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Senior Software Development Engineer in Test

Runpod
Remote, USA
Full-time
Senior · 10+ years experience
Remote
USD 175000-200000 yearly / year
Discovered Today
PythonGolangTypeScriptLocustk6JMeter

Full Job Posting

Responsibilities

  • Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems.
  • Architect performance, load, and stress tests to validate system resilience under high traffic conditions.
  • Build fault-injection and chaos engineering strategies to assess the reliability of distributed services.
  • Develop and execute end-to-end integration, API, and system-level tests across microservices-based architectures.
  • Implement continuous testing pipelines within CI/CD workflows to accelerate deployment cycles.
  • Collaborate closely with development, SRE, and infrastructure teams to ensure quality best practices are embedded within the SDLC.
  • Analyze system logs, telemetry data, and observability metrics to identify and mitigate potential failures before they impact production.
  • Drive automation of security testing, API contract validation, and infrastructure testing.
  • Participate in on-call rotations to assist in diagnosing critical production issues related to system reliability and performance.

Requirements

  • 10+ Years of experience in QA Automation, SDET, Software engineering or a related technical field
  • Expertise in testing cloud-scale distributed systems with a strong focus on reliability, performance, and scalability.
  • Strong programming skills in at least one language, preferably Python, Golang, or Typescript.
  • Hands-on experience in building test automation frameworks for complex microservices architectures.
  • Deep understanding of CI/CD pipelines, infrastructure as code (IaC), and automated deployment strategies.
  • Extensive experience with load testing tools (e.g., Locust, k6, JMeter) and observability platforms (e.g., Prometheus, Grafana, OpenTelemetry, Datadog).
  • Proven experience in testing containerized applications and Kubernetes-based environments.
  • Strong expertise in chaos engineering and fault injection frameworks (e.g., Chaos Mesh, Gremlin, LitmusChaos).
  • Knowledge of distributed tracing and debugging in cloud-native environments.
  • Experience working with message queues, databases, and event-driven
  • architectures (Kafka, RabbitMQ, Redis, etc.)
  • Successful completion of a background check
  • Preferred:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience with multi-region cloud deployments in AWS, GCP, or Azure.
  • Familiarity with security testing and compliance frameworks.
  • Background in managing fleets of GPU/AI compute resources.
  • Strong analytical and problem-solving skills with a passion for improving system quality at scale.
  • What You’ll Receive:
  • The competitive base pay for this position ranges from ($175,000 - $200,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
  • Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
  • Generous medical, dental & vision plans
  • Flexible PTO- take the time you need to recharge
  • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
  • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
  • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace
  • Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

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