About the Team

About the Role

What you’ll do

• Lead and mentor a globally distributed team of security engineers focused on application security, offensive testing, secure architecture, and vulnerability remediation.
• Lead and coordinate the team's initiatives and help provide project management leadership to the team members.
• Coordinate cross function and cross stream initiatives and projects.
• Drive integration of security into Miro’s Discover, Define, Deliver lifecycle through the lens of the AMPED Ways of Working and Operating Model.
• Collaborate with Product, Engineering, and Design to ensure security is considered at the earliest stages of ideation—via threat modeling, risk reviews, and abuse-case analysis.Shape and evolve Miro’s Secure SDLC practices, integrating security seamlessly into CI/CD pipelines, infrastructure-as-code, and developer tooling.
• Oversee execution of bug bounty and third-party testing programs, ensuring vulnerabilities are triaged, communicated, and remediated effectively.
• Build and scale Miro’s Security Champions program to embed security ownership within each engineering team.
• Guide secure adoption of AI-augmented software development tools, including LLMs used for code generation, reviews, or architectural assistance.
• Help envision and safely operationalize Agentic AI-driven developer and security workflows, including policy-driven autonomous agents supporting security automation and decision-making.
• Provide structured guidance, patterns, and reference architectures that support developers in implementing secure, scalable, and privacy-respecting features.
• Define and report on KPIs and success metrics for secure development adoption, vulnerability resolution, and developer engagement.
• Collaborate with Privacy, Legal, and Compliance teams to ensure alignment with regulatory requirements (ISO 27001, SOC 2, GDPR, and emerging AI regulations).
• Foster a strong team culture based on collaboration, learning, and continuous improvement.

What you’ll need

• 10+ years of experience in software, application, or product security, including significant experience in secure software development.
• 3+ years of technical leadership or management experience in a security-focused role.
• Extensive experience with threat modeling methodologies (e.g., STRIDE, PASTA) and risk assessment, particularly within a SaaS or product-centric organization.
• Deep expertise in Secure Software Development Lifecycles (SSDLC), including integrating security into agile and custom development frameworks.
• Demonstrated experience running Security Champions programs and scaling developer engagement.
• Experience leading offensive security programs (penetration testing, red teaming, bug bounty).
• Practical understanding of governance and assurance frameworks such as ISO 27001, SOC 2, and OWASP SAMM.
• Familiarity with AI/LLM tooling (e.g., Cursor, GitHub Copilot, custom LLM integrations) and the associated security and governance considerations.
• Experience working with AWS and securing API-driven, microservice-based architectures.
• Ability to manage distributed teams and communicate effectively across technical and business stakeholders.

Who You Are (Skills & Attributes)

• Developer-Aligned: You understand the pace and pressure of modern software development and are committed to reducing friction while improving security posture.
• An Exceptional Communicator: You can articulate complex technical risks to non-technical stakeholders and translate business goals into security strategy for your team.
• A Natural Collaborator: You excel at building strong relationships and influencing cross-functional teams without direct authority.
• A Pragmatic Problem-Solver: You are skilled at identifying scalable, risk-based solutions and are comfortable navigating ambiguity in a fast-paced environment.
• Data-Driven: You use metrics and KPIs to measure the effectiveness of your programs and drive continuous improvement.
• A Passionate Mentor: You are dedicated to developing talent and empowering engineers and product managers to be security champions.

Why Join Miro’s Security Team?

As a member of Miro’s security leadership, you’ll help define how innovation and trust scale together. You’ll work across the AMPED operating model, empower developers through secure tooling, and support cutting-edge AI-driven and agentic workflows that redefine how software and teams are built. If you thrive on technical depth, cross-functional collaboration, and advancing the next era of secure software development, this role is for you.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Miro is looking for a Machine Learning Research Engineer to serve as the technical "North Star" for our Machine Learning organization. You will operate as an Individual Contributor, driving the architectural decisions behind the "Intelligent Canvas."

Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and unstructured collaboration. You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to make Miro the smartest collaboration platform on earth.

