Senior Fullstack Engineer

🏢 Summary: Senior cloud infrastructure role owning a multi-cloud, production-grade platform for heavy-industry customers, focusing on secure on-prem to cloud data integration and reliable Kubernetes-based deployments. The position requires end-to-end responsibility for infrastructure, networking, security, and CI/CD across diverse customer environments. Fully remote B2B role with high autonomy and direct impact on production systems. 🗂️ Requirements: 5+ years commercial experience in cloud, DevOps, SRE, or platform engineering, Production experience with real customer-facing systems, Deep knowledge of Terraform, Deep knowledge of Kubernetes, Hands-on experience with at least two of: GCP, AWS, Azure, Strong networking knowledge (VPCs, peering, VPN, private interconnect), Strong security expertise (IAM, secrets management, zero-trust), Experience with on-prem to cloud integration, Ability to design secure data ingestion architectures, Experience with CI/CD pipelines, Strong scripting skills in Python or Go, Experience handling production incidents end-to-end, Experience implementing monitoring, logging, and alerting, Ability to work across different cloud providers (cloud-agnostic approach), Availability for occasional on-call or out-of-hours incidents 📃 Skills: Terraform, Kubernetes, GCP, AWS, Azure, Python, Go, CI/CD, VPC, VPN, IAM, Interconnect, DirectConnect, ExpressRoute, SCADA, OPCUA, MQTT, VertexAI, SageMaker, MLflow, Ray, Spark, SOC2, ISO27001 🏢 Description: Kyper - Fully remote, B2B Kyper is the agentic downtime partner for heavy industry. Mining and oil & gas operators lose millions every hour to unplanned downtime - our platform stops it. We read from customer historians, SCADA, CMMS, and OEM systems, run continuous anomaly detection on top, and draft results back into the workflows the customer already uses. That platform runs across multiple customer environments. We need someone who owns it. Don't apply if Your production experience is mostly dev or staging clusters. You prefer to wait for tickets rather than push improvements unprompted. You are loyal to one cloud and dismissive of the others. You have never been on-call or owned a production incident end-to-end. Your AI tooling stops at chat interfaces and basic IDE autocomplete. You need a fixed 9-to-5. Customers span Japan to Alaska, so we trade strict hours for flexibility on both ends. You expect a senior infra team above you to make the hard calls. We are small - this role is the senior infra perspective. The role You are cloud-agnostic by reflex. You stand up environments, you keep them healthy, you make them cheap, and you make them reproducible. You think in Terraform and Kubernetes, but you do not religious-war the cloud. You pick the right tool for the customer and the workload, then ship it. Networking and security are core to this job, not afterthoughts. Our customers run heavy-industry infrastructure with strict OT/IT boundaries, isolated networks, on-prem historians, and varied appetite for cloud. You will walk into a customer's environment, understand their reality, and propose how their data gets from their servers to ours - securely, reliably, and in a way their IT and compliance teams will actually approve. You will defend that architecture in front of customer engineers who know their network better than you ever will. You will be the person who decides how Kyper's platform is run. That is a lot of leverage and a lot of responsibility. What you'll do Stand up production-grade environments across GCP, AWS, and Azure for new customer deployments. Own infrastructure as code: Terraform modules, Kubernetes manifests, CI/CD, secrets, networking, security posture. Design and propose customer data ingestion architectures: on-prem to cloud connectivity, secure transport, identity, firewalling, network segmentation. You sit in customer calls and you draw the diagram their IT will sign off on. Build the deployment workflows that let ML and product engineers ship without waiting on you. Monitor, observe, and harden: logs, metrics, alerts, cost controls, security baselines, incident response. Push toward cloud-agnostic patterns where they pay back, and pragmatic single-cloud choices where they don't. You bring 5+ years of commercial cloud / DevOps / SRE / platform engineering experience in environments with real customers and real consequences. Deep Terraform, deep Kubernetes, fluent in at least two of GCP / AWS / Azure. Strong networking and security: VPCs, peering, VPN, private interconnect (Interconnect / Direct Connect / ExpressRoute), IAM at scale, secrets management, zero-trust patterns. This is non-negotiable for the role. Real on-prem to cloud integration experience. You have shipped data from a customer's datacenter into a cloud platform and you can defend the trade-offs of every option (site-to-site VPN, dedicated interconnect, message queue bridge, agent + push, secure file drop). Comfort sitting in front of a customer's IT, OT, and security teams and proposing a data-shipping architecture they will actually approve. Experience running production workloads under load, not just dev clusters. Strong scripting (Python or Go), CI/CD-first mindset, bias toward simple and observable systems. Bonus ML / data platform experience: Vertex AI, SageMaker, MLflow, Ray, Spark on Kubernetes. Industrial / OT exposure: PLCs, SCADA, historians, OPC UA, MQTT, ISA-95, Purdue model. Compliance experience: SOC 2, ISO 27001, or sector-specific (NERC CIP, IEC 62443). FinOps mindset and proven cost reductions you can point to. You will fit Kyper if you Are productive with AI code agents and modern AI-assisted development workflows. If you have never built a Claude Code skill or subagent, set up an MCP server, run a personal knowledge system like Obsidian, or chained AI tools into a real workflow, your AI usage is probably too basic for what we need. Move fast, learn fast, and adapt quickly. Can take ideas and POCs all the way to production. This is a must-have skill. Are willing to dive into whatever challenges are needed to get things done. How we work You will own the platform layer end-to-end. No dedicated SRE team behind you, no waiting on a central infra group. The autonomy is real, and the impact is direct. Our customers are world-class at heavy industry, not at cloud or modern software. Their IT and OT environments reflect that history - varied, sometimes legacy, sometimes locked down, sometimes wide open in surprising places. The information you need about their networks, constraints, and quirks will not arrive neatly documented. You will have to dig it out. Fully remote on a B2B contract. Quarterly team co-locations in Warsaw. Customers span Japan to Alaska, and production doesn't watch the clock - the occasional out-of-hours call or incident comes with the role. The trade is real flexibility on the rest of your time.

🏢 Summary: Backend-heavy Fullstack Engineer role focused on building and scaling a cyber risk reporting platform used by US MSPs. The position centers on designing and owning Node/NestJS backend systems, including integrations, job queues, and data modeling, within a fast-paced product environment. You will work closely with a small, autonomous team shipping features every sprint using AI-assisted development tools. 🗂️ Requirements: Minimum 2 years commercial backend experience in Node.js or NestJS, Production experience designing schemas and writing database migrations, Hands-on experience building and debugging job queues, Experience integrating third-party APIs on the backend, Solid knowledge of TypeScript, Working experience with React, Practical experience with PostgreSQL, Practical experience with Redis, Experience using Docker, Use of AI development tools, Fluent English, Availability to work evening hours aligned with US (UTC-6) team 📃 Skills: Node.js, NestJS, TypeScript, React, PostgreSQL, Redis, Docker, BullMQ, TypeORM, Auth0, Swagger, Express, Fastify, ConnectWise, Autotask, Kaseya, Microsoft365, GoogleWorkspace 🏢 Description: We're The Digital Bunch, a cross-disciplinary digital consultancy with offices in Warsaw, Riyadh, Sydney, and London. We combine strategy, design, and technology to help companies grow. Software development is one of our core verticals, and we embed with product companies long-term as part of their engineering teams. This role is for our work on a cyber risk reporting platform. The product scans networks, endpoints, and cloud environments (Microsoft 365, Google Workspace), checks breach databases, and generates risk reports with an AI layer on top for analysis and recommendations. The reports are sold to MSPs in the US who use them to show clients where they stand on security. It's cyber tooling, nothing else. The platform has been live for 5+ years, was acquired last year by a larger company (100+ people), and is actively growing. New features ship every sprint. The codebase is mature but moves fast. You'd join a small team on our side: our CTO and one other developer. On the client side in Dallas there's a PM, QA, support, and two engineers, plus people from the