Principal, Software Engineering: Software Development Test (SDET)

theocc

United States

On-site

USD 170,000 - 230,000

Full time

2 days ago
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Job summary

OCC is seeking a Performance Engineering Principal to define and lead performance testing, automation, and quality engineering strategies across critical systems. This role blends technical architecture with hands‑on engineering, shaping cloud‑native, containerized, and event‑driven practices for regulatory‑compliant performance excellence.

The ideal candidate brings 10+ years of hands‑on performance testing in AWS, strong automation skills, and deep knowledge of CI/CD, Jenkins, and

Qualifications

  • 10+ years architecting and executing performance testing in AWS cloud environments.
  • Strong experience with open‑source tools (Python, Selenium, JMeter, Java, Cucumber).
  • Knowledge of Kafka and Kubernetes with focus on performance and resiliency.
  • Experience with UC4 (Automic) scheduling and enterprise reporting.
  • Proven LoadRunner expertise for enterprise tests and tool evaluation.

Responsibilities

  • Define and lead enterprise‑scale performance testing and automation strategy.
  • Mentor mid‑level and senior engineers in performance testing methodologies.
  • Present findings to leadership and drive architectural improvements.
  • Collaborate on CI/CD pipelines and tool integrations across teams.

Skills

Performance engineering
Automation engineering
Cloud architecture
Kubernetes
Java
Python
Selenium
JMeter
LoadRunner
CI/CD
Leadership

Education

B.S. in Computer Science or related field
10+ years IT experience

Tools

Gatling
Cucumber
Protractor
ServiceNow ATF
Docker
SQL
Postman
Jenkins
GitHub/GitLab CI
Oracle/DB2

Job description

OCC's Enterprise Quality Engineering organization is seeking a Performance Engineering Principal to define and lead the performance testing, automation, and quality engineering strategy across OCC's critical clearing, risk, and settlement systems. This is a technical architect and thought‑leadership role for someone who can design performance engineering practices at enterprise scale for cloud‑native, containerized, and event‑driven systems, while ensuring the rigor, resilience, and regulatory compliance expected of critical financial market infrastructure.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

The ideal candidate combines deep performance engineering expertise (LoadRunner, JMeter, Gatling) with strong automation engineering skills (Selenium, Cucumber, Cypress, Protractor, ServiceNow ATF) and a working knowledge of modern cloud and container architecture (AWS, Kubernetes, Kafka). Experience in regulated financial environments and familiarity with compliance frameworks such as PGP is highly valued.

Supervisory Responsibilities:

None

Qualifications:
  • 10+ years of Extensive hands‑on experience architecting and executing performance testing in AWS cloud environments.
  • 7+ years of strong working knowledge in agile testing practices and open‑source tools including Python, Selenium, JMeter, Java, and Cucumber.
  • Solid understanding of Kafka and Kubernetes architecture, including performance and resiliency implications of event‑driven and containerized/orchestrated systems.
  • Experience with UC4 (Automic) job scheduling/orchestration and enterprise reporting outputs.
  • Strong, proven experience with LoadRunner for enterprise‑scale performance testing.
  • Evaluate and recommend performance testing tools and APM platforms (Splunk, Dynatrace, AppDynamics)
  • Working knowledge of relational databases and query tools (SQL Server, Oracle, DB2).
  • Strong programming/scripting experience in Java, JavaScript, VBScript, and Python.
  • Experience with ETL tools such as Alteryx and reporting/visualization tools such as Tableau.
  • Strong understanding of CI/CD pipelines and tools such as Jenkins, GitHub, GitLab CI, or Azure DevOps.
  • Proficiency with test management and defect tracking tools (Jira, Zephyr, SpiraTest), including tool integrations.
  • Strong understanding of containerization (Docker) and orchestration (Kubernetes) technologies. Strong hands‑on experience with Linux operating systems.
  • Experience establishing a performance engineering Center of Excellence or maturity model across a large enterprise.
  • Present findings to leadership and drive architectural improvements
  • Mentor and guide mid-level and senior engineers on performance testing and failover testing methodologies
Technical Skills:
  • Familiarity with AI/ML-augmented testing tools for automated test case generation, self‑healing automation, and predictive defect analysis.
  • Experience with API and contract testing (Postman, RestAssured, Pact) and service virtualization for testing complex distributed and microservices architectures.
  • Understanding of Site Reliability Engineering (SRE) principles, SLIs/SLOs/SLAs, and how performance engineering feeds operational resilience metrics.
  • Experience with observability/APM platforms (Splunk, Dynatrace, AppDynamics, AWS Vantage, Logic Monitor) and correlating test results with production telemetry.
  • Testing Experience in multi region (primary/secondary/tertiary) hybrid architecture across cloud and on‑premise
  • Familiarity with FinOps or cost‑aware performance engineering practices in cloud environments.
  • Experience testing critical financial market infrastructure (clearing, settlement, risk management, or exchange systems) or other highly regulated, low‑latency, high‑availability environments.
  • Experience establishing a performance engineering Center of Excellence or maturity model across a large enterprise.
Education and/or Experience:
  • B.S. Degree in Computer Science, an analytical field, or equivalent practical experience required.
  • 10+ years of experience in the IT industry with 5+ years in Quality Engineering, tool architecture and orchestration including opensource and commercial toolset.
  • 7+ years of experience in Agile methodology.
  • 7+ years of experience in integration of Jira and Test management t
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