Plain Concepts

• Participating in the design and development of AI solutions for challenging projects. • Building production level ML/AI solutions, with solid software engineering and ML/AI principles. • MLOps Automated deployment and monitoring (models and infrastructure). • Data analysis (data cleaning, variable transformation, etc.). • Developing and training ML/AI models. • Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.

Role Description As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning. - You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds. - You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact. - Whether you prefer working from home or vibing with us at our offices, the choice is yours. - AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊 You will be responsible for: - Participating in the design and development of AI solutions for challenging projects. - Building production level ML/AI solutions, with solid software engineering and ML/AI principles. - MLOps Automated deployment and monitoring (models and infrastructure). - Data analysis (data cleaning, variable transformation, etc.). - Developing and training ML/AI models. - Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment. Qualifications - More than 5 years of experience in AI / Machine Learning / Computer Science. - Experience building an “end-to-end software product” which has AI or Machine Learning components. - Experience working with Azure or other cloud-based solutions. - Strong skills in Python and reasonable SQL understanding. - Experience in testing as an essential part of development (unit, integration, etc.). - Knowledge in NLP and Computer Vision. - Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines (MLOps experience is very valuable for the team). - Experience using GitHub Copilot or similar AI coding tools in real development workflows. - Constant drive to learn and ability to learn quickly. - Strong team player mindset. - Fluent Spanish (mandatory). Requirements - Very nice to have: - Fluent English (international environment). - Experience with Big Data tools and cloud platforms (especially Azure). - RESTful API development and DevOps practices (docker, CI/CD). - Familiarity with recommendation systems, unsupervised learning, and ranking models. - Cognitive services, Agentic AI... - Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing. - Strong object-oriented programming skills. Benefits - Salary determined by the market and your experience 🤑 - Flexible schedule 35 Hours / Week 😎 - Fully remote work (optional) 🌍 - Flexible compensation (restaurant, transport, and childcare) ✌ - Medical and dental insurance (completely free of charge for the employee) 🚑 - Individual budget for training or equipment and free Microsoft certifications 📚 - English lessons 🗽 - Birthday day off 🌴🥳 - Monthly bonus for electricity and Internet expenses at home 💻 - Discount on gym plan and sports activities 🔝 - Plain Camp (annual team-building event) 🎪 - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 700 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. - We are highly committed to technical excellence. - We are known for developing highly customized projects, offering specialized technical consultancy and training. - Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.

Role Description Transform security operations for the AI era. We are looking for a senior cybersecurity professional to help redesign how modern Security Operations Centers detect, investigate and respond to threats by combining Detection & Response expertise, security automation, AI automation and agentic AI capabilities. The role will focus on turning traditional SOC processes into intelligent, controlled and scalable workflows, where AI agents can assist analysts, automate repetitive tasks, enrich investigations, recommend actions and accelerate response while maintaining human oversight, auditability and security control. This is a hands-on architecture role at the intersection of SecOps, SIEM/SOAR, Detection Engineering, Incident Response and AI-native automation. The ideal candidate will help organizations move from manual, ticket-driven security operations toward a new operating model where analysts, automation and AI agents work together to increase speed, consistency and resilience. What will you do? - Analyze current SOC processes (L1/L2 workflows, alert triage, escalation paths). - Identify opportunities to automate and improve detection & response. - Convert manual playbooks into structured, automated workflows. - Design how AI agents assist analysts in triage, investigation and response. - Define decision trees, enrichment logic and automation patterns. - Establish clear boundaries between automation, AI and human decisions. - Design human-in-the-loop models for critical actions. - Ensure all automation is secure, explainable and auditable. What makes this role unique? - Work at the intersection of Security Operations (SecOps). - Detection & Response. - SIEM / SOAR automation. - Incident Response. - AI-driven security operations (Agentic AI). Qualifications - 6+ years of experience in cybersecurity (SOC, SecOps, Detection & Response, etc.). - Strong background in security automation, SIEM or SOAR. - Experience designing or improving detection use cases and incident response workflows. - Hands-on experience working with SOC environments (L1, L2, L3). - Ability to translate analyst knowledge into automation and workflows. - Understanding of incident lifecycle, enrichment and escalation processes. - Experience working with technical teams and business stakeholders. - Practical mindset: ability to design solutions that work in real environments. - Fluent in Spanish and English. Requirements - Experience with Microsoft Sentinel, Defender XDR or Security Copilot. - Experience in SOC automation / SOAR implementations. - Knowledge of detection engineering and MITRE ATT&CK. - Experience with KQL, SPL or similar query languages. - Exposure to AI-driven workflows or automation. - Experience in SOC transformation programs or MSSP environments. Benefits - Salary determined by the market and your experience 🤑. - Flexible schedule 35 Hours / Week 😎. - Fully remote work (optional) 🌍. - Flexible compensation (restaurant, transport, and childcare) ✌. - Fully free health insurance, with a co-payment for dental services 🚑. - Individual budget for training or equipment and free Microsoft certifications 📚. - English lessons 🗽. - Birthday day off 🌴🥳. - Monthly bonus for electricity and Internet expenses at home 💻. - Discount on gym plan and sports activities 🔝. - Plain Camp (annual team-building event) 🎪. - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕. - The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.

