Spike Technologies is looking for an experienced QA automation engineer to join our team in building cutting-edge Data Engineering and Generative AI technology. In this role, you will be responsible for maintaining the quality of scalable systems that serve our enterprise clients in the HealthTech industry. You'll be working with billions of proprietary data points derived from Wearables, IoT devices, other sensors and will be working with microservices infrastructure that delivers this structured data feed and GenAI insights for our clients near-real-time.

Responsibilities:

• Test a large variety of data sources (wearable devices, IoT, etc)
• Test individual microservices in insolation
• Test integrated systems consisting of multiple microservices, databases and messaging systems
• Perform load and performance testing
• Work with data, build dashboards, monitor and respond to quality issues in production
• Generate ideas, work proactively, involve with the development team

Qualifications:

• Experience building and maintaining QA processes, working closely with development teams
• 5+ years of experience in QA automation or development
• Good coding skills (any programming language, but we’re using mostly Python, JavaScript and Shell)
• Experience working with client/server systems, distributed systems and cloud providers
• Experience with testing APIs
• Working knowledge of relational databases and/or NOSQL

Good to have:

• Experience with Kubernetes and Docker
• Experience with iOS/Android
• Experience with information security
• Ability to move fast as it's part of Spike's culture

What we offer:

• Base salary €4000 - €7000 gross
• Generous stock options package with a significant upside
• Hybrid working model (offices in Vilnius, Lithuania and Palo Alto, CA)
• USA work visa sponsorship and relocation to Silicon Valley HQ where applicable
• Dynamic growth: dive into AI and Data tech, seizing high-growth opportunities with cutting-edge projects.
• Talented peers: collaborate with a smart, ambitious team comprising data scientists, PhDs, Cambridge alumni, and tech industry pros (formerly from Bloomberg, Goldman Sachs, and Google).
• Solid backing: enjoy stability and ample resources for success, supported by reputable venture capitalists.

At Spike Technologies, diversity is celebrated, and inclusion is our priority. We welcome applicants from all backgrounds to join our innovative team and contribute to our inclusive culture.

Sounds like you? Let's talk.