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Acenet consulting

<div><div>Experience: 5 to 10 years
 
Location: Abu Dhabi
 
Job code: 101407
 
Posted on: Jan 16, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary: 
we are currently looking for Data Engineer profiles with Microsoft Purview experience. The role focuses on building and maintaining scalable data pipelines while ensuring robust data governance, cataloguing, and compliance across enterprise data platforms.
<div>Key Responsibilities: 
<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, process, and transform large volumes of structured and unstructured data.</li><li>Implement and manage data governance, data cataloguing, and metadata management using Microsoft Purview.</li><li>Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and deliver effective data solutions.</li><li>Monitor data quality and ensure data integrity throughout the data lifecycle.</li><li>Develop automation and orchestration of data workflows using tools like Azure Data Factory, Databricks, or equivalent.</li><li>Assist in defining data security policies and ensure compliance with regulatory standards using Purview&rsquo;s data classification and access control features.</li><li>Troubleshoot and optimize data systems for performance and scalability.</li><li>Document data engineering processes, data lineage, and metadata to support transparency and audit requirements.</li><li>Stay up to date with industry trends, best practices, and emerging technologies in data engineering and governance.</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.</li><li>Proven experience as a Data Engineer or similar role.</li><li>Hands-on experience with Microsoft Purview for data governance, cataloguing, and classification.</li><li>Strong proficiency in SQL and experience with cloud-based data platforms, preferably Microsoft Azure.</li><li>Experience with ETL/ELT tools such as Azure Data Factory, Databricks, or Apache Spark.</li><li>Knowledge of data modelling, data warehousing concepts, and big data technologies.</li><li>Familiarity with scripting languages such as Python, PowerShell, or similar.</li><li>Understanding of data security, privacy regulations, and compliance requirements.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration abilities.</li></ul></div>
<div>Preferred Qualifications: 
<ul><li>Microsoft Azure certifications (e.g., Azure Data Engineer Associate).</li><li>Experience with other data governance tools.</li><li>Knowledge of DevOps practices for data pipelines.</li><li>Familiarity with machine learning and AI concepts.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Data Engineer - Microsoft Purview

Mubadala

<div>
 
 About Us:
 
 
 
 This position is offered as a 6-month contract with the possibility of extension based on business needs and performance. Continuation beyond the initial term is not guaranteed.
 
 
 Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.
 
 
 Portfolio Strategy helps our Investment Committee to focus on the longer-term performance and sustainability of our portfolio.
 
 
 We actively monitor the overall performance of our investments, the strategy execution progress, and the impact of various global trends and macroeconomic developments.
 
 
 
 What you will do:
 
 
 
 Work with the Strategy team to strengthen our strategy systems and data flows, improve the monitoring of the portfolio with dashboards and embed AI and automation into day-to-day workflows. The two consultants will split focus across the areas below while collaborating closely.
 
 
 
 Key Accountabilities
 
 
 
 
 Strategy Systems &amp; Transformation
 
 
 
 <ul>
 <li>
 Assist in ensuring allocations are reported and flowing correctly
 </li>
 <li>
 Review, update, and expand pipeline and allocation dashboards; develop additional smart dashboards (e.g., Group view, strategy monitoring) for executives and investment teams
 </li>
 <li>
 Develop and support integration of new systems (e.g. DealCloud to Efront, Aladin and MSCI) and support enhancements of existing systems
 
 
 </li>
 </ul>
 
 AI Integration, Analytics and Automation
 
 
 
 <ul>
 <li>
 Identify and prioritize AI/automation opportunities across strategy workflows and processes (e.g. portfolio construct, pipeline, allocation and portfolio monitoring and reporting)
 </li>
 <li>
 Optimize, automate, and document existing quantitative frameworks portfolio construction, and performance analytics to enhance consistency, efficiency, and scalability
 </li>
 <li>
 Build and deploy AI agents to support delivery of core research and investment strategy activities and generate greater insights
 </li>
 <li>
 Design, build, and maintain robust analytical models and code libraries (primarily in Python) to support investment research, portfolio management, and strategic analysis
 </li>
 <li>
 Build and maintain back testing and simulation frameworks to evaluate strategies, risk exposures, and investment scenarios under varying market conditions
 </li>
 <li>
 Collaborate with data vendors and internal stakeholders to source and structure alternative or proprietary datasets
 
 
 </li>
 </ul>
 Most importantly you will have passion for contributing to Mubadala&rsquo;s mission and growing a leading global investment company.
 