What you’ll do

• Design, train, and ship production-grade ML models—including deep learning, NLP, and computer vision systems—that solve complex business problems and power core product features.
• Conduct deep exploratory research on massive datasets to uncover novel patterns in user behavior and content creation, translating raw data insights into new predictive modeling opportunities.
• Apply advanced fine-tuning strategies (e.g., PEFT, LoRA) to adapt state-of-the-art foundation models to specific domain tasks, rigorously experimenting to maximize performance.
• Architect scalable ML pipelines for data processing, feature engineering, training, and evaluation, ensuring high data quality and system reliability.
• Optimize model performance for latency, throughput, and resource utilization, balancing model complexity with production constraints (e.g., overfitting vs. underfitting, compute efficiency).
• Collaborate cross-functionally with data engineers, product managers, and software engineers to translate business requirements into technical ML specifications and integrate models into user-facing applications44.
• Champion MLOps excellence by automating deployment workflows, implementing CI/CD for ML, and establishing robust monitoring for model drift and health.
• Stay at the forefront of ML research, evaluating novel algorithms and techniques (e.g., Transformer architectures, quantization) to drive innovation and technical strategy.

What you’ll need

• Strong foundation in ML theory and statistics, including hypothesis testing, probability distributions, regression, classification, and optimization techniques.
• Solid engineering fundamentals. You are comfortable writing production-level Python and have a deep understanding of data structures, algorithms, and distributed system design.
• Deep proficiency in Python and the modern ML stack, with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, and deep learning frameworks (PyTorch, TensorFlow).
• Gradient Debugging: Expertise in PyTorch or JAX, including experience with distributed training (e.g., DDP, FSDP) and debugging complex gradient issues.
• Applied Research: Ability to read, implement, and improve upon the latest academic papers (NeurIPS, ICML, CVPR). You don't just use libraries; you understand the math underneath them and can reproduce results in peer-reviewed papers.
• Track record of end-to-end ML delivery, from exploratory data analysis (EDA) and feature engineering to training, validation, and deploying models in a production environment.
• Experience with large-scale systems, capable of designing resilient architectures that handle vast datasets and high-throughput inference requests.
• Strong engineering mindset, valuing code quality, testing, modularity, and maintainability just as highly as model accuracy.

Education + Experience

• Option A: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field plus ~3+ years of professional ML engineering experience.
• Option B: No formal degree, ~6+ years of industry experience demonstrating equivalent proficiency in building and shipping ML systems.

What's in it for you

LON:

• Competitive equity package
• Health insurance for you and your family
• Corporate pension plan
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team
  

Multi Location: Amsterdam / Berlin / Yerevan / London:

• Competitive equity package
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team

Recruiter: #LI-MH1

About the Team

Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.

About the Role

As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.

What you’ll do

• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
• Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability
• Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
• Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
• Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
• Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
• Write clean, well-tested, maintainable code, participating in code reviews and® technical discussions across the stream
• Troubleshoot and resolve production issues, ensuring high availability and performance

What you’ll need

• 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
• Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
• Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
• Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
• Ability to develop high-quality, production-ready code within complex codebases
• Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
• Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
• Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
• AI-First Proficiency. We’re building for an AI-first future, and we’re looking for graduates who aren’t just using AI—they’re mastering it. We’re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it’s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
• Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
• Nice-to-have: Real-time technologies experience (WebSocket)
• Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
• Nice-to-have: Multi-modal AI or long-context handling
• Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-JR1

About the Team

About the Role

What you’ll do

• Design, develop, and maintain backend services that support pricing, packaging and monetization
• Create proof of concepts and prototypes to validate ideas
• Make appropriate trade-offs when supporting experimentation
• Work in a cross-functional team on projects to bring new products to market on top of our Monetization platform
• Contribute to or drive initiatives and experiments to optimise conversion or introduce new monetization capabilities
• Contribute to system architecture and infrastructure choices with a focus on scalability, performance, and maintainability
• Help shape and drive technical strategy for Miro's Pricing and Packaging platform
• Maintain high code quality through testing, code reviews, and automation
• Leverage the latest AI coding tools to optimise how you work with your team

