Urgent! DevSecOps Engineer (MLOps / AIOps) Job Opening In Noida – Now Hiring Arrow Electronics
**Position:**
DevSecOps Engineer (MLOps / AIOps)
**Job Description:**
**Responsibilities:**
+ Lead the foundational setup of the organization's MLOps and AIOps functions — including architecture, tooling, governance, and workflows — aligned with business and data strategy.
+ Define and implement the MLOps roadmap: identify key use cases, standardize model development lifecycle, and architect scalable pipelines using AWS-native services.
+ Establish the AIOps practice by implementing observability, automated incident response, and intelligent monitoring using Amazon CloudWatch, DevOps Guru, AWS X-Ray, and other tools.
+ Select and integrate appropriate AWS services (e.g., SageMaker, Bedrock, Lambda, Glue, CodePipeline) to build a flexible and secure MLOps and AIOps infrastructure.
+ Collaborate with stakeholders across data science, DevOps, engineering, and security to ensure the smooth operationalization of AI/ML models from development to production.
+ Develop governance, monitoring, and compliance frameworks for AI/ML lifecycle, ensuring data security, lineage, traceability, and auditability.
+ Design and implement model CI/CD workflows from scratch using tools like SageMaker Pipelines, CodeBuild, Terraform, GitHub Actions, and CloudFormation.
+ Build out data pipelines and feature engineering workflows on AWS using services like AWS Glue, S3, Step Functions, Athena, and Redshift.
+ Establish and evangelize best practices for model monitoring, drift detection, and continuous retraining using SageMaker Model Monitor, Clarify, and CloudWatch.
+ Lead the adoption of AI copilots and Agentic AI (e.g., GitHub Copilot, Amazon Q, Bedrock agents) to improve developer productivity, code quality, and automation.
+ Develop a strategy for real-time data observability and health monitoring using open-source and AWS-native tools, integrated into the broader data ecosystem.
+ Provide thought leadership and mentoring to build internal capability in MLOps and AIOps, including training team members and defining reusable standards.
+ Define and implement security-first principles for ML pipelines, ensuring IAM policies, encryption, and secrets management follow AWS best practices.
+ Drive adoption of infrastructure-as-code (IaC) for ML platform provisioning and reproducibility using Terraform or CloudFormation.
**Qualifications and Experience:**
+ Bachelor’s degree in Software Engineering, Computer Science, Computer Engineering, or a related engineering discipline; Master’s degree (preferably from IIT/IISc or other premier institutes) is a strong advantage.
+ 5+ years of hands-on experience in designing, implementing, or supporting AI/ML workloads on AWS, with a strong focus on cloud-native architecture, automation, and operationalization.
**Skills and Abilities Required:**
+ Expertise in scripting/development using Python, AWS SDKs (boto3), Bash, and infrastructure scripting languages.
While following development best practices.
+ Expertise in Terraform & CloudFormation.
+ Experience with AWS Services like STS, IAM, Lambda, S3, CloudWatch, Glue, SageMaker, QuickSight, Athena, Bedrock, EventBridge, etc.
+ Experience integrating Agentic AI systems into software development workflows
+ CI/CD security scanning, compliance enforcement, observability
+ Good Communication and documentation skills.
+ Can-do positive attitude, always looking to accelerate development.
+ Driven commit to high standards of performance and demonstrate personal ownership for getting the job done.
+ Innovative and entrepreneurial attitude, stays up to speed on all the latest technologies and industry trends; healthy curiosity to evaluate, understand and utilize new technologies.
**Good to have:**
+ Experience with Amazon Q, Bedrock Agents, or similar generative AI agents.
+ Development experience in python.
+ Exposure to open-source observability stacks like Prometheus, Grafana, and ELK.
+ Knowledge of enterprise data governance frameworks and tools (e.g., AWS Lake Formation, Apache Atlas).
+ AWS Certifications such as: AWS Certified Machine Learning – Specialty, AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect – Associate or Professional
**Location:**
IN-UP-Noida, India-World Trade Tower (eInfochips)
**Time Type:**
Full time
**Job Category:**
Engineering Services
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws.
Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.
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Unlock Your DevSecOps Engineer Potential: Insight & Career Growth Guide
Real-time DevSecOps Engineer Jobs Trends in Noida, India (Graphical Representation)
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Great news! Arrow Electronics is currently hiring and seeking a DevSecOps Engineer (MLOps / AIOps) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Arrow Electronics adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a DevSecOps Engineer (MLOps / AIOps) Jobs India varies, but the pay scale is rated "Standard" in Noida. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your DevSecOps Engineer (MLOps / AIOps) interview at Arrow Electronics, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Arrow Electronics's products or services and be prepared to discuss how you can contribute to their success.
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