Software Engineer, Full-Stack

🏢 Summary: Full-stack Software Engineer role focused on designing, building, and maintaining scalable web applications, APIs, and backend services in an AI-first engineering environment. The position emphasizes ownership of AI-assisted development, rigorous code review, test coverage, and reliable CI/CD practices. Engineers collaborate cross-functionally and are accountable for production outcomes across the product lifecycle. 🗂️ Requirements: 2–4+ years experience building web applications, backend services, or APIs, Hands-on experience using AI agents in software development workflows, Ability to review and validate AI-generated code, Experience working in agile and CI/CD environments, Commitment to writing well-tested, reliable software, Strong ownership of production outcomes 📃 Skills: PHP, Laravel, Vue.js, MySQL, DynamoDB, Kubernetes, AWS, Serverless, APIs, CI/CD 🏢 Description: About the Role: Loop is looking for a full-stack Software Engineer to contribute directly to the design, development, and maintenance of core products. You'll build scalable solutions, uphold technical excellence, and be a reliable partner to the engineers around you. AI at Loop Engineering Engineering is AI-first; not aspirationally, but operationally. Every engineer is provisioned with Claude Code and Cursor, and AI agents are the default starting point before opening a file. The role has shifted: you are not primarily a writer of code. You are the judgment layer, determining what should be built, validating that what was built is correct, and owning the outcome in production. AI handles a growing share of implementation, and you own everything that surrounds it. Our Tech Stack: PHP/Laravel, Vue.js, MySQL, DynamoDB, Kubernetes, AWS, Serverless. The hiring process is tech-stack agnostic. What You'll Do - Design, build, and maintain web applications, APIs, backend services, and lambdas for the product line - Start with the agent, not the editor; invest time in planning and intent articulation - Review AI-generated code with rigor and ensure correctness - Include meaningful test coverage in every PR and contribute to a healthy CI/CD process - Collaborate closely with engineers, product managers, and designers - Exhibit ownership: ensure features are stable in production, flag risks early, and make reversible decisions fast - Improve system effectiveness beyond immediate scope, including code review quality and cross-team visibility Your Experience - 2–4+ years building web applications, backend services, or APIs - Use AI agents as a default starting point and articulate your workflow for planning, prompting, and reviewing - Experience identifying and correcting issues in AI-generated code - Clear perspective on where AI adds value and where it introduces risk - Experience with PHP/Laravel, AWS Serverless, or Vue.js is a strong plus - Experience working in agile, CI/CD environments - Commitment to building well-tested, reliable software - Ability to learn from mistakes, seek feedback, and grow through iteration

🏢 Summary: Full Stack Engineer role building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and enterprise systems. The position involves end-to-end development across frontend, backend, and databases, with strong ownership and direct customer impact. Candidates will work in a fast-paced seed-stage environment with high accountability and real-world deployment exposure. 🗂️ Requirements: Experience shipping production software end-to-end, Strong proficiency in TypeScript, Strong proficiency in JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL databases, Experience designing database schemas and data models, Understanding of testing, documentation, and code review best practices, Ability to work in fast-moving, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing, Documentation, CodeReview 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.

🏢 Summary: Full Stack Engineer role focused on building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and ERP systems. The position involves end-to-end development across frontend, backend, and databases, delivering customer-driven features in high-stakes environments. Engineers take ownership of production systems, ensuring scalability, reliability, and code quality. 🗂️ Requirements: Proven experience shipping production software end-to-end, Strong proficiency in TypeScript and JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL and database design, Experience with PostgreSQL, Ability to integrate with legacy and external enterprise systems, Understanding of testing, code reviews, and documentation practices, Ability to work in fast-paced, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.

