Senior / Staff Platform Engineer (AWS · Infrastructure · Distributed System)

🏢 Summary: End-to-end full-stack engineering role focused on building and operating a protocol for structured, verifiable multi-party agreements and programmable payments. You will design, ship, and maintain production systems across frontend, backend, and AWS infrastructure with full ownership and accountability. The role emphasizes distributed systems correctness, stateful event-driven architectures, and serverless cloud infrastructure. 🗂️ Requirements: 7+ years building and shipping production full-stack systems, Strong backend expertise in Node.js and TypeScript, Strong frontend development experience with React, Deep understanding of distributed systems concepts, Experience building stateful, event-driven systems, Hands-on production experience with AWS and serverless architectures, Experience with Infrastructure as Code using AWS SAM or CloudFormation, Strong PostgreSQL experience including schema design and performance tuning, Experience designing for idempotency, auditability, and deterministic execution, Ability to debug and stabilize production systems end-to-end, Strong knowledge of observability, monitoring, and incident response, Experience making architectural decisions around security, reliability, and cost, Ability to own features end-to-end from design to production 📃 Skills: Node.js, TypeScript, React, AWS, Lambda, APIGateway, SQS, SNS, EventBridge, IAM, CloudWatch, RDS, SAM, CloudFormation, PostgreSQL, SQL, Serverless, DistributedSystems, EventDriven, Idempotency, Observability, Monitoring, Logging, Alerting, Concurrency, Consistency, Security, LLMs, API 🏢 Description: About Blue Language Labs Every generation gets one protocol moment. TCP/IP. SMTP. HTTP. A small team writes the spec, ships the first implementation, and fifteen years later the entire world runs on it without knowing who built it. We’re at that moment for economic coordination. AI agents are being deployed everywhere, right now — negotiating, committing, paying, settling on behalf of every company that wants to stay competitive. In a few years there will be billions of them. The problem: there is no protocol for what happens between them. An agent can be smart. It cannot be governed. It can pay. It cannot make a payment conditional on something that actually happened. Agents from different organizations can talk. They cannot safely coordinate across company boundaries. Nobody has built that layer. We’re building it. Blue is a protocol for structured, verifiable, multi-party agreements that execute deterministically, leave an immutable audit trail, and run on existing financial rails. Smart contracts without blockchain. Governance without a platform. Trust without a middleman. PayNotes — programmable payments with conditional capture, milestone releases, automatic refunds, and partner settlement. Logic embedded directly into money movement. MyOS — orchestration layer for merchants and agents. Agentic workflows and cross-platform trust, without touching the protocol directly. The Role You will own features end-to-end — from the React component a merchant clicks to the Lambda function that settles their transaction to the AWS infrastructure that keeps it all standing. No handoffs between "front" and "back". No waiting for someone else to unblock you. This is a high-trust, high-autonomy role. You'll work directly with the founding team, your decisions will ship to production fast, and yes — you'll be on the hook when something breaks. What you get? Competitive B2B compensation based on experience Equity — own a piece of what you build Fully remote work in an async-first environment Direct collaboration with the founding team High autonomy and fast decision-making Small team, outsized impact Work on technology that is genuinely novel End-to-end ownership across product, systems, and production Protocols don’t get built by committees. They get built by small teams who understood the problem before anyone else did. What You'll Do Design and ship full-stack features across payments, document workflows, and agent orchestration Build and maintain stateful systems that demand idempotency, auditability, and safe retry logic Own AWS infrastructure — architecture decisions, serverless systems, IaC (SAM / CloudFormation), monitoring, cost, and security Work with PostgreSQL-backed services and event-driven components Use modern AI tooling (LLMs and coding agents) to accelerate development and experimentation Requirements We're not looking for someone to fill a seat. We're looking for an engineer who gets it — who sees a distributed system and immediately starts asking the right questions about state, consistency, and failure modes. Someone who ships and takes pride in what they ship. 7+ years of experience building and shipping production systems as a full-stack engineer Strong backend expertise in Node.js and TypeScript — not just building APIs, but designing systems