Analyst - IT Systems Engineering

Posted 5 Hours Ago
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2 Locations
In-Office or Remote
Senior level
Fintech • HR Tech • Insurance • Consulting
The Role
Lead design and execution of performance test strategies for web, API, middleware, and enterprise applications. Build and maintain performance frameworks, analyze results, identify bottlenecks, and collaborate with development, infrastructure, and DevOps teams to tune systems. Use observability tools to monitor and correlate metrics, automate tasks with Python and shell, and support capacity planning and scalability assessments. Communicate findings and drive continuous improvement in performance engineering practices.
Summary Generated by Built In
Company:Marsh

Description:

Job Title: Senior Performance EngineerRole 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.

Skills Required

  • Strong experience in performance engineering and performance testing
  • Hands-on expertise with LoadRunner
  • Hands-on expertise with NeoLoad
  • Hands-on expertise with JMeter
  • Hands-on expertise with K6
  • Practical experience with Datadog
  • Practical experience with AppDynamics
  • Good working knowledge of Unix/Linux
  • Hands-on experience with Python for automation and 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
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience
  • 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

Marsh McLennan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.

  • Leave & Time Off Breadth Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
  • Healthcare Strength Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
  • Retirement Support Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.

Marsh McLennan Insights

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The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

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