Backend Engineer

🏢 Summary: Principal Platform Engineer to architect and lead the infrastructure strategy for a production-grade ML platform on Google Cloud. The role focuses on building and automating scalable, secure, and resilient infrastructure for high-performance machine learning workloads. You will design cloud-native systems, CI/CD pipelines, and observability solutions to ensure reliable model deployment and operations. 🗂️ Requirements: 8–10+ years in DevOps or Platform Engineering, Minimum 2 years operating production ML workloads, Deep hands-on experience with GCP and GKE, Strong expertise in Kubernetes cluster architecture and operations, Proficiency with Istio service mesh and API gateways, Expert-level Terraform with Atlantis/GitOps workflow, Experience building ML CI/CD pipelines, Experience operating Airflow in production, Experience with ML serving platforms, Experience managing Cloud SQL (PostgreSQL) and BigQuery, Experience with in-cluster datastores, Experience managing enterprise identity and secrets systems 📃 Skills: GCP, GKE, Kubernetes, Istio, Kong, Terraform, Atlantis, GitOps, Helm, Kustomize, ArgoCD, Airflow, Jenkins, GitHub, MLflow, Triton, vLLM, PostgreSQL, BigQuery, Elasticsearch, ClickHouse, Auth0, Dex, ESO, SOPS, IAM, VPC-SC 🏢 Description: Principal Platform Engineer Poland, Remote or Ukraine, Remote or Romania, Remote Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. Join us for the ride! We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space. Core Responsibilities: Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads. CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow. Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production. Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation. ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring. Deploy tools that empower individual teams to monitor their workloads. Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC. What you bring to the table: Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads . GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD). Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong ). Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate. Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS). Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow ). Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse. At least an upper-intermediate level of spoken and written English. It would be great if you also had: ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift. Automation Savvy: Experience with Ansible for cluster bootstrap and recovery. Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications. Modern Stack Exposure: Familiarity with Loki, Grafana , or managing ClickHouse at scale. Why Join Us? Professional Growth: Enhance your skills by collaborating closely with talented engineers and architects. Meaningful Impact: Help create software that protects millions of users from cybersecurity threats. Supportive Environment: Join a team dedicated to innovation, mentorship, and continuous learning.

🏢 Summary: Full-time remote Backend Engineer role focused on building and maintaining a backoffice automation platform from scratch, combining web technologies with AI solutions. You will work in a small team with strong impact on product decisions and long-term development. The position involves hands-on backend development and AI-assisted coding in a modern tech stack. 🗂️ Requirements: 4+ years backend development experience, Experience with PHP 8+, Experience with Symfony, Experience with Docker, Basic knowledge of LLMs, Knowledge of prompting, Experience with Git, Experience with SQL, Proficiency in AI-assisted coding 📃 Skills: PHP, Symfony, Docker, Git, SQL, LLM, Prompting, Claude, AI, Backend 🏢 Description: Become part of our team as Backend Engineer! We are a small company (Appventure Sp. z o.o.) and we are looking for independent and experienced Backend Engineer to join our ambitious team. The job is 100% remote, full-time, with the possibility of long-term cooperation. Join our team, where we combine web technologies with the use of AI on a daily basis. We're involved in development of a backoffice automation platform from a scratch for a customer from Netherlands. You'll be joining a small team where you'll have strong influence on the product being built. Your responsibilities will include development and maintenance of the product. Requirements : 4+ years' experience in backend development PHP 8+ Symfony Docker basic knowledge of LLM and prompting. Git SQL Fluency in English and Polish Proficiency in Ai assisted coding (We use Claude Code) Nice to have : node.js + typescript Symfony UX