What you’ll need

• 5+ years of backend engineering experience
• Strong experience with Java or Kotlin in production environments preferred
• Experience designing and maintaining scalable services
• Proficiency in modern development practices (CI/CD, observability, test automation)
• Strong ownership mindset and collaborative approach to problem-solving
• Experience working in a product-led company

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

About the Team

About the Role

What you’ll do

• Design and implement scalable, fault-tolerant backend services for email and in-app notifications
• Build and evolve event-driven, asynchronous pipelines that process high volumes of product and user events
• Create high-quality technical designs and write clean, maintainable, self-documented production code
• Ensure correctness, idempotency, deduplication, and delivery guarantees across notification flows
• Optimize performance, latency, and scalability while maintaining reliability under peak load
• Take long-term ownership of features and subsystems, including production health and evolution
• Collaborate with Product and Platform teams to deliver relevant and timely user notifications

What you’ll need

• 6+ years of backend development experience (Java 17, Kotlin, Spring / Spring Boot)
• At least 4+ years of experience building and operating distributed systems in production environments
• Strong understanding of event-driven architectures, async processing, and message-based systems
• Solid knowledge of high-load SaaS architecture, scalability, and reliability patterns
• Some experience with streaming/messaging platforms, notifications or feed-like systems (email, in-app, push, or similar)
• Familiarity with cloud infrastructure, preferably AWS, and production observability practices

AI-First Proficiency

We embrace AI-first development. Our ideal candidate has moved way beyond basic Copilot usage, and integrated AI agents into their entire SDLC—from autonomous debugging and log analysis to rapid prototyping and shipping features to production. We expect you to be an expert "pilot" who can orchestrate AI tools to deliver high-quality code at a pace that traditional workflows can't match. Practically this means that you are running multi-agent flows using tools like Claude Code, Cursor or similar. If you’ve optimized your workflow to be 10x faster using the latest AI tools, we want to talk to you.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-VS1

About the Team

About the Role

What you’ll do

What you’ll need

• Strong proficiency in Java or Kotlin, with a solid grasp of multithreading and JVM performance
• Practical experience building and maintaining high-load distributed systems or microservices
• Hands-on experience working with WebSockets and gRPC for real-time data transport
• Familiarity with concurrency patterns and the ability to debug complex, stateful application issues
• Ability to translate technical requirements into clean, testable code that integrates with complex backend proxies
• Effective communication skills to collaborate with partner teams on API definitions and service integrations

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-ID2

Miro is looking for a Lead Research Scientist to serve as the technical "North Star" for our Machine Learning organization. You will operate as a high-level Individual Contributor (Staff/Principal level), driving the architectural decisions behind the "Intelligent Canvas."

Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and unstructured collaboration. You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to make Miro the smartest collaboration platform on earth.

What you’ll do

• Pioneer Novel Architectures: Move beyond off-the-shelf APIs. You will design and train custom architectures that fuse multimodal inputs (text, sketches, diagrams, screenshots, code, etc.) into a unified representation of user intent.
• Bridge Theory and Production: You will read the latest papers (NeurIPS, ICLR, CVPR) on Monday and have a working prototype by Friday. You bridge the gap between academic theory and scalable, low-latency production systems.
• Define the Technical Strategy: While Managers define what we build, you define how we build it. You will make high-stakes decisions on model selection (e.g., Diffusion vs. Autoregressive), build vs. buy, and fine-tuning strategies (LoRA, Q-LoRA).
• Mentorship & Technical Excellence: You will elevate the entire ML research engineering organization by conducting rigorous code reviews, hosting paper reading groups, and mentoring research engineers on mathematical fundamentals and experimental design.
• Solve the "Unsolved": You will tackle ambiguous problems with no StackOverflow answers—such as "How do we generate a valid UML diagram from a rough sticky-note brain dump?" or "How do we detect 'agreement' in a spatial cluster of comments?"