🏢 Summary: Role focused on owning and expanding automated test suites for Android and iOS SDKs within a high-scale mobile advertising platform. The position involves building mobile UI automation, integrating tests into CI/CD pipelines, and ensuring reliable test execution across real devices and environments. You will work closely with the Mobile SDK team to improve test coverage, stability, and deployment confidence. 🗂️ Requirements: 4+ years in automation engineering or 2+ years as SDET or developer, Strong JavaScript for test automation, Proficiency in Bash and Shell scripting, Experience with GitHub Actions for CI/CD, Experience with BrowserStack or similar real-device cloud platform, Proficiency with Maestro for mobile UI automation, Experience with Allure Reports, Experience with JIRA, Experience building automated test suites for Android and iOS 📃 Skills: JavaScript, Bash, Shell, GitHub, Actions, BrowserStack, Maestro, Allure, JIRA, Android, iOS, Firebase, Rust, TypeScript 🏢 Description: About LoopMe LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale. We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant. The opportunity You'll own test automation for LoopMe's Android and iOS SDKs, building and maintaining the suites that determine how fast and confidently we ship. Working alongside our existing automation engineer, you'll integrate deeply with the CI/CD pipeline using GitHub Actions, BrowserStack, and Maestro, and extend coverage as new SDK projects come into scope. This role sits within the Mobile SDK engineering team. What you'll do Build and maintain automated test suites for Android and iOS SDKs using JavaScript, Rust, and Bash/Shell scripting Develop mobile UI automation using Maestro across Android and iOS SDK projects Integrate automated tests into GitHub Actions CI/CD workflows for nightly smoke, regression, and Adapter Certification runs Own test execution and monitoring via BrowserStack App Automate, debugging environment-specific failures across devices and infrastructure Manage and publish test results through Allure Reports, surfacing findings to developers via JIRA and Slack Drive down nightly test run time by parallelising suites across multiple GitHub Actions runners Manage test builds via Firebase App Distribution for Android and iOS Leverage AI tools, including Claude, to accelerate test development and improve coverage and resilience What you'll bring Essential: 4+ years in automation engineering, or 2+ years as an SDET or developer Strong JavaScript skills applied to test automation Proficiency in Bash and Shell scripting, and GitHub Actions for CI/CD integration Experience with BrowserStack or a comparable real-device cloud platform Proficiency with Maestro for mobile UI automation, Allure Reports, and JIRA Nice to have: TypeScript familiarity TestRail or an equivalent test management system Charles Proxy for network traffic analysis Experience with AI-assisted test generation or self-healing frameworks Rust programming experience Adtech or programmatic advertising domain knowledge What we offer Hybrid working — flexible schedule 1 month of work-from-anywhere Annual performance bonus Multikafeteria (sport/culture card) LoopMe Gives Back Learning & development support

🏢 Summary: Remote Software Engineer role focused on building AI-powered data products and backend services for the logistics domain. The position involves integrating AI/ML models into production, developing AI-driven features such as chatbots and recommendation engines, and orchestrating AI pipelines. You will work with TypeScript/JavaScript, Node.js, and Python to deliver scalable, intelligent solutions. 🗂️ Requirements: 3–4 years of experience with TypeScript/JavaScript, Proven commercial experience with Node.js, Professional experience with Python, Hands-on experience integrating AI/ML models into production systems, Experience building backend services consuming AI outputs, Experience orchestrating AI pipelines, Experience designing chatbots or recommendation engines, Experience integrating LLMs into applications, Upper-Intermediate English level 📃 Skills: TypeScript, JavaScript, Node.js, Python, AI, ML, LLMs, React, Backend, APIs, Chatbots, Recommendation, Pipelines 🏢 Description: Are you passionate about building intelligent systems that transform industries? We are looking for a Software Engineer to join our team and