About the team:

In our Trinity Development & QA department, we focus on one clear mission: making professional website creation and online success accessible to busy SMB owners.

Our goal is to help customers create, manage and grow their online presence without needing deep technical knowledge.

Customer-centricity and design-driven innovation are at the core of everything we do. We constantly challenge ourselves to think from the user’s perspective, simplify complexity and deliver real value, not just features.

You’ll be joining a diverse, international team working across locations, Bucharest and Germany. Collaboration is key for us: designers, testers, developers and product teams work closely together to bring ideas to life. Our colleagues are passionate about their work, eager to experiment with new ideas and AI Tools, technologies and approaches. They thrive in a learning environment, constantly seeking out opportunities to expand their knowledge and skills. You'll find yourself surrounded by a team who embraces challenges, values curiosity and pushes the boundaries of what's possible.

About our product:

Our AI-powered website builder combines powerful technology with simplicity and is designed with a suite of Do-It-Yourself services to help our customers shine online.

Our product is built on JavaScript technologies, using TypeScript for both front-end and back-end development. We use NodeJS on back-end, React & Redux for the front-end and GraphQL to connect them. All web applications operate on a Kubernetes-like cluster, structured as microservices.

Looking ahead, we are evolving our product beyond a traditional website builder into an AI-driven ecosystem. Our vision is to transform it into an Active Assistant - bridging the gap between user intent and execution.

Our customers will transition from "learning a tool" to "achieving an outcome" through a natural language-first interface, from conversational and visual editor to an intelligent agent that can propose, execute and optimize changes autonomously.

About the Working Student program:

This program is intended for students (currently enrolled in a bachelor's or master's program) who want to gain experience, following what they learned in a specialized faculty, in order to become IT specialists. 

What you'll do:

• Work closely with Product Owners to understand goals and shape product features;
• Support the definition of customer journeys, user flows, wireframes and prototypes (low- and high-fidelity);
• Contribute to design specifications and help translate them into working software together with developers;
• Create and maintain Figma screens and components;
• Maintain and improve the team’s design system and style guide;
• Participate in user research preparation and contribute to research activities;
• Iterate on design decisions based on data and user behavior;
• Collaborate with cross-functional teams (developers, QAs, designers) across locations; 
• Take part in team ceremonies (Scrum meetings, sprints ceremonies);
• Gradually grow into a point of contact for design-related topics within the team.

What we're looking for:

As an UX Working Student, your role is to help us design the right solutions and design them the right way, so that our users can easily create and manage their own websites.

We’re looking for someone who is curious, motivated and eager to grow in the UX field, with a strong interest in creating intuitive and meaningful user experiences.

You bring:

• A strong willingness to learn, grow and share knowledge;
• A curious, explorer mindset with attention to quality and user experience;
• Creativity and a proactive attitude;
• Interest in working on complex, real-world (enterprise-level) products;
• Ability to collaborate effectively with cross-functional and international teams;
• Good communication skills and a team-oriented mindset;
• Self-drive and motivation to develop in the UX field;
• Fluency in English (written and spoken).

What's in for you:

• Opportunity to learn, experiment and grow your UX skills in a real product context;
• Join a supportive and open team environment where your ideas are valued, while your contribution will shape real-world outcomes;
• Exposure to a modern environment with technologies and practices that help us ship reliable software efficiently;
• Continuous mentoring and guidance from experienced designers and engineers;
• Exposure to modern product development practices (Agile, Scrum, Software Development Lifecycle, Continuous Integration);
• Hands-on experience with industry tools like Figma and AI-supported design workflows (e.g. Anthropic’s Claude Code).

What we offer:

• The chance to use and learn a variety of cool technologies, tools and frameworks and get familiar with product  development responsibility;
• Guidance and coaching to help you every step of the way;
• The opportunity to meet and work with experienced professionals;
• Flexible working hours to accommodate your academic schedule;
• Support on working on real-world projects and gain hands-on experience;
• Hybrid work possibility;
• Potential for future career opportunities within our company;
• Substitute days off for public holidays that occur on the weekend;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• 12.5 vacation days/6 months;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As a DevOps Engineer in this team you will  build the foundation of our internal AI Customer Care platform. You will be responsible for the "heavy lifting"—designing the distributed systems that power real-time speech-to-speech pipelines, orchestrating agentic workflows via MCP, and ensuring our AI scales without breaking a sweat.

