Ts Sr ai engineer Jobs – 1369 Open Jobs Today

Sr DevOps Engineer II
Verisk —Hyderabad, Telangana
- Full-time
- DevOps
- Master's degree
- AWS
5h
Lead Engineer-AI
Carrier —Hyderabad, Telangana
- Full-time
- Computer Science
- DevOps
- Master's degree
- Flexible schedule
Junior Agentic AI Engineer (m/f/d)
BASF —Hyderabad, Telangana
- Full-time
- Azure
- AWS
- APIs
Sr. AI Engineer
Bhukya Software Technologies —Hyderabad, Telangana
- Full-time
- Master's degree
- SQL
- Mentoring
Sr AI Architect - PA2026Q2JB002
SS&C Technologies —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Health insurance
Sr. Engineer II - Data Engg & AI
Anblicks —Hyderabad, Telangana
- SQL
- AWS
- AI
Quick apply
Sr Associate Software Engineer – Full stack & AI
Amgen —Hyderabad, Telangana
- Azure
- Salesforce
- Master's degree
SDE- I
Bluphlux —Hyderabad, Telangana
- Full-time
- System design
- Java
- Master's degree
Sr Machine Learning Engineer, AI Studio
Amgen —Hyderabad, Telangana
- Computer science
- System design
- SQL
1d
Sr. DevOps Engineer
Wexa AI —Hyderabad, Telangana
- Up to ₹25,00,000 a year
- Full-time
- Azure
- DevOps
- Windows
Quick apply
Director, Software Engineering & AI
Medtronic —Nanakramguda, Hyderabad, Telangana
- Full-time
- Computer Science
- DevOps
- Master's degree
VP AI ML Engineering
Optum —Hyderabad, Telangana
- Full-time
- Computer Science
- Master's degree
- Product management
- Health insurance
11d
AI / ML Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Azure
- Java
- Master's degree
Sr. Software Engineer
Park Place Technologies India Private Li —Hyderabad, Telangana
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
Sr Specialist, AI Software Engineering - BPM Technology
Charles Schwab —Hyderabad, Telangana
- Computer science
- Azure
- Computer Science
- Commuter assistance
- Health insurance
Sr. Staff Site Reliability Engineer (Linux/Network troubleshooting/Scripting)
Zscaler —Hyderabad, Telangana
- DevOps
- Java
- SQL
Quick apply
Associate Software Engineer
Amgen —Hyderabad, Telangana
- Computer science
- Azure
- Software troubleshooting
2d
Senior AI Engineer
Teradata —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Java
13d
Sr Associate Software Engineer, AI Studio (Full Stack)
Amgen —Hyderabad, Telangana
- Computer Science
- Java
- Master's degree
1d
Backend Engineer — Enterprise SaaS & AI Platform
Telovas Private Limited —Hyderabad, Telangana
- ₹2,00,000 - ₹5,00,000 a year
- Part-time
- AWS
- APIs
- In-person
Quick apply

I want to receive the latest job alerts for sr ai engineer in ts

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

sr ai engineer jobs near ts

Senior Software Engineer jobs in Hyderabad, Telangana

Full Stack Developer jobs in Hyderabad, Telangana

Back End Developer jobs in Hyderabad, Telangana

Ai Ml Engineer jobs in Hyderabad, Telangana

Site Reliability Engineer jobs in Hyderabad, Telangana

Senior Engineer jobs in Hyderabad, Telangana

Software Engineer jobs in Hyderabad, Telangana

Machine Learning Engineer jobs in Hyderabad, Telangana

Senior Devops Engineer jobs in Hyderabad, Telangana

Ai Developer jobs in Bengaluru, Karnataka

Lead Engineer jobs in Hyderabad, Telangana

Senior Software Engineer jobs in Pushkar, Rajasthan

Senior Software Engineer jobs in Khanapur, Karnataka

Fresher Electrical Engineer jobs in Ahmedabad, Gujarat

Senior Software Engineer jobs in Noida, Uttar Pradesh

Senior Software Engineer jobs in Giridih, Jharkhand

Full Stack Developer jobs in Chennai, Tamil Nadu

Full Time jobs in Ratnagiri, Maharashtra

Mern Stack Developer jobs in Gandhinagar, Gujarat

Full Stack Developer jobs in Ratnagiri, Maharashtra

Sr DevOps Engineer II

Verisk -
Hyderabad, Telangana

Apply Now

Job details

Full-time
5 hours ago

Qualifications

CI/CD
TCP
Cloud infrastructure
Cloud architecture
Atlassian Bamboo
Kubernetes
Software deployment
Load balancing
DevOps
Git
Master's degree
Bash (Unix shell)
AWS
Docker
SSL
Terraform
Continuous integration
Splunk
New Relic
DNS
S3
TCP/IP
HTTPS
DynamoDB
RDS database
Python
Shell Scripting
Identity & access management
AWS CloudFormation
VPN

Full job description

We are looking for a passionate and experienced DevOps Engineer to build, automate, and operate highly available cloud infrastructure that powers our business-critical applications and data platforms. The ideal candidate will play a key role in ensuring the 24x7 availability, reliability, security, and performance of production systems by leveraging AWS cloud technologies, automation, CI/CD, observability, and operational excellence.

This role requires strong expertise in cloud infrastructure, deployment automation, production support, networking, monitoring, and incident management. You will work closely with Development, QA, Data Engineering, and Infrastructure teams to deliver scalable, resilient, and secure solutions while driving continuous improvement across the software delivery lifecycle.

