Senior Software Engineer - Openflow Connectors

🏢 Summary: Design and build a modern data platform from scratch for an insurance client, covering architecture, data ingestion, modelling, and production operations. The role focuses on establishing a governed, scalable Snowflake-based environment to enable reliable reporting and AI capabilities. You will take ownership across the full data lifecycle, from requirements definition to deployment and maintenance. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (BigQuery, Redshift or Snowflake), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design and maintenance, Experience with AWS, GCP or Azure cloud services, Ability to design and build data ingestion and processing pipelines, Experience working in Agile environment, Understanding of data governance and data quality concepts 📃 Skills: Python, SQL, Snowflake, BigQuery, Redshift, Databricks, Azure, AWS, GCP, Terraform, dbt, PowerBI, Spark, ETL, CI/CD 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project Data Foundation & AI Enablement Project Scope We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation. We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness. Tech stack SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform Challenges The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas: Establishing a production-ready, fully operational Snowflake environment and driving operational excellence. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation. Taking ownership from concept to deployment. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards. Team We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations. Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals. Team The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Mid Python Engineer role focused on building scalable backend services, REST APIs, and cloud-native solutions in Azure environments for large-scale data-driven products. The position involves working with Python, FastAPI, PostgreSQL, Docker, CI/CD pipelines, and Agentic AI integrations in global enterprise projects. Remote-first work model with opportunities for technical ownership, architecture contributions, and professional growth. 🗂️ Requirements: 2+ years commercial experience as a Python Engineer, Strong proficiency in Python, Experience with FastAPI or comparable async frameworks, Hands-on experience with PostgreSQL, Experience with Docker containerization, Experience deploying applications on Azure, Experience with GitHub Actions or similar CI/CD tooling, Understanding of spec-driven development, Exposure to Agentic AI or LLM-based systems, Clear communication skills in English, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, FastAPI, PostgreSQL, Docker, Azure, GitHub, CI/CD, REST, AI, LLM, MLOps, Terraform, Bicep, Microservices, DevOps 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Mid Python Engineer, you will design and build robust backend services and APIs that power data-driven products used by real users at scale. You'll work on meaningful, complex problems in a cloud-native environment - from architecting reliable API layers to integrating Agentic AI capabilities into production systems. Our clients include Fortune 500 companies, so your work will have real visibility and measurable impact in high-stakes, global organizations. Your Responsibilities Designing and building scalable, production-grade backend services and REST APIs using Python and FastAPI. Owning your work end-to-end - from initial spec and design through deployment and monitoring. Working with PostgreSQL to model, query, and optimize data storage for reliability and performance. Containerizing and deploying services using Docker and Azure Container Apps. Managing cloud infrastructure and integrations across Azure services (Storage, Key Vault, Networking). Building and maintaining CI/CD pipelines with GitHub Actions to support continuous, reliable delivery. Integrating and developing Agentic AI solutions within backend systems. Collaborating closely with engineers, product owners, and stakeholders across disciplines - translating complex requirements into clear technical solutions. Conducting code reviews and contributing to a culture of quality, documentation, and shared ownership. Leveraging AI tools in day-to-day work to enhance productivity and output quality. What We're Looking For 2+ years of experience as a Python Engineer in a commercial environment. Strong proficiency in Python and FastAPI (or comparable async frameworks). Hands-on experience with PostgreSQL - schema design, querying, performance tuning. Solid understanding of containerization with Docker and cloud deployments on Azure (Container Apps, Storage, Key Vault, Networking). Experience with GitHub Actions or similar CI/CD tooling. Familiarity with spec-driven development - ability to work from and contribute to detailed technical specifications. Exposure to Agentic AI concepts or LLM-based systems in a production or near-production context. Strong sense of ownership and