work on cutting-edge AI-powered solutions in the logistics domain. This is a remote position, offering flexibility and the opportunity to collaborate with international teams. We at Sigma Software value innovation, quality, and teamwork, and provide our specialists with challenging projects and professional growth opportunities. Why join us? You will work on impactful AI-driven products, gain exposure to advanced technologies, and be part of a company that supports continuous learning and career development. Customer Our customer is one of Europe’s leading logistics providers, headquartered in Germany. They specialize in developing and implementing integrated supply chain systems, leveraging advanced data analytics to optimize logistics operations. Recognized for innovation and efficiency, they deliver solutions that enhance operational performance across diverse industries. Project The project focuses on developing advanced data products, including an AI assistant capable of performing analysis and providing insights based on user queries. The team is also building tools to support the client’s internal processes, integrating AI/ML models into production systems, and designing AI-powered features such as chatbots and recommendation engines. Requirements 3–4 years of development experience with TypeScript/JavaScript technology stack Proven experience with Node.js Experience with Python Hands-on experience integrating AI/ML models into production systems Experience building backend services that consume AI outputs and orchestrate AI pipelines Experience designing AI-powered features such as chatbots or recommendation engines Familiarity with integrating LLMs into applications Strong communication and multitasking skills Strong problem-solving and decision-making abilities with a focus on results Upper-Intermediate level of English WILL BE A PLUS: Experience with React Personal Profile Motivated, self-driven, and positive individual Strong communication skills Ability to multitask and manage priorities effectively Skilled in solving complex problems under tight deadlines Passionate about leveraging technology to deliver impactful results Responsibilities Design, develop, and maintain backend services using TypeScript/JavaScript and Node.js Integrate AI/ML models into production environments to support business processes Build and orchestrate AI pipelines that consume model outputs and deliver actionable insights Develop AI-powered features such as chatbots and recommendation engines Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into applications Participate in architectural discussions and contribute to solution design Ensure high-quality code through testing, reviews, and adherence to best practices Communicate effectively with stakeholders and team members to align on requirements and deliverables

🏢 Summary: Frontend-leaning Fullstack Engineer role focused on building and owning end-to-end SaaS features using modern frontend frameworks, scalable backend services, and AI-driven automation tools. The position combines React/Next.js development with Node.js backend work, async systems, and production AI integrations. Strong emphasis on speed, ownership, and delivering reliable, high-scale systems. 🗂️ Requirements: 3+ years professional full-stack development experience, Strong proficiency in React.js and Next.js, Solid backend experience with Node.js (NestJS preferred), Experience integrating external APIs (authentication, pagination, retries, rate limits), Experience with asynchronous processing, queues, and background jobs, Hands-on experience with AI tools (OpenAI, Claude, Cursor), Strong SQL skills (PostgreSQL preferred), Experience building reliable systems (error handling, retries, observability), Fluent English and Polish 📃 Skills: React, Next.js, Node.js, NestJS, JavaScript, TypeScript, PostgreSQL, SQL, REST, WebSockets, gRPC, Kafka, BullMQ, LavinMQ, AWS, GCP, DigitalOcean, Fly.io, GitLab, OpenAI, Claude, Cursor, Golang, Elixir, Rust, BigQuery, ClickHouse 🏢 Description: At Web Impact, we’re more than just an email marketing agency and digital solutions provider. We build cutting-edge, socially impactful products that redefine how businesses operate in the digital world. We’re looking for a frontend-leaning Fullstack Engineer who enjoys building complex systems, integrating external services, and leveraging AI tools to