30 Monitoring Performance jobs in the United Arab Emirates

We are seeking a skilled Monitoring Engineer to join our team. This is an exciting opportunity for a professional with experience in monitoring and ITIL processes.

The ideal candidate will have a strong understanding of APM technologies, including AppDynamics and Splunk, as well as good knowledge of PowerBI, ServiceNow reporting module, Confluence, and Jira for data extraction and dashboard creation.

Overall objectives

To ensure end-to-end visibility of application health performance and user experience across critical business services.

To implement and manage modern APM tools that support real-time insights transaction tracing and deep diagnostics of application behaviour.

To support performance engineering incident prevention and rapid root cause analysis of application-related issues.

To partner with DevOps development and infrastructure teams in creating a performance-centric culture backed by actionable telemetry.

Role specific responsibilities

Implement configure and manage enterprise-grade APM tools across the application landscape.

Build dashboards alert policies and SLA-based thresholds for business-critical applications.

Enable distributed tracing and service maps to visualise and diagnose performance across complex dependencies.

Collaborate with application owners and development teams to address recurring issues and improve code-level performance.

Ensure seamless integration of APM tools with CI/CD pipelines and incident response workflows.

Lead performance monitoring efforts during major application releases or seasonal peak loads.

Conduct APM health checks and ensure consistent telemetry coverage across environments (dev test prod).

General functional responsibilities

Maintain monitoring standards and documentation including runbooks dashboards and escalation guides.

Assist in defining and tracking service-level objectives (SLOs) and service-level agreements (SLAs).

Contribute to post-incident reviews and performance retrospectives to enhance visibility and reduce MTTR.

Support automation of alert routing event correlation and ticket enrichment using observability data.

Keep abreast of trends in application monitoring including OpenTelemetry adoption and AI-powered diagnostics.

Support out-of-hours performance troubleshooting during P1/P2 incidents as part of a rotating schedule.

Qualifications :

Core competencies required

In-depth experience with leading APM platforms such as Dynatrace AppDynamics New Relic Instana or Datadog APM.

Strong understanding of distributed applications microservices container orchestration (Kubernetes) and service mesh technologies.

Skilled in analysing transaction traces identifying bottlenecks and pinpointing slow database calls or code-level inefficiencies.

Proficient in synthetic monitoring real user monitoring (RUM) and load testing techniques.

Familiarity with telemetry pipelines correlation of metrics/logs/traces and service-level indicators (SLIs).

Capability to use data to produce baselines detect anomalies and support proactive performance tuning.

Remote Work :

No

Employment Type :

Full-time

Senior Engineer- Application Performance Monitoring at First Abu Dhabi Bank (FAB).

Join to apply for the Senior Engineer- Application Performance Monitoring role at First Abu Dhabi Bank (FAB).

Join the UAE's largest bank and one of the world's largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.

• To ensure end-to-end visibility of application health, performance, and user experience across critical business services.
• To implement and manage modern APM tools that support real-time insights, transaction tracing, and deep diagnostics of application behaviour.
• To support performance engineering, incident prevention, and rapid root cause analysis of application-related issues.
• To partner with DevOps, development, and infrastructure teams in creating a performance-centric culture backed by actionable telemetry.
• Implement, configure, and manage enterprise-grade APM tools across the application landscape.
• Build dashboards, alert policies, and SLA-based thresholds for business-critical applications.
• Enable distributed tracing and service maps to visualise and diagnose performance across complex dependencies.
• Collaborate with application owners and development teams to address recurring issues and improve code-level performance.
• Ensure seamless integration of APM tools with CI/CD pipelines and incident response workflows.
• Lead performance monitoring efforts during major application releases or seasonal peak loads.
• Conduct APM health checks and ensure consistent telemetry coverage across environments (dev, test, prod).
• Maintain monitoring standards and documentation including runbooks, dashboards, and escalation guides.
• Assist in defining and tracking service-level objectives (SLOs) and service-level agreements (SLAs).
• Contribute to post-incident reviews and performance retrospectives to enhance visibility and reduce MTTR.
• Support automation of alert routing, event correlation, and ticket enrichment using observability data.
• Keep abreast of trends in application monitoring, including OpenTelemetry adoption and AI-powered diagnostics.
• Support out-of-hours performance troubleshooting during P1/P2 incidents as part of a rotating schedule.

• In-depth experience with leading APM platforms such as Dynatrace, AppDynamics, New Relic, Instana, or Datadog APM.
• Strong understanding of distributed applications, microservices, container orchestration (Kubernetes), and service mesh technologies.
• Skilled in analysing transaction traces, identifying bottlenecks, and pinpointing slow database calls or code-level inefficiencies.
• Proficient in synthetic monitoring, real user monitoring (RUM), and load testing techniques.
• Familiarity with telemetry pipelines, correlation of metrics/logs/traces, and service-level indicators (SLIs).
• Capability to use data to produce baselines, detect anomalies, and support proactive performance tuning.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Banking

Note: Referrals increase your chances of interviewing at First Abu Dhabi Bank (FAB) and getting notified about related roles.