reliability - you follow through, communicate proactively, and take responsibility for outcomes. Ability to communicate clearly across disciplines - comfortable working with both technical and non-technical stakeholders. Fluent English communication, able to collaborate effectively across international teams. Nice to Have Experience with microservices or event-driven architecture. Familiarity with infrastructure-as-code tools (e.g. Bicep, Terraform). Knowledge of web application security best practices. Experience with ML pipelines or MLOps tooling. Familiarity with Azure DevOps. Here's why you'll love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first, work from anywhere in the world (workation) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure - every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunities CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: The offer is for an experienced DevOps Engineer with strong Snowflake expertise to support, optimize, and scale modern data infrastructure in a global, data-driven environment. The role focuses on ensuring high availability, performance, and reliability of data platforms while driving automation and CI/CD best practices. It involves managing Snowflake environments and improving cloud and DevOps maturity across distributed teams. 🗂️ Requirements: 6+ years of DevOps engineering experience, Hands-on experience with Snowflake, Experience with cloud environments, Experience with infrastructure automation, Knowledge of CI/CD tools and practices 📃 Skills: Snowflake, DevOps, CI/CD, Cloud, Automation, Monitoring, Logging 🏢 Description: We are looking for an experienced DevOps Engineer with strong Snowflake expertise to join an international, data-driven environment within a global enterprise operating in the consumer goods industry . About the role: The DevOps Engineer will be responsible for supporting, optimizing, and scaling modern data infrastructure with a strong focus on Snowflake. The role involves ensuring high availability, performance, and reliability of data platforms, as well as driving automation and CI/CD best practices across the environment. Key responsibilities: Design, implement, and maintain DevOps processes and infrastructure Manage and optimize Snowflake environments Build and support CI/CD pipelines and deployment automation Ensure monitoring, logging, and operational stability of data platforms Collaborate with international, distributed engineering teams Drive improvements in cloud infrastructure and DevOps maturity Requirements: Strong background in DevOps engineering (6+ years of experience) Hands-on experience with Snowflake Experience with cloud environments and infrastructure automation Knowledge of CI/CD tools and practices Strong problem-solving skills and ability to work in complex environments Work model: Nearshore / Offshore collaboration depending on profile We are looking for a professional who enjoys working in large-scale data environments and is passionate about automation, reliability, and performance optimization.

🏢 Summary: Senior DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Senior Java Engineer role focused on building and maintaining an enterprise-scale governed data access management platform on Azure Databricks for a Fortune 500 client. The position involves developing cloud-native backend services, workflow orchestration, secure authentication, and database solutions in a collaborative AI-driven environment. The offer includes remote-first work, flexible hours, professional development support, and opportunities to influence architecture and strategic initiatives. 🗂️ Requirements: 5+ years commercial experience as a Java engineer, Strong Java and Spring expertise, Experience with backend system design, Hands-on experience with Temporal.io or similar workflow orchestration frameworks, Experience with Azure services including App Service, Key Vault, Graph API, networking, and DevOps Pipelines, Knowledge of Docker and Docker Compose, Strong SQL and MSSQL skills, Understanding of OAuth2 authentication and authorization, Experience with Spock and Groovy testing or willingness to learn, Strong communication skills, Fluent English 📃 Skills: Java, Spring, Temporal, Azure, Docker, MSSQL, SQL, OAuth2, Spock, Groovy, Databricks, Terraform, UnityCatalog 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Senior Java Engineer at Cloudfide, you will work on an enterprise-scale platform for a Fortune 500 client - a governed data access management system built on Azure Databricks and Unity Catalog. The platform handles provisioning and lifecycle management of data infrastructure objects at scale, serving as a critical layer between the business and its Data Lake. This is a role for an engineer who thinks before coding. You'll be working on a system where precision matters - changes are surgical, conventions are respected, and simplicity is a feature, not an afterthought. You'll collaborate closely with the client's technical stakeholders and contribute to a product that directly shapes