speed up development and automate workflows. If you’re excited about combining modern frontend development with AI-driven workflows and automation tools like Claude Code, Cursor, and LLM frameworks , this one is for you. What You’ll Do Own and deliver end-to-end features across SaaS products and internal tools Build modern, high-performance frontends using Next.js and React.js Develop scalable backend services using Node.js / NestJS Design and integrate APIs (REST, WebSockets, external services) Build and maintain automation workflows and background jobs Work with async systems, queues, and event-driven architectures Integrate third-party services with real-world constraints (rate limits, retries, auth flows) Use AI tools to improve development speed, testing, and automation Collaborate directly with product, data, and leadership teams AI & Automation This role includes working with modern AI tooling and automation systems, with a strong focus on speed, ownership, and execution : Using tools like Claude Code, Cursor, and OpenAI SDK in daily development Building AI-driven workflows and integrations quickly and iteratively Automating repetitive processes (data handling, content, integrations) Applying LLMs in production with a pragmatic, results-first approach Taking full ownership of problems - from idea to production Shipping fast, testing in real conditions, and iterating based on outcomes Being accountable for delivery - not just writing code, but making things work end-to-end Prioritizing execution over perfection - speed is key What We’re Looking For 3+ years of professional full-stack experience Strong frontend skills in React.js / Next.js Solid backend experience with Node.js (NestJS preferred) Experience integrating external APIs (auth, pagination, retries, rate limits) Experience working with async processing, queues, and background jobs Hands-on experience with modern AI tools (OpenAI, Claude, Cursor, etc.) Good SQL skills (PostgreSQL preferred) Understanding of building reliable systems (error handling, retries, observability) Strong communication skills and ability to work cross-functionally Fluent in English and Polish Nice to Have Experience with Rust (async, Tokio, Axum) Experience with Elixir (Phoenix LiveView, GenServer) Understanding of distributed systems and architectures Experience with multi-region deployments and geo-distributed infrastructure Experience building systems with high parallelism (a large number of workers processing jobs concurrently) Familiarity with distributed databases and data consistency trade-offs Experience with multi-tenancy architectures (tenant isolation, scaling strategies) Experience working with high-throughput event pipelines Our Tech Stack Frontend: Next.js, React.js Backend: Node.js, NestJS, Golang, Elixir, Rust Data: PostgreSQL, BigQuery, ClickHouse Infra: AWS, Fly.io , Google Cloud, DigitalOcean Queues & Workers: LavinMQ, BullMQ, Kafka CI/CD: GitLab CI AI/ML & Automation: Proprietary GenAI models, OpenAI, Claude, internal tooling Integrations: REST, gRPC, WebSockets, external APIs with rate limits Why Join Us? Work on high-scale SaaS systems processing hundreds of millions of events daily , with real-time pipelines and data-heavy workloads. Ownership from day one - influence architecture, technology choices, and product direction. Collaborate with world-class engineers, AI specialists, and PMs. Innovation-first culture - explore cutting-edge frameworks and architectures. Fast execution, minimal bureaucracy, no unnecessary meetings Opportunity to work with modern AI tooling in production Competitive senior-level compensation and career growth. Social impact - contribute to automation products that empower businesses and communities. Our Streamlined Hiring Process Initial call Technical deep dive with our team Decision

