Senior Software Development Engineer in Test

Who We Are; What We Do; Where We’re Going

Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

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.

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.

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.

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.

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