how a large enterprise governs and accesses its data assets. Expect a collaborative, AI-forward environment where thinking outside the box is encouraged and your proactivity is genuinely valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth. Your Responsibilities Designing and building robust, production-grade Java APIs and backend services using Java 25 and Spring. Implementing and maintaining workflow orchestration with Temporal.io for reliable, long-running process management. Working with Azure services - App Service, Key Vault, Graph API, networking, and DevOps Pipelines - to deliver and operate cloud-native solutions. Containerizing and managing services with Docker and Docker Compose. Designing and working with MSSQL databases, ensuring data integrity and query efficiency. Implementing secure authentication and authorization using OAuth2. Writing meaningful, well-structured tests using Spock and Groovy. Making deliberate, targeted code changes - respecting existing conventions and minimizing unintended side effects. Communicating clearly with both technical peers and client stakeholders, contributing to shared understanding of goals and constraints. Leveraging AI tools in day-to-day work to enhance productivity and output quality. What We're Looking For 5+ years of commercial experience as a Java engineer with proven depth in backend system design. Strong proficiency in Java (ideally up to date with recent versions) and Spring ecosystem. Hands-on experience with Temporal.io or comparable workflow orchestration frameworks. Solid Azure experience - App Service, Key Vault, Graph API, networking, and DevOps Pipelines. Practical knowledge of Docker and Docker Compose for containerized development and deployment. Strong SQL and MSSQL skills - comfortable with schema design, querying, and optimization. Solid understanding of OAuth2 and modern authentication/authorization patterns. Experience with Spock/Groovy for testing, or strong willingness to adopt it. Simplicity-first mindset - you design for clarity, not cleverness, and your default is to do less, better. Goal-driven execution - you understand the why behind tasks and make decisions that serve the outcome, not just the ticket. Surgical approach to changes - you respect conventions, assess impact before acting, and avoid unnecessary scope creep. Strong communication skills - able to engage with technical peers and non-technical stakeholders with equal clarity. Fluent English, able to collaborate effectively across international teams. Nice to Have Familiarity with Databricks and Unity Catalog concepts. Experience with Terraform or infrastructure-as-code practices. Background in data governance, access management, or enterprise data platform engineering. Experience working in large-scale, multi-tenant enterprise environments. Here's why you'll love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives — most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first, work from anywhere in the world (workation) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure — every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunities CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: Role for a Data Architect responsible for designing and optimizing logical data models and ETL/ELT processes in a Snowflake environment to support decision-making. The position focuses on building efficient, scalable data architectures and bridging business requirements with technical solutions. The offer emphasizes ownership of data modeling, performance optimization, and modern data warehouse development. 🗂️ Requirements: Proven experience in data modeling design and implementation, Experience in designing and optimizing ETL/ELT processes, Experience with Snowflake and large datasets, Knowledge of data warehouse architectures, Experience with relational database design, Ability to translate business requirements into technical data solutions, Experience with data modeling tools, English level B2 or higher, Polish language proficiency 📃 Skills: Snowflake, SQL, Python, Jinja, Snowpark, DBT, Dagster, Airbyte, GitLab, ETL, ELT, DataModeling, DataWarehousing, Databases 🏢 Description: Czy to Ciebie szukamy? Szukamy eksperta, który dołączy do Data Architects Team i weźmie odpowiedzialność za projektowanie logicznego modelu danych wspierającego procesy decyzyjne naszej organizacji. Twoim nadrzędnym celem będzie optymalizacja procesów ETL/ELT, co bezpośrednio przełoży się na maksymalną wydajność i spójność naszego ekosystemu analitycznego. Wykorzystując środowisko Snowflake i język SQL, staniesz się pomostem między światem biznesu a technologią, kształtując nowoczesną architekturę danych. Dołącz do nas, jeśli cenisz niezależność i chcesz mieć realny wpływ na innowacyjne rozwiązania w zarządzaniu danymi. Twoja rola w naszym zespole: analiza wymagań biznesowych i ich transformacja na techniczne rozwiązania rozwijające nasz model danych, zarządzanie logicznymi modelami odzwierciedlającymi strukturę informacji i realnie wspierającymi działania biznesowe, projektowanie