🏢 Summary: Backend Engineer role focused on building production systems for AI agents, including backend services, APIs, and data pipelines for enterprise customers. The position involves designing reliable distributed systems, maintaining production services, and collaborating closely with cross-functional teams in a fully on-site Warsaw office environment. The company offers a modern AI-focused tech stack, B2B contract, stock options, and opportunities to contribute to open-source projects. 🗂️ Requirements: 3–5 years of experience building backend production systems, Strong Python skills, Understanding of distributed systems, Experience with AWS, GCP, or Azure, Knowledge of SQL and NoSQL databases, Database design experience, Security-focused approach to system design, Ability to manage projects from idea to production, Strong written and spoken communication skills, Experience using AI tools in software development, Ability to work fully on-site in Warsaw 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, AI, TypeScript, APIs, GitHub, Copilot, Codex, Claude 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . About us We believe that businesses are moving toward AI-powered work, and we are building a platform for this future. Many AI agents cannot handle complex business tasks. We created a platform that organizes company policies, workflows, and business knowledge into one AI data model. This helps AI agents make accurate decisions and deliver reliable results at scale. We already work with well-known enterprise customers such as Glovo, Nespresso, and HelloFresh. Our platform supports thousands of users and handles real production data. Customers trust us with important business knowledge because we provide a secure and reliable solution with SOC2, HIPAA-ready security practices, and strong integrations. Job description We are looking for a backend engineer with several years of experience who wants to take responsibility for real systems, not only complete assigned tasks. You will solve backend challenges, choose the best technical solutions, deliver new features, and support them in production. We are looking for someone with good technical skills, clear communication, and a desire to build systems that are simple, reliable, and easy to improve. You will help build production systems for AI agents, working on real problems for customers who already use our platform. The position is based in Warsaw and requires working from the office. Responsibilities Build backend services, APIs, data pipelines, and background processes for production systems. Turn business requirements into technical solutions and implementation plans. Monitor and maintain services after release, improving reliability, performance, and system monitoring. Design service interfaces and data models that fit well into the overall system. Create technical documentation and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers. Improve engineering processes using AI tools, automation, and better workflows. Help maintain high code quality through code reviews and design reviews. Requirements Around 3–5 years of experience building backend production systems. Strong Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failures, data consistency, asynchronous processing, and service communication. Experience with cloud platforms such as AWS, GCP, or Azure, and knowledge of SQL, NoSQL, and database design. A security-focused approach when working with sensitive data and system design. Ability to manage projects from idea to production with increasing responsibility. Good written and spoken communication skills, with the ability to explain technical decisions clearly. Experience using AI tools as part of your daily software development work. Nice to have Experience with AI agents, orchestration, retrieval systems, tool calling, or LLM-based infrastructure. Knowledge of TypeScript or willingness to work across the full technology stack. Experience taking on more responsibility and learning quickly. What we offer B2B contract and company stock options. MacBook Pro. Modern technology stack and the opportunity to contribute to open-source projects. An AI-focused development environment with tools such as Claude Code, OpenAI Codex, and GitHub Copilot. Our values Our leadership team combines strong experience in AI, knowledge management, and enterprise SaaS. We have received more than $60 million in funding and have been recognized by Gartner as a Cool Vendor. Our work is guided by these values: Quality – We care about excellent work and high standards in everything we build. Momentum – We take initiative, share ideas, and keep moving forward. Accountability – We take responsibility for our work and give honest, respectful feedback. Hard work – We believe success comes from teamwork, dedication, and consistent effort. Learning agility – We stay curious, learn from mistakes, and continue improving. Adapt and thrive – We welcome change and see challenges as opportunities to grow. Win together – We work as one team, communicate openly, and support our shared goals.