parent company who rotate in when needed. Flat setup, a lot of independence. We write code with Cursor and Claude Code every day. Not as a gimmick, that's how we actually work. If you're already using AI tooling, good. If not, you'll pick it up in the first week. ⚠️ Read this first, this is a backend-heavy role Most of the interesting work lives on the server: job queues, third-party integrations, data modeling, async scans, report generation. The frontend matters, but it's not where you'll spend most of your time. If your experience is mostly React with some REST calls, this isn't the right role. We need someone who's actually built and owned Node/NestJS backends in production, schemas, queues, integrations, migrations, the whole thing. We're happy to consider someone with ~2 years of experience if those two years are genuinely backend-heavy. We're not happy to consider 6 years of frontend with a skills-list backend section. ⏰ Working hours, read this too The client team is in Dallas, Texas (UTC-6). You need to be available in the evenings: - Daily standups happen between 19:00–21:00 Polish time, 30–45 minutes - Monday planning runs at 23:00 Polish time - The rest of the day is yours. Most people work something like 12:00–20:00 or 14:00–21:00 - No weekends, no on-call If you can't do evenings, this isn't the right fit. Wanted to be upfront about that. 📌 The work You'll ship features across the full stack, weighted toward the backend: NestJS on the server, PostgreSQL and Redis underneath, React on the frontend. The backend integrates with 15+ external services (breach intelligence APIs, cloud provider APIs, PSA systems like ConnectWise), runs BullMQ job queues, and uses TypeORM and Auth0. There's always something new to wire up. About 10% of your time goes to triaging production issues reported by customers. That's engineering debugging, not answering support tickets. Small team means you have real input into what gets built and how. Nobody's handing you pixel-perfect Jira tickets. We ship behind feature flags, get it in front of users fast, and iterate. If you're the type who spends three weeks perfecting architecture before writing a line of code, this isn't your pace. First-day commits. Our CTO onboards you personally, but we expect you shipping from the start. 👉 What we're looking for - At least 2 years of commercial backend work in Node.js / NestJS (or a close equivalent, Express or Fastify with real production ownership). We'll ask about it. - You've designed schemas, written migrations, debugged queues, and integrated third-party APIs, not just consumed them from a frontend - Solid TypeScript and React. You don't need to be a CSS wizard, you need to be comfortable moving across the stack - Hands-on with PostgreSQL, Redis, Docker - You use AI tools for development (Cursor, Claude Code, Copilot, whatever works for you) - Fluent English, spoken and written. You're on daily video calls with Americans - Actually okay with working late Polish hours (see above) - Self-directed. Nobody assigns you tasks step by step 👍 Bonus points - Worked in cybersecurity, SOC/SIEM tooling, or compliance before - Know your way around BullMQ, TypeORM, Auth0, or Swagger codegen - Built integrations with PSA systems (ConnectWise, Autotask, Kaseya) or MSP-facing tooling - Worked with US-based teams or in product companies 🚫 Probably not for you if - Your CV lists React/Next/Tailwind projects and the backend section is a skills list with no project evidence - You've mostly consumed REST APIs, not built them - Your backend experience is a single side project or a bootcamp module - You want to spend most of your day on UI polish 🎉 What you get - 20,000–26,000 PLN net/month, B2B - Fully remote, or Warsaw office in central Warsaw (dogs welcome) - Long-term product work on a single platform, not project hopping - Latest hardware and tooling - Multisport card - Regular salary reviews - Referral bonuses 💃 Hiring process 1. Intro call with Alex (CTO). 15–30 min. We talk about the role, you ask questions, and we see if it makes sense for both sides. 2. Take-home task. Build a small full-stack app (React + NestJS). The NestJS side carries most of the weight. Capped at 2 hours. Use AI tools, we don't care how you get there, we care that it works and you understand it. 3. Live review. 60 min. You walk us through your code, we ask you to add a feature live (should take minutes with AI, not half an hour), then we talk architecture and how you think about systems. 4. Meet the client team. Short call with the Dallas side before we finalize.

