Lead Performance Engineer

At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers ‘Fly Better’. Join the Emirates Group IT Team in Dubai.  Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, were always at the forefront, pushing boundaries. Were on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world’s largest international airline and become a vital part of our cutting-edge information and technology team as "Lead Performance Engineer".

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 be responsible for:

• Participate in all phases of the Performance Engineering lifecycle: Requirement Gathering, Design, Development, Scripting, Execution, Analysis, Troubleshooting, Tuning, and Reporting.


• Collaborate with Architecture, Solution Design, and Development teams to design for Performance.


• Ensure 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.

Qualifications:

• Information Technology or Other: 5+ Years of work experience.


• Degree or Honours (12+3 or equivalent) : Degree in a relevant field such as Computer Science, Computer Engineering, or Software Engineering.

Experience:

• 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 analyze 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 a passion for exploring and learning new technologies in Data analytics and Performance engineering space.

Key Technologies/Tools Performance Testing: Loadrunner Enterprise, Gatling Enterprise, Gatling OpenSource Observability: Appdynamics, Prometheus, Grafana, Azure (Dashboards, Insights), VisualVM/JMC, OpenTelemetry, Oracle OEM Big Data & distributed processing: Spark, Kafka, Hadoop (HDFS, Hive, H-Base, Oozie), Azure (ADLS, DataBricks, Azure Data Factory, Delta Lake), Elasticsearch, AVRO / PARQUET file formats Data Analysis, Modelling, and Reporting: Snowflake, Oracle, SQL, MicroStrategy, Power BI Cloud Technologies: Microsoft Azure (VMs, AKS, ADLS, VPC) and Cloudera Data Platform Integration and Messaging: Streaming (e.g. Spark Streaming), TIBCO, Kafka, Solace CI/CD: GIT, Bitbucket, Jenkins, Azure DevOps, Kubernetes, Docker, SonarQube Languages: Java, Python, Scala, Bash.