🏢 Summary: Backend Software Engineer role focused on building and extending an enterprise AI assistant platform using FastAPI and LLM integrations. The position involves designing async APIs, orchestrating AI agent workflows, managing document processing pipelines, and optimizing databases and background jobs. The role also covers observability, testing, and enforcing security best practices in a production environment. 🗂️ Requirements: 3+ years of experience with Python in production backend systems, Strong experience with FastAPI (async/await, dependency injection, middleware), Experience with SQLAlchemy or SQLModel and PostgreSQL, Experience with Redis for caching and task queues, Experience integrating LLMs via API (e.g., OpenAI SDK), Experience with pytest for automated testing, Experience with Docker for development and deployment, Understanding of async Python (asyncio, concurrent session management), Experience working with Git and PR-based workflows 📃 Skills: Python, FastAPI, SQLAlchemy, SQLModel, PostgreSQL, Redis, OpenAI, pytest, Docker, asyncio, LangChain, LangGraph, RQ, pgvector, Qdrant, OpenTelemetry, Prometheus, Grafana, OWASP, Git 🏢 Description: For Digital Hub Warsaw, we are looking for: Software Engineer (Backend) You’ll build and extend the backend of myGenAssist, an enterprise AI assistant platform. The backend is a FastAPI application that orchestrates LLM interactions, manages agent workflows with LangChain/LangGraph, handles document processing pipelines, and exposes tools via MCP (Model Context Protocol). Key Tasks & Responsibilities: Design and implement async APIs using FastAPI, following our patterns for session management, API versioning, and domain-driven structure. Build and evolve AI agent workflows using LangChain and LangGraph — tool integration, state persistence, multi-step reasoning. Design and optimize database schemas with SQLModel/SQLAlchemy and PostgreSQL, including migrations and vector search (pgvector, Qdrant). Build background job pipelines with RQ (Redis Queue) for document processing, knowledge base indexing, and long-running tasks. Implement observability using OpenTelemetry, Langfuse, Prometheus, and Grafana. Write tests using pytest with parallel execution, covering unit, integration, and RAG evaluation. Enforce code quality through reviews and adherence to security best practices (OWASP). Qualifications & Competencies (education, skills, experience): 3+ years with Python in production backend systems Strong FastAPI experience (async/await, dependency injection, middleware) SQLAlchemy or SQLModel with PostgreSQL Redis for caching and task queues Experience integrating LLMs via API (OpenAI SDK or similar) Testing with pytest Docker for development and deployment Understanding of async Python (asyncio, concurrent session management) Git and PR-based workflow Nice to Have LangChain / LangGraph for agent orchestration Vector databases (Qdrant, pgvector) and RAG patterns MCP (Model Context Protocol) Document processing pipelines (Docling, Unstructured) OpenTelemetry and distributed tracing Kubernetes basics (we run on EKS) AWS services (S3, Secrets Manager) OAuth2/JWT authentication Agile/Scrum experience What do We offer: A flexible, remote-hybrid work model Great workplace in a new modern office in Warsaw Career development, 360° Feedback & Mentoring programme Wide access to professional development tools, trainings, & conferences Company Bonus & Reward Structure VIP Medical Care Package (including Dental & Mental health) Holiday allowance (“Wczasy pod gruszą”) Life & Travel Insurance Pension plan Co-financed sport card - FitProfit Meals Subsidy in Office Budget for Home Office Setup & Maintenance Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs Tailored-made support in relocation to Warsaw when needed Please send your CV in English WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

🏢 Summary: Senior Backend Engineer responsible for designing, building, and maintaining production-grade backend systems that power AI-driven business automation. The role covers full ownership from system design to deployment, focusing on scalable, reliable distributed systems and cloud infrastructure. This is a Warsaw-based, office role with strong emphasis on technical leadership and AI-supported development workflows. 🗂️ Requirements: Senior-level experience in backend engineering on production systems, Strong Python programming skills, Experience with distributed systems concepts, Experience with cloud platforms (AWS, Azure, or similar), Knowledge of SQL and NoSQL databases, Ability to design, implement, and deliver systems to production, Strong written and spoken communication skills, Regular use of AI tools in development workflows 📃 Skills: Python, AWS, Azure, SQL, NoSQL, DistributedSystems, Concurrency, AsynchronousProcessing, APIs, Cloud, GitHubCopilot, OpenAI, Claude, TypeScript 🏢 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 allows AI to make better decisions and provide accurate, reliable, and compliant results. Well-known companies from different industries use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just seconds. We also work with leading technology partners and have been recognized for our innovative approach. Our goal is to help people everywhere get better answers through AI. Job Description We are looking for a Senior Backend Engineer who can take ownership of important systems instead of only completing assigned tasks. You will solve complex problems, design backend solutions, build them, and make sure they run well in production. We want someone with strong technical skills, good communication, and the ability to create simple, reliable, and easy-to-maintain systems. This is a product engineering role with responsibility from system design to production. The position is based in Warsaw and requires office work. Responsibilities Design