
Senior Software Engineer In Test
DeepIntent3 days ago
Pune, IndiaSenior
Responsibilities
- Design, develop, and maintain scalable 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 tests into CI/CD pipelines.
- Perform functional, integration, regression, and data validation testing across complex applications and distributed systems.
- Analyze data flows, transformations, dependencies, quality requirements, and business impact.
- Translate business requirements into test scenarios and identify dependencies, edge cases, and risks.
- Investigate test failures, analyze logs, identify root causes, and collaborate with engineers to resolve defects.
- Use AI-assisted engineering tools for test design, automation development, debugging, and maintenance.
- Identify AI/GenAI use cases, formulate prompts, and validate AI-generated solutions for reliability and maintainability.
- Collaborate with developers, product managers, data engineers, and other stakeholders to improve product quality and reliability.
- Communicate technical approaches, validation results, quality risks, and recommendations.
Requirements
- 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 building and maintaining automation frameworks with Pytest, Playwright, Robot Framework, or similar tools.
- Experience with UI automation, GraphQL, REST API testing, database testing, and end-to-end application validation.
- Working knowledge of Git, Jenkins, and CI/CD pipelines.
- Strong SQL skills and experience validating complex datasets, transformations, and data integrity.
- Understanding of data pipelines, data dependencies, and data quality principles.
- Strong analytical reasoning, debugging, root-cause analysis, communication, collaboration, and ownership skills.
- Practical experience with Cursor, Claude, ChatGPT, GitHub Copilot, or equivalent AI coding assistants.
- Ability to formulate prompts, evaluate AI-generated outputs, and apply them to engineering tasks.
- Foundational understanding of Generative AI, Large Language Models, and their software-engineering applications.
- Preferred experience with ClickHouse, Apache Spark, BigQuery, MySQL, data pipelines, distributed systems, or large-scale data applications.
- Preferred familiarity with Docker, Kubernetes, cloud environments, application observability, and performance testing tools such as JMeter.
- Preferred knowledge of RAG, LangChain, LangGraph, MCP, tool/function calling, AI evaluation, AI observability, and LLM evaluation concepts.
- Preferred familiarity with AI security testing, prompt injection, sensitive data protection, AI application performance monitoring, and healthcare, advertising, or data-intensive enterprise applications.
Benefits
- US employees receive medical, dental, and vision insurance, a 401K match, flexible PTO, paid holidays, remote-friendly flexible work options, career development and advanced education support, WFH and internet stipends, and other benefits.
- India employees receive medical insurance, paid holidays, hybrid-friendly flexible work options, professional development reimbursement, WiFi reimbursement, health and wellness allowance, and other benefits.
- Europe employees receive medical insurance, flexible PTO, hybrid-friendly flexible work options, professional development reimbursement, WiFi reimbursement, parental leave, and other benefits.
- The company offers competitive base salary plus performance-based bonus or commission, though no salary amount is stated.
Tech Stack
Apache JMeterApache SparkClickHouseDockerGitGoogle BigQueryGraphQLJenkinsKubernetesMySQLpytestPythonRobot FrameworkSQL
Categories
About DeepIntent
DeepIntent builds a healthcare-focused demand-side platform that lets pharmaceutical brands and healthcare agencies plan, activate, and optimize programmatic advertising using privacy-safe clinical and identity data. The company generates revenue from platform and media-buying fees across display, video, CTV, and mobile channels. Founded in 2016 and headquartered in New York, DeepIntent is backed by private equity firm Vitruvian Partners.