Equal Opportunity Employer Statement
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
Must Have Technical Skills
- Seeking a highly skilled DevSecOps Engineer to design, implement, secure, automate, and operate enterprise-scale Generative AI (GenAI), Agentic AI, and Agentic Coding platforms.
- This role will focus on building secure, scalable, resilient, and cloud-native AI ecosystems that support Large Language Models (LLMs), AI agents, autonomous workflows, AI-assisted software engineering, Retrieval-Augmented Generation (RAG), and enterprise AI applications.
- The ideal candidate will possess deep expertise in DevSecOps, cloud platforms, Kubernetes, Infrastructure as Code (IaC), AI/ML operations, AI security, threat modeling, autonomous agents, and AI-driven software engineering.
- This individual will play a critical role in integrating security throughout the AI lifecycle while ensuring governance, compliance, observability, operational excellence, and platform reliability.
Roles and Responsibilities
- Design, build, and maintain secure, scalable, and highly available GenAI, Agentic AI, and Agentic Coding platforms.
- Develop and manage CI/CD pipelines for AI applications, AI agents, LLM deployments, and cloud-native services.
- Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC).
- Manage containerized workloads using Docker, Kubernetes, OpenShift, and Helm.
- Enable enterprise-scale deployment and lifecycle management of AI applications and services.
- Establish standards, templates, reusable automation frameworks, and engineering best practices.
- Design, deploy, and manage Agentic AI frameworks and autonomous AI workflows.
- Design and implement secure Agentic Coding platforms to accelerate software development and infrastructure automation.
- Enable autonomous software engineering capabilities using Devin AI and related AI coding agents.
- Integrate AI coding platforms into DevSecOps, CI/CD, Infrastructure as Code, AgentOps, and Platform Engineering workflows.
- Implement automated validation, testing, vulnerability scanning, and policy enforcement for AI-generated artifacts.
- Apply MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) to identify and mitigate threats targeting AI systems.
- Perform AI threat modeling using MITRE ATLAS attack patterns and adversarial techniques.
- Map AI risks and attack scenarios to MITRE ATLAS and MITRE ATT&CK frameworks.
Generic Managerial Skills
- GitHub Actions - GitLab CI/CD, Jenkins, Terraform, Ansible, Python, Infrastructure as Code (IaC)
- AI, GenAI & Agentic AI - OpenAI APIs, Llama Models, LangChain, LangGraph, OpenAI Agents SDK, MCP, AI Orchestration Frameworks
- Agentic Coding & AI Software Engineering - Devin AI (Primary), Cursor AI, GitHub Copilot Enterprise
- Database & Enterprise Integrations - SQL Server, PostgreSQL, MySQL, REST APIs, Jira, GitHub
Location
Toronto, ON
Accessibility Statement
Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.
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