🏢 Summary: Frontend-leaning Fullstack Engineer role building high-scale SaaS systems with modern React/Next.js frontends and Node.js/NestJS backends, heavily leveraging AI tools and automation. You will design APIs, async systems, and event-driven architectures, integrate external services, and ship MVPs to production with ownership and speed. The role emphasizes AI-driven workflows, rapid experimentation, and scalable, production-ready systems. 🗂️ Requirements: 2.5+ years professional full-stack experience, Strong React.js and Next.js skills, Backend experience with Node.js (NestJS preferred), Experience integrating external APIs (auth, pagination, retries, rate limits), Hands-on experience with modern AI tools (OpenAI, Claude, Cursor), Strong SQL skills (PostgreSQL preferred), Experience with async processing, queues, background jobs, Understanding of reliable systems (error handling, retries, observability), Fluent English and Polish 📃 Skills: React, Next.js, Node.js, NestJS, SQL, PostgreSQL, REST, WebSockets, OpenAI, Claude, Cursor, LavinMQ, BullMQ, Kafka, AWS, GCP, Fly.io, DigitalOcean, BigQuery, ClickHouse, Golang, Elixir, Rust, gRPC, GitLabCI 🏢 Description: What You’ll Do Develop and contribute to end-to-end features across SaaS products and internal tools, collaborating with senior engineers on architecture and implementation decisions. Build modern, high-performance frontends using Next.js and React.js. Develop scalable backend services using Node.js / NestJS. Design and integrate APIs (REST, WebSockets, external services). Build and maintain automation workflows and background jobs. Work with async systems, queues, and event-driven architectures. Integrate third-party services with real-world constraints (rate limits, retries, auth flows). Use AI tools to improve development speed, testing, and automation. Collaborate directly with product, data, and leadership teams. Build MVPs, proof-of-concepts, and new product ideas from scratch. Rapidly validate business ideas through experimentation and iteration. Help evolve successful prototypes into production-ready systems. AI & Automation This role includes working with modern AI tooling and automation systems, with a strong focus on speed, ownership, and execution: Using tools like Claude Code, Cursor, and OpenAI SDK in daily development. Building AI-driven workflows and integrations quickly and iteratively. Automating repetitive processes (data handling, content, integrations). Applying LLMs in production with a pragmatic, results-first approach. Taking ownership of problems from idea to production. Shipping fast, testing in real conditions, and iterating based on outcomes. Being accountable for delivery, making things work end-to-end. Prioritizing execution over perfection. What We’re Looking For 2.5+ years of professional full-stack experience. Strong frontend skills in React.js / Next.js. Backend experience with Node.js (NestJS preferred). Experience integrating external APIs (auth, pagination, retries, rate limits). Hands-on experience with modern AI tools (OpenAI, Claude, Cursor, etc.). Good SQL skills (PostgreSQL preferred). Experience working with async processing, queues, and background jobs. Understanding of building reliable systems (error handling, retries, observability). Strong communication skills and ability to work cross-functionally. Fluent in English and Polish. Nice to Have Experience with Rust (async, Tokio, Axum). Experience with Elixir (Phoenix LiveView, GenServer). Understanding of distributed systems and architectures. Experience with multi-region deployments and geo-distributed infrastructure. Experience building systems with high parallelism (large number of workers processing jobs concurrently). Familiarity with distributed databases and data consistency trade-offs. Experience with multi-tenancy architectures (tenant isolation, scaling strategies). Experience working with high-throughput event pipelines. Our Tech Stack Frontend: Next.js, React.js. Backend: Node.js, NestJS, Golang, Elixir, Rust. Data: PostgreSQL, BigQuery, ClickHouse. Infra: AWS, Fly.io, Google Cloud, DigitalOcean. Queues & Workers: LavinMQ, BullMQ, Kafka. CI/CD: GitLab CI. AI/ML & Automation: Proprietary GenAI models, OpenAI, Claude, internal tooling. Integrations: REST, gRPC, WebSockets, external APIs with rate limits. Why Join Us? Work on high-scale SaaS systems processing hundreds of millions of events daily, with real-time pipelines and data-heavy workloads. Ownership from day one – influence architecture, technology choices, and product direction. Collaborate with experienced engineers, AI specialists, and product managers. Innovation-focused culture exploring modern frameworks and architectures. Fast execution environment with minimal bureaucracy. Opportunity to work with modern AI tooling in production. Competitive senior-level compensation and career growth. Contribute to automation products that empower businesses and communities.