• AI-native SOC transformation • Analyze current SOC operating models, L1/L2 activities, escalation flows and response procedures. • Identify opportunities to automate, augment or redesign detection and response processes using AI automation and agentic workflows. • Translate analyst knowledge into structured, reusable and automatable workflows. • Define how AI agents can support alert triage, enrichment, investigation, prioritization and response. • Establish clear boundaries between autonomous actions, AI-assisted recommendations and human decision points. • Help organizations evolve from traditional SOC processes to AI-enabled security operations. • Detection & Response automation architecture • Define automation blueprints for common detection and response use cases. • Convert incident response playbooks into structured workflows. • Define decision trees, enrichment steps, evidence requirements and output formats. • Support the design of automated triage, false positive reduction and incident prioritization. • Create reusable patterns for investigation, containment, escalation and reporting. • Ensure automation is reliable, explainable and operationally useful for SOC teams. • Agentic security operations design • Define agent roles, responsibilities, permissions and execution boundaries. • Design human-in-the-loop models for sensitive or high-impact actions. • Define approval workflows, escalation paths and confidence thresholds. • Ensure agent recommendations are explainable, traceable and auditable. • Define logging and evidence requirements for AI-assisted decisions. • Identify and mitigate risks such as unsafe automation, hallucination, excessive permissions, prompt injection, data leakage or incorrect response actions. • Work with AI engineering teams to ensure agentic workflows are secure, controlled and aligned with security operations needs. • SIEM, SOAR and security tooling integration • Human-in-the-loop operating model • Continuous improvement and operational impactRelevant technology exposure

