Senior Manager - Software Development (Machine Learning)
New
G
GoDaddyMachine Learning Engineering
India, Remote, Daily coordination across time zones with US-based teams.Full-TimeManager
Salary6,370,000 - 11,830,000 INR per year
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Job Details
- Languages
- English
- Experience
- 5+ years of engineering management or leadership experience; 10+ years of software development experience; 3+ years working with AWS.
- Required Skills
- AWSDockerPythonKubernetesTypeScriptGoCI/CDMicroservices
Requirements
- 5+ years of engineering management or leadership experience, including hiring and performance management.
- 10+ years of software development experience with Python, Go, and/or TypeScript.
- 3+ years working with AWS (e.g., ECS, EKS, SageMaker, DynamoDB, S3).
- Proven track record in architecting and developing distributed systems using cloud technologies.
- Strong system design and microservices skills, including API contracts and system decomposition.
- Deep CI/CD experience building automated pipelines for deployment, testing, and promotion.
- Experience with containerization and orchestration such as Docker, Kubernetes, or ECS.
- Excellent English communication skills for daily coordination with global partner teams.
- Ownership mindset with the ability to drive roadmap, delivery, and people decisions independently.
Responsibilities
- Lead a team of ML infrastructure engineers in India, mentoring, coaching, and growing the team.
- Partner with US-based MLE leadership to align on technical direction, roadmap, and priorities.
- Architect and evolve ML serving infrastructure, including model endpoints, inference pipelines, and GPU workload scheduling on AWS (ECS/EKS, SageMaker).
- Own the CI/CD platform for ML, including automated pipelines for model training, testing, deployment, and rollback.
- Partner with ML scientists to translate research outputs into production-grade services.
- Collaborate across time zones with cross-functional teams including data engineers and product managers.
- Drive quarterly and yearly roadmap planning and communicate progress to leadership.
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