Miro

About the Company

Miro is an innovation workspace designed for teams of every size, everywhere, to dream, design, and build the future together. Our mission? To empower these teams to create the next big thing, powered by AI at every step of the way.

Over 80 million users around the world rely on Miro to untangle complex ideas, put customer needs first, and deliver products and services faster. All supported by best-in-class security, compliance, and scalability.

Listed Jobs

Company Name

Miro

Job Title

Frontend Engineer

Job Description

Job title: Frontend Engineer Role Summary: Architect, develop, and maintain the core front‑end components for a high‑traffic public web platform. Drive performance, reliability, and conversion optimization while integrating with headless CMS and internal tooling. Expectations: - Deliver scalable, reusable UI components that support a unified content architecture. - Apply deep front‑end expertise to translate design and business requirements into efficient, maintainable code. - Collaborate cross‑functionally with product, marketing, and acquisition teams to optimize user acquisition and engagement metrics. Key Responsibilities: - Design and implement core architectural components using React, TypeScript, Node.js, and Next.js. - Build and maintain internal tooling for A/B testing frameworks, personalization engines, and conversion optimization. - Integrate headless CMS (e.g., Contentful) and other content services. - Optimize build and bundle processes (webpack/Rollup) and perform continuous performance tuning. - Monitor application health with observability tools (Sentry, Grafana) and resolve production incidents to ensure high uptime. - Lead efforts to improve site speed, rendering patterns, and overall user experience. Required Skills: - 5+ years of professional front‑end development. - Proficiency in React, TypeScript, Node.js, Next.js. - Experience with monorepo tooling (Turborepo, Yarn workspaces, package management). - Expertise in headless CMS integration (Contentful or similar). - Strong testing practices: Jest, React Testing Library, Storybook. - Build optimization: bundler configuration, bundle analysis, performance tuning. - Observability and monitoring: Sentry error tracking, Grafana dashboards. - Excellent troubleshooting, debugging, and problem‑solving abilities. - Strong communication, collaboration, accountability, and adaptability. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). ---

London, United kingdom

Hybrid

Mid level

25-11-2025

Company Name

Miro

Job Title

Site Reliability Engineer, Cloud Security

Job Description

Job title: Site Reliability Engineer, Cloud Security Role Summary: Design, automate, and maintain secure, scalable cloud infrastructure on AWS/EKS, ensuring reliability and compliance while enabling rapid development. Expactations: Deliver hands‑on engineering solutions; apply SRE principles to cloud security; collaborate with infrastructure teams; respond to incidents; drive observability and continuous improvement. Key Responsibilities: • Design, implement, and maintain scalable security controls in AWS/EKS using IaC (Terraform). • Automate deployment and continuous delivery of security capabilities (WAF, Secrets Management, governance tooling). • Ensure reliability, availability, and performance of security services to minimize development impact. • Serve as a security consultant for infrastructure teams, focusing on Kubernetes security best practices. • Participate in on‑call rotation to investigate and resolve cloud security incidents. • Continuously enhance observability, proactively identify misconfigurations or vulnerabilities at scale. Required Skills: • Extensive Kubernetes administration and security experience. • Proven AWS security expertise (IAM, WAF, Secrets Manager) and cloud networking fundamentals. • Mastery of Infrastructure‑as‑Code with Terraform and CI/CD pipelines (GitHub). • Proficient in a high‑level language (Python, Go). • Experience with Secrets Management solutions (HashiCorp Vault, ESO). • Knowledge of privileged access management solutions (advantage). • Background in SRE, DevOps, or production reliability roles. Required Education & Certifications: • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • AWS Certified Security – Specialty (or equivalent AWS security expertise). • Terraform Associate certification (optional).

London, United kingdom

Hybrid

26-11-2025

Company Name

Miro

Job Title

Backend Engineer

Job Description

Job Title Backend Engineer Role Summary Design, develop, and operate scalable backend services and data pipelines that enable AI model training, inference, and experimentation for a large‑scale, product‑centric platform. Build tooling to improve reliability, reproducibility, and speed of AI development and deployment, and contribute to architectural decisions focused on performance, maintainability, and scalability. Expections – Minimum 4 years of production backend engineering experience. – Strong proficiency in Python, Java, or Kotlin. – Demonstrated ability to design and maintain scalable, distributed services. – Experience with ML Ops practices and end‑to‑end AI pipelines. – Familiarity with cloud AI services (AWS Bedrock, OpenAI, Anthropic, etc.). – Solid grasp of modern dev‑ops: CI/CD, observability, automated testing. – Ownership mindset, collaborative problem‑solving, and passion for tooling that accelerates innovation. Key Responsibilities • Architect and implement backend APIs for model training, inference, and experimentation workflows. • Build and maintain data pipelines that power AI insights and quality improvements. • Develop internal tooling to enhance reliability, reproducibility, and deployment velocity of AI features. • Participate in system architecture discussions, shaping infrastructure choices for scalability and performance. • Enforce high code quality through rigorous testing, code reviews, and automation. Required Skills • Python, Java, or Kotlin – production‑grade coding. • Scalable distributed system design and implementation. • ML Ops fundamentals: model lifecycle, CI/CD for models, monitoring, and observability. • Cloud AI platform familiarity (e.g., AWS Bedrock, OpenAI, Anthropic). • Strong knowledge of software development best practices (unit, integration testing, CI/CD pipelines). • Excellent communication and collaboration skills in cross‑functional teams. • Ownership mentality and proactive problem‑solving. Required Education & Certifications • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent professional experience). • No mandatory certifications; ML‑ops or cloud provider certificates are a plus.

London, United kingdom

Hybrid

Junior

08-12-2025