Qureos Mentor

Xenon7

<div><h3 class="jobSectionHeader"><b>Description</b></h3><p><b>
About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><h3 class="jobSectionHeader"><b>
About the Client:</b></h3><p>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Position Overview</b></h3><p>
The Site Reliability Engineer (SRE) is responsible for ensuring the stability, performance, and reliability of Bank's critical applications, particularly Mobile Banking and Internet Banking platforms. This role bridges development and operations teams, implementing automation solutions, monitoring system health, and providing 24/7 operational support to maintain seamless banking services for customers on on-premise infrastructure.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>Monitor and maintain the reliability and performance of Mobile Banking and Internet Banking applications using Prometheus and Grafana dashboards</li><li>Manage and support OpenShift/Kubernetes infrastructure for containerized banking applications on on-premise servers</li><li>Respond to and resolve production incidents with minimal mean time to resolution (MTTR)</li><li>Implement and maintain centralized logging solutions using ELK Stack (Elasticsearch, Logstash, Kibana) for application troubleshooting</li><li>Develop and execute runbooks and automation scripts to reduce manual operational toil in OpenShift environments</li><li>Provide 24/7 production support and on-call rotation for critical banking services</li><li>Analyze logs and metrics from Prometheus and EFK to identify performance bottlenecks and reliability issues</li><li>Conduct root cause analysis (RCA) on incidents and implement preventive measures</li><li>Optimize Kubernetes/OpenShift deployments, pod management, and resource allocation on-premise</li><li>Implement alerting strategies and threshold management in Prometheus and Grafana</li><li>Support infrastructure scaling, capacity planning, and load balancing in production environments</li><li>Implement security best practices and compliance requirements for financial systems in containerized environments</li><li>Manage on-premise data center infrastructure and server resources</li><li>Document operational procedures, troubleshooting guides, and create knowledge base articles</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Qualifications</b></h3><ul><li>BSc in Computer Science, Information Technology, Software Engineering, or related field</li><li>2+ years of hands-on experience in SRE, DevOps, or Production Engineering roles</li><li>Hands-on experience supporting production applications in Kubernetes/OpenShift environments</li><li>Strong experience with OpenShift container platform administration and troubleshooting on on-premise infrastructure</li><li>Proficiency with Prometheus for metrics collection and monitoring</li><li>Proficiency with Grafana for dashboard creation and visualization</li><li>Experience with ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging</li><li>Strong understanding of Linux/Unix operating systems and networking fundamentals</li><li>Practical experience with CI/CD tools and automation frameworks</li><li>Proficiency in at least one programming/scripting language (Python, Go, or Bash)</li><li>Experience with database management (SQL and NoSQL) on-premise</li><li>Excellent troubleshooting and analytical skills for production support</li><li>Strong communication skills and ability to work in cross-functional teams</li><li>Experience in 24/7 production support environments</li><li>Experience with on-premise data center infrastructure management</li><li>Previous experience in financial services or banking sector is a plus</li></ul></div>