that stay correct under load and failure Strong frontend skills with React , including the ability to build polished, production-ready product interfaces without depending on a separate frontend team Solid understanding of distributed systems : consistency, state transitions, concurrency, retries, failure handling, and eventual consistency trade-offs Proven experience building stateful, event-driven systems where correctness matters Hands-on experience with AWS in production, especially Lambda , API Gateway, SQS/SNS, EventBridge, IAM, CloudWatch, RDS, and serverless architecture patterns Strong experience with Infrastructure as Code , ideally AWS SAM and CloudFormation Strong PostgreSQL skills, including schema design, transactions, indexing, migrations, and performance tuning Experience designing systems with idempotency, auditability, and deterministic execution built in from the start Ability to debug and stabilize production systems end-to-end — across application code, infrastructure, data, and runtime behavior Strong grasp of observability , monitoring, logging, alerting, and incident response Good judgment around security, reliability, and cloud cost , with the ability to make pragmatic architectural trade-offs Ability and willingness to own features end-to-end — from product shaping to implementation, deployment, and post-release accountability Comfortable operating in a high-trust, high-autonomy environment with very little hand-holding Strong product and engineering judgment — you ask the right questions early, and you do not need heavy process to move fast responsibly Comfortable using LLMs, coding agents, and modern AI tooling as part of your development workflow Fluent English and Polish, written and spoken Nice to have Experience in payments, fintech, ledgering, settlement, or transactional systems Experience with document workflows , approvals, or multi-party business processes Experience working on systems of record or products with strict audit/compliance expectations Experience at an early-stage startup or in a small, high-talent engineering team Experience building products where reliability and system correctness matter more than shipping surface-level features A process that is practical, clear, and respectful of your time We keep the sequence focused so both sides can understand fit, technical quality, and the shape of the work. Introductory conversation - Up to 60 minutes - A practical conversation about your background, the kind of work you want to do next, and the context behind the role. Take-home assignment - No live coding - We prefer to evaluate technical ability through a realistic take-home task that gives you time to think and show the quality of your approach. Technical interview - Up to 90 minutes - A deeper discussion with a technical leader or senior team member about your experience, engineering judgment, and approach to the assignment. Final review - Clear feedback and a timely decision - We gather feedback, review the process carefully, and aim to communicate clearly throughout.

🏢 Summary: Senior Cloud Engineer role focused on designing, building, and modernizing scalable, secure AWS environments, including greenfield projects, migrations, and advanced Data/Big Data initiatives. The position emphasizes cloud-native architecture, Infrastructure as Code, CI/CD automation, container orchestration, and cost optimization. You will lead technical implementations and guide clients through best practices in AWS-based transformations. 🗂️ Requirements: Strong expertise in AWS services (EC2, EKS, Lambda, RDS, S3, IAM, VPC, API Gateway, CloudWatch), Experience designing infrastructure with Terraform and AWS CDK, Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab, Jenkins, AWS CodePipeline), Experience in scripting or programming (Python, TypeScript, Go, Bash), Practical experience with Docker and Kubernetes/ECS/EKS, Knowledge of IAM, encryption, access control, and secure VPC architecture, Experience with monitoring tools (CloudWatch, Prometheus, Grafana, ELK/EFK), Understanding of AWS Well-Architected Framework, AWS certifications (Solutions Architect, DevOps Engineer, or Advanced Networking), Fluency in English and Polish 📃 Skills: AWS, EC2, EKS, Lambda, RDS, S3, IAM, VPC, APIGateway, CloudWatch, Terraform, CDK, GitHub, GitLab, Jenkins, CodePipeline, Python, TypeScript, Go, Bash, Docker, Kubernetes, ECS, Prometheus, Grafana, ELK, EFK, Route53, TransitGateway 🏢 Description: Ready for an adventure with AWS ? Join Us! As a leading AWS Partner in Europe , we support organizations at every stage of their cloud journey. Our strength comes from deep experience in cloud-native architectures and modernization initiatives. By joining our team, you’ll have the opportunity to shape secure, scalable platforms on AWS, work hands-on with advanced Data & AI technologies, and guide clients through transformative cloud projects. Here, your work will directly impact how businesses innovate, grow, and