Site Reliability engineer

  • Austin, TX
  • Posted 6 hours ago | Updated 6 hours ago

Overview

On Site
Contract - W2
75% Travel

Skills

MLOps

Job Details

Hello

My name is Shubham Pal and I am a Staffing Specialist at Sapear Inc. I am reaching out to you on an exciting job opportunity with one of our clients.

Title: Site Reliability Engineer SRE ML platform

Location: Austin, TX OR Sunnyvale, CA

Type: FTE/ FTC

Responsibilities:

  • Continuous Deployment using GitHub Actions, Flux, Kustomize
  • Design and implement cloud solutions, build MLOps on cloud AWS
  • Data science model containerization, deployment using docker, VLLM, Kubernetes
  • Communicate with a team of data scientists, data engineers and architects, document the processes
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
  • Knowledge of ML models and LLM

Qualifications:

  • 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.
  • Good understanding of Apache SOLR.
  • Proficient with Linux administration.
  • Knowledge of ML models and LLM.
  • Ability to understand tools used by data scientists and experience with software development and test automation
  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)
  • Experience working with cloud computing and database systems
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience developing and maintaining ML systems built with open-source tools
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes
  • Experience developing containers and Kubernetes in cloud computing environments
  • Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
  • Ability to translate business needs to technical requirements
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Exposure to machine learning methodology and best practices
  • Good communication skills and ability to work in a team

Note: Focus is to have 60% SRE and 40% ML Ops

Skill Area

Includes

Weight (%)

Platform Reliability & Containerization

Kubernetes, Docker, Microservices, Linux

30%

MLOps & AWS Cloud

Model deployment, versioning, monitoring, AWS (SageMaker, S3, Lambda, EKS)

25%

CI/CD & GitOps

GitHub Actions, Flux

15%

Monitoring & Observability

Splunk, Grafana, Prometheus, performance tracking

15%

Integration & Collaboration

Python scripting, API integrations, Apache Solr, LLM awareness, teamwork with data scientists & engineers

15%

Shubham Pal

Lead Business Development Manager

Sapear Inc.

Email :

Cell : +1

We are hiring:

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