🏢 Summary: Remote role focused on building scalable data pipelines and AI-driven solutions for datacenter development planning systems. The position involves integrating multiple data sources, configuring AI agents, and delivering BI-ready outputs while collaborating directly with clients. It offers high autonomy and ownership across the full software development lifecycle. 🗂️ Requirements: 4+ years software development experience across full SDLC, 3+ years hands-on experience with Java, Strong SQL skills, Experience working with databases, Practical experience developing or configuring AI Agents, Experience in system integration, Client-facing communication experience in English, Ability to design and implement architecture solutions 📃 Skills: Java, SQL, Databases, AI, ETL, GCP, Python, BI 🏢 Description: Are you passionate about building scalable, high-performance platforms that power the next generation of data-driven applications? Join our dynamic team working on mission-critical software systems for Datacenter development planning - all in a fully remote work environment . We manage complex supply timelines and supplier relationships, delivering solutions that make a real impact for our clients. If you thrive in a modern, autonomous engineering environment and enjoy direct collaboration with stakeholders, we want to hear from you! If you're ready to make an impact in a dynamic environment, we want to hear from you! Responsibilities Build robust data pipelines integrating information from multiple data sources Configure and develop AI Agents to process and analyze data efficiently Transform and optimize agent outputs into BI-friendly formats for business intelligence use Communicate directly with clients on a daily basis to gather requirements and provide updates Propose and implement design and architecture solutions for your deliverables Collaborate with world-class engineers, architects, and product managers Focus on development activities in an environment with minimal meetings and high autonomy Requirements 4+ years of experience in software development and integration across the full system implementation lifecycle (analyze, design, implement, build, test, support) 3+ years of hands-on experience with Java Strong SQL skills and experience working with databases Practical experience in developing or configuring AI Agents Excellent English communication skills, with proven experience in client-facing roles Strong self-management and prioritization abilities Nice to have Experience with Google Cloud Platform (GCP) Python programming skills ETL (Extract, Transform, Load) experience Familiarity with Agent Development Kit We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 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: Remote Full-Stack Software Engineer role focused on designing, building, and maintaining scalable web applications using modern backend and frontend technologies. The position involves end-to-end feature ownership, customer collaboration, and development of secure, high-performance systems. The engineer will work with Python, FastAPI, React, and cloud-native tools in a distributed team. 🗂️ Requirements: Approximately 5 years of professional software development experience, Strong backend development experience with Python and FastAPI, Experience with NGINX, Strong frontend development skills with React and TypeScript, Experience with Vite, Experience with MSSQL, Experience with SQLAlchemy, Hands-on experience with Docker, Hands-on experience with Kubernetes, Experience designing and consuming REST APIs, Experience with relational databases, Ability to design secure, scalable systems, Fluent English communication skills, EU citizenship, Residence in Poland 📃 Skills: Python, FastAPI, NGINX, React, TypeScript, Vite, MSSQL, SQLAlchemy, Docker, Kubernetes, REST, SQL, CI/CD, Cloud 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a highly experienced Full-Stack Software Engineer to join a remote development team. The role focuses on designing, building, and maintaining scalable web applications using modern backend and frontend technologies. The ideal candidate is autonomous, proactive, and comfortable working directly with customers to translate business needs into robust technical solutions. Project information: Type of project: IT Services Office location: Poland Work mode: Remote Budget: 140-160 PLN net /h - b2b Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate availability) Project scope: Design, develop, and maintain backend services and REST APIs using Python and FastAPI Build modern, responsive frontend applications using React, TypeScript, and Vite Own features end-to-end, from backend logic to frontend user interfaces Collaborate directly with customers and stakeholders to gather requirements and provide technical guidance Design and optimize database schemas and queries using MSSQL and SQLAlchemy Deploy, operate, and maintain applications using Docker and Kubernetes Ensure best practices in security, performance, scalability, and maintainability Participate in architecture discussions and contribute to technical decision-making Troubleshoot production issues and provide reliable operational support Work closely with product, design, and engineering teams to deliver high-quality solutions on time Requirements: Approximately 5 years of professional software development experience Strong autonomy and ability to manage tasks with minimal supervision Proven experience in customer-facing or stakeholder-facing roles Solid backend development experience with Python, FastAPI, and NGINX Strong frontend development skills with React, TypeScript, and Vite Experience working with relational databases, particularly MSSQL, and ORM tools like SQL Alchemy Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes Understanding of secure, scalable, and maintainable system design Experience in cloud environments (optional) Knowledge of CI/CD pipelines and DevOps best practices (optional) Experience working in agile or product-driven teams (optional) Strong verbal and written communication skills in English Self-driven, accountable, and results-oriented Comfortable working directly with customers and taking ownership of delivered solutions Team-oriented mindset with a proactive approach to problem-solving We offer: Remote working model Full-time job agreement based on b2b contract Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible Multisport card (also for an accompanying person) Life insurance

