Requirements
· Lead and manage contractors, including work planning, technical guidance, delivery tracking, and performance feedback.
· Design and develop frontend and backend tools for monitoring ML inference services and visualizing Search CI/CD and release workflows.
· Maintain and improve CI/CD pipelines, daily release sign-off, and deployment operations for Search and ML services.
· Maintain and optimize Spark-based data pipelines for reliability, performance, and cost efficiency.
· Ensure engineering deliverables meet quality, testing, documentation, security, and operational standards.
· Communicate progress, dependencies, and delivery risks clearly to US stakeholders.
Key Qualifications
· Bachelor's degree in Computer Science.
· At least 7-8 years of relevant software engineering experience, with a focus on cloud infrastructure, distributed systems,
full-stack development, or platform engineering.
· Demonstrated experience leading offshore engineers or contractors as part of a distributed global team.
· Proven experience leading contractors or offshore engineering teams within a distributed global organization.
· Solid problem-solving and analytical abilities, with the capacity to learn large-scale, complex systems methodically and quickly.
· Full-stack development experience with frontend frameworks such as React and backend technologies such as Java and Python.
· Hands-on experience developing or operating Spark-based data pipelines.
· In-depth understanding of Linux environments, Kubernetes, AWS, and Amazon EKS.