Mumbai Maharashtra Senior devsecops engineer Jobs – 13 Open Jobs Today

Senior Staff Engineer (AI Developer - DevSecOps Tools)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
2h
DevSecOps Engineer
Prodigal —Mumbai, Maharashtra
- Computer Science
- DevOps
- Master's degree
Quick apply
Senior DevSecOps Engineer
CleverTap —Mumbai, Maharashtra
- Full-time
- Computer Science
- B.Sc
- DevOps
Senior Solutions Engineer
Vizion Beyond —Mumbai, Maharashtra
- ₹3,99,527.82 - ₹12,00,000.00 a year
- DevOps
- Windows
- Presentation skills
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Senior DevOps Engineer
PivotRoots —Andheri East, Mumbai, Maharashtra
- ₹6,00,000 - ₹8,00,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Health insurance
- Paid sick time
Quick apply
Senior DevOps Engineer (Fintech)
Orange Mantra —Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- AWS
Senior Application Security / Product Security Engineer
Galaxy Office Automation —Mumbai, Maharashtra
- Full-time
- Microsoft Excel
- Azure
- AWS
Senior Staff Engineer (AI Developer - AppSec)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
1h
Senior DevOps Engineer
Tradelab —Mumbai, Maharashtra
- Full-time
- DevOps
- AWS
- Scripting
Quick apply
Senior Security Engineer
Arcitech —Turbhe, Mumbai, Maharashtra
- Full-time
- Azure
- AWS
- APIs
2d
Security Architect
Accenture —Mumbai, Maharashtra
- Full-time
- Computer Science
- AWS
- Bachelor's degree
Senior Manager - Cloud Architect
Sun Pharmaceutical Industries Ltd —Mumbai, Maharashtra
- Azure
- PMP
- DevOps
Senior Software Engineer - Security
LoginextSolutions —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps

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DevSecOps Engineer
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Project ownership — you can take an ambiguous infra problem, break it into a plan, and drive it to completion without hand-holding.
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Senior Staff Engineer (AI Developer - DevSecOps Tools)

Nagarro -
Mumbai, Maharashtra

Quick apply

Job details

Full-time
2 hours ago

Qualifications

Jira
BCS
CI/CD
Azure
Law
Computer Science
Kubernetes
PyTorch
Software deployment
NumPy
Git
Google Cloud Platform
Master's degree
Microservices
CEH
MCA
Pandas
OS Kernels
AWS
Analysis skills
Docker
Cloud security
Bachelor's degree
Machine learning
Terraform
Continuous integration
REST
Natural language processing
GitHub
APIs
ServiceNow
Agile
Flask
AI
CompTIA Security+
AWS Certified Security – Specialty
Jenkins
GitLab
Communication skills
Python
SDLC
Information Technology

Full job description

Company Description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Requirements

Experience : 7.5+ years
Strong software engineering experience with good hands-on experience developing AI/ML or security automation solutions.
Strong programming expertise in Python with hands-on experience using libraries such as Scikit-learn, PyTorch, Pandas, and NumPy.
Experience developing AI-powered applications involving machine learning, large language models (LLMs), automation, or intelligent workflows.
Strong understanding of DevSecOps practices and hands-on experience with security tools including SAST, SCA, secrets detection, IaC scanning (Checkov, Terrascan), and container image scanning (Trivy).
Experience integrating security automation into CI/CD platforms such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
Hands-on experience with Docker, Kubernetes (AKS/EKS preferred), and container security best practices.
Working knowledge of policy-as-code frameworks such as OPA/Rego and Kubernetes security enforcement.
Experience with LLM APIs including Azure OpenAI or OpenAI, along with prompt engineering, Retrieval-Augmented Generation (RAG), and AI-assisted code analysis.
Experience building REST APIs and microservices using FastAPI or Flask.
Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and cloud-native security concepts.
Knowledge of Infrastructure-as-Code technologies including Terraform, ARM templates, and Helm.
Experience with secrets management solutions such as HashiCorp Vault or Azure Key Vault.
Understanding of MLOps practices, model deployment, monitoring, drift detection, and CI/CD for machine learning solutions.
Experience working with event-driven architectures and messaging platforms such as Azure Event Hub, AWS EventBridge, or Google Cloud Pub/Sub.
Familiarity with cloud security platforms such as Prisma Cloud, Wiz, Aqua Security, or Snyk is an advantage.
Exposure to LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks is desirable.
Knowledge of GitOps tools such as ArgoCD or Flux and policy frameworks including HashiCorp Sentinel or Cedar is preferred.
Experience integrating security tools with platforms such as Jira, ServiceNow, or Azure Sentinel SOAR is an added advantage.
Strong analytical, troubleshooting, and problem-solving skills with the ability to develop scalable and secure enterprise solutions.
Excellent communication and collaboration skills with experience working in Agile and cross-functional development environments.
Bachelor's degree in Computer Science, Information Technology, Engineering, MCA, or a related field.
Security certifications such as CompTIA Security+, CEH, CKS, SC-200, or cloud security certifications (AZ-900, AWS Security Specialty, GCP Professional Cloud Security Engineer) are desirable.

Responsibilities

Design, develop, and maintain AI-powered automation solutions that integrate security into CI/CD pipelines and the software development lifecycle.
Build intelligent security automation for CI/CD platforms such as Azure DevOps, GitHub Actions, Jenkins, and GitLab CI, implementing policy-as-code, security gates, and pre-merge vulnerability checks.
Develop machine learning models to detect pipeline anomalies, including suspicious code commits, dependency changes, and build integrity violations.
Build and enhance LLM-powered remediation assistants for Infrastructure-as-Code (IaC) using Terraform, ARM templates, Helm charts, Checkov, and Terrascan.
Develop Retrieval-Augmented Generation (RAG) pipelines leveraging internal security policies, compliance standards, and hardening guidelines to provide contextual remediation recommendations.
Design and implement agentic AI workflows that orchestrate multiple security tools, consolidate scan results, prioritize findings, and automate ticket creation.
Develop NLP-based solutions to parse, classify, summarize, and analyze security scan outputs across diverse tools and report formats.
Build scalable RESTful APIs and microservices using FastAPI or Flask to expose AI-powered DevSecOps capabilities.
Develop integrations between security platforms, enterprise SIEM/SOAR solutions, ticketing systems, and developer platforms.
Automate container and Kubernetes security workflows, including image scanning, runtime security monitoring, and policy enforcement using OPA/Gatekeeper.
Build event-driven automation pipelines leveraging cloud-native messaging services for real-time security event processing.
Develop dashboards and reporting solutions to monitor security posture, remediation metrics, SLA compliance, and pipeline health.
Write unit tests, integration tests, and participate in peer code reviews to ensure code quality and reliability.
Monitor deployed AI models and automation services, implement model performance monitoring, drift detection, and automated retraining processes.
Maintain CI/CD pipelines for AI model deployment using MLOps platforms such as Azure ML, MLflow, or equivalent technologies.
Prepare technical documentation including API specifications, architecture diagrams, integration patterns, operational runbooks, and data models.
Collaborate with engineering, DevSecOps, cloud, and security teams to continuously improve automation reliability, security coverage, and developer experience.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Quick apply

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senior devsecops engineer jobs in mumbai maharashtra

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