Senior Engineer- Application Performance Monitoring

Join to apply for the Senior Engineer- Application Performance Monitoring role at First Abu Dhabi Bank (FAB)

Senior Engineer- Application Performance Monitoring

Join to apply for the Senior Engineer- Application Performance Monitoring role at First Abu Dhabi Bank (FAB)

Get AI-powered advice on this job and more exclusive features.

Join the UAE's largest bank and one of the world's largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.

Join the UAE's largest bank and one of the world's largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.

Job Description

Overall objectives

• To ensure end-to-end visibility of application health, performance, and user experience across critical business services.
• To implement and manage modern APM tools that support real-time insights, transaction tracing, and deep diagnostics of application behaviour.
• To support performance engineering, incident prevention, and rapid root cause analysis of application-related issues.
• To partner with DevOps, development, and infrastructure teams in creating a performance-centric culture backed by actionable telemetry.

Role specific responsibilities

General functional responsibilities

Qualifications

Core competencies required

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Finance

Industries

Banking

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Job Title: Data Expert

At our organization, we are seeking a talented Data Expert to join our team. As a key member of our data science team, you will play a vital role in helping us make informed decisions by leveraging data insights and analysis.

Key Responsibilities:

• Design and implement advanced statistical models to analyze complex data sets.
• Develop and maintain databases to store and manage large datasets.
• Collaborate with cross-functional teams to identify business needs and develop solutions.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.

Required Skills and Qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years of experience in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Experience with Excel, Tableau/Looker Studio, SQL, and programming languages such as Python and R.
• Storytelling and data visualization skills.
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.

Preferred Qualifications:

• Master's degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark/Big Query.

Data Analysis Opportunity

• Collect, examine, and interpret data to reveal trends and patterns.
• Create clear visual reports based on data analysis and provide actionable recommendations.
• Work with large datasets using statistical methods.

• Degree or equivalent in a related field.
• Previous experience as a Data Analyst is preferred but not essential.
• Proficiency in Microsoft Office (especially Excel) and programming languages such as SQL, R, or Python is advantageous.

Benefits:

Join our team and develop your skills while contributing to our success.

Data Analysis Specialist

We are seeking a skilled data analysis specialist to join our team. The ideal candidate will have expertise in developing and implementing data-driven solutions.

The successful candidate will work closely with stakeholders to identify business needs and develop effective strategies to address them.

• Key Responsibilities:
• Develop and implement data analysis models to inform business decisions
• Analyze large datasets to identify trends and patterns
• Design and implement data visualization tools to communicate insights effectively
• Collaborate with cross-functional teams to integrate data analysis into business processes

Required Skills:

• Advanced knowledge of statistical techniques and machine learning algorithms
• Experience with data visualization tools such as Tableau or Power BI
• Strong programming skills in languages such as Python or R
• Ability to communicate complex data insights to non-technical stakeholders

Benefits:

• Opportunity to work on challenging projects and collaborate with experienced professionals
• Professional development opportunities, including training and mentorship
• A dynamic and inclusive work environment

Collect and analyze complex data to inform strategic business decisions.

• Analyze large datasets from various sources to identify trends and insights.
• Develop innovative solutions to meet stakeholder needs and drive business outcomes.
• Create automated reports, predictive models, and data visualizations.
• Communicate findings effectively to both technical and non-technical audiences.

• Bachelor's degree in computer science, mathematics, statistics or related field.
• Experience with SQL, Python, or R programming languages and statistical analysis techniques such as regression and clustering.
• Excellent problem-solving skills, attention to detail, and ability to work under pressure.

• Opportunity to work on diverse projects and collaborate with cross-functional teams.
• Professional development and training opportunities to enhance skills and knowledge.
• A dynamic and supportive work environment that fosters growth and innovation.

• Analyze complex data to identify trends and insights.
• Develop innovative solutions to meet stakeholder needs.
• Communicate findings effectively to both technical and non-technical audiences.

We are seeking a skilled Quantitative Researcher to join our team.

• Our ideal candidate will have extensive experience in market research and strategy implementation, as well as strong analytical and problem-solving skills.

Key Responsibilities:

• Conduct comprehensive market research to identify new trading opportunities;
• Design and implement effective trading strategies based on market research findings;
• Perform thorough analysis of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions;
• Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies.

Qualifications:

• 2+ years of experience in quantitative research/trading with specialization in spreads/option strategies;
• Experience with market-making trading strategies;
• Strong knowledge of statistical analysis, data mining, and predictive modeling;
• Understanding of market microstructure;
• Experience with using L2/L3 market data for research;
• Exceptional quantitative and mathematical skills, adept problem-solving;
• Proficient in any research-oriented programming language (Python preferred) with ability to write efficient code;
• Strong collaborative spirit, work ethics, and determined drive for success, with ability to work both independently and as part of a team;
• Strong communication skills with ability to clearly explain complex ideas.

Preferred Qualifications:

• Advanced degree (PhD or Masters) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or a related field;
• Good programming skills in programming languages like C/C++ or Rust.

Benefits:

• Full-time employment opportunity;
• Remote work option available;
• Potential for career growth and professional development.

Contact Information: