Forward Deployed Engineer - GTM

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.

🏢 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: Senior backend‑heavy fullstack engineer to build a greenfield prenatal screening diagnostics product, owning features end‑to‑end across backend and frontend. The role focuses on Java/Spring Boot architecture, data modeling, APIs, and AWS infrastructure, with React/TypeScript contributions as needed. AI coding tools are expected as a core part of daily development in a regulated, production environment. 🗂️ Requirements: Strong Java and Spring Boot expertise, Experience designing APIs and domain models, Solid understanding of OOP and SOLID principles, Ability to define service boundaries and system architecture, Working proficiency in React and TypeScript, Proven experience using AI coding tools in daily development, Experience writing unit, integration, and API tests, Experience with PostgreSQL schema design and query optimization, Experience deploying and operating workloads on AWS, Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, OOP, SOLID, REST, AI, Claude, Cursor, Testing 🏢 Description: Our client — a global leader in healthcare and diagnostics — is building a new prenatal screening diagnostics product from the ground up. We are looking for a senior backend‑heavy fullstack engineer who can own features end‑to‑end — from data modeling and APIs to the UI. The role offers real ownership within a highly regulated, impact‑driven product environment. Using AI tooling as a core part of daily engineering work is expected — not as an experiment, but as a standard way of building and delivering software. What You'll do: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Nice-to-Have: Infrastructure as Code (Terraform) Healthcare, diagnostics, or regulated-environment experience Security hardening practice — threat modeling, dependency scanning, secure defaults Observability tooling (CloudWatch, Prometheus, Grafana) CI/CD pipeline design (GitHub Actions or similar) Our offer: Permanent full-time contract (B2B contract) Ability to work entirely remotely or in one of our cool offices around Poland International project environment - challenging and rewarding projects Access to private medical service, life insurance, and multisport card Access to training and certificate courses (including free access to Udemy training platform) Cafeteria Benefits System - vouchers for purchases and sevices Awesome company events and parties

🏢 Summary: Leadership role for a Lead Backend Engineer to build and evolve an API-first, event-driven payments platform based on microservices deployed to Kubernetes/AWS. The position combines hands-on development in Java with technical ownership of architecture, API design, and distributed systems reliability. The platform focuses on scalable, observable and idempotent payment processing with strong API gateway integration. 🗂️ Requirements: Minimum 8 years backend development experience, Minimum 5 years experience as development team lead, Strong experience building microservices in Java and/or Python, Solid understanding of event-driven architecture and Kafka, Experience with reactive patterns and idempotency, Strong knowledge of relational databases and PostgreSQL, Experience with SQL, data modelling and migrations (Flyway), Hands-on experience deploying to Kubernetes (preferably EKS), Experience with AWS services, API Gateway experience (authentication, routing, rate limiting), Experience with CI/CD pipelines and GitOps, Experience troubleshooting distributed systems, Understanding of payments engineering (transaction lifecycle, settlement, reconciliation), Experience working in Scrum and sprint-based delivery 📃 Skills: Java, Python, Kubernetes, EKS, AWS, Kafka, PostgreSQL, SQL, Flyway, GitLab, FluxCD, GitOps, CICD, Mulesoft, Terraform, Dynatrace, Datadog, NewRelic, OpenTelemetry, XRay, CloudWatch, Scrum 🏢 Description: About the company Autopay Global is the newest member of the Autopay family, aiming to expand the reach of the group’s state-of-the-art payment integration and payment data technologies to the international market, providing seamless integration with local PSPs, support for multiple currencies and compliance with local frameworks. We have a very forward-looking approach to our products, we value creativity, passion and drive to leverage the newest achievements in technology to our advantage. To support our dynamic expansion, we are looking for a new Lead Backend Engineer. About the role Lead Backend Engineer is a leader of a team of engineers working on delivering the Autopay Payments Platform as an API-first platform, consisting of Merchant APIs and PSP/Rail APIs, fronted by an API gateway and backed by event-driven microservices on Kubernetes/AWS. The Platform is aiming to be Agentic-Ready – its APIs and events can be safely consumed by automations and agents at scale – contract-first, deterministic, idempotent, observable