unlock new value through cloud technologies. As a Senior Cloud Engineer , you will have the opportunity to participate and lead projects across greenfield initiatives ( designing and building infrastructure from scratch), AWS migrations and modernization efforts, as well as advanced Data and Big Data projects . This role will allow you to develop your expertise in cloud-native architecture, security, automation (IaC, CI/CD, Kubernetes), and working with large-scale data platforms. Additionally, you will be involved in FinOps initiatives, gaining hands-on experience in cost optimization and efficient cloud environment management. Your Responsibilities: Architect and implement scalable, secure, and cost-effective cloud solutions on AWS , guiding clients through best practices in cloud-native design and modernization Design, build, and maintain AWS infrastructure using Infrastructure as Code ( IaC ) tools such as Terraform and AWS CDK Develop and manage CI/CD pipelines using tools like Github Actions, GitLab Pipelines, Jenkins or AWS CodePipeline , ensuring smooth and automated deployment processes Monitor, diagnose, and optimize system performance , ensuring high availability, fault tolerance, and scalability across distributed systems Manage containerized applications using Docker , and orchestrate workloads with Kubernetes, Amazon ECS, or EKS Implement robust security practices , including IAM policies, access control, encryption, and compliance auditing aligned with industry standards Deploy and manage observability stacks using tools such as Amazon CloudWatch, Prometheus, and Grafana for proactive monitoring and alerting Write code to automate tasks and workflows using scripting and programming languages such as Python, TypeScript, Go, or Bash Troubleshoot and resolve infrastructure and deployment issues , collaborating closely with development teams to ensure smooth delivery Maintain clear technical documentation , contribute to internal standards, and support knowledge sharing across teams Lead technical webinars , write blog posts , and publish case studies to share insights and promote thought leadership in the AWS ecosystem Represent the company at conferences and industry events, engaging with the cloud community and staying ahead of emerging trends Requirements: Strong AWS expertise across services such as EC2, EKS, Lambda, RDS, S3, IAM, VPC, API Gateway, CloudWatch with a solid grasp of the AWS Well-Architected Framework across design, security, and operational excellence IaC: you design, build, and manage AWS infrastructure using Terraform and AWS CDK, delivering repeatable, version-controlled, and auditable deployments Hands-on experience building and maintaining pipelines in GitHub Actions, GitLab Pipelines, Jenkins, or AWS CodePipeline to enable automated, zero-downtime releases and fast iteration Expierence in software development and scripting using Python, TypeScript, Go, or Bash Containerization & Orchestration: practical experience with Docker and orchestration via Kubernetes, Amazon ECS, or EKS to support scalable microservices architectures Security, Compliance & Networking: you implement IAM policies, encryption, access control, and design secure, high-availability network architectures using VPC, Transit Gateway, Route 53 , and hybrid connectivity solutions Experience with Amazon CloudWatch, Prometheus, Grafana, and ELK/EFK to enable proactive monitoring, alerting, and incident response Client-facing mindset - you can act as a trusted advisor to enterprise clients, translating business goals into scalable cloud-native solutions; you enjoy supporting cloud adoption, modernization, and digital transformation initiatives, and you're comfortable contributing to pre-sales and solutioning work alongside sales teams AWS Certifications - you already hold and actively pursue relevant AWS certifications (e.g., Solutions Architect, DevOps Engineer, Advanced Networking) that back up your hands-on expertise Fluency in both English and Polish , written and spoken Benefits: Continuous learning and growth – we invest in your development through internal training, knowledge-sharing sessions, and hands-on learning from real projects. We also support growth beyond the organization by actively engaging in the AWS Community, including conference talks and industry events. Training budget – dedicated funds to support certifications, courses, and professional development aligned with your career goals. Medical care package – comprehensive private healthcare to help you stay healthy and focused. Multisport card co-financing – because staying active matters, both in and outside of work. Language learning platform access – improve your language skills at your own pace, whenever it suits you. Flexible working hours & remote work – work when and where you’re most productive. Company events – time for integration and some fun. Stay up to date with us: Follow our blog regularly and participate in the events we organize.

