We are working with an innovative company that specializes in building and maintaining high-performance, resilient data platforms, with a strong emphasis on performance engineering, scalability, and operational readiness. They enable organizations through robust test data generation and simulation capabilities that support platform validation, reliability testing, and AI model development.
The Role
- Own delivery of complex, end-to-end engineering solutions from data generation to user-facing experiences.
- Lead design and implementation of scalable, high-performance, cloud-native data and application platforms.
- Architect data generation systems to support testing, analytics, and AI model development.
- Engineer high-performance systems with a focus on latency, throughput, resiliency, and cost efficiency.
- Design and build agentic AI systems that can autonomously reason, plan, and execute tasks.
- Act as a senior technical leader, driving architectural decisions and mentoring engineers.
What You'll Need
- 7+ years of experience building and operating scalable, distributed, cloud-native systems, including data platforms and APIs.
- Strong experience with end-to-end system design, from data generation to front-end delivery.
- Proven expertise in performance engineering, including profiling, load testing, and system optimization.
- Hands-on experience with backend technologies such as Node.js (TypeScript preferred) and Python.
- Deep knowledge of AWS services (Lambda, S3, Step Functions, SNS/SQS, Redshift, Athena, DynamoDB, etc.).
- Experience with AI/ML systems in production, including model integration and operationalization.
What's On Offer
- Opportunity to work on cutting-edge data platforms and AI solutions.
- Collaborative environment with a focus on engineering excellence.
- Chance to drive architectural decisions and mentor other engineers.
- Focus on performance, scalability, and reliability in all solutions.
Apply via Haystack today!
Haystack