and develop backend services, APIs, data processing, and background tasks for production systems. Turn unclear business needs into clear technical plans and practical solutions. Maintain services after release by improving reliability, monitoring, performance, and fixing issues. Make good decisions about system architecture, data models, interfaces, and future scaling. Write technical documentation, architecture notes, and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers to deliver complete solutions. Improve development processes using AI tools, automation, and internal workflows. Support the team through code reviews, design reviews, and practical technical leadership. Requirements Strong experience as a senior backend engineer working on production systems. Excellent Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failure handling, data consistency, asynchronous processing, and service design. Experience with cloud platforms such as AWS, Azure, or similar services. Knowledge of SQL, NoSQL databases, schema design, and performance optimization. Ability to take a project from an idea through design and implementation to production. Strong written and spoken communication skills with the ability to explain technical topics clearly. Regular use of AI tools in everyday development and interest in improving AI-based workflows. Nice to Have Experience with LLM-based applications, search systems, AI infrastructure, or large data pipelines. Knowledge of TypeScript or the ability to contribute to frontend development when needed. Experience guiding other engineers and influencing technical decisions without being a formal manager. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack and opportunities to contribute to open-source projects. Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP servers. Our Culture and Values Our leadership team has strong experience in AI and knowledge management. We have secured more than $60 million in funding and achieved three years of continuous 3x growth. Our work is based on these values: Quality – We aim for excellent work and high coding standards. Momentum – We take initiative and keep projects moving forward. Accountability – We take responsibility and give honest, respectful feedback. Hard Work – We believe great results come from teamwork and consistent effort. Learning Agility – We stay curious, learn from mistakes, and improve every day. Adapt and Thrive – We accept change and see challenges as opportunities. Win Together – We succeed as one team through honesty, openness, and support for our shared mission.

🏢 Summary: Backend Engineer role focused on building and maintaining scalable, resilient web-based platforms for global clients. The position involves working in small teams to deliver robust backend systems aligned with client requirements. The role includes developing modern APIs and supporting infrastructure using a contemporary technology stack. 🗂️ Requirements: 2+ years commercial experience in web-based application development, Experience with Ruby, Python, or JavaScript, Experience with SQL databases, Experience with AWS, Docker, or Kubernetes, Strong OOP skills, Experience with Git, Experience with unit testing, Experience with debugging and profiling, Experience with CI/CD, Experience in building modern APIs, Understanding of end-to-end software development cycle 📃 Skills: Ruby, Python, JavaScript, SQL, AWS, Docker, Kubernetes, OOP, Git, CI, CD, APIs, Testing, Debugging, Profiling, Vue.js, React.js, Node.js 🏢 Description: At Upside , we’re not just shipping features - we’re partnering with ambitious companies across the globe to solve complex, meaningful problems through technology. We work in small, focused teams, combining engineering, product thinking, and design, to deliver outcomes, not just output. Open-source is a strategic part of our work. We build and maintain a number of open-source projects that support our clients and internal R&D. Our latest release is Enthusiast , an AI Agent framework tailored for e-commerce use cases. Role Overview: As a Backend Engineer, you will be integral to the process of building and maintaining platforms that meet the needs of our global clients. Your work will significantly support the infrastructure of the solutions directed towards clients. You'll be part of a development team, sized between 3 to 9 members, dedicated to crafting scalable and resilient backend systems. This role involves collaborating closely with both the development team and our clients, ensuring that our backend solutions are perfectly aligned with client requirements and expectations. Job requirements → Relevant commercial experience in building web-based application (>2 years). → Experience in at least one of Upside’s core technology stack: Ruby, Python, JavaScript or the willingness to learn based on your current skills.→ Deep understanding of end-to-end software development cycle. → Great command of written and spoken English. Relevant technology skills: →  Experience with SQL databases. →  Experience with orchestration tools (e.g. AWS/Docker/Kubernetes ). →  Solid OOP skills. →  Experience with Git, unit testing, debugging, and profiling. →  Experience with Continuous Integration and Continuous Delivery. →  Experience in creating modern APIs. →  Knowledge of frontend frameworks and tools (e.g. Vue.js, React.js ) is nice to have. →  Knowledge of Node.js, JavaScript is nice to have. If you didn't find all the information you were looking for, have a look at our handbook - it covers a variety of different matters that could be important at this stage. If there's anything else we did not mention that you're interested in - share your thoughts with us careers@upsidelab.io Salary : Regular Engineer: 10 000 - 13 600 PLN net + VAT Regular+ Engineer: 14 800 - 19 300 PLN net + VAT Location: Office in Kraków, hybrid, fully remotely.

