Location
Remote (Poland)
Seniority
Senior
Employment
Full-Time
First seen by Alion on Nov 13, 2026. Luxoft scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Luxoft is a software engineering and IT consulting company founded in 2000 and owned by DXC Technology since 2019. Headquartered in Zug, Switzerland, it builds custom software, testing and cloud solutions for clients in automotive, financial services, healthcare, media and telecommunications. Its delivery centers in countries such as Romania, Poland, India and Serbia hire QA engineers, DevOps engineers, backend developers and data engineers.
As a Senior Software Engineer on the Platform - Cloud Events team, you will ensure that data captured by the devices is properly validated and assessed by the powerful ML models that run in the Cloud. In this role you will level up our ML operations by enabling a more efficient model improvement lifecycle.
You will work closely with the Product Team, the Technical Program Managers, and our partner engineering teams that build the edge software and make sense of our sensor data.
We're looking for someone who loves leveling up their team through code review, improving architecture, and thinking systemically.
- Maintain a high level of code quality through code review and documentation
- Optimize machine learning operations with robust systems and by collaborating across teams
- Expand capabilities of event pipeline to satisfy both general and client specific needs
- Reduce cost of doing business with by optimizing usage of cloud resources, especially GPUs
Wymagania
MUST- Experience: 7+ years of overall experience, 2+ years building high throughput backend services
- Core Skills: Professional experience with Golang and/or Python, event streaming / message broker experience (Kafka, Pub/Sub, Kinesis, NATS, RabbitMQ, or similar), distributed systems thinking, ML Ops knowledge a plus
- Personal Attributes: Collaborative teammate and code reviewer, detail oriented system designer
- Education: BS in Computer Science or related field
- Professional experience with government technology
- ML Operations experience
- Familiarity with AWS specific implementation of managed services
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