and fast. The role merges team supervision with hands-on duties so it requires both software development experience as well as interpersonal and management skills. Your primary duties will be to: c ommunicate with business stakeholders to make sure the product requirements are clearly understood and deliverable, work with other team leaders on alignment with architecture, infrastructure and data management guidelines, support the members of your team with your expertise and insight when dealing with their current workload, review the work of your team members to ensure a reliable delivery of features in two-week sprints, create, document, explain and enforce best coding practices and patterns, o nboard new team members and ensure a frictionless introduction to the project. Get involved in designing, coding, testing, fine-tuning and shipping the elements of the Autopay Payments Platform, taking into consideration the following aspects: containerization of microservices, event-driven architecture and reactive patterns, replay handling, idempotency, retry and ordering strategies, API-Gateway compatibility for authentication, authorization, rate limiting, and traceability, performance optimization, caching and connection pooling, relational schema design, migration, maintenance and tunin, deployment to Kubernetes clusters, observability with alignment to central monitoring stacks. What tools will you be working with? technologies: Java, Kubernetes, Kafka, PostgreSQL, AWS nice to have: k nowledge of Python programming language and tooling, experience with stack observability platforms such as Dynatrace, Datadog or New Relic, familiarity with Mulesoft Anypoint Platform will be a great advantage, understanding of IaC solutions with focus on Terraform If any technical concepts are unfamiliar to you, don’t worry. We will be happy to support you and teach you everything you need. Requirements and skills we are looking for in the person hired for this role: minimum 8 years of experience as a backend developer, minimum 5 years of experience on a development team lead position or equivalent, exposure to payments engineering – understanding of transaction lifecycle, settlement and reconciliation concepts, strong leadership qualities and interpersonal skills, ability to understand existing code for review purposes, proven backend engineering track record building microservices in Java and/or Python solid understanding of event-driven architecture, queues and topics (Kafka), reactive programming patterns with at-least-once semantics and idempotency, solid understanding of relational databases (preferably PostgreSQL), data modelling, modern SQL, migrations (preferably Flyway) and performance optimization, strong experience with deploying applications to Kubernetes clusters (preferably EKS other AWS tooling like X-Ray/ CloudWatch and/or OpenTelemetry), familiarity with GitOps practices and working with CI/CD pipelines (preferably Gitlab and FluxCD), API Gateway experience, including policies, routing, versioning, authentication and rate limiting, solid experience with troubleshooting in distributed environments; setting up tooling to support debugging, performance metrics etc., proven track record of participation in Scrum projects and ability to work in sprints, growth mindset and ability to apply new technologies, patterns or solutions to the current workstream (i.e. GenAI-assisted coding) What do we offer? leadership role in a fast-growing, global fintech company, possibility to work with cutting-edge tools and technologies, independence in decision-making, friendly working environment, team support, no dress code. Join us and let's head together where no one has gone before! !

🏢 Summary: Leadership role combining people management with hands-on technical responsibility for hybrid infrastructure (On-Premise & Cloud). The position focuses on reliability, architecture design, automation, IAM governance, and development of DevOps and IT Support teams. The role requires active involvement in Kubernetes environments, Infrastructure as Code, and cloud platforms while shaping infrastructure standards and strategy. 🗂️ Requirements: Experience as Manager or Team Leader, Experience with hybrid infrastructure (On-Premise and public cloud), Experience managing Kubernetes clusters, Knowledge of at least one scripting/programming language (Python, Go or Bash), Experience with Infrastructure as Code approach, Experience designing Active Directory or Entra ID structures, Experience implementing IAM policies and access management processes, Knowledge of privileged access management (PAM), Experience with automation in infrastructure and IT operations, English proficiency minimum B2 📃 Skills: Kubernetes, AWS, Azure, Terraform, Ansible, Puppet, Python, Go, Bash, Linux, Windows, VMware, Proxmox, ActiveDirectory, EntraID, Okta, Vault, Keycloak, GitLab, PostgreSQL, MongoDB, Redis, Kafka, Debezium, HAProxy, PaloAlto, Juniper, Prometheus, Grafana, Zabbix, Dynatrace, ELK, VictoriaMetrics, OpsGenie, Intune, FluxCD, Crossplane 