S&P Global
About the Role
Grade Level (for internal use):
13
S&P Global Ratings
The role:
Director Software Development Engineer in Test
The Team:
This Director-level role leads the
Enginuity-X team (Engineering Excellence)
within the S&P Global Ratings Engineering organization. You will drive
strategic Quality Engineering (QE) transformation , aligning
automation, performance, security, AI, and usability
with business outcomes.
As a key enabler of
Engineering Excellence , you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver
quality at scale .
Key Responsibilities
Automation Strategy:
Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
Performance Engineering:
Establish standards and frameworks for performance, reliability, and scalability testing.
Security & Compliance:
Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
Non-Functional Testing:
Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
AI-Driven Quality:
Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
People Leadership:
Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
Cross-Functional Alignment:
Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
Governance & Metrics:
Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
Talent Enablement:
Develop career paths, training programs, and certification strategies to build future-ready QE talent.
Usability & Accessibility:
Champion inclusive product experiences by promoting usability and accessibility standards.
Required Skills & Experience
15+ years in Software Development Engineering (SDET), including 5+ years in strategic leadership.
Expertise in automation frameworks, performance testing, AI/ML platforms, usability engineering, and accessibility standards.
Proficiency in Java, Python, JavaScript, TypeScript, SQL, and scripting languages.
Experience with observability tools (Splunk, ELK, Grafana), test data management, and analytics platforms.
Strong background in security testing and secure engineering practices.
Hands-on experience with Microsoft Azure, containerization tools, and IaC (Terraform/ARM).
Knowledge of data privacy regulations, masking, and anonymization techniques.
Proven ability to lead cross-functional teams and communicate effectively across technical and business domains.
Preferred Qualifications
Experience in regulated industries (finance, healthcare, telecom).
Exposure to AI/ML model testing and data observability.
Certifications in Azure, Data Engineering, or Quality Engineering frameworks.
Right to work requirements This role is open only for candidates with indefinite right to work within the USA.
Compensation/Benefits Information (US Applicants Only) S&P Global states that the anticipated base salary range for this position is $135,000 – $190,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see benefits information.
About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law.
Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, or for equipment delivery. Review our guidelines, fraudulent domains, and how to report suspicious activity here.
#J-18808-Ljbffr
13
S&P Global Ratings
The role:
Director Software Development Engineer in Test
The Team:
This Director-level role leads the
Enginuity-X team (Engineering Excellence)
within the S&P Global Ratings Engineering organization. You will drive
strategic Quality Engineering (QE) transformation , aligning
automation, performance, security, AI, and usability
with business outcomes.
As a key enabler of
Engineering Excellence , you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver
quality at scale .
Key Responsibilities
Automation Strategy:
Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
Performance Engineering:
Establish standards and frameworks for performance, reliability, and scalability testing.
Security & Compliance:
Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
Non-Functional Testing:
Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
AI-Driven Quality:
Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
People Leadership:
Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
Cross-Functional Alignment:
Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
Governance & Metrics:
Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
Talent Enablement:
Develop career paths, training programs, and certification strategies to build future-ready QE talent.
Usability & Accessibility:
Champion inclusive product experiences by promoting usability and accessibility standards.
Required Skills & Experience
15+ years in Software Development Engineering (SDET), including 5+ years in strategic leadership.
Expertise in automation frameworks, performance testing, AI/ML platforms, usability engineering, and accessibility standards.
Proficiency in Java, Python, JavaScript, TypeScript, SQL, and scripting languages.
Experience with observability tools (Splunk, ELK, Grafana), test data management, and analytics platforms.
Strong background in security testing and secure engineering practices.
Hands-on experience with Microsoft Azure, containerization tools, and IaC (Terraform/ARM).
Knowledge of data privacy regulations, masking, and anonymization techniques.
Proven ability to lead cross-functional teams and communicate effectively across technical and business domains.
Preferred Qualifications
Experience in regulated industries (finance, healthcare, telecom).
Exposure to AI/ML model testing and data observability.
Certifications in Azure, Data Engineering, or Quality Engineering frameworks.
Right to work requirements This role is open only for candidates with indefinite right to work within the USA.
Compensation/Benefits Information (US Applicants Only) S&P Global states that the anticipated base salary range for this position is $135,000 – $190,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see benefits information.
About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law.
Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, or for equipment delivery. Review our guidelines, fraudulent domains, and how to report suspicious activity here.
#J-18808-Ljbffr