Senior Software Engineer (backend)

Luxoft; United States; Remote; USD 130,000 - 200,000; Full time

Job summary

Luxoft is seeking a Senior Software Engineer for the Platform - Cloud Events team to ensure data from devices is validated and assessed by ML models in the Cloud. You will advance ML operations and enable a more efficient model-improvement lifecycle through close collaboration with product teams, TPMs, and partner engineering teams.

You will review code, improve architecture, and design scalable systems to support high-throughput backend services and complex event pipelines while pursuing

Qualifications

• 7+ years of overall experience and 2+ years building high throughput backend services.
• Professional experience with Go and/or Python and event streaming technologies.
• Bachelor's degree in Computer Science or related field.

Responsibilities

• Maintain a high level of code quality through code review and documentation.
• Optimize ML operations with robust systems and cross-team collaboration.
• Expand capabilities of the event pipeline to meet client needs.
• Reduce cloud costs by optimizing GPU usage.

Skills

Golang

Python

Event streaming

Kafka

Distributed systems

ML Ops

Code review

Team collaboration

Education

BS in Computer Science

Job description

Project description

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.

Responsibilities

• - 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

SKILLS

Must have

• - 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

Nice to have

- Professional experience with government technology- ML Operations experience- Familiarity with AWS specific implementation of managed services