Site Reliability Engineer (SRE)-Mobile and Internet Platform

<div><h3 class="jobSectionHeader"><b>Description</b></h3><p><b>
About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><h3 class="jobSectionHeader"><b>
About the Client:</b></h3><p>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.</p><h3 class="jobSectionHeader"><b>
Position Overview</b></h3><p>
The Senior Site Reliability Engineer is a technical leadership role responsible for designing, implementing, and maintaining highly available, scalable, and secure infrastructure for critical banking applications, including Mobile Banking and Internet Banking platforms on on-premise infrastructure. This role leads SRE initiatives, mentors junior engineers, drives continuous improvement in production support, and leads observability strategy using OpenShift, Kubernetes, Prometheus, Grafana, and ELK Stack on on-premise data center infrastructure.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>Design and architect highly available and scalable OpenShift/Kubernetes infrastructure for banking applications on on-premise servers</li><li>Lead and implement comprehensive monitoring and observability strategy using Prometheus and Grafana</li><li>Design and oversee centralized logging infrastructure using ELK Stack (Elasticsearch, Logstash, Kibana)</li><li>Lead SRE best practices implementation and adoption of production support standards across teams</li><li>Mentor and coach junior SRE and DevOps engineers on OpenShift, Kubernetes, monitoring, and production support</li><li>Define and implement Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs) with measurable metrics</li><li>Lead incident response strategy, post-incident reviews, and drive continuous improvement in production stability</li><li>Architect and implement advanced alerting, monitoring dashboards, and visualization strategies using Prometheus and Grafana</li><li>Design automation frameworks and tools to reduce operational toil and improve production efficiency</li><li>Lead OpenShift/Kubernetes cluster upgrades, security patches, and infrastructure modernization on-premise</li><li>Establish production support procedures, on-call rotation policies, and escalation frameworks</li><li>Optimize system performance, cost, and resource utilization across containerized on-premise infrastructure</li><li>Conduct capacity planning, performance optimization, and infrastructure scaling initiatives</li><li>Lead technical architecture reviews and infrastructure design decisions for banking applications</li><li>Manage on-premise data center resources and infrastructure planning</li><li>Participate in 24/7 on-call rotation and escalation for critical production incidents</li><li>Ensure compliance, security hardening, and disaster recovery procedures for financial systems</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>BSc in Computer Science, Information Technology, Software Engineering, or related field</li><li>5+ years of hands-on SRE, DevOps, or Production Engineering experience</li><li>3+ years of experience leading SRE teams or managing production support operations</li><li>3+ years of hands-on experience managing OpenShift and Kubernetes infrastructure on on-premise infrastructure</li><li>Expert-level experience with Prometheus for monitoring and alerting in production</li><li>Expert-level experience with Grafana for creating comprehensive monitoring dashboards</li><li>Advanced experience with ELK Stack (Elasticsearch, Logstash, Kibana) for logging and log analysis</li><li>Proven experience designing and scaling production systems for high-traffic banking applications</li><li>Deep expertise in Linux/Unix system administration and container networking</li><li>Advanced knowledge of CI/CD automation and deployment strategies</li><li>Hands-on experience with database management, tuning, and optimization on-premises</li><li>Strong experience with infrastructure automation and Infrastructure as Code</li><li>Proven 24/7 production support experience in mission-critical environments</li><li>Experience managing on-premise data center infrastructure</li><li>Proven leadership skills and ability to mentor junior engineers</li><li>Excellent communication skills and ability to present to executive stakeholders</li><li>Experience in financial services or banking sector is highly preferred</li></ul></div>

Senior Site Reliability Engineer (Senior SRE)

<div><p><b>About us:</b></p><p><i>
Where elite tech talent meets world-class opportunities!</i></p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><h3 class="jobSectionHeader"><b>
About the Client:</b></h3><p>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.</p><p>
Position Overview</p><p>
Seeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.</p><p>
Key Responsibilities</p><ul><li>Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support.</li><li>Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques.</li><li>Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions.</li><li>Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems.</li><li>Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow..</li><li>Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes..</li><li>Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction..</li><li>Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment.</li><li>Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations.</li><li>Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards).</li></ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.</li>
<li>Senior Data Scientist: 4&ndash;5 years of hands-on experience in data science roles, with proven ability to mentor junior team members.</li>
<li>Fluency in Arabic and English</li>
</ul><p></p><p><b>
Skills and Expertise</b></p><ul><li>Strong analytical and problem-solving mindset.</li><li>Deep expertise in machine learning algorithms and statistical methods.</li><li>Practical experience with deep learning architectures and techniques.</li><li>Proficient in Python and SQL for data manipulation, analysis, and model development.</li><li>Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.</li><li>Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting.</li><li>Experience with time series analysis using ARIMA, LSTM, and Prophet.</li><li>Familiarity with clustering techniques like k-means, and Gaussian Mixture Models.</li><li>Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders.</li><li>Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost.</li><li>Strong communication skills to present technical concepts to both technical and non-technical audiences.</li><li>Ability to work collaboratively in cross-functional teams.</li><li>Self-driven, highly organized, and capable of handling multiple projects simultaneously.</li><li>Commitment to continuous learning and staying updated with advancements in data science and AI.</li></ul><p><b>
Benefits</b></p><ul>
<li>
Attractive, market-leading salary package.</li>
<li>Clear career advancement path with professional development opportunities.</li>
<li>One-year contract with Xenon7, presenting a significant opportunity for renewal.</li></ul></div>