🏢 Summary: Backend Engineer role focused on building secure, high-performance microservices and scalable data pipelines in AWS environments. The position involves designing Python-based REST APIs, implementing enterprise-grade security standards, and orchestrating containerized and serverless infrastructure. The engineer will work on real-time security analytics integrations, encrypted communication channels, and identity management systems. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering or related field, 3+ years of backend engineering experience, Experience with distributed systems, Strong knowledge of network security principles, Knowledge of encryption standards, Understanding of enterprise data privacy, Experience designing RESTful APIs, Experience with microservices architecture, Experience with AWS cloud services, Experience with containerization and orchestration 📃 Skills: Python, REST, Microservices, AWS, DynamoDB, IAM, Lambda, APIGateway, Redis, Docker, Kubernetes, Helm, SAML, MFA, RBAC, Splunk, Spacebridge, Protobuf, WebSockets 🏢 Description: Location: Warsaw, Poland (Hybrid preferred, open to remote within Poland) Experience: 3+ years Job Description: Backend Engineer – Security & Mobile Connectivity Team Description The team manages the Splunk Connected Experiences ecosystem, bridging the gap between core data and mobile accessibility. We specialize in the administration of Splunk Secure Gateway , leveraging Spacebridge technology to provide end-to-end encrypted, VPN-less access to operational intelligence. We are dedicated to maintaining a secure, high-performance infrastructure that allows stakeholders to monitor system health and respond to critical incidents via Splunk Mobile , ensuring data integrity through advanced MDM integrations, security ecosystems, and SAML authentication. Role Overview We are seeking a highly skilled Backend Engineer to contribute to our engineering initiatives, with a focus on building secure, scalable, and high-performance backend systems. This role demands a robust understanding of backend architecture, security integrations, and practical experience with a suite of contemporary technologies including Splunk Secure Gateway , Splunk Mobile . 🛠️ Core Technical Requirements Languages & Frameworks • Proficiency in Python 3 for backend service development. • Experience building RESTful APIs and microservices architectures. • Familiarity with React for collaborating on frontend interactions. Cloud Infrastructure (AWS) • AWS DynamoDB : NoSQL data modeling and management. • AWS IAM : Role-based access control and security policy enforcement. • AWS Lambda & API Gateway : Serverless architecture patterns. Data Management & Caching • Proficiency with Redis for in-memory caching, session management, and high-availability cluster configurations. Containerization & Orchestration • Docker & Docker Compose : Containerized development and multi-service environments. • Kubernetes : Orchestration, scaling, and operations of containerized applications. • Helm : Chart management and cluster administration. 🔐 Security & Integration Requirements Splunk & Mobile Connectivity • Splunk Secure Gateway: Administer and configure the Gateway to facilitate encrypted, VPN-less communication between Splunk instances and mobile devices via Spacebridge . • Splunk Mobile Deployment: Manage the rollout of Splunk Mobile to provide stakeholders with real-time alerts and mobile-optimized dashboards (Dashboard Studio/Classic). • Secure Firewall App for Splunk: Integration with Firewall Management Center (FMC) and configuration of eStreamer Client Add-On for data ingestion. • Secure Network Analytics (SNA): SSL certificate management and Webhook setup for forwarding alerts to Splunk HTTP Event Collector (HEC). Authentication & Access Control • SAML 2.0 & SSO: Hands-on experience with Identity Providers (IdP), Active Directory (AD) attribute mapping, and SAML group/role configuration. • Identity Security: Experience with Duo Single Sign-On and Two-Factor Authentication (2FA) policy enforcement. Endpoint Security Analytics 📊 Responsibilities • Design & Develop: Build and maintain scalable backend services and APIs that power our secure data pipelines. • Secure Connectivity: Implement and manage secure communication flows via Splunk Secure Gateway and Spacebridge. • Security Integration: Collaborate with security teams on Secure Firewall and SNA integrations to build real-time threat discovery dashboards. • Infrastructure Management: Manage containerized deployments using Docker and Kubernetes while optimizing AWS and Redis performance. • Mobile Optimization: Ensure critical business metrics and alerts are securely accessible via Splunk Mobile. ⭐ Desirable Experience • Protobuf for efficient data serialization. • WebSockets for real-time bidirectional communication. • Duo Network Gateway (DNG) for secure access to on-premises web applications and SSH/RDP hosts. • Knowledge of DMZ architecture and secure network design principles. 