🏢 Summary: Role focused on manual and exploratory testing of Android and iOS SDKs within a high-scale adtech platform, ensuring quality from feature definition through release. The position involves defining test strategies, executing regression and smoke tests, validating multi-device builds, and collaborating closely with developers and automation engineers. It contributes directly to quality standards across a growing mobile SDK portfolio. 🗂️ Requirements: 2+ years in QA or mobile testing, Experience testing Android applications, Experience testing iOS applications, Proficiency with TestRail or similar test management system, Proficiency with JIRA for bug tracking, Understanding of API testing concepts, Experience in Agile/Scrum environments, Experience with network traffic analysis tools 📃 Skills: Android, iOS, TestRail, JIRA, API, Agile, Scrum, Charles, BrowserStack, Maestro, Rust, JavaScript 🏢 Description: About LoopMe LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale. We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant. The opportunity You'll own manual and exploratory testing across LoopMe's Android and iOS SDKs, playing a key role in quality decisions from feature definition through to release. Working closely with developers, automation engineers, and product managers, you'll define test strategies for new features and help shape how quality is approached as our SDK portfolio grows. This role sits within the Mobile SDK Quality team. What you'll do Design, write, and execute manual test plans and test cases for Android and iOS SDK releases and new feature work Own exploratory, regression, and smoke testing across nightly builds and release candidates Validate Adapter Certification builds across multiple OS versions and device configurations Log, triage, and track defects in JIRA with clear reproduction steps and supporting evidence Manage and maintain test cases in TestRail, keeping coverage current across all SDK projects Partner with the automation team to identify high-value candidates for automated test coverage Participate in sprint ceremonies and contribute to quality sign-off decisions Advocate for quality best practices and drive process improvements as the team scales What you'll bring Essential: 2+ years in a QA or mobile testing role Experience testing Android and iOS applications Proficiency with TestRail or a comparable test management system, and JIRA for bug tracking and sprint management Solid understanding of API testing concepts Experience working within Agile/Scrum teams, including use of Charles Proxy or a similar tool for network traffic analysis Nice to have: Familiarity with BrowserStack or a similar real-device cloud platform Experience with Maestro for mobile UI testing Knowledge of AI tools, including Claude Basic scripting ability in Rust or JavaScript Adtech or programmatic advertising domain knowledge What we offer Hybrid working — flexible schedule 1 month work-from-anywhere Annual performance bonus Multikafeteria (sport/culture card) LoopMe Gives Back Learning & development support

🏢 Summary: The offer is for a Java Backend Engineer to build and scale a high-load Data Management Platform processing billions of events daily in a real-time ad tech environment. The role focuses on developing and optimizing distributed data pipelines, microservices, and database schemas for performance and scalability. It involves working on complex backend systems supporting large-scale advertising auctions and audience targeting. 🗂️ Requirements: 2+ years of engineering experience, Proficiency in Java, Strong understanding of concurrency, Strong understanding of distributed systems, Experience with Spring Framework or similar IoC framework, Experience with JPA or other ORM framework, Strong knowledge of SQL, Experience with PostgreSQL or other modern RDBMS, Ability to work with large multi-module codebase 📃 Skills: Java, Spring, JPA, SQL, PostgreSQL, Spark, HBase, Kafka, Kubernetes, ORM, NoSQL 🏢 Description: We’re looking for a Java Backend Engineer to join LoopMe — a global AI-powered ad tech company redefining how brands connect with consumers across the open internet. In this role, you’ll help build and scale our Data Management Platform (DMP) — a massively distributed, high-throughput system processing billions of events daily , creating rich device and audience profiles, and exporting data segments to 50+ global partners and exchanges in real time. You’ll work on complex backend challenges around performance, scalability, data pipelines, and real-time processing , helping power the infrastructure behind large-scale advertising auctions and audience targeting. This is an opportunity to work on truly high-load systems , collaborate with experienced engineers, and have direct impact on a product used by