Sr. Data Engineer

Country:

India

Location:

Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103

Location - Bengaluru

Skills - Sr. Data Engineer

Description 

We are seeking a highly skilled and experienced Sr. Cloud Engineer to join our AI team. As the Lead Cloud Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure on AWS. This is an individual contributor role that requires hands-on expertise in cloud engineering, with a focus on supporting our AI and machine learning initiatives. You will work closely with data scientists, MLOps engineers, and other technical teams to ensure our cloud infrastructure is scalable, secure, and optimized for AI workloads.

Primary responsibilities: 

• Design and implement robust, scalable, and secure cloud architecture on AWS to support our AI and machine learning platforms

• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation

• Implement and manage CI/CD pipelines for cloud infrastructure deployment

• Optimize cloud resource utilization and costs while ensuring high performance and reliability

• Implement and maintain robust security measures, including identity and access management, encryption, and network security

• Design and implement disaster recovery and backup solutions

• Collaborate with data scientists and MLOps engineers to provide the necessary cloud infrastructure for AI model development, training, and deployment

• Stay up-to-date with the latest AWS services and best practices, particularly those relevant to AI and machine learning workloads

• Troubleshoot and resolve complex cloud infrastructure issues

• Develop and maintain documentation for cloud architecture, processes, and best practices

• Mentor junior engineers and provide technical guidance to the team

Experience and Skills Required: 

• Bachelor's degree in Computer Science, Engineering, or a related field

• 7+ years of experience in cloud engineering, with at least 5 years of hands-on experience with AWS

• Strong expertise in AWS services, particularly those relevant to AI and machine learning (e.g., EC2, S3, ECS, EKS, SageMaker, Lambda)

• Proficiency in Infrastructure as Code (IaC) tools, preferably Terraform or AWS CloudFormation

• Experience with containerization technologies such as Docker and Kubernetes

• Strong scripting skills in languages such as Python, Bash, or PowerShell

• Expertise in networking concepts and implementation in cloud environments

• In-depth understanding of cloud security best practices and compliance requirements

• Experience with CI/CD tools and methodologies

• Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, or ELK stack

• Strong problem-solving skills and ability to work independently

• Excellent communication skills and ability to collaborate with cross-functional teams

• AWS certifications (e.g., AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional) are highly desirable

• Experience with supporting AI and machine learning workloads in cloud environments is a plus

• Knowledge of cost optimization strategies for cloud resources

Benefits:

• We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

• Have peace of mind and body with our health insurance

• Make yourself a priority with flexible schedules and leave Policy

• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Programme

Our commitment to you:

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Job Applicant's Privacy Notice:

Click on this link to read the Job Applicant's Privacy Notice