🏢 Description: O Autopay Autopay tworzy technologie, które upraszczają codzienne płatności i procesy finansowe dla milionów użytkowników. Działamy na styku fintechu, produktów cyfrowych i nowoczesnych technologii, budując rozwiązania wykorzystywane każdego dnia. Twoja rola Szukamy Lidera, który łączy dwie perspektywy: potrafi skutecznie prowadzić zespół, a jednocześnie pozostaje blisko technologii i architektury. To rola dla Managera‑praktyka, osoby, która rozumie infrastrukturę „od środka”, bierze aktywny udział w kluczowych decyzjach technicznych i architektonicznych oraz nie ogranicza swojej roli wyłącznie do zarządzania. Na tym stanowisku będziesz odpowiadać za rozwój i stabilność hybrydowej infrastruktury (On‑Premise & Cloud), a także za prowadzenie zespołów DevOps oraz IT Support. Jednocześnie będziesz realnie uczestniczyć w projektowaniu architektury, definiowaniu standardów, automatyzacji i kierunków rozwoju platformy infrastrukturalnej, blisko współpracując z zespołami Platform Engineering, Product oraz Data Engineering. Szukamy osoby, która ma doświadczenie liderskie, ale wciąż czuje się swobodnie w pracy technicznej, potrafi przełożyć strategię na konkretne decyzje architektoniczne i jest naturalnym partnerem technicznym dla engineering leadership. Jeśli dobrze odnajdujesz się w środowiskach Kubernetes, chmury i Infrastructure as Code, rozumiesz zarówno operacje infrastrukturalne, jak i Developer Experience, a automatyzację traktujesz jako sposób upraszczania - ta rola może być dla Ciebie. Będziesz odpowiadać za: 1. Infrastruktura IT i Chmura: dostarczanie infrastruktury, na której budują usługi zespoły inżynieryjne (Platform Engineering, Data & Product Engineering) , liderowanie działem infrastruktury liczącym około 20 ekspertów w obszarach DevOps , NetOps , SysOps , DBA oraz IT Support, odpowiedzialność za niezawodność, rozwój i optymalizację środowisk hybrydowych: Data Center / On- Premise , chmura publiczna (AWS/ Azure ) oraz klastry Kubernetes, zapewnienie zgodności infrastruktury produkcyjnej z wymogami audytowymi i regulacyjnymi (m.in. KNF, PCI DSS, ISO 27001) oraz zarządzanie dostępem uprzywilejowanym do systemów krytycznych (PAM), nadzór nad budżetem technologicznym (OPEX/CAPEX), zarządzanie kontraktami i relacjami z kluczowymi dostawcami chmury, sprzętu serwerowego i sieciowego ( Vendor Management). 2. IT Support i Digital Workplace: zarządzanie narzędziami i usługami IT dla pracowników (Digital Workplace ) oraz zespołami wsparcia ( około 5 osób ) w ramach HelpDes k / IT Suppor t , definiowanie i egzekwowanie polityk tożsamości i dostępów (IAM), w tym mechanizmów Segregation of Dut ies oraz zasady najmniejszych uprawnień ( Least Privilege ), standaryzacja i automatyzacja procesów IT onboardingu i offboardingu we współpracy z HR i Security, nadzór nad architekturą usług katalogowych (Active Directory / Entra ID) oraz systemami zarządzania urządzeniami końcowymi (MDM, np. Intune), opieka nad systemami biznesowymi klasy Enterprise - od doboru i wdrożenia, przez utrzymanie, po optymalizację kosztów licencyjnych, automatyzacje procesów w zespołach operacyjnych. Kogo szukamy? Szukamy osoby, która: pracowała już z zespołem w charakterze Managera/Team Leadera, potrafi połączyć myślenie strategiczne z praktycznym podejściem do złożonych wyzwań technicznych, ma doświadczenie w budowaniu i zarządzaniu środowiskami hybrydowymi (Data Center / On-Premise + chmura publiczna) oraz klastrami Kubernetes, zna co najmniej jeden język programowania/skryptowania (Python / Go / Bash) oraz ma doświadczenie w pracy z podejściem Infrastructure as Code, projektowała już struktury usług katalogowych (Active Directory / Entra ID), wdrażała polityki IAM oraz budowała procesy zarządzania tożsamością i dostępami w organizacji, korzysta z narzędzi AI wspierających automatyzację infrastruktury i operacji IT (np. AI-assisted IaC, AIOps), bardzo dobrze komunikuje się w j. angielskim (min. B2). Nasz stack technologiczny: Wirtualizacja : VMware , Proxmox, Chmura : AWS, Azure, Systemy operacyjne : Linux (95%), Windows, Konteneryzacja i orkiestracja : Kubernetes , FluxCD , Crossplane, IaC i automatyzacja : Terraform , Ansible , Puppet , n8n, CI/CD : GitLab CI, Bazy danych : PostgreSQL , MongoDB , ClickHouse , Redis, Messaging : Apache Kafka , Debezium, Sieć : Palo Alto , Juniper , HAProxy, Bezpieczeństwo : Vault , Keycloak , Vectra AI, Wazuh , BeyondTrust , Trivy, Monitoring i obserwowalność : VictoriaMetrics , Prometheus , Grafana , Zabbix , Dynatrace , ELK Stack , OpsGenie, AI: GitHub Copilot , Claude Code , M365 Copilot, Usługi katalogowe i IAM : Active Directory / Entra ID, Okta, MDM : Intune, Systemy biznesowe : Microsoft 365, Atlassian Stack ( JSM , Confluence , Jira ) , Webcon , Stacje robocze : Mac, Windows. Co oferujemy? Pracę w organizacji technologicznej rozwijającej rozwiązania wykorzystywane na dużą skalę oraz realny wpływ na kształt