Main responsibilities:

• Design, build, and maintain CI/CD pipelines in collaboration with development teams
• Improve and gradually redesign our infrastructure toward container orchestration
• Maintain and optimize Debian-based Linux systems
• Ensure high availability and monitoring across multiple data centers
• Contribute to observability, monitoring, logging, and incident response practices
• Automate infrastructure provisioning and configuration
• Maintain ISO security standards throughout the infrastructure 
• Handle vulnerabilities, ensure dependency tracking
• Work closely with developers to optimize deployment workflows and runtime environments
• Use AI tooling effectively (Claude, ChatGPT, internal MCP tools) to improve productivity and automation
• Architect Low-Latency Pipelines: Build and optimize the streaming infrastructure for Speech-to-Speech (S2S), ensuring sub-500ms round-trip latency for natural voice interactions.Experience with scaling and deploying in zones. Minimize hops between services. Experience with WSS & SRTP protocol would be a plus. 
• Hosting Specialized tooling: Host and maintain the specialized applications needed in our AI pipelines (eq. MCP servers, Vector store databases, Caching apps, etc..) Monitor and respond to unhealthy patterns (high memory, high cpu, low disk space, high latency).
• Data & Evaluation Plumbing: Host and maintain our Automated QA Module. Schedule jobs and design alerts that would need a rapid response (High hallucinations or low response quality for latest nightly run, etc..)

We are looking for some of:

• Strong Linux administration experience, preferably Debian-based systems
• Hands-on experience with Kubernetes in production environments
• Experience with cloud native architectures (design, build, operations)
• Solid understanding of networking fundamentals:
• Subnetting
• Routing
• BGP concepts and high-availability design
• Experience with CI/CD systems and infrastructure automation tools
• Good scripting skills (Bash, Python or similar)
• Ability to troubleshoot distributed systems
• Systems Expertise: DevOps knowledge: Docker or Docker Swarm, Kubernetes, ArgoCD, JFrog Artifactory, Infrastructure-as-Code, CI/CD, Helm, Prometheus, Terraform, Gitlab/Github CI, Grafana, Jenkins
• Familiar with monitoring stack: Prometheus/Grafana (Metrics), ELK (Logs) & Jaeger (Trace) etc.
• Best practices on how to secure systems and pipelines: OpenID Connect, OAuth 2, Hashicorp Vault, Keycloak, Keepass, Ansible-vault

Would be a plus:

• Experience with telephony gateways (Twilio, Amazon Connect) and SIP/RTP protocols  or other telephony platforms
• Experience migrating from VM-based infrastructure to container orchestration
• Exposure to AI-driven development workflows

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

Location: Bucharest

About us:

IONOS is the largest cloud hoster in Europe and is setting up the foundation as European Cloud Provider. This includes not just offering storage that can compete with the American hyper-scalers, but that offers the full infrastructure stack, including AI & Machine Learning Products. As the largest hosting company in Europe, we manage more than 8 million customer contracts and host over 12 million domains in our own regional data centers in the US and Europe.

About the team:

The AI & ML Products Development department is responsible for building the platform for ML Services products for IONOS Cloud customers, as well as other companies in the United Internet group.

Our most recent product development features integration of GenerativeAI foundational models, LLMs and others. We run foundational models on prem in our cloud, such as Meta’s Llama, Mistral or StableDiffusion and also VectorDBs and offer them via APIs to our cloud customers.

We are also working with classic ML models for Computer Vision,  NLP), audio/voice  processing & predictions.

Our team is working with technologies such as HugginFace frameworks, TensorFlow, PyTorch, Keras, vLLM, notebooks, MLflow and others.

On the platform side, technologies: GoLang, Java, Spring Boot, REST APIs, Hibernate, SQL (PostgreSQL and MySQL) and NOSQL (Redis, MongoDB). 

We deploy everything to cloud-native Docker / Kubernetes environments, making use of GitHub + Actions, ArgoCD, Prometheus, and other modern cloud technologies.

You will work together with a creative and innovative group of people that love experimenting and learning new things. We are an international team that breaks barriers and solves real customer and business problems.

Main responsibilities:

Would you like to join the AI Technology team at IONOS (1&1 Internet), Europe’s leading cloud and web hosting provider? We are building a platform that provides AI solutions to customers worldwide, from GenAI / LLM inference, to model training, vector databases and much more.

We are looking for a Go Developer with Python knowledge to develop our AI Cloud platform, which provides GenAI and Machine Learning Services to customers in IONOS Cloud.

In this role, you will:

• Develop platform components, services and APIs, that integrate AI / ML services into our cloud products stack;
• Drive cloud-native implementation as part of a cross-functional team responsible for building our AI / ML platform that will provide AI-based products to our cloud customers, as well as internal clients and IONOS Group brands;
• Take part in all phases of development, maintenance and housekeeping of the platform;
• Work closely with Product Owners, Architects to define the best technical solutions that match our product vision;
• Collaborate with an international organization of software developers and AI enthusiasts.

We appreciate:

• Strong programming language in GO / Python, preferably more than one, and ecosystem knowledge with a 4+ years experience, or 7+ years for Senior level;
• Experience with cloud-native environments such as Docker, Kubernetes;
• Very good command of software design patterns and architectural concepts;
• Experience with building RESTful services;
• Ability to take on technical concepts and deliver solution for project initiatives;
• Microservice oriented architecture, performance and scalability concerns;
• Very good OOP and OOD experience;
• Experience with build tools and versioning systems, such as Git/GitHub/Gitlab, Actions, Jenkins, ArgoCD or similar;
• Good written and verbal English skills. 

