Level

Novartis

Sr. DevSecOps Engineering

AI in this role

Job Description Summary

Internal Title: Sr. Specialist DDIT US&I DevSecOps Engineering
#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes

Imagine being at the forefront of secure innovation, where every deployment, cloud platform, and AI solution you enable helps accelerate business impact without compromising security. As a Senior DevSecOps Engineer, you will play a critical role in embedding security, automation, and operational excellence across the software development lifecycle. Working with cloud, engineering, architecture, and cybersecurity teams, you will shape scalable DevSecOps practices, modernize delivery pipelines, and enable secure AI, data, and application platforms that power the future of digital transformation. This is an opportunity to influence enterprise-wide engineering standards while driving meaningful improvements in security, reliability, and developer productivity.


 

Job Description

Key Responsibilities

  • Design and maintain secure, scalable CI/CD pipelines across cloud, application, data, and AI platforms.
  • Embed security controls throughout development, testing, deployment, and production operations.
  • Integrate code quality, vulnerability scanning, and compliance checks into automated delivery pipelines.
  • Implement Infrastructure as Code solutions for consistent, repeatable, and auditable environments.
  • Build and support containerized deployments using Kubernetes and cloud-native technologies.
  • Enable secure cloud architectures across compute, networking, identity, monitoring, and storage services.
  • Drive vulnerability management through identification, prioritization, remediation, and continuous risk reduction.
  • Implement observability, monitoring, logging, and alerting across applications, infrastructure, and security domains.
  • Establish secure release management practices, deployment governance, and operational resilience standards.
  • Mentor engineering teams on DevSecOps, cloud security, automation, and secure software delivery practices.

Essential Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related field.
  • 8+ years of experience in DevSecOps, Cloud Engineering, Platform Engineering, Site Reliability Engineering, or Application Security.
  • Strong experience designing and managing enterprise-scale Continuous Integration and Continuous Delivery pipelines.
  • Hands-on expertise implementing security controls including code analysis, dependency scanning, container security, and compliance validation.
  • Deep knowledge of cloud platforms, Infrastructure as Code, containerization, Kubernetes, and deployment automation.
  • Strong scripting, automation, problem-solving, and stakeholder communication skills in complex enterprise environments.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


 

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

How we score this

Sr. DevSecOps Engineering at Novartis scores 13 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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