Develop and maintain automated backend and API tests, test backend services, analyze results and logs, maintain test plans and documentation, track defects, and collaborate with development and operations teams. The role requires strong Python and Pytest skills, REST and gRPC testing, Linux and Bash, Docker, Kubernetes, CI/CD, SQL, Kafka or Kibana, and familiarity with microservices and machine learning.
We are looking for a Senior AQA Engineer for a 6-month project.
The customer is a global mobility and urban services platform operating across multiple countries and regions. The platform provides transportation, delivery, and other urban services for a global user base.
Responsibilities:
- Develop and maintain automated backend/API tests
- Test backend services and analyze results
- Maintain test plans, test cases and documentation
- Identify and track defects
- Collaborate with developers, TechOps and other teams
- Contribute to testing and quality processes
RequirementsRequirements
- 5+ years of overall engineering experience
- 3+ years of test automation experience, mainly backend
- Strong Python + Pytest
- Experience testing REST and gRPC APIs
- Good understanding of microservices / client-server architecture
- Linux + Bash
- Understanding of Docker, Kubernetes and CI/CD
- Basic SQL
- Experience with Kafka and/or Kibana
- Ability to analyze backend service logs
- Basic understanding of Machine Learning
- Practical use of AI assistants in day-to-day engineering work
Technology Stack
- Python, Pytest, Linux, Bash, Docker, Kubernetes, CI/CD, REST, gRPC, Kafka, Kibana, SQL
Nice to have experience with IntelicsML
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead software engineering efforts for Samsara’s External Platform EMEA, building scalable distributed systems, APIs, reporting, administration, integrations, and business-critical infrastructure. Lead technical discussions, influence architecture and roadmap, deliver full-stack features, maintain production systems, and support customer-focused iteration. Mentor engineers, hire and develop high-performing teams, and contribute to machine learning-powered products and long-running projects.
Top Skills:
GoGraphQLMachine LearningReactReact NativeTypescript
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and maintain full-stack platform products spanning reporting, enterprise administration, developer APIs, agent systems, billing, licensing, and usage metering. Architect, test, deploy, and support production systems while collaborating with engineering, infrastructure, product, design, and support teams. Contribute to scalable media-processing and streaming applications, operational health, architecture, roadmap decisions, and customer-driven feature development.
Top Skills:
GoGraphQLMySQLReactTypescript
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills:
Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


