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Safe Security

AI-powered cybersecurity risk analytics platform

Software Development Engineer in Test 3

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeNew Delhi, Delhi, IndiaIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related discipline.
  • At least 5 years of experience in Software Development Engineering in Test roles, building, scaling, and maintaining functional, API, and UI test automation frameworks, including experience leading or mentoring engineers.
  • Hands-on experience applying AI and large language models across the test lifecycle, including AI-assisted test generation, automated or self-healing test maintenance, and AI-driven analysis of test results and failures, with the ability to evaluate and improve AI-agent accuracy and reliability.
  • Experience standing up and maintaining test infrastructure and continuous integration and continuous delivery pipelines in containerized environments using Docker or Kubernetes, and owning production service deployment and release processes.
  • Strong programming skills in one or more of Python, Java, JavaScript or TypeScript, or Go.
  • Leadership, communication, and stakeholder management skills.

Responsibilities

  • Lead, mentor, and grow a team responsible for functional testing across the company's products and services.
  • Define and drive functional testing strategy, standards, and best practices across the team; own the design, build-out, and ongoing maintenance of reliable, scalable, and accessible test infrastructure and environments.
  • Promote AI use across the test lifecycle, including AI-assisted test case generation, automated or self-healing test maintenance, and AI-driven analysis of test results and failures; evaluate, benchmark, and improve the accuracy and reliability of AI agents used in testing and quality workflows.
  • Own deployment of product services to production and ensure appropriate quality gates and rollback plans are in place.
  • Partner with Engineering, Product, and Design to align test coverage and release readiness with product and business priorities.
  • Conduct code reviews to maintain code quality, identify improvement opportunities, and provide constructive feedback to team members.
  • Use AWS services, including Lambda, API Gateway, EC2, S3, and RDS, to architect and optimize cloud-based solutions.
  • Troubleshoot and resolve complex technical issues by identifying root causes and implementing solutions.

About the Company

Safe Security

AI-powered cybersecurity risk analytics platform

Safe.Security provides a real-time cyber risk management platform for businesses. It collects and analyzes millions of signals per customer per day using AI to give a live view of an organization's risk posture. The platform connects with 50+ APIs, threat feeds, and user data, uses a Generative AI interface called SafeGPT, and maps risk across the MITRE ATT&CK kill chain to show where an attack could happen. It helps translate security controls into financial exposure for underwriting and guides which security investments to prioritize, with the broader goal of aligning cybersecurity risk with enterprise risk and securing appropriate cyber insurance.

Company size
501-1,000
Company stage
Series C
Total funding
$162.2M
Headquarters
Palo Alto, CA
Founded
2012

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