i rozwój infrastruktury IT. Dodatkowo oferujemy: możliwość współtworzenia i rozwoju infrastruktury organizacji, realny wpływ na decyzje techniczne, architekturę oraz standardy pracy zespołów, pracę na styku infrastruktury, platform engineeringu oraz zespołów produktowych i data, udział w projektach związanych z automatyzacją, Infrastructure as Code oraz wykorzystaniem AI w operacjach IT, przestrzeń do łączenia roli liderskiej z pracą techniczną (hands-on), dużą samodzielność oraz odpowiedzialność za rozwój zespołów i obszaru technologicznego, dostęp do nowoczesnych narzędzi i technologii (m.in. Kubernetes, chmury publiczne, narzędzia automatyzacji), elastyczną organizację pracy, prywatną opiekę medyczną oraz kartę sportową. Dlaczego warto? W Autopay infrastruktura to nie tylko utrzymanie systemów, to współtworzenie technologii wykorzystywanych każdego dnia przez miliony użytkowników. Jeśli chcesz połączyć przywództwo z pracą techniczną, uczestniczyć w projektowaniu architektury i współdecydować o kierunku rozwoju platformy, zapraszamy do rozmowy.

🏢 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: Platform Engineer / DevOps role focused on building and standardizing multi-cloud Kubernetes environments using Infrastructure-as-Code. The position centers on Terraform-driven provisioning across AWS, Azure, and GCP, GitOps-based deployment automation, and enterprise-grade security and identity integration. The engineer supports internal and client environments, ensuring portable, secure, and reliable cloud-native deployments. 🗂️ Requirements: Strong Terraform experience across AWS Azure and GCP, Hands-on experience with EKS AKS and GKE, Practical knowledge of Kubernetes networking node pools workload identity private clusters ingress storage classes cluster upgrades, Experience with GitOps workflows and Helm release management, Experience with GitHub Actions and OIDC authentication, Experience with Terraform remote state management, Ability to deploy into secure enterprise environments with strict security audit and change-control requirements, Experience debugging Kubernetes CRDs RBAC networking DNS ingress and identity issues, Fluent English, EU residency and valid EU work authorization 📃 Skills: Terraform, Kubernetes, AWS, Azure, GCP, EKS, AKS, GKE, Helm, GitOps, GitHubActions, OIDC, OCI, AzureOpenAI, ACR, KeyVault, Postgres, Databricks, OpenTelemetry, RBAC, DNS, Ingress 🏢 Description: Join Our Team as a Platform Engineer / DevOps - Multi-Cloud IaC Are you a hands-on Infrastructure-as-Code expert who can provision real Kubernetes environments across AWS, Azure, and GCP, while keeping security, auditability, portability, and operational reliability in mind? PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source, Kubernetes-native agentic AI platform. We are looking for a Platform Engineer / DevOps specialist to provision internal environments and support multi-cloud client deployments, with a strong focus on Terraform, Kubernetes, GitOps, and cloud-native identity. This role is ideal for someone who can move between cloud infrastructure, CI/CD, Kubernetes debugging, deployment automation, and client advisory work. Role and Responsibilities As Platform Engineer / DevOps, you will: Provision internal and client environments: Build and maintain repeatable Kubernetes deployment environments across AWS, Azure, and GCP. Own multi-cloud IaC patterns: Use Terraform to define secure, maintainable, portable infrastructure for EKS, AKS, GKE, networking, storage, identity, and deployment dependencies. Build Azure parity: Help establish strong Azure deployment patterns, including AKS, Azure managed identity, Azure OpenAI, Azure networking, Azure Container Registry, Key Vault, Terraform, and GitHub Actions. Support enterprise deployment requirements: Work within client infrastructure constraints, including strict security, audit, change-control, network, registry, and identity requirements. Standardize deployment automation: Improve GitOps workflows, Helm release management, OCI chart/image handling, GitHub Actions/OIDC, Terraform remote state, environment promotion, and cluster bootstrap automation. Integrate with client stacks: Support deployment patterns for Databricks, S3-compatible storage, managed Postgres, OTEL, model gateways, private registries, and cloud-native secret systems. Debug practical failures: Resolve issues around CRDs not being established, unavailable APIService resources, webhook certificates, image pulls, RBAC denials, network policies, DNS, ingress, and cloud identity. Support forward-deployed engineering: Help client teams that lack internal Kubernetes, DevOps, or cloud-platform maturity adopt robust deployment patterns. What We Offer A technically challenging platform mission: Work on a real open-source platform being scaled for enterprise adoption across cloud providers and client-owned environments. A senior, developer-led culture: PortBlueSky publicly positions itself around top 