Role Description Transform security operations for the AI era. We are looking for a senior cybersecurity professional to help redesign how modern Security Operations Centers detect, investigate and respond to threats by combining Detection & Response expertise, security automation, AI automation and agentic AI capabilities. The role will focus on turning traditional SOC processes into intelligent, controlled and scalable workflows, where AI agents can assist analysts, automate repetitive tasks, enrich investigations, recommend actions and accelerate response while maintaining human oversight, auditability and security control. This is a hands-on architecture role at the intersection of SecOps, SIEM/SOAR, Detection Engineering, Incident Response and AI-native automation. The ideal candidate will help organizations move from manual, ticket-driven security operations toward a new operating model where analysts, automation and AI agents work together to increase speed, consistency and resilience. Key Responsibilities - AI-native SOC transformation - Analyze current SOC operating models, L1/L2 activities, escalation flows and response procedures. - Identify opportunities to automate, augment or redesign detection and response processes using AI automation and agentic workflows. - Translate analyst knowledge into structured, reusable and automatable workflows. - Define how AI agents can support alert triage, enrichment, investigation, prioritization and response. - Establish clear boundaries between autonomous actions, AI-assisted recommendations and human decision points. - Help organizations evolve from traditional SOC processes to AI-enabled security operations. - Detection & Response automation architecture - Define automation blueprints for common detection and response use cases. - Convert incident response playbooks into structured workflows. - Define decision trees, enrichment steps, evidence requirements and output formats. - Support the design of automated triage, false positive reduction and incident prioritization. - Create reusable patterns for investigation, containment, escalation and reporting. - Ensure automation is reliable, explainable and operationally useful for SOC teams. - Agentic security operations design - Define agent roles, responsibilities, permissions and execution boundaries. - Design human-in-the-loop models for sensitive or high-impact actions. - Define approval workflows, escalation paths and confidence thresholds. - Ensure agent recommendations are explainable, traceable and auditable. - Define logging and evidence requirements for AI-assisted decisions. - Identify and mitigate risks such as unsafe automation, hallucination, excessive permissions, prompt injection, data leakage or incorrect response actions. - Work with AI engineering teams to ensure agentic workflows are secure, controlled and aligned with security operations needs. - SIEM, SOAR and security tooling integration - Human-in-the-loop operating model - Continuous improvement and operational impact Relevant Technology Exposure - SIEM platforms such as Microsoft Sentinel, Splunk, QRadar, Chronicle or similar. - SOAR platforms and automation frameworks. - XDR / EDR platforms and cloud security platforms. - Identity and access management systems. - Threat intelligence platforms. - Case management and ticketing tools. - AI automation platforms, agentic AI frameworks and enterprise AI orchestration environments. - Microsoft Foundry, Microsoft Security Copilot, Logic Apps, Azure Functions or automation runbooks, where relevant. Qualifications - 6+ years of experience in cybersecurity, with strong background in Detection & Response, SOC operations, security automation, SIEM engineering or security architecture. - Proven experience designing or implementing AI automation, AI-assisted workflows, agentic automation or AI-enabled operational processes. - Strong understanding of how modern SOCs operate across L1, L2 and L3 functions. - Experience designing or improving detection use cases, triage processes, incident response procedures and SOC playbooks. - Hands-on experience with SIEM and/or SOAR platforms. - Ability to translate analyst procedures into structured workflows, decision trees and automation requirements. - Good understanding of alert enrichment, case management, incident lifecycle management and escalation models. - Practical understanding of identity, permissions, API integrations and secure automation design. - Ability to work with SOC analysts, security architects, engineering teams and senior client stakeholders. - Strong documentation skills, especially for operational procedures, use case specifications and technical architecture. - Ability to design automation that works in real SOC environments, not just theoretical diagrams. Desirable Experience - Microsoft Sentinel, Defender XDR or Microsoft Security Copilot. - Microsoft Foundry or Azure AI-based automation. - Agentic AI workflows in cybersecurity or IT operations. - Loop generation and maintenance. - SOC automation / SOAR implementation. - Logic Apps, Azure Functions or automation runbooks. - KQL, SPL or equivalent SIEM query languages. - Detection engineering and MITRE ATT&CK mapping. - Threat intelligence enrichment. - Incident response automation. - XDR / EDR platforms and cloud security operations. - Case management integration. - Enterprise SOC transformation programs. - MDR/MSSP operating models. - Purple teaming or detection validation. - DevSecOps or infrastructure automation. - GRC/control evidence automation for security operations. Benefits - Salary determined by the market and your experience 🤑 - Flexible schedule 35 Hours / Week 😎 - Fully remote work (optional) 🌍 - Flexible compensation (restaurant, transport, and childcare) ✌ - Fully free health insurance, with a co-payment for dental services 🚑 - Individual budget for training or equipment and free Microsoft certifications 📚 - English lessons 🗽 - Birthday day off 🌴🥳 - Monthly bonus for electricity and Internet expenses at home 💻 - Discount on gym plan and sports activities 🔝 - Plain Camp (annual team-building event) 🎪 - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ - The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.

