Mission of the role

You will be part of the team responsible for operating one of the largest and most complex hosting platforms in Europe.

Your mission will be to ensure the stability, performance, and evolution of the Stretch platform, working directly on critical production systems and contributing to the continuous improvement of a highly distributed infrastructure.

This is a strongly technical role with hands-on impact at scale, where your work will directly influence service quality and platform evolution.

You will collaborate closely with Hosting Technology teams and other web hosting teams within IONOS, with frequent interaction with international colleagues—particularly in Germany—to consolidate knowledge of existing systems.

 Responsibilities

• Operation, maintenance, and evolution of large-scale Linux infrastructure.
• Advanced (Level 3) support for complex platform incidents.
• Automation of processes using scripting (BASH, Python) and infrastructure tools.
• Operation and management of distributed storage systems (Ceph).
• Monitoring and analysis of the platform using observability tools (Grafana and similar).
• Continuous improvement of system architecture and stability.
• Collaboration with international teams to absorb knowledge from legacy systems.
• Participation in on-call rotation.

 Professional profile

Must have

• +3 years of experience in Linux system administration.
• Strong scripting skills in BASH and Python.
• Experience with configuration and automation tools:
  • Puppet or SaltStack
  • Ansible or Terraform
• Hands-on experience operating Ceph storage clusters in production environments.
• Experience with monitoring and observability tools such as Grafana.
• Fluent English, required for international communication.

Nice to have

• Knowledge of SQL databases (MySQL, PostgreSQL).
• Solid understanding of networking fundamentals.
• Experience with container technologies (Docker/Kubernetes).
• Knowledge of CI/CD pipelines.
• Experience in highly distributed or high-availability environments.

Soft skills

• Technical curiosity and continuous learning mindset.
• Ability to work in complex environments with incomplete documentation.
• Pragmatic approach to problem solving.
• Team player in international environments.
• Proactive attitude to independently build technical context.
• Participation in an on-call rotation (approx. 1 week every 6).

 Benefits

• Hybrid working model across any of the Arsys offices in Logroño, Alcobendas, Valencia, Barcelona, or Seville, with broad flexible working hours aligned with team coordination needs.
• Opportunity to work on one of the most advanced and large-scale hosting platforms in Europe.
• Direct exposure to highly complex distributed systems at significant scale.
• International technical environment with cross-country collaboration.
• Participation in critical projects with direct impact on service stability.
• Continuous training and professional development within a global technology organization.

At Arsys we value diversity and welcome all applications regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age, as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role

📍Hybrid from Madrid or Valencia 

You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You will join a new focused team of two engineers, collaborating daily with the AIGO team and cross-functional partners across Global Operations, Customer Satisfaction, and Engineering.

Key Responsibilities

• Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
• Engineer Chain of Thought reasoning flows and integration layers that power agent logic
• Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
• Design node-based tools for intent retrieval, context management, and API routing
• Program agent logic using TypeScript, Node.js, Express, React, Next.js, and SQL
• Maintain a high bar for software quality and reliability while innovating at speed
• Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality

Key Requirements

• Experience with TypeScript, Node.js, Express, React, Next.js, and SQL
• Practical knowledge of Docker, Kubernetes, and Linux environments
• Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
• An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
• Proven track record of shipping software to production

Nice to Have

• Proficiency with Cursor or Claude Code 
• Knowledge of ML theory (helpful for context, though fine-tuning is not part of the role)

What Success Looks Like

First 30 days: Set up your development environment, adopt AI-first workflows, gain a functional understanding of our internal AI platform, ship a bug fix to production, and build your first AI Agent using our platform.

First 60 days: Deep dive into a key product area’s architecture, design and implement a small-scale AI feature, and demonstrate independence in troubleshooting and shipping without hand-holding.

First 90 days: Take ownership of a significant AI feature from concept to production, contribute to internal documentation on Agent best practices, and actively participate in architectural reviews as a fully integrated team member.

One year: Transform a portion of our AI platform with a major AI-driven application feature, become recognized as a stakeholder in building and optimizing AI Agents across Groupon, and maintain a high bar for software quality while innovating at speed.

We Are Interested In

A true builder who wants to engineer the platform that powers AI Agents, not just write prompts. You bring a balance of “Old School” engineering discipline (reliability, structure) and “New Wave” AI agility. You are excited to use the latest AI-native stack to create sophisticated internal tools that drive global operations and shape how a global company operationalizes AI. 

#LI-KH1  #LI-Hybrid

Mission

Act as the execution engine of the team, transforming architectural specifications into robust, efficient, and production-ready code. You will work on building and optimizing a hybrid Node.js–C++ system, leveraging AI tools as a key accelerator to maximize development speed without compromising quality.

