Lead Performance Engineer

Department Icon IT / Software Development & Related
Posted: 16 hours ago
3-5 years
Dubai, UAE
IT / Software Development & Related
full time
Full Time
Closes 2 Jan 2027

Posted: 16 hours ago
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Job Description

Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
IT - Software & Web Development
Company Industry
Aviation, Airlines & Aerospace
Job purpose

At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Groups digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.

As a lead performance engineer, you will be working within the Enterprise Data & Analytics space. The lead performance engineer is responsible for ensuring the performance, availability, scalability, and reliability of a suite of products including big data technologies. The role will collaborate with multiple stakeholders to develop a fit-for-purpose performance engineering and testing strategy that covers all aspects of data products, including cross-program dependencies. They will also drive a performance-driven culture and enable the engineering community to test earlier and test faster, thereby enabling faster time to market and built-in quality.

In this role you will:
  • Participate in all phases of the performance engineering lifecycle: requirement gathering, design, development, scripting, execution, analysis, troubleshooting, tuning, reporting.
  • Collaborate with architecture, solution design, and development teams to design for performance.
  • Ensure non-functional requirements (NFRs) are defined for features and components, and ensure every sprint team has NFRs in their backlog.
  • Understand non-functional requirements effectively and build a test strategy and test translating into specific design and testing goals with required workload models.
  • Understand big data, data warehouse, and BI applications, including the underlying architecture and technology stack, to recommend appropriate strategies and ensure the system performance is within defined SLAs.
  • Collaborate with feature teams to review and implement the performance improvement suggestions and tuning opportunities provided as part of the performance testing analysis.
  • Work with observability teams to improve the visibility of big data and BI systems.
  • Evaluate testability of features/solutions. Work with architecture and design to build testability into the architecture.
  • Work with site reliability and platform engineers and application teams to resolve, diagnose, and identify bottlenecks.
Qualification

To be considered for the role, you must meet the below requirements:

  • Degree in a relevant field such as computer science, computer engineering, or software engineering.
  • 5+ years’ experience in performance engineering, including testing, profiling, and tuning, for highly available and scalable mission-critical applications.
  • 3+ years of experience in leading the performance engineering practice for a suite of products, including big data, data warehouse, BI, and real-time streaming applications.
  • Knowledge of data lake and data warehouse technologies with expertise in performance analysis and tuning data engines.
  • Expertise in working with large cloud service platforms and solutions (e.g. Azure, Cloudera).
  • Expertise in reviewing architecture and design principles, and providing recommendations for improving application/system performance. Advanced knowledge of architecture and design concepts, including latest trends in technology.
  • Proficient in detecting performance issues leveraging commercial and open source load testing tools, APM tools, code profilers, and observability frameworks.
  • Vast knowledge in building workload models for complex systems using analytics and user-pattern analysis.
  • Expertise in building and tuning complex BI dashboards.
  • Proficient in at least one coding/scripting language.
  • Hands-on operational experience working with UNIX and Windows environments, and troubleshooting environment, OS, or networks using packet sniffers and network monitoring tools.
  • Sound knowledge of commercial and open source log analytics tools.
  • Knowledge of chaos engineering, application reliability, and disaster recovery testing.
  • Knowledge of DevOps and how continuous performance testing can be implemented using load testing tools, APM tools, code profilers, etc.
Knowledge/skills:
  • Experience working with stakeholders across IT and business to analyse and interpret business requirements, and translate them to technical requirements.
  • Strong oral and written communication skills with demonstrable experience communicating with all technology partners, be it architecture, design, engineering, operations, or infrastructure management.
  • Can collaborate with multiple teams/programs to deliver solutions interactively.
  • Excellent technical, interpersonal, analytical, and problem-solving skills.
  • Ability to multi-task, prioritize, and manage time.
  • Ability to adapt and learn quickly in a complex and dynamic environment.
  • Self-starter and has passion for exploring and learning new technologies in data analytics and performance engineering space.
Technology domain key technologies/tools
  • Performance testing: LoadRunner Enterprise, Gatling Enterprise, Gatling OpenSource
  • Observability: Dynatrace, Prometheus, Grafana, Azure (Dashboards, Insights), OpenTelemetry, Oracle OEM
  • Big data & distributed processing: Spark, Kafka, DataBricks, Azure Data Factory, Delta Lake, Elasticsearch, Iceberg, DuckDB, Fabric
  • AI platforms: Claude Code, Azure AI Search, Fabric Agents, Databricks Genie, Dataiku
  • Data analysis, modelling and reporting: Snowflake, Oracle, SQL, MicroStrategy, Power BI, Fabric Realtime
  • Cloud technologies: Microsoft Azure
  • Integration and messaging: Spark Streaming, Kafka, Solace, Eventhub
  • CI/CD: Git, GitLab, Azure DevOps, Kubernetes, Docker, SonarQube
  • Languages: Java, Python, Scala, Bash
Salary & benefits

Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotel stays around the world.

About the Company

A fast-growing international airline with one of the youngest fleets in the sky and more than 400 awards for excellence worldwide.

Skills

Big Data TechnologiesPythonDevopsJavaKubernetesLoad TestingTestingUnixWeb DevelopmentOracleCloudSql

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About Company

Emirates (Arabic: طَيَران الإمارات DMG: Ṭayarān Al-Imārāt) is one of the two flag carriers of the United Arab Emirates (the other being Etihad Airways). Based in Garhoud, Dubai, the airline is a subsidiary of The Emirates Group, which is owned by the government of Dubai's Investment Corporation of Dubai.[3] It is the largest airline in the Middle East,[4] operating over 3,600 flights per week from its hub at Terminal 3 of Dubai International Airport. It operates to more than 150 cities in 80 countries across six continents on its fleet of nearly 300 aircraft.[5] Cargo activities are undertaken by Emirates SkyCargo.[6]

Emirates is the world's fourth-largest airline by scheduled revenue passenger-kilometers flown.[7] It is also the second-largest in terms of freight tonne-kilometers flown.

During the mid-1980s, Gulf Air began to cut back its services to Dubai. As a result, Emirates was founded on 15 March 1985, with backing from Dubai's royal family and its first two aircraft provided by Pakistan International Airlines. With $10 million in start-up capital, it was required to operate independently of government subsidies. Pakistan International Airlines also provided free training facilities to Emirates' cabin crew at Karachi Airport. The airline was founded by Ahmed bin Saeed Al Maktoum, the airline's present chairman. In the years following its founding, the airline rapidly expanded both its fleet and its destinations. In October 2008, Emirates moved all of its operations at Dubai International Airport to Terminal 3.

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