 
 
 What will you bring:
 
 
 
 <ul>
 <li>
 5&ndash;10 years in business/portfolio analytics, AI adoption and system integration, supporting investment managers or asset management institutions, or top-tier consulting/technology roles
 </li>
 <li>
 Solid understanding of private markets and investment life cycle across public and private asset classes
 </li>
 <li>
 Demonstrated experience with systems (e.g. eFront, BlackRock Aladdin) and data providers in private/public markets (e.g. Preqin, Bloomberg, S&amp;Ps etc&hellip;)
 </li>
 <li>
 Solid understanding of financial modeling concepts (valuation, IRR, performance attribution, risk models) and illiquid asset data structures
 </li>
 <li>
 Proficiency in Python (preferred) , including data manipulation, statistical modeling, and visualization libraries (e.g., pandas, NumPy, scikit-learn, Plotly, Dash)
 </li>
 <li>
 BI expertise (e.g. Power BI, Tableau)
 </li>
 <li>
 Experience building or maintaining quantitative tools, APIs, or system integrations across financial platforms
 </li>
 <li>
 Knowledge of databases (SQL) and ETL / data integration frameworks
 </li>
 <li>
 Proven ability to manage complex data projects, document processes, and communicate technical insights to non-technical stakeholders
 
 
 </li>
 </ul>
 
 Preferred Attributes
 
 
 
 <ul>
 <li>
 Experience working in or with sovereign wealth funds, asset managers, or institutional investors
 </li>
 <li>
 Knowledge of portfolio theory, asset allocation and private equity
 </li>
 <li>
 Ability to work cross-functionally with strategy, investment, and technology teams.
 </li>
 <li>
 Passion for innovation and continuous improvement in investment processes.
 </li>
 <li>
 Familiarity with AI/ML applications in finance, such as natural language processing, model optimization, or predictive analytics
 </li>
 <li>
 Knowledge of cloud-based data infrastructures (e.g., Azure, AWS) and data governance principles
 </li>
 <li>
 Experience with private market data modeling and system interoperability across multiple investment platforms
 </li>
 <li>
 Strong analytical thinking, attention to detail, and collaboration skills in cross-functional environments
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 A superior platform to grow your career including.
 
 
 <ul>
 <li>
 A role that has social and financial impact
 </li>
 <li>
 Great working environment with talented colleagues
 </li>
 <li>
 Excellent work culture enabled by our values of Accountability, Inspiration, Integrity &amp; Partnership
 
 
 </li>
 </ul>
 Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity &amp; Partnership. You will operate in a diverse, energetic and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.
 
 
 
 Key Indicators:
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Flexible Working
 
 : Remote working up to 5 days a month.
</div>

Consultant Portfolio Strategy

M & M GENERAL CONTRACTING AND TRANSPORT

Location Abu Dhabi (Office)Job Type Full-time (No remort working accepted)Salary Range Depending on experienceJob Overview: We are looking for a skilled and detail-oriented YouTube Automation Specialist to manage and scale faceless YouTube channels. The ideal candidate will handle end-to-end content operations, ensuring consistent uploads, optimized performance, and channel growth with minimal supervision.Key Responsibilities:<ul><li>Research profitable niches, video ideas, and trending topics</li></ul><ul><li>Create content plans and upload schedules</li></ul><ul><li>Coordinate or manage scriptwriting, voiceovers, video editing, and thumbnail creation</li></ul><ul><li>Optimize video titles, descriptions, tags, and metadata (SEO)</li></ul><ul><li>Upload videos and ensure compliance with YouTube policies</li></ul><ul><li>Monitor analytics (CTR, watch time, RPM) and improve performance</li></ul><ul><li>Manage copyright, fair use, and content claims</li></ul><ul><li>Scale channels through automation tools and workflows</li></ul>Requirements:<ul><li>Proven experience with YouTube automation or faceless channels</li></ul><ul><li>Strong understanding of YouTube SEO and monetization strategies</li></ul><ul><li>Ability to manage freelancers or automated workflows</li></ul><ul><li>Basic knowledge of video editing standards and thumbnails</li></ul><ul><li>Familiarity with analytics tools (YouTube Studio, TubeBuddy, VidIQ, etc.)</li></ul><ul><li>Strong organizational and time-management skills</li></ul>Preferred Qualifications:<ul><li>Experience running monetized channels</li></ul><ul><li>Knowledge of AI tools for scripting, voiceover, or editing</li></ul><ul><li>Understanding of CPM/RPM optimization strategies</li></ul>Job Types: Full-time, Permanent, Contract Contract length: 24 monthsPay: From AED2,500.00 per monthApplication Question(s):<ul><li>What is your visa status ?</li><li>What is your Age And Nationality ?</li><li>Last worked Company Name</li><li>Your Expected Salary ?</li><li>attatch your portfolio with CV</li></ul>

YouTube Automation Specialist

KRL MARINE CONTRACTING AND TRANSPORT SOLE PROPRITORSHIP LLC

Job OverviewWe are seeking a talented Quality Assurance Engineer to join our team. The ideal candidate will be responsible for ensuring the quality of our software products through the development and execution of software test plans.Responsibilities<ul><li>Develop and execute test cases, scripts, plans, and procedures</li><li>Identify and document software defects and inconsistencies</li><li>Collaborate with software engineers to enhance application performance</li><li>Participate in Agile/Scrum meetings to provide input on product quality</li><li>Conduct automated testing using test automation tools</li><li>Perform manual testing on web applications, mobile applications, and server systems</li></ul>Skills<ul><li>Proficiency in Continuous Integration tools such as Jenkins</li><li>Experience with Eclipse IDE for software development</li><li>Strong knowledge of MySQL databases</li><li>Familiarity with JSP (JavaServer Pages) for dynamic web content creation</li><li>Understanding of QA/QC methodologies and practices</li><li>Knowledge of Test Automation frameworks</li><li>Experience working in Agile/Scrum environments</li><li>Ability to conduct Mobile Applications testing</li><li>Familiarity with Server systems testing</li></ul>Job Type: Full-timePay: AED3,000.00 - AED6,000.00 per month

QA/QC Engineer

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking a talented and motivated Software Developer to support the design, development, and deployment of advanced AI-driven platforms and data applications. This position offers an exceptional opportunity to work in an interdisciplinary environment at the intersection of Artificial Intelligence, Natural Language Processing (NLP), and software engineering. The successful candidate will collaborate with data scientists, researchers, and engineers to translate cutting-edge AI research including Large Language Model (LLM) innovations into scalable, secure, and user-friendly systems. The role is ideal for developers who are passionate about AI productization, system integration, and building digital solutions that advance the UAE&rsquo;s AI and digital transformation vision. Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain web and software applications for AI and data-driven projects at BIDAC.
 </li>
 <li>
 Build and integrate APIs for AI/ML model deployment, data pipelines, and backend services.
 </li>
 <li>
 Collaborate with AI researchers to implement LLM-based systems, chatbots, and process automation tools.
 </li>
 <li>
 Develop front-end interfaces and dashboards using modern frameworks (e.g., React, or Dash).
 </li>
 <li>
 Implement secure data access layers and ensure compliance with UAEU&rsquo;s data governance policies.
 </li>
 <li>
 Contribute to the design and deployment of MLOps and DevOps pipelines for production AI applications.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following best practices.
 </li>
 <li>
 Work with cross-functional teams to deploy solutions on cloud and on-premise environments.
 </li>
 <li>
 Support the development of AI-powered educational, research, and administrative tools.
 </li>
 <li>
 Participate in technical documentation, testing, and version control using Git/GitHub.
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or related field.
 </li>
 <li>
 Proven experience in Python, JavaScript, or TypeScript.
 </li>
 <li>
 Experience with web frameworks (e.g., Flask, FastAPI, Django) and front-end libraries (React, Vue, or Angular).
 </li>
 <li>
 Understanding of RESTful API design, JSON, and database integration (MySQL, PostgreSQL, or MongoDB).
 </li>
 <li>
 Strong problem-solving and debugging skills with attention to performance and scalability.
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, AI, or Software Engineering.
 </li>
 <li>
 Experience with LLM deployment, fine-tuning, or integration (e.g., LangChain, RAG systems).
 </li>
 <li>
 Familiarity with MLOps frameworks (MLflow, DVC) and AI application deployment.
 </li>
 <li>
 Prior experience developing AI dashboards, data visualization tools, or analytics platforms.
 </li>
 <li>
 Contribution to open-source projects or experience in AI startup / research environments.
 </li>
 <li>
 Knowledge of Arabic NLP or bilingual (English/Arabic) AI applications is a plus.
 
 
 </li>
 </ul>
 Expected Skills
 
 
 <ul>
 <li>
 Familiarity with AI/ML model integration and LLM APIs (OpenAI, Hugging Face, Anthropic, etc.).
 </li>
 <li>
 Experience developing Gradio, or Flask-based AI interfaces.
 </li>
 <li>
 Ability to work across backend, frontend, and data layers (full-stack orientation preferred).
 </li>
 <li>
 Understanding of cloud services (AWS, Azure, or GCP) and container orchestration (Kubernetes).
 </li>
 <li>
 Knowledge of data processing, API authentication, and secure data exchange protocols.
 </li>
 <li>
 Strong communication, teamwork, and documentation skills.
 </li>
 <li>
 A proactive and innovative mindset with a passion for applying software to solve real-world problems.
 