Responsibilities:

• Develop backend components in Node.js and high-performance integrations with C++
• Translate technical specifications into functional solutions and accurately
• Use AI tools to accelerate development, validation, and code improvement
• Apply test-driven approaches to ensure robustness and stability
• Manage and optimize build environments (Docker, Make, CMake)
• Analyze system performance and identify bottlenecks, especially in Node.js ↔ C++ interactions
• Refactor legacy code into clean, maintainable, and high-performance solutions
• Collaborate closely with architecture roles to continuously improve the system

Requirements

Technical:

• Strong experience with Node.js development
• Ability to read, understand, and debug C++ code
• Experience working in Linux environments
• Familiarity with build tools and containers (Docker, Make, CMake)

AI & Development:

• Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude, or similar)
• Ability to use AI as a productivity multiplier in software development
• Experience with iterative development, testing, and validation workflows

Profile:

• Strong English communication skills, as you will be working in an international team
• Execution-driven mindset with strong focus on quality and results
• Comfortable working in fast-paced environments
• Strong interest in performance optimization and continuous improvement

What We Offer:

• Hybrid work model (in any of our offices in Alcobendas, Valencia, Barcelona, Sevilla, or Logroño)
• Flexible working hours
• Flexible compensation package
• Discounts on Arsys products
• Discounts on technology brands
• Challenging technical environment with real high-performance system problems
• Access to advanced AI tools with no usage restrictions
• Close collaboration with senior profiles and a strong culture of continuous improvement
• Personalized training and development plans
• Biannual team events

Are you a Linux expert who loves solving challenging problems and automating complex systems? Do you want to work in a dynamic, international team where your technical skills make a real impact? Join IONOS and help us power cloud and hosting services for thousands of customers worldwide!

About the Role

As a Senior Linux System Administrator in our Managed Service Platform Operations (MSPO) team, you will manage, automate, and optimize our server platforms (bare metal and virtualized), ensuring high-quality service delivery for cloud and hosting services. You’ll work hands-on, troubleshoot complex issues, and continuously improve our platforms through automation and best practices.

Tasks

• Ensure smooth daily operations of managed service platforms.
• Administer Linux servers globally.
• On-call support as a 3rd-level agent for customer tickets (max one week per month).
• Automate recurring tasks using Bash, Perl, Python, and Ansible.
• Troubleshoot Linux systems, Apache servers, and MySQL databases.
• Collaborate with team members, stakeholders, and customers.
• Maintain documentation and follow best practices.

Requirements

• Advanced Linux system administration skills.
• Experience in Bash, Perl, or Python scripting.
• Troubleshooting experience with Linux, Apache, and MySQL.
• Experience with Ansible automation.
• Familiarity with ticketing and collaboration tools (OTRS, Jira, Confluence).
• Strong problem-solving skills, proactive mindset, attention to detail.
• Excellent communication skills and customer-oriented attitude.

Benefits

• Hybrid work in Valencia.
• Flexible working hours.
• Flexible compensation packages.
• Discounts on Arsys products.
• Discounts on technology brands.
• Personalized training and development.
• Biannual team events.

We are looking for a Head of Infrastructure to own the strategy and execution of our hybrid infrastructure. This role is perfect for a leader who understands the "full stack" of infrastructure—from physical data centers to managed cloud services—and can bridge the gap between technical complexity and business goals.

You will lead a team of specialists, ensuring our Linux-based ecosystem and Kubernetes clusters (on-prem and cloud) are reliable, scalable, and fully automated.

Key Responsibilities

• Infrastructure Strategy: Develop the vision for a hybrid environment that balances the performance of on-prem bare metal with the agility of the public cloud.
• Architectural Oversight: Guide the design of robust, scalable solutions. You aren't the one clicking the buttons, but you are the one ensuring the architecture is sound.
• Team Leadership: Build and manage a high-performing team of DevOps and SRE engineers. Foster a culture of accountability and continuous learning.
• Automation Evangelism: Drive the transition toward "No-Ops" by prioritizing automation across all layers of the infrastructure stack.
• Vendor & Capacity Management: Manage the lifecycle of hardware and data center relationships. Balance OpEx (Cloud) and CapEx (On-Prem) effectively.
• Security & Compliance: Ensure that the infrastructure meets modern security standards, from network isolation to access management.

Technical Profile (Strong Conceptual Understanding)

• Linux Foundations: A solid understanding of Linux internals, file systems, and server management principles.
• Networking Principles: Strong grasp of L2/L3 networking, routing, BGP, and load balancing, especially in the context of connecting data centers to the cloud.
• Kubernetes Ecosystem: Good understanding of K8s architecture, including how it runs on bare metal versus managed services (EKS/GKE). You should understand orchestration, persistent storage, and service discovery.
• Cloud Platforms: Experience managing environments in AWS, GCP, or Azure.
• Modern Tooling: Familiarity with the CNCF landscape, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible).

Core Competencies

• Management Excellence: Proven track record of leading technical teams and managing stakeholders.
• High Responsibility: A "the buck stops here" attitude regarding system reliability and team performance.
• Strategic Thinking: The ability to decide when to build on-prem (for cost/performance) and when to use cloud (for speed/flexibility).
• Process Driven: A focus on documentation, post-mortems, and standardized workflows.