Infosys is seeking a Lead DevOps Engineer with ML knowledge. DevOps experience with multiple cloud technologies (AWS or GCP), Architecting and designing solutions to improve reliability, scalability, and performance. Hands-on experience in building microservices, containers, and orchestrating deployments to various environments. This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
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Candidate must be located within Austin, TX or be willing to travel to these locations. This position may require travel in the US.
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of hands-on experience in Docker and KUBERNETES
Experience in AI/ML
At least 3 years of experience in Unix/Linux Usage
Working knowledge of CICD, ArgoCD, GitOps using FluxCD, Jenkins, Ansible, Terraform automation
Linux Internals/ Networking and AWS networking knowledge on VPC, NAT, DNS, Gateways etc
SRE /Application Support - Troubleshooting logs, Identifying error patterns and familiarity with monitoring systems.
Working knowledge of Cluster Management, secret management tools, Certificate (SSL), Infrastructure Vulnerabilities, etc
Working experience on creating Splunk & Grafana dashboard.
Implementation knowledge on AWS Services on storage (EBS, EFS, S3, etc ), compute (EC2, EKS, etc), cost management, etc.
Maintain and troubleshoot Linux and AWS cloud instances
Able to write and access Java based Rest Services / API calls
Preferred Qualifications:
Gen AI Experience worked on frameworks like Langchain, TensorFlow/ PY Torch
At least 4 years of strong experience in Python
At least 2 years of experience in Machine Learning Ops.
Infra Performance evaluation to deploy small/mid-size and LLM models
Analytical skills
Experience and desire to work in a Global delivery environment.
Knowledge with full SDLC lifecycle
Experience with Lean / Agile development methodologies
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.