Morningstar
Sr. Software Development Engineer in Test, Marketing Platform Automation
Be an Early Applicant
As a Senior SDET, you'll build automated testing solutions for various systems, ensuring reliability in a data-heavy backend role. You'll influence release quality and utilize AI in testing practices.
Job Overview
As a Senior SDET on PitchBook's Marketing Platform Automation team, you will design and build modern automated testing solutions that ensure the reliability, scalability, and accuracy of the systems powering our global Marketing and Revenue ecosystem. This is a backend-focused, data-heavy testing role where you'll work on distributed systems, APIs, and integrations (Marketo, Salesforce, Snowflake, Workato).
Your work will directly influence release quality, developer velocity, and the stability of mission-critical workflows across lead orchestration, revenue analytics, and marketing automation.
This role also plays a key part in our shift toward AI-enabled and agentic testing practices. You will help define how engineers leverage AI coding agents to generate test cases, refactor brittle tests, detect edge cases, and improve coverage-while still ensuring human oversight, strategic thinking, and quality ownership remain central to the testing discipline.
Team Overview
Your responsibilities span across the Marketing as well as Sales & CS Platform, each of which are cross-functional teams consisting of product management, product ownership, and engineers who are responsible for our core Revenue Technology stack.
Outline of Duties and Responsibilities
Scalable, reliable automation frameworks in Python, Java, or JavaScript that support end-to-end validation of distributed systems• API, backend, and data-pipeline test suites designed for maintainability, clarity, and long-term platform evolution• High-signal tests that surface failure modes early, accelerate developer feedback loops, and reduce production defects• Test suites that integrate seamlessly into CI/CD pipelines running on AWS/GCP, Kubernetes, and containerized infra• Monitoring and alerting tools (Prometheus, Grafana, ELK) to detect regressions, performance issues, and environmental drift• Automated workflows that leverage AI agents for test generation, refactoring, and edge-case discovery• Practices and tooling that enable tests to serve as definitive specifications for agent-driven development• Self-healing and self-updating test systems that remain stable as the underlying architecture evolves• Patterns and abstractions that continuously raise the team's quality bar and reduce flakiness across environments
Experience, Skills and Qualifications• Bachelor's or Master's in Computer Science, Engineering, or related discipline• 7+ years in software development or test engineering roles• Strong automation experience across backend systems, APIs, integrations, and data platforms• Expertise in Python, Java, or JavaScript for test frameworks and backend utilities• Experience testing platforms like Marketo, Salesforce, Snowflake, or similar systems• Practical experience with cloud testing (AWS/GCP), Docker, Kubernetes, CI/CD pipelines• Strong debugging skills using ELK, distributed logs, telemetry, and monitoring tools• Experience applying or experimenting with AI-assisted or agentic testing approaches
Nice to Have• Exposure to Workato or similar automation platforms• Experience supporting marketing, sales, or revenue platforms• Experience tuning or building performance tests for distributed systems• Background working with AI agent frameworks such as Agentforce
Working Conditions
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
037_PitchBookDataInc PitchBook Data, Inc Legal Entity
As a Senior SDET on PitchBook's Marketing Platform Automation team, you will design and build modern automated testing solutions that ensure the reliability, scalability, and accuracy of the systems powering our global Marketing and Revenue ecosystem. This is a backend-focused, data-heavy testing role where you'll work on distributed systems, APIs, and integrations (Marketo, Salesforce, Snowflake, Workato).
Your work will directly influence release quality, developer velocity, and the stability of mission-critical workflows across lead orchestration, revenue analytics, and marketing automation.
This role also plays a key part in our shift toward AI-enabled and agentic testing practices. You will help define how engineers leverage AI coding agents to generate test cases, refactor brittle tests, detect edge cases, and improve coverage-while still ensuring human oversight, strategic thinking, and quality ownership remain central to the testing discipline.
Team Overview
Your responsibilities span across the Marketing as well as Sales & CS Platform, each of which are cross-functional teams consisting of product management, product ownership, and engineers who are responsible for our core Revenue Technology stack.
Outline of Duties and Responsibilities
Scalable, reliable automation frameworks in Python, Java, or JavaScript that support end-to-end validation of distributed systems• API, backend, and data-pipeline test suites designed for maintainability, clarity, and long-term platform evolution• High-signal tests that surface failure modes early, accelerate developer feedback loops, and reduce production defects• Test suites that integrate seamlessly into CI/CD pipelines running on AWS/GCP, Kubernetes, and containerized infra• Monitoring and alerting tools (Prometheus, Grafana, ELK) to detect regressions, performance issues, and environmental drift• Automated workflows that leverage AI agents for test generation, refactoring, and edge-case discovery• Practices and tooling that enable tests to serve as definitive specifications for agent-driven development• Self-healing and self-updating test systems that remain stable as the underlying architecture evolves• Patterns and abstractions that continuously raise the team's quality bar and reduce flakiness across environments
Experience, Skills and Qualifications• Bachelor's or Master's in Computer Science, Engineering, or related discipline• 7+ years in software development or test engineering roles• Strong automation experience across backend systems, APIs, integrations, and data platforms• Expertise in Python, Java, or JavaScript for test frameworks and backend utilities• Experience testing platforms like Marketo, Salesforce, Snowflake, or similar systems• Practical experience with cloud testing (AWS/GCP), Docker, Kubernetes, CI/CD pipelines• Strong debugging skills using ELK, distributed logs, telemetry, and monitoring tools• Experience applying or experimenting with AI-assisted or agentic testing approaches
Nice to Have• Exposure to Workato or similar automation platforms• Experience supporting marketing, sales, or revenue platforms• Experience tuning or building performance tests for distributed systems• Background working with AI agent frameworks such as Agentforce
Working Conditions
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
037_PitchBookDataInc PitchBook Data, Inc Legal Entity
Top Skills
Ai Agents
AWS
Ci/Cd
Docker
Elk
GCP
Grafana
Java
JavaScript
Kubernetes
Prometheus
Python
Similar Jobs at Morningstar
Enterprise Web • Fintech • Financial Services
The Senior Process Specialist will prepare statutory accounts, ensure compliance with multiple GAAPs, manage auditor queries, and support tax compliance efforts. This role also involves process improvement and analysis reporting.
Top Skills:
Financial Reporting ToolsIfrsLocal GaapsUs Gaap
Enterprise Web • Fintech • Financial Services
The Senior IT Internal Auditor will evaluate IT and security processes, oversee audits, and recommend changes to strengthen controls. They will manage teams and utilize advanced audit tools to ensure compliance and risk management.
Top Skills:
CobitCosoIsoItilNist
Enterprise Web • Fintech • Financial Services
As a Senior Software Development Engineer, you will enhance the MLDLC at PitchBook, providing tools and mentorship while collaborating on AI solutions.
Top Skills:
Amazon SagemakerApache AirflowApache KafkaAWSDockerElasticsearchFastapiFluxGCPGitGoogle Vertex AiGrafanaJavaKubeflowKubernetesLangchainMlflowNoSQLPrometheusPythonPyTorchRedisScikit-LearnSQLTensorFlowTerraformWeights & Biases
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