What you’ll need

• Deep Research Expertise: PhD or equivalent deep industrial experience in Computer Science, Math, or Physics. You have a track record of publishing in top-tier conferences or shipping models that serve millions of users.
• Public Track Record: A portfolio of patents, impactful open-source contributions, or first-author publications in top-tier conferences (NeurIPS, ICML, CVPR, ICLR).
• Mastery of the Modern Stack: You are an expert in PyTorch or JAX. You can implement complex loss functions from scratch and debug distributed training issues on massive GPU clusters.
• Specialization in Structure & Generation: Deep experience in at least one of the following: Generative AI (LLMs/Diffusion), Graph Neural Networks (GNNs), or Geometric Deep Learning. You understand how to model relationships, not just tokens.
• Engineering Rigor: You write clean, modular, production-ready code. You understand the trade-offs between model accuracy and inference latency.
• Communication: You can explain the "Why" behind complex mathematical concepts to Product Managers, Designers, and Executives, turning abstract research into a compelling product vision.

Education + Experience

• Option A: PhD in Computer Science, Machine Learning, Mathematics, Physics, or related field plus 4+ years of professional experience shipping ML at scale.
• Option B: Master’s degree or equivalent deep technical experience plus 7+ years of industry experience, with at least 2 years operating at a Senior or Staff level (driving technical strategy).

Bonus (Nice-to-Have)

• Graph Learning Expertise: Specific experience with Graph Neural Networks (GNNs) or Geometric Deep Learning. You understand how to apply ML to non-Euclidean data (like the node-edge relationships on a Miro canvas).
• Generative Media: Hands-on experience building or fine-tuning Diffusion models for image/video generation or Multimodal LLMs (vision + text).
• Performance Optimization: Experience porting models to constrained environments (e.g., ONNX, WebGpu, CoreML) or optimizing inference for real-time interaction in the browser.
• Domain Knowledge: Previous work in Computational Creativity, HCI (Human-Computer Interaction), or building tools for thought (e.g., knowledge graphs, whiteboarding tools).

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-MH1

About the Team

About the Role

We’re looking for a Backend Engineer who will help us achieve ambitious goals. We expect you to have a strong software engineering experience, readiness to drive change and experiment in search of the best solution, an understanding of how to work with big loads, and be able to scale it. Be responsible for the important parts of the code and be willing to take on difficult challenges, collaborate with teams across Miro to provide well-defined and extendable interfaces on Canvas model data.

What you’ll do

• Create high quality technical design and high quality, self-documented code
• Design and implement scalable and high-performing solutions with concurrency and fault-tolerance in mind
• Optimize application performance and scalability, identifying areas for improvement and implementing necessary enhancements.
• Design and implement flexible but stable and future-proof data access patterns and contracts (APIs, events)
• Take long-term ownership for feature/subsystem
• Write exception-safe mission-critical code that has no right to crash
• Collaborate with teams across Miro to improve our product, architecture, and engineering practices

What you’ll need

• 5+ years of backend development experience. We use Java 17, Kotlin and Spring (+Spring Boot)
• 4+ years of experience building robust, high-scale, distributed systems in production environments
• Proficient in REST, WebSockets for real-time communication
• Familiarity with cloud architecture, with preference given to experience with AWS.
• Understanding of high-load architecture and SaaS infrastructure
• Understanding of Apache Kafka or equivalent messaging systems
• Proficient in multithreading concepts in Java, including thread management, thread pools, and their impact on system resources and performance

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-ID2

Miro is the online workspace for innovation, used by 100M+ people to build the next big thing. We are seeking a Research Manager to lead the team defining the brain behind the "Intelligent Canvas."

This is not for building a standard GenAI or Recommendation engine. You will lead a team operating at the intersection of Vision, Language, and Graph Theory, working with a dataset unlike any other in the industry: spatial, unstructured, and deeply human collaboration data. You will bridge the gap between open-ended research (LLMs, Diffusion Models, GNNs) and product impact, empowering teams to dream, design, and build faster.