1% technical experts, senior engineering talent, and challenging projects for leading corporations. Remote-first flexibility: Work in a remote-first setup with flexible conditions and a strong work-life balance. High ownership: Shape how environments are provisioned, promoted, secured, upgraded, and supported. Practical impact: Your work will directly affect whether the platform can be adopted by enterprise teams with confidence. About You You are an experienced Platform Engineer, DevOps Engineer, or Cloud Infrastructure Engineer with: Strong Terraform experience across AWS, Azure, and GCP. Hands-on experience with EKS, AKS, and GKE. Practical knowledge of Kubernetes networking, node pools, workload identity, private clusters, managed ingress, storage classes, and cluster upgrade workflows. Experience with GitOps, Helm release management, OCI charts/images, GitHub Actions/OIDC, Terraform remote state, and environment promotion. Experience deploying into client infrastructure or multi-cloud environments with security, audit, and change-control requirements. A preference for portable, vendor-agnostic patterns while still using native cloud identity and infrastructure where appropriate. Strong debugging skills and calmness under deployment pressure. Fluent English and comfort working in a distributed, international team. EU residency and permission to work in the EU. Nice to Have Deep Azure experience, especially AKS, managed identity, Azure OpenAI, Azure Container Registry, Key Vault, and private networking. Experience with Databricks, managed Postgres, OTEL, model gateways, private registries, or enterprise secrets management. Familiarity with agentic AI platforms, Kubernetes-native control planes, MCP/A2A flows, or workflow orchestration. Experience supporting enterprise clients in consulting, staff augmentation, or forward-deployed roles. Technologies & Tools You May Work With Terraform AWS / EKS Azure / AKS GCP / GKE Kubernetes Helm GitHub Actions / OIDC GitOps OCI registries Azure OpenAI Azure Container Registry Azure Key Vault Managed Postgres Databricks OpenTelemetry Private registries Cloud-native identity systems Ready to build the multi-cloud foundations for a serious enterprise AI platform? Apply now and help create deployment patterns that work across real-world client environments. Apply Now!

🏢 Summary: Senior fullstack (backend-heavy) engineer to build a greenfield prenatal screening diagnostics product, owning architecture and features end-to-end from backend to selected frontend components. The role focuses on designing scalable Java/Spring Boot services, APIs, and data models, while contributing to React/TypeScript UI and shaping technical direction in a fast-moving MVP phase. Strong emphasis on clean architecture, testing discipline, AWS deployment, PostgreSQL, and effective use of AI-assisted development tools. 🗂️ Requirements: Strong expertise in Java and Spring Boot, Clean API design and domain modeling, Experience defining service boundaries and scalable architectures, Solid understanding of OOP, SOLID, and clean architecture, Working proficiency in React and TypeScript, Proven use of AI coding tools in daily workflow, Experience writing unit, integration, and API tests, PostgreSQL schema design and query optimization, AWS production deployment experience (ECS/EKS, RDS, Lambda, S3), Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, REST, OOP, SOLID, SQL, AI, Cursor, Claude 🏢 Description: We are building a new prenatal screening diagnostics product from scratch. The project is currently in an early greenfield phase, with MVP delivery planned within the next six months. We are looking for a senior engineer who enjoys building products end-to-end and feels comfortable taking ownership across the full development lifecycle — from backend architecture and data modeling to APIs and selected frontend features. This role is backend-heavy, but requires a pragmatic fullstack mindset and the ability to contribute wherever needed. You will work closely with product stakeholders in a fast-moving environment, helping shape both technical direction and product decisions. We are particularly interested in engineers who actively use AI-assisted development tools (such as Cursor, Claude Code, or similar) as part of their daily workflow and understand how to leverage them effectively while maintaining high engineering standards and code quality. You will have a direct impact on: defining system architecture and service boundaries, designing scalable backend solutions, building APIs and core business logic, contributing to React/TypeScript frontend development, establishing engineering best practices, testing strategy, and maintainable code standards. The project operates in the diagnostics domain, so attention to quality, reliability, and clean engineering practices is essential. Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Responsibilities: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment