Senior Software Engineer In Test

Posted Yesterday
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Pune, Maharashtra, IND
In-Office
Senior level
AdTech • Digital Media • Healthtech • Marketing Tech • Analytics
DeepIntent enables healthcare marketers to plan, activate, optimize and measure campaigns, all within one platform.
The Role
Designs and maintains scalable automated testing frameworks for UI, APIs, databases, and end-to-end applications. Develops tests with Python and automation tools, integrates testing into CI/CD, validates complex data pipelines, investigates failures, and collaborates with engineering and product teams. The role also applies AI-assisted engineering, GenAI, and LLM evaluation techniques to improve test coverage, quality, reliability, and productivity.
Summary Generated by Built In

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com.

What You’ll Do:

We are seeking a skilled Software Development Engineer in Test (SDET) with strong programming, automation, analytical, and problem-solving capabilities. The ideal candidate will have experience testing data-intensive applications, demonstrate an understanding of business workflows, and effectively leverage modern AI-assisted engineering tools to improve software quality.

  • Design, develop, and maintain scalable test automation frameworks for UI, API, database, and end-to-end testing.
  • Develop and execute automated tests using Python Pytest, Playwright, Robot Framework or equivalent technologies.
  • Define test strategies, improve automation coverage, and integrate automated tests into CI/CD pipelines.
  • Perform functional, integration, regression, and data validation testing across complex applications and distributed systems.
  • Understand data as a product, including data flows, transformations, upstream and downstream dependencies, quality requirements, and business impact.
  • Analyze end-to-end business requirements, translate them into effective test scenarios, and identify functional dependencies, edge cases, and potential risks.
  • Investigate test failures, analyze application logs, identify root causes, and collaborate with engineering teams to resolve defects.
  • Leverage AI-assisted engineering tools for requirement analysis, test design, automation development, debugging, and test maintenance.
  • Independently identify opportunities to apply AI/GenAI in quality engineering, develop effective prompts, and validate AI-generated solutions for accuracy, reliability, and maintainability.
  • Contribute to continuous improvements in test automation, engineering productivity, product reliability, and quality processes.
  • Collaborate with developers, product managers, data engineers, and other stakeholders to ensure end-to-end product quality.
  • Communicate technical approaches, validation results, quality risks, and recommendations clearly and effectively.

Who You Are:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience.
  • 3.5+ years of professional experience in software testing, test automation, or SDET roles.
  • Strong programming and problem-solving skills, preferably in Python.
  • Hands-on experience designing, developing, and maintaining test automation frameworks using Pytest, Playwright, Robot Framework, or similar tools.
  • Strong understanding of software testing methodologies, test design techniques, and automation best practices.
  • Experience with UI testing and Automation, GraphQL ,REST API testing, database testing, and end-to-end application validation.
  • Working knowledge of Git, Jenkins, CI/CD pipelines, and agile software development practices.
  • Strong SQL skills with experience validating complex datasets, transformations, and data integrity.
  • Understanding of data pipelines, data dependencies, and data quality principles.
  • Ability to analyze business requirements, understand end-to-end workflows, and translate them into comprehensive validation scenarios.
  • Strong analytical reasoning, debugging, and root-cause analysis skills.
  • Practical experience using AI coding assistants such as Cursor, Claude, ChatGPT, GitHub Copilot, or equivalent tools for development, testing, and troubleshooting.
  • Ability to formulate effective prompts with appropriate technical and business context, evaluate AI-generated outputs, and apply them to engineering tasks.
  • Ability to independently identify practical AI/GenAI use cases to improve automation effectiveness, test coverage, and engineering productivity.
  • Foundational understanding of Generative AI, Large Language Models (LLMs), and their applications in software engineering.
  • Strong written and verbal communication skills, with the ability to clearly articulate technical reasoning, findings, and recommendations.
  • Ability to work collaboratively across engineering and product teams, demonstrate ownership, and independently drive assigned responsibilities.
  • Good to have experience with ClickHouse, Apache Spark, BigQuery, MySQL, or similar data processing and analytical platforms.
  • Good to have experience in testing data pipelines, distributed systems, or large-scale data-intensive applications.
  • Good to have familiarity with Docker, Kubernetes, cloud environments, and application observability.
  • Good to have experience with performance testing tools such as JMeter or equivalent solutions.
  • Good to have knowledge of AI/LLM applications, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, or similar agentic AI frameworks.
  • Good to have familiarity with Model Context Protocol (MCP) & tool/function calling.
  • Good to have exposure to AI evaluation and observability tools.
  • Good to have understanding of LLM evaluation concepts, including response accuracy, relevance, hallucination detection, tool-selection accuracy, and agent task completion.
  • Good to have familiarity with AI security testing, prompt injection, sensitive data protection, and AI application performance monitoring.
  • Good to have experience working with healthcare technology, advertising technology, or data-intensive enterprise applications.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, flexible PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits! 

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits! 

Here's what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact [email protected] to see our full Applicant Privacy Notice.

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience
  • 3.5+ years of professional experience in software testing, test automation, or SDET roles
  • Strong programming and problem-solving skills, preferably in Python
  • Experience designing, developing, and maintaining test automation frameworks using Pytest, Playwright, Robot Framework, or similar tools
  • Strong understanding of software testing methodologies, test design techniques, and automation best practices
  • Experience with UI automation, GraphQL, REST API testing, database testing, and end-to-end application validation
  • Working knowledge of Git, Jenkins, CI/CD pipelines, and agile software development practices
  • Strong SQL skills and experience validating complex datasets, transformations, and data integrity
  • Understanding of data pipelines, data dependencies, and data quality principles
  • Ability to analyze business requirements, understand end-to-end workflows, and create comprehensive validation scenarios
  • Strong analytical reasoning, debugging, and root-cause analysis skills
  • Practical experience using AI coding assistants such as Cursor, Claude, ChatGPT, GitHub Copilot, or equivalent
  • Ability to formulate prompts, evaluate AI-generated outputs, and apply them to engineering tasks
  • Ability to identify practical AI/GenAI use cases for improving automation, test coverage, and engineering productivity
  • Foundational understanding of Generative AI, Large Language Models, and their applications in software engineering
  • Strong written and verbal communication skills
  • Ability to collaborate across engineering and product teams, demonstrate ownership, and independently drive responsibilities
  • Experience with ClickHouse, Apache Spark, BigQuery, MySQL, or similar data platforms
  • Experience testing data pipelines, distributed systems, or large-scale data-intensive applications
  • Familiarity with Docker, Kubernetes, cloud environments, and application observability
  • Experience with JMeter or equivalent performance testing tools
  • Knowledge of AI/LLM applications, RAG, LangChain, LangGraph, or similar agentic AI frameworks
  • Familiarity with MCP and tool/function calling
  • Exposure to AI evaluation and observability tools
  • Understanding of LLM evaluation concepts, including accuracy, relevance, hallucination detection, tool-selection accuracy, and agent task completion
  • Familiarity with AI security testing, prompt injection, sensitive data protection, and AI application performance monitoring
  • Experience with healthcare technology, advertising technology, or data-intensive enterprise applications
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The Company
HQ: New York, NY
250 Employees
Year Founded: 2016

What We Do

With a core belief that advertising technology can measurably improve the lives of patients, DeepIntent is leading the healthcare advertising industry into the future. Built purposefully for the healthcare industry, the DeepIntent Healthcare Advertising Platform is proven to drive higher audience quality and script performance with patented technology and the industry’s most comprehensive health data. DeepIntent is trusted by 600+ pharmaceutical brands and all the leading healthcare agencies to reach the most relevant healthcare provider and patient audiences across all channels and devices. For more information, visit DeepIntent.com or find us on LinkedIn.

Why Work With Us

That marketing technology can measurably improve the lives of patients is our core belief, and it’s 100% of our focus. We fuse human ingenuity with deep data science expertise and artificial intelligence, specifically for healthcare marketers. DeepIntent is where business goals meet real-world healthcare outcomes.

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