oraz ciągła optymalizacja procesów ETL / ELT gwarantująca ich najwyższą wydajność i niezawodność, modelowanie zdarzeń biznesowych i tworzenie struktur w bazach relacyjnych pod kątem przepływu danych, identyfikowanie i wdrażanie nowych rozwiązań technologicznych usprawniających obszar zarządzania informacją, tworzenie i aktualizacja przejrzystej dokumentacji architektonicznej celem zapewnienia zgodności i łatwości utrzymania systemów. Co musisz umieć: Doświadczenie: doświadczenie w projektowaniu i wdrażaniu modeli danych, doświadczenie w projektowaniu przetwarzań danych ETL / ELT oraz struktur bazodanowych, doświadczenie w przygotowywaniu projektów architektonicznych z zakresu modelowania danych, doświadczenie w pracy ze środowiskiem Snowflake i dużymi zbiorami danych, znajomość architektur hurtowni danych oraz narzędzi do modelowania danych. Języki: polski, angielski na poziomie co najmniej B2. Znajomość narzędzi: środowisko Snowflake (mile widziany badge Snowflake Badge 1-6 i Snowflake Certificate Pro), SQL, Python, Jinja, Snowpark, narzędzia: DBT, Dagster, Airbyte, repozytorium GitLab lub podobne. Umiejętności miękkie: umiejętność przejrzystej i efektywnej komunikacji z inżynierami i interesariuszami biznesowymi, zdolność tłumaczenia złożonych zagadnień na prosty i zrozumiały język techniczny oraz biznesowy, samodzielność, kreatywność oraz nastawienie na współpracę i wspólne rozwiązywanie problemów, elastyczność i interdyscyplinarność. Co dostajesz w pakiecie: prywatna opieka LuxMed, bezpłatne badania profilaktyczne oraz masaże odciążające kręgosłup, budżet na doposażenie stanowiska pracy zdalnej oraz vouchery podarunkowe, śniadania w formie bufetu przygotowywane na miejscu, wyjazdy integracyjne i rodzinne do prywatnego ośrodka nad jeziorem, dofinansowanie karty Multisport. Kim jesteśmy i dlaczego warto nas poznać: Trans.eu W sercu cyfrowej rewolucji w transporcie. Od 2004 roku tworzymy jedną z największych platform logistycznych w Europie , łącząc przewoźników, spedytorów i załadowców w jednym miejscu. Automatyzujemy procesy, podnosimy bezpieczeństwo transakcji i sprawiamy, że transport jest bardziej efektywny . Jesteśmy międzynarodową firmą technologiczną działającą w 63 krajach, i dopiero się rozkręcamy. Tworzymy nowoczesne cyfrowe rozwiązania dla transportu, spedycji i logistyki, napędzane wiedzą najlepszych programistów, specjalistów customer experience, inżynierów machine learning i ekspertów AI . Jeśli chcesz kształtować przyszłość technologii w transporcie - to miejsce dla Ciebie! W Trans.eu wierzymy w Smart & Fair Logistics - bardziej wydajną i transparentną branżę. Dlatego powiększyliśmy naszą grupę kapitałową, budując sieć wyspecjalizowanych firm, które pomagają nam realizować tę misję.

🏢 Summary: Backend Engineer role focused on building and scaling the core architecture behind AI Agents, including reasoning layers, RAG systems, and high-volume conversational infrastructure. The position involves designing agentic orchestration, modernizing legacy systems, and integrating AI capabilities into scalable microservices running in production. You will work hands-on with LLM integrations, vector databases, and cloud-native infrastructure to support millions of daily conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on expertise in Node.js, Strong hands-on expertise in TypeScript, Experience with async programming, queues, and streams, Experience with real-time communication (WebSockets, service-to-service messaging), Commercial experience implementing RAG and Agentic systems in production, Experience with Function Calling and LLM integrations, Deep understanding of context management and multi-turn conversations, Experience with SQL databases (PostgreSQL), Experience with NoSQL databases (Elasticsearch), Experience with Vector Databases and embeddings, Experience with Google Cloud Platform, Experience with Kubernetes, Ability to design and maintain RESTful APIs, Experience working with microservices and scalable systems 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, LangGraph, LLMs, RAG, MCP, PubSub, WebSockets, SSE, Webhooks, Prometheus, Grafana, Vitest, Supertest, Playwright, Go, ETL, Microservices, Concurrency, Async, Streams, Queues, GitHubActions 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Senior Backend Engineer role focused on building and scaling the core AI backend powering advanced AI Agents, including reasoning layers, RAG systems, and real-time integrations. The position involves designing scalable architectures, implementing agentic orchestration with tool calling, and modernizing legacy systems into a high-performance AI ecosystem. You will work hands-on with Node.js and TypeScript to deliver production-ready AI-driven features handling millions of conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on Node.js experience, Strong hands-on TypeScript experience, Fluency in async programming, queues, streams, Experience with WebSockets and async messaging, Commercial experience implementing RAG systems, Experience with Function Calling in