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

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

🏢 Summary: 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 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 DevOps Engineer role supporting large-scale, low-latency trading systems for a North American bank. The position involves building, automating, and maintaining infrastructure across hundreds of servers and modernizing DevOps tooling in a fully remote, long-term engagement. The engineer will work on high-performance production systems used in real-time financial markets. 🗂️ Requirements: 6+ years of DevOps experience, Experience with multiple Linux distributions, Experience with at least one cloud environment, Experience managing 400+ servers using infrastructure automation tools, Proficiency in Python, Proficiency in Bash, Experience deploying and managing AWS-based systems, Experience supporting low-latency trading or capital markets systems, Experience with bare metal container orchestration, Strong knowledge of Linux system lifecycle, Ability to build and maintain observability systems, Advanced troubleshooting in live Linux environments, Ability to work US Eastern business hours, Eligibility to work and reside in Poland 📃 Skills: Linux, AWS, Python, Bash, Puppet, Ansible, Terraform, CloudFormation, Kubernetes, Docker, Icinga, Nagios, Observability, Automation 🏢 Description: Are you an experienced DevOps engineer who enjoys building and managing infrastructure in the cloud? Do you love working with smart people in interesting and useful domains? Want to work on large systems that power real-time trading across global markets? If so, read on. The Role at a Glance Senior Cloud Infrastructure Engineer Fully remote for a top North American bank (based in Poland only) 220-250 zł/hr B2B net + VAT Partial overlap with US Eastern business hours We’re hiring experienced DevOps engineers (6+ years) to join the IT infrastructure team at a top North American bank — directly supporting the development of financial trading systems . You’ll be part of the core IT infrastructure team , building and maintaining infrastructure in AWS for trading systems used across the firm. Why Join Us? Collaborate with a world-class team of DevOps engineers and developers across North America and Europe. Enjoy a long-term, fully remote role . Competitive compensation and long term stability that only a bank can offer. A successful candidate will be a passionate DevOps engineer who prioritizes automation, can code their own tools, and understands the value of observability. They will have experience maintaining configuration at scale of over 100 servers.  They must also be curious, open-minded, and desire to learn new things. English proficiency is a must. This is a fully remote DevOps role for an engineer in Poland . You will be working exclusively and directly with the bank through a Polish company, that will provide the support and administrative assistance to make you successful in the role. We are looking for people to join the team long-term. This role requires a 6-hour overlap with US Eastern business hours during the onboarding period and a 3-4 hour flexible overlap afterwards. Only open to residents of Poland. Polish citizens, as well as legal residents with permission to work in Poland are welcome. Successful candidates will need to pass a standard background check. What we offer Work that matters in the financial domain: Work on a trading system at an established financial institution, processing millions of transactions daily. Professional growth: Collaborate with smart, highly capable developers in a supportive and challenging environment. Direct collaboration : You will work directly with the bank’s team in North America and in Poland. 1st-tier work : This is not a technical support or legacy maintenance role. The system is functional and is actively being built and you will take part in updating it. The people who built the system are still part of the team. Long-term commitment: This is not a fixed-scope or fixed-term outsourcing role; we value people who want to grow and contribute long-term. Fully remote work: Fully remote position based in Poland. Competitive Compensation: Above-average pay and ample time-off options. Responsibilities Own one or more technology domains end-to-end such as the AWS multi-account landing zone (Control Tower, SCPs, Organizations, IAM Identity Center), EKS greenfield buildout (service mesh, GitOps/ArgoCD, Karpenter), CI/CD pipeline architecture, or AI/ML infrastructure (Bedrock, GPU workloads, MLOps). Lead platform buildouts from design through production. Architect, implement, and operate the systems your domain covers, making and documenting architecture decisions within your scope. Author and enforce IaC standards. Write production-grade Terraform/Terragrunt modules and establish patterns the entire team adopts. Design and implement CI/CD pipelines for infrastructure and application workloads using Jenkins on ECS and GitOps workflows. Understand and troubleshoot hybrid connectivity across co-location facilities, AWS Transit Gateway, Direct Connect, and cross-region networking; partner with the Networks team to resolve issues and implement changes. Mentor two Mid-level Engineers (L3). Review code and designs, pair on complex problems, drive their technical growth. Collaborate with the Governance and Security SME on security posture, vulnerability remediation prioritization, and regulatory compliance. Participate in on-call as a senior escalation point for production infrastructure incidents. Leverage AI-assisted developer tooling to accelerate delivery and reduce operational toil across the team. Requirements Must have 6+ years building and operating production infrastructure on AWS. Deep expertise in at least one of: AWS multi-account architecture (Control Tower, SCPs, Organizations, TGW) or Kubernetes at scale (EKS, service mesh, GitOps/ArgoCD, Karpenter). Terraform and Terragrunt proficiency. You create the modules, not just consume them. CI/CD pipeline design and maintenance (Jenkins, GitHub Actions, or equivalent). Linux systems administration (Amazon Linux, RHEL, or equivalent). Python and Bash scripting for automation. Experience mentoring engineers through code reviews, design reviews, and pairing. Ability to take ambiguous problems, ask the right questions, and deliver without hand-holding. Ability to follow and understand technical conversations. Ability to work during US Eastern business hours: 6-hour overlap during the onboarding period and a 3-4 hour flexible overlap afterwards. Nice to have Financial services, trading technology, or regulated industry experience. Experience with Microsoft Entra ID (Azure AD) and enterprise application management, SAML/SSO configuration, and AWS IAM Identity Center integration. Hybrid cloud connectivity troubleshooting (Direct Connect, Transit Gateway, co-location to AWS). Privileged access management (CyberArk or equivalent). Cloud security tooling (Wiz, Qualys, CrowdStrike). AI/ML infrastructure such as Bedrock, SageMaker, GPU instance management, and MLOps pipelines. AWS certifications (Solutions Architect Professional, Advanced Networking, Security Specialty). Interview process Submit your CV. Answer a few written questions and a short programming exercise which you can do at your own pace. Participate in an online three-stage interview process Successful candidates will need to pass a standard background check.