some of the biggest players in the ad tech ecosystem. What you'll be doing: Developing features and optimizing performance for large-scale data pipelines (Spark jobs, HBase, Kafka) Designing and optimizing data schemas for relational and NoSQL databases Building microservice applications Core qualifications: 2+ years of engineering experience Proficiency in Java with a strong understanding of concurrency and distributed systems Experience with Spring Framework or similar IoC frameworks Experience with JPA or other ORM frameworks Strong knowledge of SQL and experience with modern RDBMS (PostgreSQL) Self-motivated, reliable, and comfortable working across a large multi-module codebase Additional experience we’d value: Experience with Apache Spark or other large-scale data processing frameworks Experience with HBase or other NoSQL/columnar stores Experience with Kubernetes Experience with Kafka Experience with AI/LLM integrations in backend services Benefits Flexible working schedule with a hybrid type of work Annual performance bonus One month of workation (you can work from any part of the world for one month) Multikafeteria

🏢 Summary: Mid-level Full Stack Engineer role focused on building and shipping end-to-end features in a TypeScript monorepo using Next.js and Node.js, while leveraging AI tools for daily development. The position involves developing backend services, integrating AI agent workflows, and deploying cloud-based infrastructure. It combines product-focused engineering with hands-on AI-enabled platform development. 🗂️ Requirements: 2–4 years commercial software engineering experience, Strong TypeScript and JavaScript knowledge, Hands-on experience with React and Next.js, Backend development experience with Node.js, Experience with PostgreSQL and ORM usage, Experience building and consuming REST APIs, Understanding of cloud infrastructure concepts, Experience with Git and CI/CD pipelines, Experience with code quality tools, Experience working in a monorepo, Regular use of AI-assisted development tools 📃 Skills: TypeScript, JavaScript, React, Next.js, Node.js, Express, Hono, Prisma, PostgreSQL, pgvector, MongoDB, Mongoose, REST, Git, CI/CD, ESLint, Prettier, Turborepo, Mastra, Vercel, GCP, Terraform, Datadog, OpenTelemetry, Docker 🏢 Description: Overview We're looking for a Mid Full Stack Engineer who builds end-to-end features across our Next.js frontend and Node.js backend — and uses AI tools daily to ship faster. You'll work in a modern TypeScript monorepo powering an AI-enabled platform, contributing to both the product and the AI agent infrastructure behind it. This isn't an ML research role — it's a hands-on engineering role where AI is part of your daily workflow and the product you're building. Key Responsibilities Build and ship full-stack features end-to-end in a TypeScript/Next.js/React monorepo Develop and maintain backend services using Node.js, Hono, and Express Work with Prisma ORM and PostgreSQL (with pgvector) and MongoDB via Mongoose Contribute to AI agent workflows built on Mastra and the Vercel AI SDK Use AI coding tools (Cursor, Claude, Copilot) daily to accelerate development Deploy and maintain services on GCP Cloud Run with Terraform Improve observability using Datadog APM/RUM and OpenTelemetry Collaborate with product, design, and engineering in an agile environment Write clean, testable code and participate in code reviews Required Qualifications Engineering (2–4 years commercial experience): Strong TypeScript and JavaScript fundamentals Hands-on experience with React and Next.js (App Router) Backend experience with Node.js (Express, Hono, or similar) Working knowledge of relational databases (PostgreSQL) and an ORM (Prisma preferred) Familiarity with REST APIs and basic cloud infrastructure concepts Understanding of Git workflows, CI/CD pipelines, and code quality tools (ESLint, Prettier) Comfortable working in a monorepo (Turborepo experience is a plus) AI Mindset & Tooling: Regularly uses AI-assisted development tools (Cursor, Claude, GitHub Copilot) Curious about LLM integrations and AI SDK patterns — willing to learn Mastra and Vercel AI SDK Uses AI for real productivity gains, not just experimentation Product & Collaboration: Understands the "why" behind features, not just the "how" Comfortable working closely with product and design stakeholders Good English communication skills (written and spoken) Nice-to-Have Experience with Mastra or similar AI agent frameworks Familiarity with GCP (Cloud Run, Cloud SQL, Artifact Registry) Terraform or other IaC experience MongoDB/Mongoose experience Tailwind CSS and Radix UI / shadcn component libraries Experience with Clerk authentication Exposure to observability stacks (Datadog, Langfuse, OpenTelemetry) Familiarity with Docker and containerized deployments