production, Experience building Agentic systems, Context window and multi-turn conversation management, Experience with SQL and NoSQL databases, Experience with Vector Databases and embeddings, Experience with GCP and Kubernetes, Experience with microservices architecture, Experience with Docker-based deployments 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, PubSub, WebSockets, SSE, LLMs, LangGraph, RAG, MCP, GitHub, Prometheus, Grafana, Vitest, Supertest, Playwright, Go 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Full-Stack Senior Software Engineer role focused on building user-facing web applications and conversational interfaces for AI-driven logistics systems. The position involves designing intuitive human–AI interaction flows and integrating frontend applications with backend services and agent-based AI systems. It combines strong frontend development with backend integration to deliver scalable, high-quality end-to-end solutions. 🗂️ Requirements: Strong full-stack software engineering experience, Proficiency in JavaScript and TypeScript, Experience with React or similar frontend frameworks, Solid understanding of backend systems and APIs, Experience integrating frontend with backend services and APIs, Experience building user-facing applications with focus on usability and performance, Understanding of UX principles and interaction design, Experience working with asynchronous workflows and real-world data, Familiarity with AI-powered applications or conversational interfaces, Experience with cloud platforms (AWS, GCP, or Azure), Strong debugging skills across frontend and backend 📃 Skills: JavaScript, TypeScript, React, Next.js, APIs, REST, UX, LLM, AWS, GCP, Azure, HTML, CSS 🏢 Description: What's the role? We are looking for a strong Full-Stack Senior Software Engineer to build intuitive, high-quality user experiences for next-generation agentic AI solutions in the logistics domain. The systems developed by this team optimize deliveries at scale improving driver efficiency, increasing reliability, reducing operational costs, and lowering environmental impact. In this role, you will develop user-facing web applications and conversational interfaces that enable users to interact seamlessly with AI-powered systems. You will focus on creating clear, efficient, and reliable human–AI interaction flows, while integrating tightly with backend services, agent systems, and APIs. This is a hands-on role that requires both strong frontend expertise and solid backend understanding , along with a sharp sense of product and user experience. What You’ll Do: Design and build user-facing web applications and conversational interfaces for AI-driven logistics workflows Develop intuitive human AI interaction flows that make complex system behavior understandable and usable Implement frontend applications using modern frameworks (e.g., React, Next.js) with a strong focus on performance and usability Integrate UI layers with backend services, agent systems, and APIs to deliver end-to-end functionality Collaborate with backend engineers and AI engineers to ensure smooth data flow and system interactions Translate product requirements and user needs into clean, usable, and scalable UI solutions Contribute to backend components where needed (e.g., API integration, lightweight services, orchestration logic) Ensure high-quality delivery through testing, monitoring, and continuous iteration based on user feedback Improve overall user experience through better workflows, interaction patterns, and system responsiveness Leverage AI-assisted development tools to improve development speed and code quality Who are you? What We’re Looking For: Software engineering experience with strong full-stack development skills Strong proficiency in frontend technologies (JavaScript/TypeScript, React or similar frameworks) Solid understanding of backend systems, APIs, and service integration patterns Experience building user-facing applications with a focus on usability, performance, and maintainability Good understanding of UX principles and ability to design flows that simplify complex systems Experience integrating with APIs and working with real-world data and asynchronous workflows Familiarity with AI-powered applications (e.g., conversational interfaces, LLM integrations, agent-driven systems) is a strong plus Experience with cloud platforms (AWS, GCP, or Azure) and modern development practices Strong debugging and problem-solving skills across frontend and backend layers Ability to work independently on well-defined problems and collaborate effectively in cross-functional teams Good communication skills and a strong sense of ownership What We Offer: The opportunity to tackle meaningful and challenging problems A chance to continuously learn and stay on top of the latest technology trends Work that has real-world impact, shaping the future of mobility and technology Regular feedback to help you grow and succeed in your role A collaborative and supportive team environment where your contributions are valued Competitive salary plus bonus Flexible working hours and a hybrid working environment Medical coverage for you and your family This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu) Option to work on a B2B contract (please note: benefits, bonus and KUP do not apply in this case) Change is HERE. Apply Now! #LI-AK8   #LI-HYBRID Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code. As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. Apply for this job online Email this job to a friend Share on your newsfeed Connect With Us! Not ready to apply? 