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Sr. Software Development Engineer

Sr. Software Development Engineer

Morningstar

7 - 12 years

20 - 25 Lacs

mumbai

Posted:6 days ago| Platform:

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Skills Required

computer science product management automation backend coding debugging javascript test cases analytics salesforce

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Overview

As a Senior SDET on PitchBook s keting 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 keting and Revenue ecosystem. This is a backend-focused, data-heavy testing role where you ll work on distributed systems, APIs, and integrations ( keto, 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 keting 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 keting 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

itoring 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 keto, 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 itoring tools

Experience applying or experimenting with AI-assisted or agentic testing approaches

Nice to Have

Exposure to Workato or similar automation platforms

Experience supporting keting, 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 be required to remote offices or other business meetings and events.

Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were 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, youll have tools and resources to engage meaningfully with your global colleagues.

037_PitchBookDataInc PitchBook Data, Inc Legal Entity

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Sr. Software Development Engineer