🏢 Summary: Mid-level React/TypeScript Engineer role focused on building and owning production-grade frontend applications (dashboards, operator panels, customer apps) on top of AI agent systems. The position involves close collaboration with backend services and active use of AI coding tools while maintaining strong engineering judgment and code quality. You will take full ownership of features from design to deployment in a production environment with real users. 🗂️ Requirements: 3–5 years commercial experience in frontend development, Strong proficiency in TypeScript, Deep understanding of React and rendering lifecycle, Experience building scalable frontend architectures, Experience integrating with REST APIs and authentication systems, Ability to work with backend technologies (Node.js or Python), Experience with state management and data synchronization, Proficiency with Next.js, Experience working with MongoDB, Experience deploying or working with AWS, Ability to use AI coding tools critically and effectively 📃 Skills: TypeScript, React, Next.js, Tailwind, Node.js, Python, MongoDB, AWS, REST, Claude, Cursor, MCP 🏢 Description: Who we are AgentX is a platform for building and running production AI agents - and a team that ships real systems on top of it for clients who need more than a demo. The platform is the infrastructure: orchestration, memory, tools, evals, deployment - the layer that makes agentic systems actually work in production. On top of it, we build end-to-end solutions for our clients. One of the systems running on AgentX today is KsięgoBoty - a multi-agent product used daily by hundreds of Polish accounting firms. Paying customers, production load, real consequences when something breaks. We're small, technical, AI-heavy, and we ship. Who we're looking for A solid React engineer who actually understands what's happening under the hood, and uses AI tools daily without outsourcing their brain to them. You'll join the team that owns the user-facing layer of our products: the dashboards, the operator panels, the customer-facing apps that sit on top of the agents. We need someone we can trust to take a feature, build it well, and ship it without it coming back broken three days later. This isn't a flashy role and we're not looking for a flashy person. We need craftsmanship. If you read a ticket and your first instinct is "what's the data model, what's the component structure, where does state actually live" - keep reading. If your first instinct is "I'll just vibe-code it with Cursor and hope the PR passes" - this isn't for you, and that's fine. What we mean by "good React engineer" You write TypeScript well: types help you, they don't slow you down You understand React deeply enough to debug a re-render problem without guessing You can structure a non-trivial frontend so it doesn't turn into a tangle in six months You've worked with a real backend: REST, auth, data sync, edge cases — and you can hold both ends of a feature in your head You read other people's code carefully and review like an adult: kindly, but honestly You are comfortable using AI tools daily, but you do not outsource your judgment to them You know how to check AI-generated code instead of trusting it because it “looks right” ~3–5 years of commercial experience is roughly where we expect this person to sit. Less is fine if you're sharp; more is fine if you actually want a Mid role. How we work with AI We use AI heavily. Claude Code, Codex, Cursor, MCP, agent workflows: they're a normal part of how we work, the same way Git or Docker is. You'll be expected to use them the same way: not as a gimmick, not as a shortcut around understanding the codebase, but as leverage. That means: break work into clear chunks, guide the tools through implementation, review their output critically, fix what's wrong, and own the final result. You should be faster with these tools than without them - and you should know exactly where they're about to lie to you. AI doesn't turn a bad engineer into a good one. It just makes them ship faster, which is worse. So: We do not want people who only know how to prompt. We also do not want people who proudly refuse to use AI and treat it like autocomplete with better marketing. The right person sits in the middle: strong fundamentals, strong taste, strong ownership - multiplied by modern AI tooling. What you'll actually own Frontend, day-to-day. React, TypeScript, Tailwind, Next.js. Real product surfaces - operator dashboards, customer panels, internal tools that real people use to do real work. Fullstack when needed. You won't live exclusively in the frontend. Node/Python on the backend when a feature needs it - you don't have to be an expert, but you have to be willing. Quality. The thing you ship works, doesn't break the next thing, and doesn't make the codebase worse. We notice this. Working with the team. Code reviews, architecture decisions - we figure out the harder calls together. You're not coding in a vacuum. The stack TypeScript / React / Next.js · Tailwind · Node.js · Python (some) · MongoDB · AWS · Claude / Cursor / MCP for tooling. We don't use Go. Nice-to-have (not required) You've built a side project that you actually shipped, not just started You've worked with LLM APIs in production (not "I made a chatbot in a tutorial") You care about UX - not as a designer, but as someone who notices when something feels wrong What we offer 13 000 – 18 000 PLN netto + VAT, B2B Remote-friendly, Poland-based A small team that ships and doesn't waste your time Direct work with the founders - no Jira theater, no three-round groomings, no PM filtering your ideas Modern AI tooling fully paid for (Claude Max, Cursor, Codex, whatever helps you work better) Real ownership of the frontend layer of a product people use every day How the process works 1. You send us stuff recruitment@agentx.so Your CV — yes, we read them One thing you built end-to-end you're proud of — and what you'd change about it today One AI product (yours or someone else's) you think is genuinely good, and why Your take: a client says our agent is "mostly right but wrong in ways that scare them." What do you do first? 2. We reply within 2-3 days — either "let's talk" or "not this time, here's why." No black hole. 3. We meet — 30-45 min call with the founder. We talk about your work, you ask us hard questions. If the chemistry isn't there, no hard feelings. 4. Problem-solving session (top 2-3 candidates) — we give you a real problem we're working on. You come back with how you'd approach it: your thinking, your trade-offs, your questions. We're not watching over your shoulder. We want to see how you think. 5. Decision within 2-3 days. If yes — you start when you're ready. Tomorrow, next week, after notice period. Your call.

