About us:
L&T Technology Services Limited (LTTS) is a global leader in Engineering and R&D (ER&D) services. With 816 patents filed for 57 of the Global Top 100 ER&D spenders, LTTS lives and breathes engineering and technology. Our innovations speak for themselves – World’s 1st Autonomous Welding Robot, Solar ‘Connectivity’ Drone, and the Smartest Campus in the World, to name a few.
Description:
Associate with hands-on DevOps Principal Architect to lead the design, implementation, and evolution of our cloud-native infrastructure and DevOps strategy across AWS, Azure, and GCP. Having deep expertise in cloud platforms, automation, CI/CD, containerization, and a strong understanding of AI/ML workloads and their infrastructure needs.
Key Responsibilities:
- Architect and implement scalable, secure, and highly available cloud infrastructure across AWS, Azure, and GCP.
- Lead the DevOps strategy, including CI/CD pipelines, infrastructure as code (IaC), monitoring, and incident response.
- Collaborate with AI/ML teams to design infrastructure optimized for AI workloads, including GPU provisioning, model deployment, and data pipelines.
- Drive cloud cost optimization, governance, and compliance across multi-cloud environments.
- Evaluate and integrate emerging technologies to enhance automation, observability, and performance.
- Mentor DevOps engineers and promote best practices in cloud-native development and operations.
- Define and enforce security standards, including identity management, secrets handling, and vulnerability scanning.
- Partner with software architects and product teams to align infrastructure with business goals.
Required Qualifications:
- 12+ years of experience in DevOps, Cloud Architecture, or Infrastructure Engineering.
- Proven expertise in AWS, Azure, and GCP with certifications preferred.
- Strong experience with Terraform, Ansible, Helm, Kubernetes, and container orchestration.
- Deep understanding of CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, ArgoCD).
- Experience supporting AI/ML platforms (e.g., Kubeflow, MLflow, SageMaker, Vertex AI).
- Proficiency in scripting languages (Python, Bash, Go).
- Solid grasp of networking, security, and cloud governance.
- Excellent communication and leadership skills.
Preferred Qualifications:
- Experience with multi-cloud hybrid architectures.
- Familiarity with FinOps and cloud cost management tools.
- Exposure to data engineering and MLOps practices.
- Contributions to open-source DevOps or cloud-native projects.
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Thanks
Team HR
