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AWS DevOps / MLOps Engineer Job Opening In Kochi – Now Hiring Confidential


Job description

About the Role:

We are seeking an AWS DevOps / MLOps Engineer to support our Agentic AI projects.

The role involves building, automating, and managing cloud infrastructure and machine learning workflows on AWS, ensuring smooth deployment and operation of AI solutions.

Key Responsibilities:

  1. Design, deploy, and manage AWS infrastructure (VPC, EC2, ECS/EKS, S3, IAM, Lambda, Step Functions).
  2. Build and maintain CI/CD pipelines for deploying applications, data pipelines, and ML models.
  3. Apply MLOps practices to automate model versioning, training, testing, deployment, and monitoring.
  4. Use AWS SageMaker to manage model training, deployment, monitoring, and drift detection.
  5. Automate data and ML workflows using Airflow, Step Functions, or Kubeflow.
  6. Set up monitoring and alerting using tools like CloudWatch, Prometheus, or Grafana.

Required Skills & Qualifications:

  1. 3+ years of experience in DevOps, Cloud Engineering, or MLOps.
  2. Strong knowledge of AWS services: SageMaker, S3, EKS/ECS, Lambda, API Gateway, Redshift, DynamoDB, Step Functions.
  3. Experience with CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
  4. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK).
  5. Good scripting skills in Python, Bash, or Go.
  6. Familiarity with Docker, Kubernetes, and container orchestration.
  7. Understanding of ML model lifecycle: data ingestion, training, deployment, monitoring, retraining.
  8. Experience with monitoring and logging tools (CloudWatch, ELK, Prometheus, Datadog).
  9. Knowledge of GitOps practices to manage infrastructure and ML models.


Education
Bachelor Of Computer Application (B.C.A), Master of Health Science (MHSc), Post Graduate Diploma in Computer Applications (PGDCA), Master in Computer Application (M.C.A), Master in Landscape Architecture, Doctor of Public Health (DrPH)
Skills Required
Cloud Engineering, S3, Lambda, Api Gateway, Redshift, Dynamodb, Cloudformation, Bash, Kubernetes, Training, Deployment, Monitoring, Elk, Prometheus

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AWS DevOps Potential: Insight & Career Growth Guide


Real-time AWS DevOps Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AWS DevOps in Kochi, India, highlighting market share and opportunities for professionals in AWS DevOps roles.

66455 Jobs in India
66455
493 Jobs in Kochi
493
Download Aws Devops Jobs Trends in Kochi and India

Are You Looking for AWS DevOps / MLOps Engineer Job?

Great news! is currently hiring and seeking a AWS DevOps / MLOps Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for AWS DevOps / MLOps Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kochi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for AWS DevOps / MLOps Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AWS DevOps / MLOps Engineer Job Success

Confidential interview tips for AWS DevOps / MLOps Engineer

Here are some tips to help you prepare for and ace your AWS DevOps / MLOps Engineer job interview:

Before the Interview:

Research: Learn about the Confidential's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your AWS DevOps / MLOps Engineer interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

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