Cloud Infrastructure & Automation

Design, deploy, and manage secure, scalable, and highly available infrastructure on AWS.
Develop and maintain Infrastructure as Code (IaC) using AWS CloudFormation to automate infrastructure provisioning and configuration.
Provision, configure, and manage AWS services including Amazon ECS, Amazon RDS, Amazon DynamoDB (DDB), Application Load Balancers (ALB), Route 53, IAM, CloudWatch, S3, and AWS Secrets Manager.
Optimize cloud resources for performance, availability, scalability, and cost efficiency.
Implement infrastructure automation to improve operational consistency and reduce manual effort.

CI/CD & Release Engineering

Design, implement, and maintain robust CI/CD pipelines using Bamboo and Bitbucket.
Automate application deployments, infrastructure changes, and release processes across development, testing, staging, and production environments.
Support release planning, deployment validation, rollback strategies, and change management activities.
Collaborate with development teams to improve deployment reliability and accelerate software delivery.

Production Operations & Support

Ensure 24x7 operational availability of production applications, cloud infrastructure, and business-critical data pipelines.
Participate in on-call rotations, Production Governance (PG) calls, and major incident bridge calls.
Proactively monitor application health, infrastructure performance, and pipeline execution using Splunk, New Relic, and Amazon CloudWatch.
Respond to production incidents, outages, performance degradation, and infrastructure failures while meeting SLA commitments.
Lead incident troubleshooting, perform Root Cause Analysis (RCA), and implement corrective and preventive actions.
Execute emergency deployments, hotfixes, rollback procedures, and infrastructure recovery activities.
Develop and maintain operational runbooks, SOPs, and post-incident documentation.

Data Pipeline Reliability

Monitor, maintain, and support business-critical ETL workflows and data pipelines.
Investigate pipeline failures and optimize pipeline performance and reliability.
Collaborate with Data Engineering teams to improve resilience, monitoring, and automation.
Ensure data platform availability and adherence to operational SLAs.

Monitoring & Observability

Build monitoring, logging, and alerting solutions using Splunk, New Relic, and CloudWatch.
Create dashboards and alerts for infrastructure, application, and pipeline health.
Analyze metrics and logs to improve performance and operational efficiency.
Drive continuous improvements in observability and platform reliability.

Networking & Cloud Architecture

Configure and manage AWS networking components including VPCs, Subnets, Route Tables, Security Groups, Network ACLs, NAT Gateways, Internet Gateways, and ALBs.
Manage and troubleshoot DNS using Amazon Route 53.
Troubleshoot routing, connectivity, SSL/TLS, DNS resolution, and load balancing issues.
Design secure, highly available, and fault-tolerant cloud architectures.

High Availability & Disaster Recovery

Design and implement Multi-AZ and Multi-Region deployment strategies.
Support disaster recovery planning, failover testing, and resilience engineering.
Implement automated recovery mechanisms and continuously improve platform resiliency.

Collaboration & Continuous Improvement

Partner with Development, QA, Infrastructure, Security, and Data Engineering teams.
Automate manual processes, improve operational efficiency, and reduce technical debt.
Promote DevOps culture and cloud best practices.
Stay current with emerging cloud technologies.

Cloud & AWS

AWS CloudFormation
Amazon ECS
Amazon RDS
Amazon DynamoDB (DDB)
Application Load Balancer (ALB)
Amazon Route 53
IAM
Amazon CloudWatch
Amazon S3
AWS Secrets Manager

DevOps & CI/CD

Bamboo
Bitbucket
Git
CI/CD pipeline development
Release Management
Deployment Automation
Infrastructure Automation

Monitoring & Observability

Splunk
New Relic
CloudWatch
Log Analysis
Alerting & Dashboarding
Performance Monitoring

Networking

TCP/IP
DNS
HTTP/HTTPS
SSL/TLS
AWS VPC
Route Tables
Security Groups
Load Balancing
NAT Gateway
VPN
Networking Troubleshooting

Automation & Scripting

Bash
Python
Shell Scripting

Operational Excellence

Production Support
Incident Management
Root Cause Analysis (RCA)
Change & Release Management
High Availability (HA)
Disaster Recovery (DR)
Multi-Region Architecture
Operational Monitoring

Preferred Qualifications

Experience with Docker and containerized applications.
Familiarity with Kubernetes (Amazon EKS).
Experience with Terraform or other Infrastructure as Code tools.
Knowledge of AWS Well-Architected Framework.
Experience implementing blue-green, rolling, or canary deployment strategies.
AWS Certifications are highly desirable.

Experience

3–8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
Proven experience managing AWS production environments and enterprise-scale cloud infrastructure.
Strong experience supporting 24x7 production operations, mission-critical applications, and data platforms.
Experience participating in on-call rotations, Production Governance (PG) calls, incident management, and outage resolution.
Demonstrated ability to build reliable CI/CD pipelines, automate infrastructure, and improve platform observability and operational excellence.

What You'll Bring

A strong ownership mindset with a passion for automation, reliability, and operational excellence.

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Apply Now

Refine Your Search

sr ai engineer jobs in ts

Sr DevOps Engineer II

Lead Engineer-AI

Junior Agentic AI Engineer (m/f/d)

Sr. AI Engineer

Sr AI Architect - PA2026Q2JB002

Sr. Engineer II - Data Engg & AI

Sr Associate Software Engineer – Full stack & AI

SDE- I

Sr Machine Learning Engineer, AI Studio

Sr. DevOps Engineer

Director, Software Engineering & AI

VP AI ML Engineering

AI / ML Engineer

Sr. Software Engineer

Sr Specialist, AI Software Engineering - BPM Technology

Sr. Staff Site Reliability Engineer (Linux/Network troubleshooting/Scripting)

Associate Software Engineer

Senior AI Engineer

Sr Associate Software Engineer, AI Studio (Full Stack)

Backend Engineer — Enterprise SaaS & AI Platform

I want to receive the latest job alerts for sr ai engineer in ts

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected