Senior Full-Stack Engineer

🏢 Summary: Senior Applied AI Research Engineer role focused on architecting and shipping AI-driven financial analysis systems in a regulated environment. The position involves building multi-agent AI workflows, distributed backend infrastructure, and internal tooling to ensure reliable, explainable, and auditable AI outputs at scale. You will lead technical decisions across modeling, infrastructure, and product-quality interfaces to power mission-critical financial intelligence systems. 🗂️ Requirements: 5-8+ years of engineering experience leading systems from design to production, Hands-on experience with AI/ML systems in production (agents, LLMs, evaluation, pipelines), Strong Python expertise including async services and scalable systems, Experience building AI systems in regulated industries with compliance and auditability requirements, Strong distributed systems knowledge (event-driven architectures, message queues, job state machines, worker patterns), Relational database proficiency and data modeling skills, Ability to build React/TypeScript product-quality interfaces, Experience designing and validating AI output testing and monitoring frameworks 📃 Skills: Python, FastAPI, LLM, AI, ML, React, TypeScript, SQL, APIs, DistributedSystems, MessageQueues, EventDrivenArchitecture 🏢 Description: About Monstro Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. About the Role We're looking for a Senior Applied AI Research Engineer to support our AI team at the heart of the company's mission. This is a deeply technical role with real scope: you'll architect and ship systems that power AI-driven financial analysis, build the tooling and infrastructure that domain experts rely on, and set the engineering bar for how we build AI systems responsibly in a regulated industry. You'll influence how we design agents, how we validate and govern AI output, how we scale our modeling infrastructure, and how we think about auditability and compliance. The intelligence layer is the product. What You'll Do - Architect and build AI agent systems — including multi-agent workflows, orchestration layers, and the infrastructure that makes them reliable and auditable in production - Design modeling and reasoning systems that meet the correctness and explainability requirements of financial services, where every recommendation needs to be traceable and defensible - Build internal tooling platforms (Python/FastAPI) that enable domain experts and engineers to author, validate, and deploy AI-powered analysis at scale - Own distributed backend infrastructure: event-driven workers, job pipelines, and multi-stage processing systems that deliver AI outputs reliably under load - Establish patterns for AI output validation and quality assurance, including automated evaluation pipelines, hallucination detection, and compliance guardrails - Drive technical decisions across teams: schema design, API contracts, system boundaries, and service architecture What We're Looking For - 5-8+ years of engineering experience, with a track record of leading complex systems from design to production - Hands-on experience with AI/ML systems — agent architectures, LLM integration, model evaluation, or AI pipelines in production - Python expertise — async services, type-safe code, and systems that scale - Experience building AI systems in regulated industries (financial services, healthcare, legal) or with compliance, auditability, or explainability requirements - Strong distributed systems fundamentals: event-driven architectures, message queues, job state machines, and worker patterns - Relational database fluency and an instinct for data modeling - Full-stack range — ability to build product-quality React/TypeScript UIs when needed - Strong opinions on how AI systems should be tested, evaluated, and monitored in production Nice to Have - Experience designing multi-agent systems, agentic workflows, or AI orchestration layers - Background in quantitative finance, financial planning, or wealth management technology - Experience leading technical teams or acting as a force multiplier across engineering Why Monstro? - Ownership & Impact: Shape the future of AI-powered finance, building a product used by consumers and institutions worldwide - Experienced Team: Leadership with a track record of scaling companies from early stage to major exits - Principles-Driven Culture: Emphasis on speed, ownership, and impact - Comprehensive Compensation Package: Competitive salary, equity, and robust benefits including paid health, vision, dental, and disability coverage Base Compensation Range (New York City): $194,000 - $235,000 Final compensation will depend on experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. A Note on Interviewing We sometimes use AI note-takers to help transcribe interview notes. Candidates may opt out of automatic transcribers in their application. Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we'd love to hear from you.