Senior Data Scientist

<div><p><b>About us:</b></p><p><i>
Where elite tech talent meets world-class opportunities!</i></p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><h3 class="jobSectionHeader"><b>
About the Client:</b></h3><p>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.</p><p><b>
Requirements</b></p><p></p><p><b>
Role Overview</b></p><p>
We are seeking a Lead Data Scientist (Fintech / Banking) with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. The ideal candidate has a strong track record of leading high‑performing teams (5&ndash;10 members), delivering scalable ML solutions, and operating with high agility in fast‑paced environments.</p><p></p><p>
<b>Key Responsibilities</b></p><p><b>
Leadership &amp; Strategy</b></p><ul>
<li>
Lead, mentor, and grow a team of 5&ndash;10 data scientists and ML engineers.</li>
<li>Define the data science roadmap aligned with business, product, and engineering goals.</li>
<li>Drive end‑to‑end ownership of ML models &mdash; from ideation to deployment and monitoring.</li>
<li>Collaborate with cross‑functional stakeholders (Product, Engineering, Risk, Compliance, Business).</li>
</ul><p><b>
Technical Execution</b></p><ul>
<li>
Build and optimize predictive models for credit risk, fraud detection, customer segmentation, churn prediction, and personalization.</li>
<li>Architect scalable ML pipelines using modern data platforms.</li>
<li>Conduct exploratory data analysis, feature engineering, and model validation.</li>
<li>Ensure model governance, fairness, explainability, and regulatory compliance (especially in BFSI).</li>
</ul><p><b>
Operational Excellence</b></p><ul>
<li>
Champion agile methodologies, rapid experimentation, and iterative delivery.</li>
<li>Implement best practices in versioning, CI/CD for ML, and model monitoring.</li>
<li>Translate complex data insights into clear, actionable business recommendations.</li>
</ul><p></p><p><b>
Required Skills &amp; Experience</b></p><ul>
<li>
8+ years of hands‑on experience in Data Science, ML, or Applied AI.</li>
<li>Proven experience leading teams of 5&ndash;10 in high‑velocity environments.</li>
<li>Strong background in fintech, digital banking, payments, lending, or risk analytics.</li>
</ul><p><b>
Expertise in:</b></p><ul>
<li>
Python, SQL</li>
<li>ML frameworks (TensorFlow, PyTorch, Scikit‑Learn)</li>
<li>Cloud platforms (AWS, GCP, Azure)</li>
<li>MLOps tools (SageMaker, MLflow, Kubeflow, Airflow)</li>
<li>Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time‑series forecasting.</li>
<li>Experience working with large‑scale data pipelines and distributed systems.</li>
<li>Strong communication skills with the ability to influence senior stakeholders.</li>
<li>High agility, ownership mindset, and a positive, collaborative attitude.</li>
</ul><p></p><p>
<b>Preferred Qualifications</b></p><ul>
<li>
Experience in credit scoring, fraud analytics, or regulatory‑grade model development.</li>
<li>Exposure to real‑time decisioning systems.</li>
<li>Prior experience in startups or high‑growth fintechs.</li>
</ul><p></p><p>
<b>What We Offer</b></p><ul>
<li>
Opportunity to lead high‑impact data science initiatives in a rapidly scaling fintech environment.</li>
<li>Cross‑functional ownership and autonomy.</li>
<li>Competitive compensation and performance‑based rewards.</li>
<li>Collaborative, innovation‑driven culture.</li></ul></div><p></p>

Lead Data Scientist (Fintech / Banking)

Join Xenon7 and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Xenon7

ABOUT_COMPANY

Site Reliability Engineer (SRE)-Mobile and Internet Platform

Senior Site Reliability Engineer (Senior SRE)

Senior Data Scientist

Lead Data Scientist (Fintech / Banking)