Full-Time

Lead SDET/ Automation QA Engineer

Posted on 4/17/2025

FICO

FICO

1,001-5,000 employees

No salary listed

Senior

Bengaluru, Karnataka, India

Category
QA & Testing
Automation Testing
Performance Testing
Quality Assurance
Required Skills
Kubernetes
Python
Grafana
Git
Apache Kafka
Java
Docker
TypeScript
Prometheus
SCRUM
Selenium
Linux/Unix
Requirements
  • Bachelor’s/Master’s degree in Computer Science or related disciplines.
  • 5+ years experience as a software developer/system/product/performance engineer.
  • Hands-on Automation experience with expertise in writing tests, planning approaches and guiding team members.
  • Experience with creating, documenting, and executing performance test plans and test cases.
  • Hands-on experience of developing and executing functional and non-functional tests.
  • Performance Testing experience with concepts and methodologies such as load tests, spike tests, endurance tests, and scalability tests.
  • Performance monitoring and measurement for microservices such as response time, latency, throughput, memory, CPU utilization, network traffic using monitoring and data-visualization tools like Prometheus, Grafana, AWS CloudWatch, etc.
  • Performance test statistics gathering and formal reporting of test results and defects tracking.
  • Performance tuning and identifying possible bottlenecks in an enterprise-level cloud application.
  • Experience in deploying, administering, maintaining and upgrading Kubernetes based systems on a cloud provider like AWS/GCP/Azure.
  • Solid or expertise in at least one program language (e.g., Java, and Python, TypeScript, Shell or other scripted language).
  • Solid knowledge of test automation and performance tools such as Selenium, Cucumber, and JMeter.
  • Working experience of the following is a plus (Unix, Dockers, Virtual Machines, Kafka, Ignite, GIT and CI/CD tools).
  • Experienced and passionate with functional and non-functional testing, automated regression, and test integration.
  • Comfortable with Scrum software methodology.
  • Ability to work well as part of a geographically diverse team.
  • Ability to multitask, prioritize, show initiative, and respond quickly in a fast-paced collaborative environment.
Responsibilities
  • Lead the design, development, and execution of various forms of tests for solutions supporting the capabilities of a large world-class enterprise-level platform.
  • Hands-on development and execution of functional and non-functional tests covering high performance, high availability, interoperability, and reliability.
  • Develop automated tests, utilities, and test harness in support of test automation and performance testing.
  • Evaluate new testing frameworks and raise quality standards continuously.
  • Design E2E performance tests based on requirements adhering to standards and guidance from architecture team members, analytics, components, and solutions engineer leaders.
  • Measure E2E performance for solutions/applications. Analyze and highlight performance hotspots and work with architect and engineer leaders to determine tuning and changes to improve performance and functionalities.
  • Develop tools and test automation to support CI/CD, performance tests, metrics collection and reporting.
  • Install applications and databases relevant to automation and performance testing.
  • Participate with Senior engineers and Product Management to develop performance test plans, create epics and stories, and define their acceptance criteria.
  • Serve as a source of technical expertise, mentor junior engineers, and raise quality standards.
  • Manage ambiguity and moderate levels of complexity, and proactively discover performance issues.
  • Share ownership in quality, test automation, continuous integration and delivery, and production operation.
  • Quickly escalate challenges and risks incurred during the projects.
  • Demonstrate technical leadership through KTs, presentations, white papers and event participation.
Desired Qualifications
  • Working experience of the following is a plus (Unix, Dockers, Virtual Machines, Kafka, Ignite, GIT and CI/CD tools).

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

San Jose, California

Founded

1956

Simplify Jobs

Simplify's Take

What believers are saying

  • Rising demand for AI-driven solutions presents growth opportunities for FICO.
  • FICO can capitalize on the trend of increasing consumer focus on credit health.
  • Integration of credit risk data into platforms offers new opportunities for FICO.

What critics are saying

  • Behavioral biometric authentication may reduce demand for traditional credit scoring models.
  • Adoption of 3DS 2.0 could challenge FICO's existing fraud prevention tools.
  • Bloomberg's credit risk data integration may impact FICO's market share.

What makes FICO unique

  • FICO leverages AI to enhance fraud alert tools for credit unions.
  • FICO's credit scoring services have seen increased demand during the pandemic.
  • FICO partners with PSCU to develop innovative fraud alert tools.

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Benefits

Health Insurance

Flexible Work Hours

Professional Development Budget

Wellness Program

Remote Work Options

Company News

Business Insider
Oct 22nd, 2021
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Announcement: Moody's says FICO's $300 million term loan raises leverage but also enhances liquidity<div class="spacer-5"></div><a class="btn-more" href="https://www.moodys.com/page/viewresearchdoc.aspx?docid=PR_456911cid=7QFRKQSZE021" target="_blank" rel="noopener">Read the full article at Moody's</a>

PYMNTS
Nov 19th, 2020
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Credit unions (CUs) have been riding high in recent years, with one October report finding that global CU membership hit an all-time high of 291 million last year.

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Nov 17th, 2020
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This Deep Dive examines how FIs are revamping their fraud-fighting approaches, leveraging tools such as behavioral biometric authentication to verify payments.

The Fintech Times
Nov 10th, 2020
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PYMNTS
Nov 3rd, 2020
Bloomberg To Incorporate Credit Risk Data

Bloomberg customers will now be able to use the news site's terminal to look at Credit Benchmark's credit risk data, which comes from risk views of the world's largest financial institutions, according to a press release.