🏢 Summary: Senior Full Stack Engineer role focused on owning and delivering AI-native production systems end-to-end, from backend and infrastructure to frontend layers. The position involves architecting scalable services, building retrieval and LLM-based pipelines, and solving complex distributed systems challenges in cloud environments. It requires high autonomy and strong engineering judgment to ship reliable, high-performance systems. 🗂️ Requirements: 8+ years of experience building and shipping production systems, Strong system design and data modeling skills, Experience with backend development in Python, Experience designing and building scalable APIs, Experience with PostgreSQL and Redis, Experience working with distributed systems, Experience deploying systems to cloud platforms (GCP, AWS, or Azure), Ability to design, build, and deploy systems end-to-end independently, Strong understanding of concurrency and performance optimization 📃 Skills: Python, PostgreSQL, Redis, Temporal, Hatchet, GCP, AWS, Azure, Kubernetes, LLM, APIs, Embeddings, Reranking, DistributedSystems, Concurrency, SystemDesign 🏢 Description: Senior Full Stack Engineer Streetbeat Streetbeat builds AI-native software for financial institutions. We design and operate production systems where LLMs, data infrastructure, and real-world constraints intersect . Our products are used across Europe and the United States by institutions that expect reliability, precision, and performance. We are deliberately small, highly selective, and deeply focused on execution. We value clarity of thought, technical depth, and the ability to ship meaningful systems quickly . This is not a company optimized for headcount. It is optimized for talent density . The Role We are looking for a Senior Full Stack Engineer who can take full ownership of complex product surfaces and bring them to production with precision. You will operate across backend systems, infrastructure, AI pipelines, and frontend layers. The work is varied, but never trivial: from designing resilient APIs to improving retrieval systems, from debugging distributed systems to refining critical user workflows. You will be trusted to navigate ambiguity, make high-quality decisions, and execute without friction . This role is designed for engineers who are not just implementers, but builders with taste, judgment, and depth . What You’ll Do Own systems end-to-end, from initial concept to production deployment Architect and build backend services using Python, PostgreSQL, Redis, Temporal, and Hatchet Design APIs that are both robust and elegant, supporting real-world usage at scale Work on AI-native systems: retrieval pipelines, embeddings, reranking, agent workflows, and evaluation layers Improve performance, reliability, and observability across the stack Solve non-trivial infrastructure challenges across GCP, AWS, and Azure Diagnose and resolve complex production issues in distributed systems Collaborate closely with product and leadership to shape direction—not just execute on it Make pragmatic, high-leverage technical decisions with strong engineering judgment What We’re Looking For 8+ years of experience building and shipping production systems Strong fundamentals in system design, data modeling, concurrency, and performance Demonstrated ability to take products from idea to production independently Comfort operating across multiple layers of the stack when necessary Strong product intuition and attention to user experience High ownership, autonomy, and accountability Ability to learn quickly and reason from first principles Clear, structured communication A genuine interest in understanding how systems work at a fundamental level Nice to Have Experience working with LLM-based systems in production Familiarity with Kubernetes and modern cloud infrastructure Strong debugging instincts and a bias toward root cause analysis Experience in high-performance or fast-scaling startup environments You Don’t Need Prior experience in fintech or trading Who Thrives Here Engineers who derive satisfaction from shipping high-quality systems People who prioritize substance over optics Individuals comfortable operating with high autonomy and low process Builders who can translate ambiguity into well-structured solutions Those who seek responsibility and impact , not permission People who care about quality - but understand when to ship Why Streetbeat Immediate and tangible impact on real systems used in production High ownership with minimal bureaucracy Exposure to complex, meaningful technical challenges A small, highly capable team with strong engineering standards Competitive compensation aligned with talent and impact Offices in Italy, Poland, and Palo Alto, with opportunities to travel Streetbeat is built for engineers who value depth, clarity, and execution - and who want to be surrounded by others who do the same.

