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Marsh McLennan

Analyst - IT Systems Engineering

Marsh McLennan Mumbai City, Maharashtra, India

Professional Services · 10,001+ employees

13 h ago Closes today
Mid (2-5 yrs) Full-time India
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About the role

The analyst will be responsible for the engineering, maintenance, and optimization of IT systems. They will ensure system reliability and performance through proactive monitoring and troubleshooting.

What they look for

IT Systems Engineering Systems Analysis IT Infrastructure System Maintenance Troubleshooting

Requirements

Candidates should have a background in IT systems engineering with relevant technical experience. Strong analytical skills and the ability to work in a hybrid environment are required.

Full description

Company:

Marsh

Description:

Job Title: Senior Performance Engineer

Role Summary

We are seeking a highly skilled Senior Performance Engineer with deep expertise in application and infrastructure performance testing, performance engineering, and observability. The ideal candidate will have hands-on experience with industry-standard performance testing tools such as LoadRunner, NeoLoad, JMeter, and K6, along with strong familiarity with observability platforms like Datadog and AppDynamics.

This role requires a strong engineering mindset, solid development skills, and the ability to work closely with application, infrastructure, DevOps, and product teams to ensure systems are scalable, stable, and performant under load. The candidate should also possess good working knowledge of Unix/Linux and Python, along with excellent communication and stakeholder management skills.

Key Responsibilities

  • Design, develop, and execute performance test strategies, scripts, and scenarios for web, API, middleware, and enterprise applications.
  • Analyze performance test results, identify bottlenecks, and provide actionable recommendations for tuning and optimization.
  • Work with development and infrastructure teams to troubleshoot performance issues across application, database, network, and server layers.
  • Use observability tools such as Datadog and AppDynamics to monitor system health, trace transactions, and correlate performance metrics during testing and production incidents.
  • Build and maintain performance testing frameworks and reusable assets to improve efficiency and standardization.
  • Collaborate with engineering teams to support performance improvements during design, development, testing, and release cycles.
  • Participate in capacity planning, scalability assessments, and performance risk analysis.
  • Develop scripts, utilities, and automation in Python and/or shell scripting to support performance engineering activities.
  • Work effectively in Unix/Linux environments for test execution, log analysis, troubleshooting, and automation.
  • Communicate findings, risks, and recommendations clearly to technical and non-technical stakeholders.
  • Support continuous improvement of performance engineering processes, practices, and tooling.

Required Skills and Experience

  • Strong experience in performance engineering and performance testing.
  • Hands-on expertise with:LoadRunnerNeoLoadJMeterK6
  • Practical experience with observability/monitoring tools such as:DatadogAppDynamics
  • Strong engineering and development skills, with the ability to understand application architecture and code behavior.
  • Good working knowledge of Unix/Linux.
  • Hands-on experience with Python for automation, analysis, or tooling.
  • Strong analytical, troubleshooting, and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively across cross-functional teams and manage multiple priorities.

Preferred Qualifications

  • Experience in cloud and microservices-based environments.
  • Knowledge of CI/CD pipelines and integrating performance tests into release workflows.
  • Familiarity with APM, log analytics, distributed tracing, and synthetic monitoring.
  • Experience with database and middleware performance analysis.
  • Exposure to containerized environments such as Docker and Kubernetes.

Education

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.