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Salary
≈ $8.5k – $22k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. Campbell Global scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Campbell Global brings more than three decades of experience and leadership to sustainable timberland and natural resource investment management.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Design, develop, and execute load, stress, soak, and scalability tests for contact center applications (voice/IVR, chat, APIs) using JMeter, BlazeMeter, Hammer, and Cyara.
  • Build and maintain reusable performance test scripts, scenarios, and test data for Amazon Connect and related AWS-hosted services.
  • Analyze test results and system telemetry to identify bottlenecks, and partner with development and infrastructure teams on performance tuning and remediation.
  • Define and track performance KPIs, guardrails, and acceptance criteria to prevent regressions across releases.
  • Develop and maintain performance test infrastructure and automation integrated into CI/CD pipelines (e.g., Jenkins).
  • Partner with developers, product owners, and operations teams to plan testing activities, troubleshoot production issues, and validate capacity for peak events.
  • Produce clear performance reports and recommendations for technical and business stakeholders.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts with 3+ years of applied experience.
  • Hands-on experience in performance and load testing using JMeter and/or BlazeMeter.
  • Experience testing contact center / telephony applications (voice, IVR, chat) and familiarity with tools such as Hammer and Cyara.
  • Experience with AWS cloud services and Amazon Connect (or comparable cloud contact center platform).
  • Proficient in at least one object-oriented programming language and SQL; ability to write and debug test automation code.
  • Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins) and using version control (Git/Bitbucket).
  • Experience analyzing performance metrics and using observability/monitoring tools (e.g., CloudWatch, Grafana, Dynatrace, or equivalent).
  • Hands-on experience using enterprise-authorized AI-assisted development tools, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to security and resiliency expectations.
  • Experience working in an Agile/Scrum team, including documenting test scenarios, executing tests, and reporting results.

Preferred qualifications, capabilities, and skills

  • Experience with Cyara and Hammer test automation for contact center assurance.
  • Familiarity with Amazon Connect contact flows, Lambda, and related AWS services (Polly, Lex, CloudWatch).
  • Experience using AI tools (e.g., GitHub Copilot) to accelerate development and maintenance of performance test suites.
  • Working knowledge of containerized workloads (ECS/EKS) and autoscaling concepts.
  • Proficient with Jira, Confluence, and reporting/dashboarding tools.
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