Magnet Forensics

Senior Software Development Engineer in Test

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Job Description

Role Overview 

We are seeking a highly skilled and experienced Senior Software Development Engineer in Test (SDET) to join our engineering team, supporting the development and deployment of our next-generation AI-powered products. In this role, you will architect, build, and maintain production-grade test infrastructure and automation frameworks to ensure the reliability and performance of our cloud platform. You will write high-quality, maintainable code for testing tools, CI/CD pipelines, and validation systems that serve as critical engineering infrastructure. You will work closely with developers, product managers, and other SDETs to design and implement robust cloud test strategies, automation frameworks, and validation tools.

The successful candidate will flourish making meaningful contributions and elegant solutions, be determined, and manage major turning points independently in a fast-paced environment. You'll approach test automation as a software engineering discipline, applying the same rigor to test code that you would to production code, treating test infrastructure as a product that serves internal customers (developers) with the same care as customer-facing features.



What You’ll Do
  • Architect and build reusable test frameworks and libraries that serve as shared infrastructure across teams;

  • Design and implement testing SDKs and tools that enable other engineers to write better tests faster;

  • Contribute to the product codebase by improving testability, instrumentation, and observability;

  • Conduct code reviews for test automation pull requests, ensuring best practices and maintainability;

  • Apply software engineering principles (design patterns, SOLID) to test automation architecture;

  • Define and maintain an automation roadmap aligned with team goals and product evolution;

  • Act as a subject matter expert in test strategy and tooling within your domain;

  • Mentor and coach other SDETs or SWEs on Quality Engineering best practices;

  • Engineer end-to-end CI/CD pipelines including build orchestration, deployment automation, and infrastructure-as-code for test environments;

  • Validate deployments across multiple cloud environments;

  • Work closely with development to improve the quality of the product.


  • What We’re Looking For
    • 5+ years of experience in Software Development in the Quality Engineering field with a strong focus on cloud automation;

    • Strong software engineering skills with demonstrated proficiency in at least one programming language (e.g., Python, C#, Java), including:

      • Object-oriented design and design patterns

      • Writing clean, maintainable, well-documented code

      • Version control (Git) and code review practices

      • Software architecture and system design principles

      • Experience with or strong interest in AI-powered development workflows;

      • Experience building production-quality automation frameworks, testing libraries, or developer tools from scratch;

      • Strong understanding of software architecture, APIs, SDKs, and system integration testing with hands-on experience designing and implementing APIs for test frameworks or validation tools;

      • Familiarity with CI/CD pipelines and cloud-based testing environments;

      • Excellent problem-solving skills and attention to detail;

      • Strong communication and collaboration skills.


    Nice to Have Skills
    • Familiarity with testing LLM-powered applications and agentic systems;

    • Experience with infrastructure-as-code (CDK, Terraform, CloudFormation);

    • Familiarity with software design patterns and refactoring techniques;

    • Background in distributed systems or cloud architecture;

    • Knowledge of observability patterns (structured logging, distributed tracing, metrics instrumentation);

    • Familiarity with monitoring and alerting tools (e.g., Grafana, DataDog, CloudWatch);

    • Experience with BDD, contract testing (Pact);

    • Familiarity with AWS: S3, DynamoDB, OpenSearch;

    • Exposure to security testing, performance testing, and regression strategies;

    • Knowledge of Docker containers.