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🏢 Summary: Mid/Senior Fullstack Engineer role focused on building and evolving a custom asset management platform for a Fortune 500 client using Java, Spring Boot, React, and cloud-native technologies. The position involves end-to-end ownership of scalable backend and frontend features, database design, CI/CD, and collaboration in an AI-driven engineering environment. Remote-first work with opportunities for technical growth, architecture influence, and long-term cooperation. 🗂️ Requirements: 3+ years of commercial fullstack engineering experience, Strong Java proficiency, Strong Spring Boot proficiency, Strong React proficiency, Experience with modern frontend patterns, Solid SQL skills, Database design experience, Experience with structured and unstructured data models, Hands-on GitHub experience, Hands-on GitHub Actions experience, Familiarity with Azure cloud services, Experience with CI/CD pipelines, Fluent English 📃 Skills: Java, Spring, SpringBoot, React, Next.js, Tailwind, SQL, GitHub, GitHubActions, Azure, CI/CD, REST, APIs 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Mid/Senior Fullstack Engineer (Java/React), you will work on a custom-built platform for a Fortune 500 client - a sophisticated asset management and organization system handling diverse, high-volume data: images, 3D models, PDFs, structured datasets, and more. The platform ingests large, continuously growing volumes of data, supports rich tagging and classification, and is built entirely from scratch with a custom frontend and backend. This is a genuine full-stack role on a project where both sides of the stack matter equally. You'll have direct ownership over features end-to-end, work closely with the client, and help shape a platform that sits at the intersection of data engineering and user experience. Expect a collaborative, AI-forward environment where thinking outside the box is encouraged and your proactivity is genuinely valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth. Your Responsibilities Building and evolving scalable backend services using Java and Spring Boot, including REST APIs, business logic, and integrations. Developing modern, responsive frontend interfaces with React, Next.js, and Tailwind CSS. Taking full end-to-end ownership of features - from backend data modeling through to UI delivery - without requiring handoffs. Designing and working with databases handling both structured and unstructured asset data, writing solid, optimized SQL. Managing deployments and CI/CD pipelines using GitHub Actions and Azure cloud services. Making pragmatic build-vs-reuse decisions - knowing when a custom solution adds value and when it doesn't. Collaborating clearly with both technical peers and non-technical stakeholders, translating between business needs and engineering solutions. Contributing to code reviews, architectural discussions, and continuous improvement of the codebase. Leveraging AI tools in day-to-day work to enhance productivity and output quality. What We're Looking For 3+ years of commercial experience as a fullstack engineer with real depth on both backend and frontend - not a specialization in one with tolerance for the other. Strong proficiency in Java and Spring Boot - non-negotiable. Strong proficiency in React and modern frontend patterns (Next.js experience a strong plus). Solid database and SQL skills across both structured and unstructured data models. Hands-on experience with GitHub and GitHub Actions for version control and CI/CD. Familiarity with Azure cloud services and cloud-native deployment practices. Pragmatic problem-solving mindset - able to navigate ambiguity, prioritize effectively, and deliver without excessive hand-holding. Clear communicator across technical and non-technical audiences. Fluent English, able to collaborate effectively in an international environment. Nice to Have Experience with Tailwind CSS. Familiarity with asset management, DAM systems, or platforms handling large volumes of mixed-type files. Experience working with unstructured or semi-structured data at scale. Knowledge of web application security best practices. Azure DevOps familiarity. Here's why you'll love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first, work from anywhere in the world (workation) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure - every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunities CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.