🏢 Summary: Senior Python & React Full-Stack Engineer role focused on maintaining, troubleshooting, and enhancing an existing live product within a single-client environment. The position involves full-stack development, improving UI/UX, onboarding users, and ensuring system stability and performance. This is a remote EU-based role with strong emphasis on practical problem-solving and product evolution. 🗂️ Requirements: 6+ years of experience as Full Stack Developer/Engineer, Hands-on backend experience with Python, Solid frontend experience with React, Experience with databases, Experience with cloud environments (preferably Azure), Understanding of software development lifecycle, Experience maintaining and improving existing products, Strong debugging and issue-resolution skills, Fluent English, Legal right to work in Europe 📃 Skills: Python, React, SQL, Azure, Cloud, UI, UX, Debugging 🏢 Description: Build what matters—stabilize, improve, and evolve a live product used every day. Remote (EU) • Up to 5 remote days/week As a Senior Python & React Full-Stack Engineer , you will be working for our client on an existing software product used within a single-client environment. Instead of starting from scratch, you will maintain, troubleshoot, and enhance a live solution—helping it grow as new users onboard and new needs emerge. If you enjoy practical problem-solving across frontend and backend, this is the kind of role where your work has immediate impact. Your main responsibilities: Support the ongoing development and maintenance of an existing software product Troubleshoot and fix bugs reported by users during onboarding and day-to-day usage Implement improvements and new features based on user feedback and business needs Enhance the UI/UX experience to keep the platform intuitive and user-friendly Work across both backend and frontend layers of the application Collaborate with stakeholders to understand issues, prioritize enhancements, and deliver practical solutions Help onboard new users by ensuring the platform remains stable and effective Continuously improve code quality, usability, and performance You're ideal for this role if you have: 6+ years of experience as a Full Stack Developer / Full Stack Engineer Hands-on backend experience with Python Solid frontend experience with React Basic to solid experience with databases and cloud-based environments (preferably Azure ) A strong understanding of the software development lifecycle across frontend and backend Experience maintaining and improving existing products (not only building new systems) Strong debugging and issue-resolution skills with clean, practical fixes A product-minded approach with sensitivity to UI/UX and user needs It is a strong plus if you have: (optional) Experience working on client-facing internal tools or single-client product environments Exposure to product support, user onboarding, or post-launch optimization Enthusiasm for AI and a practical understanding of how it works (without training models) Familiarity with Azure cloud-based application architecture Language Required for the role : English (Fluent) Eligibility for the role : Only candidates with an existing legal right to work in Europe will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Long-term remote DevOps contract for a large-scale e-commerce logistics platform undergoing API migration using KIRO and spec-driven development. The role focuses on building and maintaining cloud infrastructure, CI/CD pipelines, and API management solutions to ensure scalability, reliability, and fast software delivery. Immediate joiners from Poland, Romania, or Bulgaria are required. 🗂️ Requirements: 3–5 years DevOps experience, Hands-on AWS infrastructure and networking, Experience with KIRO, Tyk, Apigee, Kubernetes experience (EKS preferred), Strong scripting skills, CI/CD pipeline implementation experience, Experience with AI-powered coding assistants, English B2/C1 level, Immediate availability 📃 Skills: AWS, KIRO, Tyk, Apigee, Kubernetes, EKS, Python, Terraform, Helm, ArgoCD, GitLab, GitHubActions, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, CI/CD, Networking 🏢 Description: Dear Consultant, Join a large-scale e-commerce logistics platform supporting millions of parcel transactions weekly , currently undergoing API migration using KIRO (agentic AI, spec-driven development) . Send CV to (marcillina.tietjen@dcvtechnologies.co.uk 📍 Remote (Poland / Romania / Bulgaria) 💼 Contract (Long-term) 🚀 Start: ASAP (Immediate joiners only) You will be: building and supporting the tools, processes and infrastructure empowering faster delivery and scaling of software iterations ensuring availability, reliability and scalability of application infrastructure building and supporting CI/CD and release tools ensuring the right metrics are collected and monitored Tech Stack AWS (DevOps, mid-level) KIRO Tyk.io Google Cloud Apigee Kubernetes (EKS preferred) Python Terraform, Helm ArgoCD (GitOps) CI/CD (GitLab / GitHub Actions) Bash / PowerShell Monitoring: Prometheus, Grafana, AppDynamics, OpenSearch 🎯 Requirements 3–5 years DevOps experience Practical experience with AI-powered assistants (Copilot, Claude, Cursor, etc.) Hands-on AWS infrastructure & networking Experience with Kiro, Tyk, Apigee (MANDATORY) Kubernetes experience (EKS preferred) Strong scripting + CI/CD English B2/C1 ⚠️ Important Immediate availability ONLY Remote role (PL / RO / BG)

