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Performance Test Engineer- JMeter, Splunk (Remote)

72% Flex
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 
Connecticut (USA)

Offer summary

Qualifications:

BS or higher in Computer Science or related field, 5+ years experience in performance engineering roles, Deep knowledge of Java and build automation tools, Expertise in identifying bottlenecks and load testing, Experience with cloud platforms and databases.

Key responsabilities:

  • Analyze performance, optimize bottlenecks, plan capacities
  • Support & manage testing environment, automate for efficiency
  • Diagnostics, troubleshoot issues, drive optimal performance outcomes
  • Stay involved in infrastructure solutions and capacity planning
  • Exercise creativity, judgment in conceiving & delivering initiatives
Conexess Group logo
Conexess Group Information Technology & Services SME https://www.conexess.com/
51 - 200 Employees
See more Conexess Group offers

Job description

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Your missions

Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
 
Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.
 
Conexess Group is aiding a large healthcare client in their search for a Performance Test Engineer in a remote capacity. This is a long-term opportunity with a competitive compensation package.
 
Responsibilities:
  • The ideal candidate will have a passion for taking on performance analysis and code optimization challenges across multiple application domains with a focus on the following objectives:
  • End-to-End Performance Analysis: Analyze enterprise-level distributed environments and optimize performance bottlenecks in both our real-time data streaming and ETL warehouse application stacks.
  • Capacity Planning & Optimization: Strategize capacity needs, identify trends and propose design recommendations to ensure resiliency and scalability.
  • Environment Ownership: Manage and support the performance testing environment, and drive the initiatives that lead to optimal throughput and improved customer experiences.
  • Automate for Performance: Design and build efficient process and automation tests for every release build.
  • Developer Support: Diagnostics, reverse-engineering microservices and NeoLoad/JMeter script development to deliver performance outcomes at scale.
  • Supports the design, analysis, development and implementation of engineering infrastructure solutions of projects and/or work requests for complex business solutions.
  • Troubleshoots and proceeds on resolving infrastructure compatibility issues based on system architecture, project requirements, customer expectations, etc.
  • May be involved in the creation of design specifications and the development and application of utility programs and may resolve infrastructure compatibility problems as they arise.
  • Responsibilities may include risks assessments, partnering on capacity planning, budget forecasting, and the diagnosis and correction of application/network problems.
  • Technologies span mainframe, midrange, desktop, server, network data, voice, messaging, web, database, and output/receiving. Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives. 
 
Qualifications:
  • BS or higher in Computer Science or a related technical discipline, or equivalent practical experience
  • 5+ years in a performance engineering role analyzing, troubleshooting and automating performance workloads on large scale systems
  • 5+ years of experience with build automation tools utilizing CI/CD pipelines
  • Deep knowledge of Java and its internal (e.g. JVM performance tuning, GC mechanisms, etc.) and familiarity with Java Profiling (e.g. JProfiler, YourKit, Glowroot)
  • Outstanding attention to detail and communication skills
  • Experience identifying bottlenecks across various layers of web application stacks (client, network, backend)
  • Hands-on experience in load testing tools like Jmeter, Loadrunner, and other open source products
  • Experience working and optimizing large scale distributed applications on hybrid cloud platforms
  • Experience building frameworks and driving architecture design for testability
  • Expert level understanding of the key performance metrics associated with throughput, latency, memory, CPU, disk & network and the ability to debug bottlenecks associated with any of them
  • Expertise with Oracle, NoSQL (MongoDB, Redis), and SQL Server database analysis and tuning
  • Thorough knowledge of OpenShift or similar experience in containerized design patterns
  • Experience with Fuse, Kafka and other Red Hat products preferred
  • History of migrating or transforming legacy customer solutions to the cloud a plus
  • Tools: Yourkit, JProfiler, Glowroot, Dynatrace, TeamQuest, JProbe, Sitescope, Splunk, Memory Analyzer, TDA, Loadrunner, JMeter, Noeload, Gatling, CA Wiley Introscope, Grafana, IBM GC Analyzer.
  • Cloud & DevOps: AWS API Gateway, AWS CloudFormation, AWS Console, AWS Lambda, Amazon CloudWatch, Amazon EC2 Compute Service, Amazon Route 53, Aurora, Amazon EBS, Amazon Elastic Container Service(ECS) Fargate, Amazon Simple Storage Service (S3), DynamoDB and Terraform (IaC).
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Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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