🏢 Summary: End-to-end software engineering role focused on building and shipping high-quality product features across frontend and backend in a fast-moving, autonomous team. The position emphasizes pixel-perfect UI/UX, strong architectural thinking, and full ownership from design to deployment. Engineers operate with high trust and direct impact on a learning and research-focused product. 🗂️ Requirements: Expert-level software engineering experience, Strong proficiency in TypeScript, Experience with SvelteKit for frontend development, Experience with Node.js for backend development, Experience with Fastify, Experience with PostgreSQL, Experience with DDD patterns, Experience with CQRS patterns, Experience with Playwright for testing, Ability to build pixel-perfect UI implementations, Ability to design and ship end-to-end features across frontend and backend, Experience working with queues, Basic proficiency in Python for ML components 📃 Skills: TypeScript, SvelteKit, Tailwind, DaisyUI, Playwright, Node.js, Fastify, PostgreSQL, Python, DDD, CQRS, Queues 🏢 Description: ABOUT THE ROLE We're looking for an expert software engineer with an exceptional eye for UI/UX to join a small, high-trust engineering team. You'll own features end-to-end — from pixel-perfect frontend work to shipping backend functionality when needed. This is not a siloed role. You'll move fast, make real decisions, and have direct impact on a product used by people who care deeply about learning and research. We don't have managers. We have engineers who own their work. TECH STACK The stack is heavily TypeScript. On the frontend: SvelteKit, Tailwind, DaisyUI, and Playwright, with DDD and CQRS patterns. On the backend: Node.js, Fastify, PostgreSQL, and queues. ML components are in Python. The stack is pragmatic, not dogmatic — tools may shift as the product evolves. WHAT WE LOOK FOR Elite communication You set accurate expectations and live up to them. No surprises, no ambiguity about status or blockers. Deep resilience Bugs, crises, tough reviews — you have a large buffer before stress impacts your output. You don't crack under pressure. No ego We're here to build something great, not to manage insecurities. The best idea wins, regardless of who had it. Product mastery You understand the engineering principles behind the best software ever made — and care deeply about the difference between good and great. Independent and obsessive by nature You go deep on everything you touch. You're a lifelong learner who can't help but care about quality. Being an ex-founder is a bonus. ENGINEERING CULTURE Optional code reviews We trust you. Merge when you're ready. Ask for a second pair of eyes when you want one. Radical autonomy We don't second-guess your decisions. You own the call. High-bandwidth collaboration Constant communication means everyone has context without formal gates or status meetings. Direct feedback Code reviews are blunt, concise, and respectful. We say what we mean. Ruthless efficiency We aggressively adopt any tool — AI included — that increases speed and leverage. Limited frontend test coverage Supplemented by strong architecture and top talent, not bureaucratic QA processes. RECRUITMENT PROCESS Recruiter screening — a short intro call to align on basics. 1-on-1 with the engineering lead — a conversation about how you think and work. Technical challenge (~4 hours) — use AI, Google, or any resource you need. We care about the result, not the method. One-month paid contract — with the possibility to extend indefinitely. Honest, frequent feedback throughout so you always know where you stand. COMPENSATION & BENEFITS Salary $100,000 – $150,000 depending on experience. Equity and profit share Core team members receive both equity and profit share as part of the compensation package. Unlimited PTO Use your own judgement — we won't count days. Steep learning curve You'll grow faster here than almost anywhere else — by design, not accident. Real ownership No managers capping your authority. You own your work end-to-end, with the full trust of the team behind you.