 
 </li>
 </ul>
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 28/02/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Software Engineer

Khalifa University

<div>
 
 
 Position Overview:
 
 
 
 
 
 
 Khalifa University (KU) seeks a talented Research Engineer (Software Engineer) with extensive experience in software development to support its contribution to the ATLAS experiment at CERN. This role will provide critical support for this strategic collaboration and will focus on the AI/ML techniques with the collider physics as well as Trigger Tool Web and related data management systems. The role combines software engineering, AI/ML development, and research computing infrastructure, contributing to:
 
 
 
 
 <ul>
 <li>
 Applying AI/ML techniques to collider physics and high-energy data analysis.
 </li>
 <li>
 Updating the ATLAS Trigger Configuration Database (TriggerDB) ecosystem.
 </li>
 <li>
 Supporting KU&rsquo;s strategic initiative to establish itself as a Tier 2 computing center for ATLAS, strengthening regional participation in global scientific computing.
 </li>
 </ul>
 
 
 
 
 This position bridges academic research, software engineering and large-scale international collaboration. This role contributes directly to the advancement of KU-high-energy physics group through the ATLAS experiment, helping KU to establish itself as a regional leader in data-intensive research. The successful candidate will have opportunities for collaboration with many disciplines and potential visits to CERN and participation in ATLAS workshops, whenever it is needed. The selected candidate is expected to be working closely with KU-ATLAS group and the Research Computing Department.
 
 
 
 
 
 
 Position Requirements:
 
 
 
 
 
 <ul>
 <li>
 Integrate AI/ML pipelines for data analysis, anomaly detection, and trigger optimization using frameworks such as Tensorflow, Pytorch, or Scikit-learn.
 </li>
 <li>
 Develop, optimize and maintain the web-based Trigger Tool for managing ATLAS trigger configurations.
 </li>
 <li>
 Contributing to developing and managing tools supporting the ATLAS Trigger Configuration Database (TriggerDB). In addition, collaborate with CERN developers to integrate new features into the global TriggerDB infrastructure.
 </li>
 <li>
 Contribute to distributed data management systems and grid computing workflows supporting ATLAS Tier 2 operations.
 </li>
 <li>
 Serve as a link between KU and the ATLAS collaboration at CERN, ensuring smooth collaboration and knowledge exchange.
 </li>
 <li>
 Participate in collaboration meetings and code reviews withing ATLAS and CERN development communities.
 </li>
 <li>
 Prepare documentation, deployment scripts, and operational guidelines for sustained software used at ATLAS and KU.
 </li>
 <li>
 Assist in transitioning academic tools and solutions to production-grade CERN systems.
 </li>
 <li>
 Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly.
 </li>
 <li>
 Coordinate with other departments to facilitate the accomplishment of tasks and responsibilities, as and when needed, including Research Computing, KU IT, etc.
 </li>
 <li>
 Perform any other tasks assigned by the Line Manager.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile:
 
 
 
 
 
 
 
 Essential Criteria
 
 
 
 
 
 <ul>
 <li>
 Master degree from a reputable university in Computer science, Software Engineering, Physics or a related field.
 </li>
 <li>
 Proficiency in Python and web development with Flask and RESTful API.
 </li>
 <li>
 Experience with TypeScript and React front-end framework.
 </li>
 <li>
 Strong SQL skills and knowledge of database systems (e.g., PostgreSQL or Oracle).
 </li>
 <li>
 Proficiency with software lifecycle tools, e.g. GitLab CI/CD, Docker, Kubernetes
 </li>
 <li>
 Experience in AI and ML frameworks and tools (e.g. Tensorflow, PyTorch, Scikit-learn)
 </li>
 <li>
 Familiarity with distributed systems, HPC, or cloud computing (e.g. OpenStack, HTCondoe, SLURM)
 </li>
 <li>
 Good presentation skills.
 </li>
 <li>
 Good communication and interpersonal skills.
 </li>
 <li>
 Ability to work well both individually and as part of a team.
 </li>
 <li>
 Experience of undertaking assigned research tasks and starting to manage own workload.
 </li>
 <li>
 Ability to function as part of a team working on multiple tasks with competing demands and deadlines
 </li>
 <li>
 Well-developed reasoning and problem-solving skills
 </li>
 </ul>
 
