experience managing complex network deployments. - Extensive experience designing and implementing centralized egress architectures using AWS Network Firewall, including policy management and traffic inspection. - Proven track record of delivering large-scale network infrastructure projects in a fast-paced environment. - Excellent problem-solving skills and the ability to think critically and creatively about complex network challenges. - Strong communication and collaboration skills, with the ability to work effectively in a cross-functional, team-oriented environment. - Experience with agile methodologies and DevOps practices applied to network infrastructure. - Ability to communicate fluently in English.