🏢 Summary: Remote Full Stack Developer role focused on architecting, building, and deploying a multi-tenant analytics dashboard platform that delivers large-scale consumer intelligence insights. The position involves end-to-end ownership of frontend, backend, security, and cloud infrastructure, with strong emphasis on React, Python/FastAPI, and Azure-based DevOps. You will lead technical decisions and implement scalable, secure, production-grade solutions. 🗂️ Requirements: 7–10+ years full stack development experience, 5+ years backend development with Python and FastAPI in production, Experience with ASP.NET Core and C#, 4+ years building production applications with React and TypeScript, Minimum 2+ years production experience with Auth0 (SSO, RBAC, MFA), Minimum 2+ years experience deploying applications on Kubernetes/AKS, Production experience with Azure Key Vault integration, Minimum 2+ years building CI/CD pipelines in Azure DevOps, Strong SQL skills with SQL Server and/or PostgreSQL, Proficiency in Docker containerization for frontend and backend applications 📃 Skills: Python, FastAPI, C#, .NET, ASP.NET, React, TypeScript, Auth0, Kubernetes, AKS, Azure, AzureDevOps, AzureKeyVault, Docker, SQL, SQLServer, PostgreSQL, Databricks, Redis, Celery, Terraform, ARM, Helm, TailwindCSS, Superset, Recharts, D3.js, Chart.js, ECharts, Redux, Zustand, ReactQuery, JWT, Pydantic, SQLAlchemy, EntityFramework, Dapper, xUnit, Moq, Jest, Cypress, OpenAPI, Swagger 🏢 Description: A rapidly-growing AI Consumer Intelligence Platform is hiring a remote Full Stack Developer Our platform synthesizes massive-scale data (billions of Google searches, social conversations, product reviews, and videos) to deliver actionable consumer insights for clients such as Coca-Cola, Unilever, and Bayer. We are hiring a Full Stack Developer to lead the technical implementation of this dashboard platform. You will work to architect, build, and deploy the application, making key technical decisions and establishing patterns that the broader team will follow. Role Overview This role requires someone who can work independently with minimal oversight, has deep expertise in React, Python/FastAPI, and .NET and has hands-on production experience with Auth0, Kubernetes, Azure Key Vault, and Azure DevOps. You should be comfortable owning the full stack from database queries to UI polish. You are obsessed with building dashboards that help users quickly reach the "aha" moment, the insight that changes their business. You understand that great analytics tools require both powerful backends and intuitive, fast front-ends. Key Responsibilities Architecture & Technical Leadership • Architect the end-to-end solution, including frontend component structure, API design, data access patterns, and deployment topology. • Make technical decisions on frameworks, libraries, and patterns; document architectural decisions for the team. • Design a multi-tenant architecture supporting customer-specific configurations, including product line and country segments. • Establish coding standards, review processes, and best practices for the project. Backend Development - Python/API (Primary), .NET (Secondary) • Build high-performance RESTful APIs using Python and FastAPI as the primary backend framework to serve analytics data to the React frontend. • Support and maintain secondary backend services using .NET / ASP . net Core where appropriate. - Implement efficient data access layers connecting to Databricks (via API's), SQL Server, and PostgreSQL. • Design and implement caching strategies using Redis and in-memory caching to optimize response times for data-heavy queries. • Build background services for report generation, data refresh, and scheduled tasks using Python workers, task queues, scheduled jobs, or .NET hosted services where applicable. • Implement comprehensive logging, health checks, and observability using Azure Monitor and Application Insights. Frontend Development - React • Build a modern, responsive React application with TypeScript, implementing interactive dashboards and data visualizations. • Develop reusable component library with consistent styling using TailwindCSS or styled-components. • Implement complex data visualizations using Superset or other charting libraries such as Recharts, Chart.js, D3.js, or Apache ECharts. • Optimize frontend performance