🎓 Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field. • 3+ years of backend engineering experience. • Strong understanding of network security principles and enterprise data privacy.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior Backend Engineer role focused on designing, building, and maintaining production backend systems and AI-driven workflows in a fully onsite Warsaw office environment. The position involves ownership of system architecture, APIs, distributed systems, and cloud infrastructure from design through production. Candidates will collaborate across teams, improve engineering processes with AI tools, and contribute to scalable, reliable solutions. 🗂️ Requirements: Strong experience as a senior backend engineer on production systems, Excellent Python programming skills, Understanding of distributed systems, Experience with AWS or Azure cloud platforms, Knowledge of SQL and NoSQL databases, Experience with asynchronous processing and service design, Ability to design and deliver systems from idea to production, Strong written and spoken communication skills, Regular use of AI development tools, Ability to work fully onsite in Warsaw 📃 Skills: Python, AWS, Azure, SQL, NoSQL, APIs, AI, TypeScript, GitHub, Copilot, Claude, OpenAI, Codex 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . 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 allows AI to make better decisions and provide accurate, reliable, and compliant results. Well-known companies from different industries use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just seconds. We also work with leading technology partners and have been recognized for our innovative approach. Our goal is to help people everywhere get better answers through AI. Job Description We are looking for a Senior Backend Engineer who can take ownership of important systems instead of only completing assigned tasks. You will solve complex problems, design backend solutions, build them, and make sure they run well in production. We want someone with strong technical skills, good communication, and the ability to create simple, reliable, and easy-to-maintain systems. This is a product engineering role with responsibility from system design to production. The position is based in Warsaw and requires office work. Responsibilities Design and develop backend services, APIs, data processing, and background tasks for production systems. Turn unclear business needs into clear technical plans and practical solutions. Maintain services after release by improving reliability, monitoring, performance, and fixing issues. Make good decisions about system architecture, data models, interfaces, and future scaling. Write technical documentation, architecture notes, and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers to deliver complete solutions. Improve development processes using AI tools, automation, and internal workflows. Support the team through code reviews, design reviews, and practical technical leadership. Requirements Strong experience as a senior backend engineer working on production systems. Excellent Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failure handling, data consistency, asynchronous processing, and service design. Experience with cloud platforms such as AWS, Azure, or similar services. Knowledge of SQL, NoSQL databases, schema design, and performance optimization. Ability to take a project from an idea through design and implementation to production. Strong written and spoken communication skills with the ability to explain technical topics clearly. Regular use of AI tools in everyday development and interest in improving AI-based workflows. Nice to Have Experience with LLM-based applications, search systems, AI infrastructure, or large data pipelines. Knowledge of TypeScript or the ability to contribute to frontend development when needed. Experience guiding other engineers and influencing technical decisions without being a formal manager. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack and opportunities to contribute to open-source projects. Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP servers. Our Culture and Values Our leadership team has strong experience in AI and knowledge management. We have secured more than $60 million in funding and achieved three years of continuous 3x growth. Our work is based on these values: Quality – We aim for excellent work and high coding standards. Momentum – We take initiative and keep projects moving forward. Accountability – We take responsibility and give honest, respectful feedback. Hard Work – We believe great results come from teamwork and consistent effort. Learning Agility – We stay curious, learn from mistakes, and improve every day. Adapt and Thrive – We accept change and see challenges as opportunities. Win Together – We succeed as one team through honesty, openness, and support for our shared mission.

🏢 Summary: Backend Software Engineer role focused on building and evolving core services for a scalable, microservices-based IoT platform managing millions of devices globally. The position involves designing, developing, and maintaining high-performance backend systems in a cloud-native, distributed environment. You will contribute across the full software development lifecycle, including architecture, deployment automation, and reliability improvements. 🗂️ Requirements: Proficiency in at least one JVM language (Java or Scala), Understanding of secure software development (authentication, authorization, data handling), Knowledge of data storage and caching (MongoDB, Redis), Ability to write clean, production-grade backend code, Basic understanding of cloud-native environments (containers, CI/CD, Kubernetes), Experience with backend service design and distributed systems concepts 📃 Skills: Java, Scala, JVM, MongoDB, Redis, Kubernetes, CI/CD, Containers, REST, Microservices, Cloud, Authentication, Authorization, Caching, AI 🏢 Description: Software Engineer (Backend) Join the team responsible for developing and maintaining Coiote DM – a scalable, microservices-based platform used to remotely manage millions of IoT devices worldwide. Our system enables secure device provisioning, monitoring, firmware updates, and large-scale device lifecycle management. We work with modern backend technologies, cloud infrastructure, and distributed systems to ensure high performance, scalability, and reliability. We are looking for a Regular Software Engineer (Backend) to join our team and help us build and evolve core backend services powering the platform. Requirements: Good understanding of at least one JVM language (Java or Scala) Understanding of secure software development (authentication, authorization, data handling) Knowledge of data storage and caching (e.g., MongoDB, Redis) Writing clean, maintainable, production-grade backend code using modern AI assistance Basic understanding of cloud-native environments (containers, CI/CD, Kubernetes) English (B2+) and Polish (C2- we speak Polish on a daily basis) A huge plus if you have: Awareness of infrastructure (for eg. service discovery, networking, circuit breaking, retries, routing, K8s, VMs, CI/CD) ISO/OSI model (basic networking knowledge) Practical understanding of REST APIs, service integration patterns, event driven and distributed architectures Using logs, metrics, traces, dashboards for debugging and analyses Responsibilities: Participate in the full software development lifecycle: design, development, code review, testing, deployment, and maintenance Design and implement scalable and reliable service infrastructure Build and improve deployment automation and CI/CD pipelines Collaborate with product and customer-facing teams on technical analysis, PoCs, and custom adaptations Support other engineers through code reviews, feedback, and mentoring (especially junior team members) Contribute to improving engineering practices, technical standards, and system architecture Work model: Hybrid work model Mandatory onboarding period (first 3 months): at least 3 days per week in the office What we offer: Work on a large-scale IoT platform used globally Real impact on architecture, performance, and product quality Close collaboration with experienced engineers Space for initiative and technical ownership Opportunity to grow in backend, cloud, and distributed systems Flexible working hours Equipment of your choice (MacBook Pro / ThinkPad) Team with strong engineering culture and a good sense of humor Onsite gym and chillout space Multisport card Medical care Kitchen full of snacks and treats (including Good Lood ice cream) Car parking area and bike room A relaxed work atmosphere – no dress code, no open space