We are seeking a Senior Software Engineer to join our team and build automation for machine learning engineers, enabling predictive analytics for athlete performance, personalization, and inventory optimization. You’ll collaborate with architects, platform engineers, and ML specialists to develop, test, and scale cloud-based models using APIs, stream processing, and batch processing.

Responsibilities:

Build cloud infrastructure for ML following MLOps best practices.
Design APIs, develop event-driven services, and create data pipelines.
Implement CI/CD pipelines, monitoring, and alerting for infrastructure.
Research and evaluate cloud services, tools, and container solutions.
Collaborate with cross-functional teams to deliver product features.

Qualification and Skills:

7+ years of software engineering experience with expertise in MLOps.
Proficient in Python, SQL, Docker, Kubernetes, and AWS services.
Strong knowledge of CI/CD tools (Git, Jenkins) and Infrastructure as Code (Terraform/CloudFormation).
Experience with Spark, Databricks, Snowflake, and agile development.
Tech lead experience and ability to represent engineering teams.

About Brickred Systems:

Brickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence.

With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.