What You'll Do

• Build and lead a world-class applied research team, hiring and mentoring researchers who excel at the intersection of deep learning theory and production engineering.
• Define the research roadmap to support the "Intelligent Canvas," identifying opportunities to model complex user behaviors—from multi-user collaboration on an infinite canvas, to multi-format AI-powered generation (e.g. slide deck, technical diagram, web app prototypes, etc.), and more.
• Pioneer research on unique spatial datasets. Unlike standard text/image corpuses, you will explore massive multimodal and graph-based datasets, uncovering how teams organize information spatially and collaborate together to solve complex multi-modal problems.
• Drive the "Research-to-Product" velocity. You will create the framework for rapidly testing foundation models (e.g., GPT-4, Llama, Stable Diffusion) and fine-tuning them for specific domain tasks (e.g. prototype generation, diagram generation, mindmap generation).
• Cultivate a culture of scientific rigor. Encourage the team to stay at the cutting edge (NeurIPS, CVPR) while maintaining a relentless focus on shipping features that delight users.
• Partner with Engineering & Product Leadership to translate abstract AI capabilities into intuitive solutions that feel like magic to our users.
• Architect organizational processes for model governance, ensuring rigorous evaluation frameworks, reproducibility, and ethical AI practices.

What We're Looking For

• Proven track record of technical leadership: 2+ years of experience managing high-performing Applied Science or ML Engineering teams in a product-led tech company or top-tier research lab.
• Multimodal & GenAI Depth: You don't just use APIs; you understand the architecture of Transformers, Diffusion models, and Graph Neural Networks (GNNs). You can guide a team through the complexities of fine-tuning and RAG at scale.
• A "Product-First" Researcher: You understand that accuracy metrics (F1, AUC) are proxies, not goals. You prioritize user value and latency constraints in production.
• Curiosity for the "Unsolved": You are excited by the ambiguity of modeling "collaboration." How do you quantify a "good brainstorm"? How do you autocomplete a flowchart?
• Strategic Communication: You can articulate the difference between "hype" and "utility" to executive stakeholders and align research efforts with Miro’s long-term strategy.

Education + Experience

• Option A: PhD in Computer Science, Statistics, Mathematics, or related field + 2+ years of people management experience.
• Option B: Master’s degree or equivalent deep technical experience + 5+ years of industry experience in ML, including 2+ years of people management.

Bonus (Nice-to-Have)

• A portfolio of research contributions, including publications in top-tier conferences (NeurIPS, ICLR, KDD) or impactful technical blog posts.
• Familiarity with the modern MLOps stack and experience guiding teams in building their own research infrastructure.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-MH1

About the Team

About the Role

What you’ll do

• Actively participate in the analysis of initial issues & goals, do research and determine solutions’ requirements
• Design and implement scalable and high-performing solutions
• Make architectural decisions and recommendations for converting successful prototypes into mature products
• Collaborate with teams across Miro to improve our product, architecture and engineering practices
• Improve platform DX
• Solve technical problems of large scope and complexity
• Create high-quality technical design documentation considering the product requirements
• Take long-term responsibility for the team’s domain area
• Drive and develop technical expertise growth within the team

What you’ll need

• 5+ years of experience building frontend applications with modern languages, frameworks, and technologies.
• Strong computer science fundamentals, including architecture and modern development practices.
• Proven ability to decompose product requirements into technical designs, with expertise in unit, integration, and acceptance testing to ensure high code quality.
• Understanding of non-functional requirements, including performance, security, and memory management, and their impact on coding and architecture.
• Critical thinking and system-level mindset: balances short-term needs with long-term goals, investigates root causes, and makes informed decisions collaboratively.
• Experience in agile, cross-functional teams within fast-paced environments, with curiosity, strong collaboration skills, and openness to learn from successes and failures.
• Excellent communication skills in English (upper-intermediate or higher) and a passion for delivering high-quality software.
• Additional plus: Experience working on platform teams.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-ID2