Role Description Transform security operations for the AI era. We are looking for a senior cybersecurity professional to help redesign how modern Security Operations Centers detect, investigate and respond to threats by combining Detection & Response expertise, security automation, AI automation and agentic AI capabilities. The role will focus on turning traditional SOC processes into intelligent, controlled and scalable workflows, where AI agents can assist analysts, automate repetitive tasks, enrich investigations, recommend actions and accelerate response while maintaining human oversight, auditability and security control. This is a hands-on architecture role at the intersection of SecOps, SIEM/SOAR, Detection Engineering, Incident Response and AI-native automation. The ideal candidate will help organizations move from manual, ticket-driven security operations toward a new operating model where analysts, automation and AI agents work together to increase speed, consistency and resilience. Key Responsibilities - AI-native SOC transformation - Analyze current SOC operating models, L1/L2 activities, escalation flows and response procedures. - Identify opportunities to automate, augment or redesign detection and response processes using AI automation and agentic workflows. - Translate analyst knowledge into structured, reusable and automatable workflows. - Define how AI agents can support alert triage, enrichment, investigation, prioritization and response. - Establish clear boundaries between autonomous actions, AI-assisted recommendations and human decision points. - Help organizations evolve from traditional SOC processes to AI-enabled security operations. - Detection & Response automation architecture - Define automation blueprints for common detection and response use cases. - Convert incident response playbooks into structured workflows. - Define decision trees, enrichment steps, evidence requirements and output formats. - Support the design of automated triage, false positive reduction and incident prioritization. - Create reusable patterns for investigation, containment, escalation and reporting. - Ensure automation is reliable, explainable and operationally useful for SOC teams. - Agentic security operations design - Define agent roles, responsibilities, permissions and execution boundaries. - Design human-in-the-loop models for sensitive or high-impact actions. - Define approval workflows, escalation paths and confidence thresholds. - Ensure agent recommendations are explainable, traceable and auditable. - Define logging and evidence requirements for AI-assisted decisions. - Identify and mitigate risks such as unsafe automation, hallucination, excessive permissions, prompt injection, data leakage or incorrect response actions. - Work with AI engineering teams to ensure agentic workflows are secure, controlled and aligned with security operations needs. - Relevant technology exposure - SIEM platforms such as Microsoft Sentinel, Splunk, QRadar, Chronicle or similar. - SOAR platforms and automation frameworks. - XDR / EDR platforms and cloud security platforms. - Identity and access management systems. - Threat intelligence platforms. - Case management and ticketing tools. - AI automation platforms, agentic AI frameworks and enterprise AI orchestration environments. - Microsoft Foundry, Microsoft Security Copilot, Logic Apps, Azure Functions or automation runbooks, where relevant. Qualifications - 6+ years of experience in cybersecurity, with strong background in Detection & Response, SOC operations, security automation, SIEM engineering or security architecture. - Proven experience designing or implementing AI automation, AI-assisted workflows, agentic automation or AI-enabled operational processes. - Strong understanding of how modern SOCs operate across L1, L2 and L3 functions. - Experience designing or improving detection use cases, triage processes, incident response procedures and SOC playbooks. - Hands-on experience with SIEM and/or SOAR platforms. - Ability to translate analyst procedures into structured workflows, decision trees and automation requirements. - Good understanding of alert enrichment, case management, incident lifecycle management and escalation models. - Practical understanding of identity, permissions, API integrations and secure automation design. - Ability to work with SOC analysts, security architects, engineering teams and senior client stakeholders. - Strong documentation skills, especially for operational procedures, use case specifications and technical architecture. - Ability to design automation that works in real SOC environments, not just theoretical diagrams. Desirable Experience - Microsoft Sentinel, Defender XDR or Microsoft Security Copilot. - Microsoft Foundry or Azure AI-based automation. - Agentic AI workflows in cybersecurity or IT operations. - Loop generation and maintenance. - SOC automation / SOAR implementation. - Logic Apps, Azure Functions or automation runbooks. - KQL, SPL or equivalent SIEM query languages. - Detection engineering and MITRE ATT&CK mapping. - Threat intelligence enrichment. - Incident response automation. - XDR / EDR platforms and cloud security operations. - Case management integration. - Enterprise SOC transformation programs. - MDR/MSSP operating models. - Purple teaming or detection validation. - DevSecOps or infrastructure automation. - GRC/control evidence automation for security operations. Benefits - Salary determined by the market and your experience 🤑 - Flexible schedule 35 Hours / Week 😎 - Fully remote work (optional) 🌍 - Flexible compensation (restaurant, transport, and childcare) ✌ - Fully free health insurance, with a co-payment for dental services 🚑 - Individual budget for training or equipment and free Microsoft certifications 📚 - English lessons 🗽 - Birthday day off 🌴🥳 - Monthly bonus for electricity and Internet expenses at home 💻 - Discount on gym plan and sports activities 🔝 - Plain Camp (annual team-building event) 🎪 - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ - The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.

