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CrowdStrike

Builds cloud software that stops cyberattacks

Software Development Engineer in Test - Agentic Automation

Performance Testing +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A degree in Computer Science or equivalent experience, including object-oriented programming, data structures, algorithms, and distributed systems.
  • At least 5 years of experience in software quality, including at least 3 years of hands-on SDET or test automation development.
  • Strong programming skills in at least one of Java, Node.js, or Python; Python is preferred for evaluation and agent work.
  • Experience designing, building, and maintaining test frameworks integrated with CI/CD pipelines such as Jenkins or GitLab CI/CD.
  • Experience testing web services and APIs, including REST, gRPC, and JSON.
  • Hands-on performance and load testing experience using tools such as Locust or k6, including designing realistic workloads and interpreting latency percentiles, throughput, and error rates.
  • A verification-first approach to AI output, including judgment about when to use deterministic assertions versus probabilistic evaluation.
  • Experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.

Responsibilities

  • Design, develop, and maintain automated test suites and frameworks for distributed, cloud-based systems.
  • Maintain and extend agentic test generation and analysis tooling in the testing frameworks.
  • Build AI-powered workflows and agent skill files to automate manual testing tasks such as test data setup, failure triage, and release validation.
  • Maintain evaluation suites, golden datasets, and scoring pipelines for AI agents, assessing correctness, tool use, trajectory, faithfulness, safety, latency, and cost.
  • Enforce continuous integration evaluation gates so changes to prompts, models, tools, or orchestration are measured before release, and incorporate production failures into evaluation sets.
  • Detect and mitigate unreliable AI output, including hallucinated assertions, flaky or redundant tests, incorrect failure triage, and judge bias.
  • Design, run, and analyze performance, load, and stress tests to identify bottlenecks and validate scalability across distributed services.
  • Validate integration of platform systems, services, data, and applications, as well as customer-facing features end to end.
  • Review product, system, and agent designs for testability, evaluability, flaws, and improvements.
  • Share knowledge and contribute to the team's quality and evaluation standards.

Desired Qualifications

  • End-to-end evaluation-driven development experience, including release gating, trajectory and tool-use evaluations, and calibrating LLM-as-judge against human review.
  • Prompt engineering and context or tool design for agents.
  • Experience integrating performance tests into CI/CD and using observability tools such as Grafana, Prometheus, or CloudWatch.
  • Background in cybersecurity, threat intelligence, malware analysis, or sandboxing/detonation environments.

About the Company

CrowdStrike

Builds cloud software that stops cyberattacks

CrowdStrike builds cybersecurity software for organizations that need to protect computers, cloud workloads, identities and data from digital attacks. Its Falcon platform combines these defenses in one cloud system, using a lightweight sensor on devices to collect activity and detect suspicious behavior. Security teams investigate alerts and automate responses through a shared console, while the platform connects information from different parts of a business to reveal attacks that isolated tools miss. Customers pay subscription fees based on the products and assets covered, and CrowdStrike also charges for incident response services. CrowdStrike was founded in 2011 and is based in Austin, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Austin, TX
Founded
2011

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