Greater Noida Uttar Pradesh Devops engineer Jobs – 85 Open Jobs Today

Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off
Principal Devops Lead
Ameriprise India —Noida, Uttar Pradesh
- Full-time
- Azure
- Software troubleshooting
- DevOps
- Work from home
AI Manager-DevOps
NTT Ltd —Noida, Uttar Pradesh
- Azure
- Management
- PMP
6d
Azure Devops
CSO HR SERVICES PVT LTD —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Python
Quick apply
Azure DevOps Engineer
Invarsys Consultancy Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Software development
Quick apply
Azure DevOps + Python + Generative AI Engineer
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
Quick apply
11d
Lead DevOps Engineer – Cloud, CI/CD, Security (Banking Domain)
Amity Software Systems —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- DevOps
Systems Integration Advisor
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Software troubleshooting
- DevOps
- Windows
8d
Backend Developer
TagTaste Foods —Noida, Uttar Pradesh
- Computer Science
- DevOps
- AWS
Senior Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
Jenkins/Cloudbees Admin
Amrut Software —Noida, Uttar Pradesh
- Full-time
- DevOps
- Java
- APIs
Azure Administration
i2k2 Networks —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Linux

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Senior Engineer-Devops, Machine Learning Operations

BOLD LLC -
Noida, Uttar Pradesh

Apply Now

Job details

Benefits

Health insurance
Paid time off
Life insurance

Qualifications

Spring Boot
CI/CD
DevOps
MongoDB
Bash (Unix shell)
Database administration
AWS
Machine learning
Continuous integration
S3
Linux
DynamoDB
Solr
Python
Spring framework
Shell Scripting
MySQL

Full job description

Noida, Uttar Pradesh, India

Information Technologies

BOLD is seeking for Devops professional to own the production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

Job Description

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring.
Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization.
Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability.
Manage data/feature stores and search infrastructure for scalable ML inference.
Automate CI/CD for ML models and infrastructure with governance and security compliance.
Handle security patching, cost optimization, and 24x7 on-call rotations for critical services.
Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes.

WHAT YOU’LL NEED

4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search).
Python/Bash scripting for CI/CD, provisioning, monitoring of FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch).
AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB).
Strong Linux and networking fundamentals;
Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).

EXPERIENCE-

MLOps Sr. Engineer, DevOps - 4.5+ years

#LI-SV1

Benefits

Outstanding Compensation

Competitive salary
Tax-friendly compensation structure
Bi-annual bonus
Annual Appraisal
Equity in company

100% Full Health Benefits

Group Mediclaim, personal accident, & term life insurance
Group Mediclaim benefit (including parents' coverage)
Online Health (OPD) Consultation Benefit
Personal accident and term life insurance coverage

Flexible Time Away

24 days paid leaves
Declared fixed holidays
Paternity and maternity leave
Compassionate and marriage leave
Covid leave (up to 7 days)

Additional Benefits

Internet and home office reimbursement
In-office catered lunch, meals, and snacks
Certification policy
Cab pick-up and drop-off facility

About BOLD

We Transform Work Lives

As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate And Promote Diversity And Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

Apply Now

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devops engineer jobs in greater noida uttar pradesh

Senior Engineer-Devops, Machine Learning Operations

Principal Devops Lead

AI Manager-DevOps

Azure Devops

Azure DevOps Engineer

Azure DevOps + Python + Generative AI Engineer

Lead DevOps Engineer – Cloud, CI/CD, Security (Banking Domain)

Systems Integration Advisor

Backend Developer

Senior Software Engineer

Jenkins/Cloudbees Admin

Azure Administration

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