Would be a plus:

• Product-oriented development mindset and a responsible ownership attitude towards software components;
• Previous experience integration AI / ML related solutions;
• Strong understanding of systems resilience, concurrency, and scalability concerns;
• Full-stack development skills are appreciated;
• Knowledge of Machine Learning technologies, working with data and ML models;
• Openness to take new approaches, learn new concepts and technologies;
• An open collaboration approach and transparent communication.

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Employee anniversary program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

About the job

The world’s most critical--and at risk--business applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes.

We are seeking a Senior Data Engineer to join our mission-driven team. This role is ideal for experienced data engineers with a proven track record in architecting scalable data pipelines, leveraging cloud technologies, and contributing to high-impact cybersecurity solutions. You will be responsible for building high-performance ETL frameworks, optimizing data platforms, and contributing directly to the enhancement of our customers' threat detection, response, and remediation capabilities.

What you will be doing, your legacy: 

You will be working directly with company Principal Engineers evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. You will play a direct role in laying the technical foundation for a new product offering. Additionally, you will be working with Engineering and DevOps to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure best practices are followed. 

Responsibilities:

• Architect and Design Scalable Data Solutions: Design/develop/maintain Data lakehouse solutions (Iceberg/Delta Lake /Hudi) applying industry best practices and structuring / optimizing the data according to data access patterns.
• Data Pipeline Development: Implement ETL/ELT pipelines using cloud technologies (Spark / pySpark / Glue, Kinesis Streams / Iceberg) to load the data into a Lakehouse for both efficient ML processing and UI reporting.
• Implement data models and data processing frameworks (Spark, Kafka, Snowflake) to ingest, transform, and load large datasets into Data Lakehouse techs (Apache Iceberg, Apache Delta Lake or Apache Hudi), ensuring high availability and reliability of data.
• Advanced Data Integration: Develop solutions that integrate multiple data sources into Snowflake or similar data warehouses to enable real-time analytics and reporting across dashboards.
• AI/ML Integration: Collaborate with cross-functional teams to co-develop AI-driven features identifying patterns and anomalies in client data using AI/ML technologies (python).
• Compliance and Security: Ensure compliance with industry standards and secure best practices (SOX, SOC 1/2), by implementing data governance frameworks, monitoring data pipelines, and optimizing cloud database architectures to protect sensitive information.
• Stakeholder Collaboration: Work closely with stakeholders, including analysts, engineers, and product managers, to understand their data needs, propose solutions, and drive data-driven decision-making by delivering actionable insights.
• Data Infrastructure Monitoring: Continuously monitor, troubleshoot, and enhance data pipelines, leveraging CI/CD tools (Docker, Jenkins, GitHub Actions) and orchestrating workflows using Apache Airflow to maintain operational efficiency.
• Leadership and Mentorship: Provide hands-on mentorship and technical guidance to junior engineers, including code reviews and architecture discussions.
• Documentation and Governance: Establish comprehensive documentation for data architecture, governance, and processes to ensure scalability, compliance, and security.

Qualifications:

• 5+ years of proven experience as a Data Engineer or in a similar role with a deep understanding of data architecture and cloud-based ETL/ELT frameworks.
• Strong experience with AWS (preferably) or Azure , particularly with Glue, EMR, S3, Lambda. Databricks, Snowflake, Synapse experience is a bonus.
• Proficiency in big data technologies such as Apache Spark, Kafka, Hadoop, and Databricks for distributed data processing.
• Proficiency with Python libraries for data processing and ML (e.g., Pandas, NumPy, Polars, Scikit-learn, PyTorch, TensorFlow).
• Hands-on experience in building real-time data processing and AI/ML-driven analytics solutions (SageMaker, Bedrock, NLP, Power BI).
• Ability to architect and manage data lakehouse solutions (Iceberg / Delta Lake / Hudi) or classic warehouse solutions (Redshift, Snowflake).
• Familiarity with compliance and audit requirements (SOX, SOC 1/2, GDPR) and implementing data governance and security frameworks.
• Strong problem-solving skills with a focus on data integrity, scalability, and performance optimization.
• Experience with CI/CD tools (Jenkins, GitHub Actions, Docker) and data orchestration platforms (Apache Airflow).

Preferred Qualifications:

• Experience with advanced data architecture principles (medallion architecture, materialized views, task scheduling).
• Experience using BI tools (e.g., Power BI, Tableau) for real-time analytics and operational reporting

What we offer: 

• A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
• A unique culture of high achievement and teamwork.
• Supportive and humble colleagues are the space's top problem solvers and innovators.
• Financial security through competitive compensation and incentives.

Location: Onapsis is established a new development center in Bucharest. This is a hybrid role (1-2 days per week from the office), so candidates must be commutable to Bucharest every week.

About Onapsis:

Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications.

Onapsis is headquartered in Boston, MA, with egional offices in Heidelberg, Germany; Buenos Aires, Argentina; Texas, USA, and now in Bucharest, Romania; and proudly serves hundreds of the world’s leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies. 

For more information, connect with Onapsis on LinkedIn or visit https://www.onapsis.com.

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