for large datasets including virtualization, lazy loading, and efficient state management. • Integrate Auth0 SDK for frontend authentication flows, token management, and protected routes. Authentication, Authorization & Security • Utilize end-to-end authentication using Auth0, including SSO, MFA, and social login configurations. • Design and implement role-based access control using Auth0 roles and permissions mapped to application features. • Integrate Azure Key Vault for secure storage and retrieval of secrets, API keys, connection strings, and certificates. • Implement secure API authentication using JWT tokens with proper validation and refresh mechanisms. • Ensure compliance with security best practices, including OWASP guidelines, data encryption, and audit logging. DevOps, Infrastructure & Deployment • Work with DevOps to design and implement Kubernetes deployments on Azure Kubernetes Service, including pod configurations, services, ingress, and horizontal pod autoscaling. • Work with DevOps to build comprehensive CI/CD pipelines for automated build, test, and deployment across dev, staging, and production environments. • Create and maintain Docker containers for both frontend and backend applications with optimized, multi-stage builds. • Work with DevOps to implement infrastructure as code using Terraform or ARM templates for reproducible deployments. • Configure environment-specific settings, feature flags, and deployment slots for zero-downtime releases. • Set up monitoring, alerting, and dashboards using Azure Monitor, Application Insights, and Log Analytics. Required Qualifications - 7-10+ years in full stack development - Python/FastAPI : 5+ years of backend development with Python, including production experience building APIs with FastAPI - .NET / C# : Experience with ASP .net Core, Entity Framework, and Web APIs. Secondary backend experience preferred. - React / TypeScript : 4+ years building production React applications - Auth0 : 2+ years implementing Auth0 in production, including SSO, RBAC, and MFA - Kubernetes : 2+ years deploying and managing apps on Kubernetes/AKS - Azure Key Vault : Production experience integrating Key Vault for secrets management - Azure DevOps : 2+ years building CI/CD pipelines in Azure DevOps - Databases : Strong SQL skills with SQL Server and/or PostgreSQL - Docker : Proficient in containerizing Python/FastAPI, .NET, and React applications Technical Skills Backend - Python / FastAPI • Python backend development with FastAPI • RESTful API design and implementation • Pydantic models and validation • Dependency injection and middleware patterns in FastAPI • Async programming and performance optimization • SQLAlchemy, SQLModel, or equivalent ORM/data access libraries • Integration with SQL Server, PostgreSQL, and Databricks APIs • Background jobs using Celery, Redis Queue, APScheduler, Azure Functions, or similar tools • API documentation using OpenAPI/Swagger • Unit and integration testing with pytest or similar frameworks Secondary Backend - .NET Core • ASP.NET Core Web APIs with dependency injection, middleware, and filters • Entity Framework Core and/or Dapper for data access • Background services using IHostedService or Hangfire • API documentation with OpenAPI/Swagger • Unit testing with xUnit, Moq, and integration testing patterns Frontend (React) • React 18+ with hooks, context, and functional components • TypeScript for type-safe development • State management with Redux Toolkit, Zustand, or React Query • Data visualization libraries, including Superset or other options such as Recharts, Chart.js, D3.js, or ECharts • CSS frameworks, preferably TailwindCSS, or CSS-in-JS solutions • Testing with Jest, React Testing Library, and Cypress Auth0 Expertise • Auth0 tenant configuration and application setup • Universal Login customization and branding • Auth0 Rules, Actions, and Hooks for custom logic • Role-Based Access Control implementation • Machine-to-machine authentication for backend services • Auth0 SDK integration with Python/FastAPI, .NET, and React Kubernetes & Azure • Kubernetes concepts: Deployments, Services, ConfigMaps, Secrets, Ingress • Azure Kubernetes Service provisioning and management • Helm charts for application packaging • Azure Key Vault integration with AKS using CSI driver or pod identity • Azure DevOps YAML pipelines for build and release • Infrastructure as Code using Terraform or ARM templates) Preferred Qualifications • Experience with Databricks or Spark for big data integration • Experience integrating LLM/GenAI services, including OpenAI or Azure OpenAI, into applications • Power BI embedded analytics or Apache Superset experience • GraphQL experience, both server and client • Background in consumer insights, CPG, or market research data domains • Experience building multi-tenant SaaS applications • Azure certifications such as AZ-204, AZ-400, or AKS specialty