• Design, develop, and maintain BI solutions (reports, dashboards, and data models) that support operational and strategic decision-making. • Translate business requirements into scalable data models and meaningful visualizations. • Build and optimize ETL/ELT processes to ensure reliable and timely data availability. • Work closely with Data Engineers to improve data quality, performance, and architecture. • Partner with business stakeholders to define KPIs and ensure consistent metric definitions. • Improve existing reporting solutions, focusing on usability, performance, and maintainability. • Support data governance practices and documentation standards. • Troubleshoot data issues and proactively identify opportunities for improvement.

Role Description We don’t need someone to "build reports." We need someone who understands data as a product. Our business runs on decisions. Decisions depend on metrics. Metrics depend on well-modeled, reliable data. That’s where you come in. You’ll help us design and own the analytical layer of our data platform, from modeling raw data into clean, trusted datasets to delivering insights that leadership actually uses. We are looking for a BI Developer who is comfortable working across the full BI stack: from raw data to business-facing dashboards. This role is hands-on and technical. You'll be building data models, shaping datasets, and delivering reporting solutions that people actually use to make decisions. You should care about data quality, performance, and clean modeling, not just making dashboards look good. What You'll Be Doing - Design, develop, and maintain BI solutions (reports, dashboards, and data models) that support operational and strategic decision-making. - Translate business requirements into scalable data models and meaningful visualizations. - Build and optimize ETL/ELT processes to ensure reliable and timely data availability. - Work closely with Data Engineers to improve data quality, performance, and architecture. - Partner with business stakeholders to define KPIs and ensure consistent metric definitions. - Improve existing reporting solutions, focusing on usability, performance, and maintainability. - Support data governance practices and documentation standards. - Troubleshoot data issues and proactively identify opportunities for improvement. Qualifications - Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field. - 3+ years of experience as a BI Developer, Data Analyst, Analytics Engineer, or in a similar role. - Strong experience with SQL and relational databases. - Experience building interactive dashboards using tools such as Power BI, Tableau, or Looker. - Solid understanding of data modeling concepts (star schema, snowflake schema, dimensional modeling). - Experience designing and maintaining ETL/ELT pipelines. - Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud is a plus. - Knowledge of data warehousing principles and best practices. - Experience with version control tools (e.g., Git) is considered an advantage. - Experience working in Agile environments is preferred. - Excellent organizational and time management skills. - Fluent in English (written and spoken).

• Rebuild our data warehouse: own the architecture, schemas, and core datasets with clean pipelines and a unified event taxonomy established with Engineering. • Deliver trusted, reusable data products: foundational datasets that power analytics, reporting, in-app features, and AI, anchored on a joinable customer/account spine across product, billing, and CS context. • Stand up data observability: quality checks, freshness, lineage, schema drift, and incident response, so the business can trust what it sees. • Own in-app reporting: ship the analytics features that help support leaders turn their data into better decisions. • Enable self-serve: evolve our data layer, dashboards, and documentation so every team can run their own analysis without a ticket. • Lay the retrieval layer behind our AI agent's customer context. • Partner across the company: work with GTM, CX, Product, and Engineering to translate questions into scalable models and datasets.

- Understand the project’s needs and objectives. - Effectively manage projects, ensuring on-time and within-budget delivery. - Maintain proactive and effective communication with clients to understand their needs and expectations. - Support the team in client interactions. - Analyze and design technical solutions. - Collaborate closely with the technical team to ensure proposed solutions align with client requirements. - Oversee and ensure the quality of project deliverables. - Conduct data and process analyses to identify areas for improvement and optimization. - Provide technical guidance and advice to clients when necessary.