🏢 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 or Staff Backend Engineer role focused on architecting and scaling AI-native backend services for a modern accounting platform. The position involves designing distributed systems, building secure and high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to build scalable data pipelines and incident response infrastructure. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing and operating production backend systems at scale, Strong expertise in API design and data modelling, Deep understanding of distributed systems and architectural trade-offs, Hands-on experience with AWS or GCP in production environments, Practical experience with CI/CD pipelines and automated testing, Experience building and maintaining observability and on-call practices 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems, DataModelling, Observability 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. 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 — this is a deliberate choice, not a compromise. 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 transforming a mission-critical e-commerce domain supporting subscriptions and purchasing journeys for millions of users. The position centers on migrating a monolithic system to scalable microservices, improving performance and reliability, and shaping the future architecture of a global platform. Engineers will work with event-driven systems and modern AI tools while owning solutions end-to-end. 🗂️ Requirements: 5+ years of professional backend engineering experience, Strong experience designing and operating microservices architectures, Experience modernising legacy systems and decomposing monoliths, Solid understanding of distributed systems and scalable backend design, Commercial experience with Go, Java, Kotlin or Scala, Hands-on experience with Kafka or similar event-streaming technologies, Hands-on experience with PostgreSQL, Hands-on experience with Docker and Kubernetes, Experience with CI/CD pipelines, Practical experience using AI coding assistants (Claude Code, Cursor, Copilot or similar), Ability to review and validate AI-generated code, Comfortable owning solutions from idea to production 📃 Skills: Go, Golang, Java, Kotlin, Scala, Kafka, PostgreSQL, Docker, Kubernetes, CI/CD, GraphQL, DDD, TDD, BDD, Microservices 🏢 Description: Join a global e-commerce technology organisation serving millions of customers across multiple international markets. As a Senior Backend Engineer, you will become part of a team responsible for one of the company's most critical customer-facing domains. The platform supports customer subscriptions, plans, and purchasing journeys used daily by millions of users. This is not a maintenance role. The team is actively transforming a mission-critical domain, modernising legacy systems, reducing technical debt, and building the next generation of scalable services that will support future growth. You will play a key role in migrating core functionality from a monolithic architecture to modern microservices while helping shape the future architecture of a global platform. What You'll Do Build & Scale Core Services Design, develop, and maintain scalable backend services within a distributed microservices architecture. Build reliable systems supporting millions of customer interactions. Improve performance, reliability, and scalability across critical customer-facing services. Drive Modernisation Lead the migration of key business domains from monolithic systems to modern microservices. Reduce technical debt and improve long-term maintainability. Design solutions that support future platform growth. Shape Architecture Participate in architecture discussions and technical decision-making. Design orchestration layers supporting complex customer journeys and business processes. Help define engineering standards and best practices. Work with Event-Driven Systems Build and operate services powered by event-driven architectures. Work extensively with Kafka and real-time lifecycle events. Design resilient and observable distributed systems. Raise Engineering Standards Conduct code reviews and support other engineers through technical guidance. Promote best practices across software development, testing, deployment, and observability. Contribute to a strong culture of ownership and continuous improvement. AI-Powered Engineering Use modern AI tools and coding agents throughout the software development lifecycle. Leverage AI for onboarding, architecture exploration, implementation, testing, debugging, and productivity improvements. Apply engineering judgement to validate, verify, and safely integrate AI-generated outputs. What We're Looking For Backend Engineering Expertise 5+ years of professional backend engineering experience. Strong experience designing and operating microservices architectures. Experience modernising legacy systems and decomposing monoliths. Solid understanding of distributed systems and scalable backend design. Technical Stack Commercial experience with Go (Golang), Java, Kotlin or Scala Engineers coming from a JVM background should be open to working in a Go-driven environment. Hands-on experience with: Kafka or similar event-streaming technologies PostgreSQL Docker Kubernetes CI/CD pipelines Product & Ownership Mindset Comfortable owning solutions from idea through production. Strong problem-solving skills and ability to make technical trade-offs. Experience collaborating with product, business, and engineering stakeholders. AI Fluency Practical experience using AI coding assistants such as Claude Code, Cursor, Copilot, or similar tools. Understanding of how context, prompts, constraints, and validation influence AI-generated outputs. Ability to critically review and verify AI-generated solutions. Nice to Have Experience with subscription-based products. Experience in e-commerce environments. GraphQL knowledge. Familiarity with DDD, TDD, and BDD practices. What We Offer Opportunity to build systems used by millions of customers globally. High-impact engineering work with significant architectural ownership. International collaboration across distributed engineering teams. End-to-end ownership from idea to production. Hybrid working model (3 days per week in the Warsaw office). B2B cooperation model. 30 days of paid annual leave. Modern office located in Warsaw city centre. Continuous learning and professional growth opportunities.

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.

🏢 Summary: Senior Full Stack Engineer role focused on building and owning end-to-end product features for an AI-driven platform that automates complex business processes. The position involves developing frontend and backend solutions, designing APIs, improving performance and usability, and leveraging AI tools in daily engineering work. The role is office-based in Warsaw and requires strong product thinking and production-level experience. 🗂️ Requirements: Senior-level experience building production web applications, Strong knowledge of React and TypeScript or similar frontend framework, Experience designing and developing backend APIs and application logic, Ability to build and maintain frontend and backend features end-to-end, Experience working with production environments and monitoring released features, Daily use of AI tools for development and problem-solving, Strong understanding of code quality, testing, and long-term ownership 📃 Skills: React, TypeScript, JavaScript, API, REST, Node.js, Python, GitHub, Copilot, Claude, OpenAI, Codex, TypingMind, MCP, AI 🏢 Description: About Us Many companies want to use AI agents, but these agents often have problems with complex business tasks. We help solve this issue. Our platform understands company rules, processes, and workflows, so AI can make better decisions instead of only giving simple answers. This allows businesses to use AI that is accurate, follows company policies, and can be trusted. Well-known companies 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 a few seconds. We work with leading technology partners and have received industry recognition for our innovative approach. Our mission is to give people better answers everywhere. About the Role We are looking for a Senior Full Stack Engineer with strong product thinking. In this role, you will own features from start to finish. You will understand user needs, plan solutions, build frontend and backend functionality, release new features, and improve them based on user feedback. You should feel comfortable working on user interfaces, APIs, and production quality while collaborating with product and design teams. Location: Warsaw (office-based). Responsibilities Build and deliver product features across both frontend and backend. Turn product ideas into practical and effective solutions. Work with user interfaces, business logic, APIs, and data flows. Cooperate closely with product managers and designers, even when requirements are still developing. Improve usability, performance, reliability, and overall user experience. Monitor released features and use production data to make improvements. Use AI tools every day to work faster and improve engineering processes. Maintain high standards for code quality, testing, and long-term ownership. Requirements Strong experience as a senior engineer building production web applications. Good knowledge of React, TypeScript, or a similar modern frontend framework. Experience designing and developing backend APIs and application logic. Strong product mindset with the ability to identify and improve weak user experiences. Good decision-making skills when balancing scope, speed, and technical quality. Clear communication and teamwork across engineering, product, and design. Daily experience using AI tools for development and problem-solving. Nice to Have Experience building AI-powered products such as chat, search, recommendation systems, workflows, or AI agents. Knowledge of Python, Node.js, or both. Experience owning product areas independently. Understanding of performance optimization, accessibility, and high-quality web applications. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack with opportunities to contribute to open-source projects. Advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. Why Join Us Our leadership team has strong experience in knowledge management and AI. We have raised more than $60 million in funding and achieved three years of continuous 3x growth. Our work is guided by these core values: Quality: We aim for excellent craftsmanship and high standards in everything we build. Momentum: We take initiative and keep projects moving forward. Accountability: We take responsibility, give honest feedback, and support each other. Hard Work: We believe difficult goals require dedication and teamwork. Learning Agility: We stay curious, learn from mistakes, and keep improving. Adapt and Thrive: We accept change and see challenges as opportunities. Win Together: We succeed as a team through honesty, openness, and shared commitment.

🏢 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: Senior Backend Engineer role focused on defining the technical direction and architecture of a domain within a borderless financial platform. The position involves designing scalable microservices, driving architectural decisions, and leading a small backend team in a distributed environment. The role emphasizes reliability, security, and high‑volume transaction processing in a cloud-based ecosystem. 🗂️ Requirements: 4-7 years backend engineering experience, Proficiency in Go, Experience with Java 21 or modern Java, Experience designing microservices with clear contracts, Experience with caching strategies including TTL and invalidation, Experience with event-driven or asynchronous architectures, Experience with structured logging, metrics, and alerting, Experience with AWS services, Experience with relational and non-relational databases, Experience with Spring Boot or similar frameworks, Experience reviewing code and architectural decisions, Availability to work in GMT+5:30 timezone 📃 Skills: Java, Go, Spring, JDBI, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS, EKS, ALB, RDS, S3, Kong, Datadog, Quickwit, JWT, RBAC, TLS, Docker, ArgoCD, GitHub, Microservices, Kafka, CDC 🏢 Description: Project overview This project focuses on developing a borderless financial platform that supports international banking flows, payments, account management and regulatory compliant operations. The product handles sensitive data and high volume transactions while prioritising reliability and security. Team You will work in a distributed environment with backend engineers, a product manager and platform specialists. The role involves leading a sub team of three to five engineers, conducting design reviews, ensuring code quality standards and supporting collaborative decision making. Position overview We are looking for a Senior Backend Engineer who will define the technical direction of a backend domain and drive architectural decisions. You will design microservices, create scalable solutions, guide a small engineering group and collaborate closely with product specialists to shape the delivery roadmap. We are looking for a person willing to work in the time zone: GMT+5:30. Technology stack Java 21, Go, Spring Boot, JDBI, custom workflow engines, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS EKS ALB RDS S3 Secrets Manager, Kong API Gateway, Datadog, Quickwit, JWT RBAC TLS request and response encryption VAPT, GitHub Actions, Docker, ArgoCD, microservices, event driven architecture, saga and orchestration patterns, CDC pipelines, maker checker workflows Responsibilities Plan and design backend microservices with clear boundaries and contracts Develop solutions for domains such as onboarding, payments, transaction orchestration or platform components Break complex epics into actionable tasks with clear acceptance criteria Review designs from other engineers to ensure scalability and fault tolerance Drive technical decisions including caching layers, asynchronous processing strategies, database choices and API versioning Evaluate build versus buy options for integrations and services Collaborate with a product manager to align on scope and prioritisation Lead a sub team of backend engineers and support their professional growth Support incident response, root cause analysis and long term improvements Monitor service performance using logging, metrics and tracing tools Requirements Professional backend engineering experience from 4-7 years Experience with Go (tooling & CLIs) Experience designing microservices with well-defined contracts and boundaries Experience with Java 21 or modern Java versions Experience with caching strategy design, including TTL and invalidation approaches Experience working with asynchronous processing, event-driven architecture, or queue-based workflows Experience using structured logging, metrics, and alerting to debug production systems Experience in making build versus buy decisions with clear trade-off analysis Experience reviewing code and identifying architectural or contract issues Experience with AWS-based services Experience working with relational and non-relational databases such as PostgreSQL or DynamoDB Experience writing backend services using Spring Boot or similar frameworks Nice to have Experience with financial or payments related systems Experience with KYC or AML flows Experience with workflow or orchestration engines Experience with platform wide pattern creation or reusable service design Experience with data encryption practices and security audits Experience with CockroachDB or high availability distributed databases What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Senior Software Engineer role focused on building and operating monetization systems for a large-scale live game. The position involves developing and maintaining highly available backend services, web UI surfaces, and client integrations with strong DevOps and reliability practices. You will work across the full stack to support purchasing, rewards, and progression systems with high reliability expectations. 🗂️ Requirements: Strong Java 21 expertise, Experience with distributed systems and service-oriented architecture, Proficiency in REST APIs and SQL databases, Experience with CI/CD systems, Working knowledge of C++ for client integration, Understanding of client-server interactions (HTTP/REST), Proficiency in HTML, CSS, and JavaScript, Experience with Linux environments, Scripting skills in Bash or Python, Experience with observability and monitoring tools, Version control experience, Experience in incident response and live operations 📃 Skills: Java, C++, SQL, REST, HTML, CSS, JavaScript, Linux, Bash, Python, Datadog, Git, Perforce, Jenkins, PagerDuty 🏢 Description: About the role: Our client is an established game studio renowned for its highly successful MOBA and FPS franchises. ​As a Senior Software Engineer on the Monetisations team, you will have the chance to build and operate key player-facing systems that support the purchasing, rewarding, and progression experiences within one of the world’s largest live games.​ You will be responsible for maintaining game systems that are healthy, reliable, and continually evolving. You will work across backend services, deployment pipelines, monitoring systems, and integration points with the Game Client with very high reliability and quality expectations. You must combine a DevOps mindset with the ability to contribute code across the full game technology stack.​By joining the team, you will help accelerate the delivery of upcoming strategic initiatives. You will work on a daily basis with an engineering team based in Dublin (Ireland), but occasional afternoon meetings with other teams based on the US West Coast (LA and Seattle) are also possible. This role requires engineers with strong Java backend skills, solid web UI skills, a DevOps mindset , and familiarity with C++ client integration Responsibilities: Maintaining and improving large-scale distributed systems that support players globally Automate operational processes and reduce team toil (scripts, pipelines, diagnostic tools) Improve observability, monitoring, alerting, and deployment workflows Working on highly available backend services with strong operational rigor Supporting and extending the existing Game Client experience (Web UI surfaces built with HTML/CSS/JS and C++ integration points) Contributing to KTLO efforts , including quality improvements, bug fixes, and feature updates Participating in live operations , including on-call rotation, incident investigation, stability improvements, release validation, and root-cause analysis Collaborating across product, QA, design, art, and data teams to support seasonal content, offers, store changes, and monetization updates Feature delivery within established systems , often spanning multiple pods or workstreams Required Core Technical Skills: Backend Strong Java 21 expertise (main language for service maintenance/development) Distributed systems debugging and service-oriented architecture REST APIs, SQL data stores CI/CD systems (Cloudbees Jenkins ) Game Client Working familiarity with C++ for client integration fixes Understanding of client-server interactions (HTTP/REST) and data flow paths Web Surfaces & UI HTML, CSS, Javascript DevOps Tooling & Reliability Engineering Linux , Bash / Python scripting Observability platforms ( Datadog ) Version Control expertise ( Git , Perforce ) Incident response and postmortem practices ( Pagerduty ) Behavioural Expectations: High ownership over production health and system reliability Clear communicator during high-pressure situations (e.g. live incidents) Autonomy in navigating legacy systems and ambiguous problem spaces Strong collaboration with backend, client, QA, and operations teams Player-first thinking – minimizing downtime, regressions, and impact on players Nice To Have: Experience in the gaming industry, particularly with online multiplayer games Experience working with cross-discipline organizations that build data products