🏢 Summary: Senior Software Engineer role focused on owning complex, cross-functional initiatives across the full stack, from architecture to production. The position emphasizes AI-first engineering practices, leveraging AI agents for planning, code generation, and review while maintaining accountability for production outcomes. You will design scalable systems, lead technical initiatives, and mentor engineers while working with modern cloud and web technologies. 🗂️ Requirements: 5+ years of experience building web applications, backend services, and APIs, Strong experience with PHP and Laravel, Experience designing and implementing full-stack features (backend, APIs, frontend), Ability to design system architecture and evaluate technical trade-offs, Experience leading technical initiatives, Experience mentoring junior engineers, Experience working with AI coding agents in development workflows, Experience monitoring and owning production systems 📃 Skills: PHP, Laravel, Vue.js, MySQL, DynamoDB, Kubernetes, AWS, Serverless, APIs, Lambdas, AI, Claude, Cursor 🏢 Description: About the Role: Loop is looking for a Senior Software Engineer to take meaningful ownership of complex, cross-functional work, from architecture and design through production. You'll build scalable solutions, influence technical direction, and make the engineers around you better. AI at Loop Engineering: Engineering at Loop is AI-first, not aspirationally, but operationally. Every engineer is provisioned with Claude Code and Cursor, and we expect AI agents to be your default starting point before you open a file. The role has shifted: you are not primarily a writer of code. You are the judgment layer, the person who determines what should be built, validates that what was built is correct, and owns the outcome in production. At the senior level, that judgment extends beyond your own work to the systems, standards, and people around you. You're not just using AI well — you're helping your team develop the habits and instincts to use it well too. Our Blended Work Environment: We work from our HQ in Columbus, OH, and are distributed throughout the United States, select Canadian provinces, United Kingdom, and Australia. For this position, we're open to Columbus, OH; Boston, MA; Chicago, IL; Austin, TX; Los Angeles, CA; or fully remote. Our Tech Stack: PHP/Laravel, Vue.js, MySQL, DynamoDB, Kubernetes, AWS, Serverless. Our hiring process is tech-stack agnostic. What You'll Do: - Design and implement complex, high-quality features across the full stack: backend services, APIs, lambdas, and frontend. Translate ambiguous requirements into clear technical designs and own the trade-offs. - Start with the agent, not the editor. Invest time in planning and intent articulation. The quality of your prompt is the quality of your output. - Review AI-generated code with the same rigor you'd apply to any code. Plausible is not the same as correct. At this level, you're also setting the standard for how your team does this. - Set the standard for AI-assisted code review on your team. Model what good verification looks like, not just for your own PRs, but in how you give feedback on others' AI-generated work. - Lead small to medium-sized technical initiatives: provide direction, surface dependencies early, and keep stakeholders informed without being asked. - Mentor and develop more junior engineers through code review, pairing, and direct feedback. Making the people around you better is part of the job, not a bonus. - Make reversible decisions fast and flag the irreversible ones early. Operational trust means others can plan around your delivery. - Make the system around you more effective, not just your own output. Propose improvements to code quality, processes, and team norms, and follow through on them. Your Experience: - 5+ years building web applications, backend services, and APIs. Strong PHP/Laravel experience preferred. - You use AI agents as your default starting point and can describe your actual workflow: how you plan, prompt, evaluate output, and decide where to spend your review time. You own what ships, regardless of how it was generated. - You have a point of view on where AI helps and where it gets engineers into trouble, and you actively help your team navigate that line. - You track how your code behaves in production, not because someone asks you to, but because you own the outcome. You've caught regressions before support tickets did. - You can evaluate architectural trade-offs and make defensible decisions, not just implement what you're handed. - You have examples of leading technical initiatives, mentoring engineers, and driving cross-functional alignment. - You operate with intensity and hold a high bar for your own work and for the people around you. You give direct feedback, ask for help early, and respond to setbacks with ownership rather than withdrawal. - You've worked closely with product managers and design teams, and you've had the hard conversations with peers, stakeholders, or leaders, with directness and care.

🏢 Summary: Python AI Engineering role focused on building production-grade GenAI, RAG, and agentic systems for client engagements. The position involves end-to-end ownership of AI solutions, including architecture, delivery, evaluation, and client communication in a fast-paced consulting environment. Candidates will work with scalable APIs, LLM pipelines, and cloud AI services while ensuring quality, observability, and performance. 🗂️ Requirements: 5+ years commercial Python experience, 3+ years hands-on GenAI/LLM engineering, Experience building scalable services and APIs, Experience with FastAPI, Flask, or Django, Experience writing test suites with pytest, Experience building RAG pipelines, Knowledge of embeddings and vector search, Experience with agentic workflows and tool-calling, Strong prompt engineering skills, Experience with structured outputs and JSON schemas, Experience with Pydantic or equivalent, Experience with AWS, Azure, or GCP, Understanding of managed AI/ML services, Ability to evaluate relevance, latency, consistency, and cost, High-proficiency written and spoken English 📃 Skills: Python, GenAI, LLM, FastAPI, Flask, Django, pytest, RAG, Embeddings, VectorSearch, ToolCalling, PromptEngineering, JSON, Pydantic, Instructor, AWS, Azure, GCP, Bedrock, OpenAI, LangGraph, LangSmith, LlamaIndex, Pinecone, Weaviate, Milvus, pgvector 🏢 Description: We're growing our Python AI Engineering team - the group that builds GenAI systems clients actually run, not proof-of-concepts that die after the demo. Expect real agentic/RAG systems, real users, and evaluation data that tells you whether what you built actually works. Depending on fit and timing, you'll be matched to one of several active or upcoming client engagements - each with its own domain, constraints, and stack, but the same bar for engineering quality. You are a good fit for the role if... You default to shipping, not just designing - a proactive, "getting things done" attitude in a fast-paced, client-facing setup where the interesting problems rarely come pre-scoped in a ticket. You own the AI lifecycle end to end - ideation, architecture, delivery, evaluation - and you're comfortable being the technical voice in the room: proposing the approach, defending it with data (evals, latency, cost), and adjusting it when the data says you're wrong. You can translate engineering constraints into terms a client stakeholder acts on - not just "this won't scale" but why, what the tradeoff actually costs them, and what a workable alternative looks like. Good technical judgment shows up as much in how you explain a constraint as in identifying it. You treat client pushback as a design input, not an obstacle - sometimes it reveals a real business constraint you were missing, sometimes it's a shortcut worth resisting. Telling those two cases apart, and being able to argue either side with evidence, is the actual skill. Our expectations 5+ years commercial Python experience, including 3+ years of hands-on GenAI/LLM engineering. Solid engineering fundamentals: building scalable services/APIs (FastAPI, Flask, or Django), writing real test suites (pytest), clean and modular architecture. Hands-on experience building RAG pipelines - retrieval, embeddings, vector search. Working knowledge of agentic patterns: tool-calling, function-calling, multi-step reasoning workflows. Strong prompt engineering skills, including structured outputs (JSON schemas, Pydantic, Instructor or equivalent). Experience with at least one major cloud platform (AWS, Azure, or GCP), including its managed AI/ML services (e.g., Bedrock, Azure OpenAI). An "evals mindset" - you think about relevance, consistency, latency, and cost as real engineering concerns, not afterthoughts. High-proficiency written and spoken English - you'll use it daily with clients and teammates. Welcome Skills Experience with orchestration frameworks beyond the basics - LangGraph, LangSmith, LlamaIndex. Hands-on with a specific vector database (Pinecone, Weaviate, Milvus, pgvector) beyond "I integrated one once." Experience building evaluation frameworks or golden-dataset pipelines specifically (as opposed to just using one). Exposure to data pipeline work feeding AI systems - understanding how data quality/freshness affects model behavior. Prior client-facing / consulting experience in a professional-services or consulting setup. Key tasks Design and build Python services and APIs that wrap LLM-powered functionality. Build and maintain agentic and RAG pipelines: retrieval, reranking, tool-calling, multi-step reasoning, structured outputs. Care about quality beyond "it works" - evals, observability, and the data that tells you when something regresses. Work directly with clients: translate fuzzy business requirements into architecture decisions, and explain your technical tradeoffs to non-technical stakeholders. Work across a distributed, multi-market team and client organizations.