Senior ML Ops Engineer -AWS

Job Description

We are seeking a skilled Software Engineer with expertise in AWS cloud technologies to design, develop, and deploy scalable applications using core AWS services. Familiarity with computer vision/deep learning is a plus and will enhance your ability to contribute to cutting edge projects in Automated Driving technologies.

Key Responsibilities:

Design, develop, and maintain scalable, high-performance applications using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, Batch and ECS/EKS.

Monitor and optimize application performance using AWS tools like CloudWatch, X-Ray.

Integrate microservices, RESTful APIs, and serverless architectures into applications.

Collaborate with product managers and DevOps engineers to deliver end-to-end solutions.

Required Skills and Qualifications:

Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
5+ years of experience as a Software Engineer

Strong proficiency in AWS core services (e. g. , EC2, S3, Lambda, step functions , RDS, DynamoDB, Batch, CloudFormation).

Experience with programming languages such as Python, Java

Knowledge of cloud architecture principles, microservices, and serverless computing.

Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes or ECS.

Understanding of security best practices for cloud-based applications (IAM, VPC).

Experience with CI/CD tools and version control systems (e. g. , Git, AWS CodePipeline).

Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Excellent communication and teamwork skills.

Nice-to-Have Skills:

Knowledge of machine learning pipelines and integrating computer vision models into production environments