 
 
 
 
 Desired Criteria
 
 
 
 
 
 <ul>
 <li>
 Master gained from and/or experience working in a top university.
 </li>
 <li>
 Experience contributing to large-scale physics collaborations.
 </li>
 <li>
 Prior involvement in scientific data management or Tier 2 computing operations
 </li>
 </ul>
</div>

Research Engineer

Visionary Tech Services LLC

<div>The Senior Threat Researcher will specialize in monitoring, collecting, and analysing intelligence from underground forums, darknet markets, encrypted messaging platforms, and closed communities. This role complements the Threat Intelligence researchers by providing raw and contextual underground data that feeds into adversary profiling, enrichment pipelines, and client deliverables. The researcher will also help shape automation strategies for dark web monitoring within the CTI platform, working closely with analysts, AI/ML engineers, and incident responders.
Requirements<ul>
<li>
Underground Monitoring &amp; Collection</li>
<li><ul><li>Identify and infiltrate dark web marketplaces, forums, and closed channels (Telegram, IRC, Discord, etc.).</li>
<li>Track threat actors&rsquo; chatter related to exploits, malware, credentials, and attack tools.</li>
<li>Conduct HUMINT-style engagement when permissible and safe.</li>
</ul></li><li>Threat Data Harvesting</li>
<li><ul><li>Extract and validate IOCs (hashes, domains, wallet addresses, C2 servers).</li>
<li>Correlate underground findings with OSINT, malware telemetry, and CTI feeds.</li>
<li>Provide early warning on data leaks, ransomware negotiations, and credential dumps.</li>
</ul></li><li>Collaboration with CTI &amp; AI Teams</li>
<li><ul><li>Feed structured underground intelligence into the CTI platform for enrichment and scoring.</li>
<li>Partner with ML engineers to train NLP models for dark web text mining.</li>
<li>Work with TI analysts to transform raw chatter into tactical and strategic intelligence.</li>
</ul></li><li>Reporting &amp; Dissemination</li>
<li><ul><li>Produce periodic dark web monitoring reports and client-specific alerts.</li>
<li>Contribute to threat actor profiles, campaign tracking, and risk advisories.</li>
<li>Provide insights to incident response and red team exercises.</li>
</ul></li>
</ul>Desired Skills<ul>
<li>
Technical Expertise</li>
<li><ul><li>Deep knowledge of Tor, I2P, Freenet, and underground marketplaces.</li>
<li>Familiarity with cryptocurrency ecosystems (Bitcoin, Monero, mixers, blockchain tracing).</li>
<li>Proficiency in harvesting IOCs and mapping to frameworks like MITRE ATT&amp;CK.</li>
<li>Understanding of STIX/TAXII, MISP, and TI platform ingestion formats.</li>
</ul></li><li>Research &amp; Intelligence</li>
<li><ul><li>Strong OSINT/HUMINT tradecraft, ability to pivot from dark web to surface intel.</li>
<li>Experience monitoring ransomware leak sites, carding forums, and exploit brokers.</li>
<li>Analytical ability to contextualize underground activity in geopolitical/cybercrime terms.</li>
</ul></li><li>Tooling &amp; Automation</li>
<li><ul><li>Hands-on with dark web monitoring tools (Flashpoint, KELA, DarkOwl, CyberSixgill, custom scrapers).</li>
<li>Scripting for data extraction (Python, Scrapy, APIs).</li>
<li>Familiarity with data visualization tools (Maltego, Kibana, Power BI).</li>
</ul></li><li>Soft Skills</li>
<li><ul><li>Ability to communicate highly technical underground findings in executive-friendly language.</li>
<li>Discretion, OPSEC awareness, and strong ethical boundaries.</li>
<li>Collaborative mindset with TI analysts, IR, and platform engineers.</li>
</ul></li>
</ul>Experience Required<ul>
<li>
7&ndash;10 years in cybersecurity/cyber threat intelligence, with 5+ years focused on dark web research or underground monitoring.</li>
<li>Demonstrated experience infiltrating and monitoring dark web communities.</li>
<li>Strong record of correlating dark web findings with threat intelligence and incident response cases.</li>
<li>Hands-on exposure to CTI platforms (MISP, Anomali, ThreatConnect, Recorded Future, etc.).</li>
<li>Familiarity with malware ecosystems, data leaks, and exploit sales.</li>
<li>Certifications desirable: GCTI, GIAC Cyber Threat Intelligence, OSINT-specific certifications (Bellingcat, SANS OSINT), blockchain tracing certifications.</li></ul></div>

Senior Threat Researcher

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