23 часа назад
Software Engineer in Test (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer in Test (AI): Building test automation infrastructure, CI/CD pipelines, and release workflows for an AI-enabled image recognition platform with an accent on distributed systems, service-oriented architecture, and API quality. Focus on designing comprehensive automated tests, validating release health, troubleshooting production issues, and implementing safeguards across enterprise-scale systems.
Location: Fully remote
Company
is part of FORM, a provider of mobile workforce technology that includes the AI-enabled GoSpotCheck task management platform and image recognition technology, supporting global enterprise users in 45 countries.
What you will do
- Build testing infrastructure, automated testing frameworks, and release pipelines for enterprise-scale products.
- Design and implement unit, integration, end-to-end, load, and performance testing strategies.
- Build CI/CD pipelines and release automation for service-oriented and distributed systems.
- Test gRPC and REST APIs and improve confidence in system speed, reliability, and performance.
- Evaluate testing tools, deployment strategies, and release management practices.
- Diagnose failures, implement safeguards, and collaborate with the Agile team on testing and release strategy.
Requirements
- 3+ years of professional software engineering experience focused on test automation, deployment pipelines, and/or release management.
- Experience implementing automated testing in event-driven architectures using Kafka, Pub/Sub, or similar technologies.
- Hands-on experience designing and building CI/CD pipelines and release automation.
- Strong understanding of service-oriented architecture and testing across distributed systems.
- Experience with gRPC and/or RESTful APIs, troubleshooting, and production issue diagnosis.
- Ability to contribute to planning, architecture, testing strategy, and release decisions.
Nice to have
- Experience with Postgres, OpenSearch, Google Cloud, Kubernetes, Docker, or Agile practices.
- Experience with blue-green deployments, canary releases, rollback strategies, and observability tools such as Datadog, Prometheus, or Grafana.
- Familiarity with machine learning concepts, ML feature testing, or workflow tools such as Temporal and Camunda.
Culture & Benefits
- Fully remote collaboration within a global team.
- Opportunities for professional growth and access to internal learning and development resources.
- Necessary project equipment is provided.
- Work on challenging products that improve execution for mobile workers and enterprise customers.
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