Sarai Rohilla Delhi Delhi Senior devops engineer Jobs – 49 Open Jobs Today

Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off
Senior DevOps Engineer
Networked Energy Services —Delhi, Delhi
- Azure
- DevOps
- English
Senior MLOps / ML Engineer
Employee Hub LLP —Delhi, Delhi
- Up to ₹12,00,000 a year
- Azure
- Computer Science
- Salesforce
Quick apply
Sr. Devops Engineer
Friends Color Images —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
13d
Senior DevOps Engineer
Lambda Computing Inc —Noida, Uttar Pradesh
- Computer Science
- Engineering
- Windows
Senior Devops Engineer
CardByte —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
Senior MLOps Engineer
Hindustan Recruitment Services Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
Quick apply
8d
Senior DevOps Engineer
Aligerous —Noida, Uttar Pradesh
- ₹22,00,000 - ₹25,00,000 a year
- Full-time
- DevOps
- AWS
- Scripting
Quick apply
Senior DevOps Engineer
Belzabar Software —Delhi, Delhi
- Computer Science
- Bachelor's degree
- Scripting
Senior DevOps Engineer
Consilium Software —Delhi, Delhi
- Email
- Azure
- DevOps
- Java
Senior Devops Engineer
Attentive.ai —Delhi, Delhi
- DevOps
- AWS
- Scripting
Quick apply
Sr. Engineer DevOps
Techahead Software Pvt. Ltd. —Noida, Uttar Pradesh
- Windows
- AWS
- Scripting
Quick apply
Senior Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
Senior AI Automation Engineer – Agentic AI (Python)
Precisely Inc. —Noida, Uttar Pradesh
- Azure
- Computer Science
- B.Sc
- Work from home
14d
Sr. Engineer - DevOps 4B
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Weekend availability
- Azure
- Computer Science
- Software troubleshooting
Quick apply
9d
MLOps Engineer
NTT DATA —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
DevOps Engineer
Docyt —Noida, Uttar Pradesh
- Full-time
- DevOps
- SQL
- AWS
- Health insurance
Quick apply
Python Senior Developer - DevOps
HCLTech —Noida, Uttar Pradesh
- DevOps
- AWS
- Analysis skills
1h
MLOps Engineer
NTT Ltd —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
DevOps Engineer
Hashstudioz Technologies Pvt. Ltd. —Noida, Uttar Pradesh
- Azure
- Computer Science
- DevOps
Quick apply

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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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