adyar chennai tamil nadu devops engineer Jobs – 151 Open Jobs Today

DevOps Architect - Responsible AI Engineer
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- AI
1d
Senior/Lead Azure DevOps Engineer
Luxoft —Chennai, Tamil Nadu
- Azure
- Software troubleshooting
- English
Lead DevOps Engineer
TransUnion —Chennai, Tamil Nadu
- Full-time
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Senior DevOps Engineer - Assistant Vice President
Citi —Chennai, Tamil Nadu
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- Oracle
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Senior DevOps Engineer
Tekion —Chennai, Tamil Nadu
- Azure
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Lead Engineer DevOps
Aptiv plc —Chennai, Tamil Nadu
- Scripting
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- Health insurance
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Lead engineer, GCP Devops engineering
TransUnion —Chennai, Tamil Nadu
- Full-time
- Computer networking
- APIs
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TechOps-DE-CloudOps-DevOps Engineer-Python-Senior
EY —Chennai, Tamil Nadu
- Hybrid work
- Microsoft Excel
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Senior DevOps Engineer - Chennai
Photon —Chennai, Tamil Nadu
- DevOps
- Java
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Specialist Software Engineer - Public Cloud DevOps
Société Générale —Chennai, Tamil Nadu
- Azure
- Writing skills
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Azure + GCP DevOps/Cloud Engineer
UPS —Chennai, Tamil Nadu
- Azure
- Computer Science
- SQL
DevOps Engineer
Sciera —Chennai, Tamil Nadu
- Full-time
- Computer Science
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Senior DevOps Engineer
Ensono —Chennai, Tamil Nadu
- Windows
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Senior DevOps Engineer
Exasol AG —Chennai, Tamil Nadu
- Full-time
- Remote
- DevOps
- AWS
- Scripting
- Flexible schedule
Distributed Cache & DevOps Engineer
Datamatics Technologies —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Senior DevOps Engineer
Finzly —Chennai, Tamil Nadu
- Full-time
- Oracle
- Computer Science
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TechOps-DE-CloudOps-DevOps Engineer-Java-Senior
EY —Chennai, Tamil Nadu
- Hybrid work
- Azure
- Oracle
- DevOps
DevOps Engineers
E2E Infoware Management Services —Chennai, Tamil Nadu
- AWS
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Technical Lead - DevOps
Hapag-Lloyd AG —Chennai, Tamil Nadu
- DevOps
- Java
- AWS
Senior Devops Engineer
Citi —Chennai, Tamil Nadu
- Full-time
- Software troubleshooting
- DevOps
- Java

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DevOps Architect - Responsible AI Engineer

Cognizant -
Chennai, Tamil Nadu

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Job details

Full-time
1 day ago

Qualifications

CI/CD
Law
Master's degree
Presentation skills
NIST standards
Continuous integration
AI
RMF
Communication skills
Python

Full job description

Responsible AI Engineer About the role
As a Responsible AI Engineer , you will make an impact by engineering the trust, safety, and governance layer for agentic AI systems deployed at enterprise scale. You will be a valued member of the AI Market Unit (FDE Pod) and work collaboratively with AI engineers, architects, risk teams, and client stakeholders to ensure every AI solution is safe, compliant, and production-ready. In this role, you will:
Design and implement runtime guardrails and safety architectures for LLM and agentic AI systems, including input/output controls, prompt injection detection, and policy enforcement mechanisms
Lead red-teaming and adversarial testing initiatives to identify vulnerabilities such as jailbreaks, prompt injections, and trust boundary violations before production deployment
Build and operationalize AI governance and compliance frameworks , translating regulations (e.g., EU AI Act, NIST AI RMF) into enforceable engineering controls
Develop and deploy fairness, bias, and model evaluation pipelines , including hallucination detection, groundedness validation, and subgroup performance analysis
Establish observability and auditability for AI systems through structured logging, audit trails, governance metrics, and incident response processes Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a Cognizant office in Chennai, Bangalore, or Hyderabad .
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered
Experience in software engineering or ML engineering , with hands-on exposure to AI safety, governance, or trust engineering
Proven experience building and deploying LLM or agentic AI systems in enterprise or regulated environments
Strong expertise in at least two of the following: guardrails engineering, red teaming, bias/fairness evaluation, AI regulatory compliance
Working knowledge of AI regulatory frameworks such as EU AI Act, NIST AI RMF, ISO/IEC 42001, or sector-specific compliance standards
Strong Python programming skills , with experience building evaluation pipelines, observability systems, or AI governance tooling
Ability to collaborate with security, legal, and risk stakeholders , translating technical AI risks into actionable insights for business leaders
Excellent communication and executive-level presentation skills , with experience presenting to senior client stakeholders These will help you stand out
Hands-on experience conducting red-team assessments on production AI systems and remediating critical vulnerabilities
Experience creating audit-ready AI governance and compliance documentation for external or regulatory review
Ability to influence AI system design decisions by balancing technical feasibility with regulatory and risk considerations
Experience integrating fairness, safety evaluation, and monitoring pipelines into CI/CD workflows
Exposure to enterprise AI tooling such as NeMo Guardrails, Giskard, Arize, LangChain/LangGraph, or similar ecosystems
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting perspectives to this role.

Apply Now

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devops engineer jobs in adyar chennai tamil nadu

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