Sr. Devops Engineer--W2 at OORVI SYSTEMS INC

Job Title – Sr DevOps Engineer-- W2

Type - Remote

·         We're looking for a Senior DevOps Engineer with a minimum of 6+ years of experience. Your

·         experience and skills in Python, Go, Ops Engineering using AWS Cloud and Kubernetes, along

·         Your ability to lead and innovate in deploying CI/CD pipelines is key to being successful.

·         Your focus on scalable architecture, collaboration across teams, and continuous learning in

·         DevOps positions you well to tackle complex business problems and deliver impactful solutions.

Please include LinkedIn URL in the resume, resumes with no LinkedIn URL will be

Rejected.

Required Qualifications:

•        Ability to adapt to new technologies, tools, and methods in the rapidly evolving DevOps

·         landscape.

•        Experience with container orchestration - Kubernetes, Knative. Helm

•        Fundamental understanding of Kubernetes operators

•        Understanding of Docker

•        Exposure in large scale infrastructure platform experience

•        Experience working with Ansible Playbook and Ansible Tower

•        Experience with Python, GO and shell scripting

•        Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker,

·         Gitlab, Argo, Artifactory, etc.

•        Prior experience with ArgoCD is a plus.

•        Knowledge of networking (VPC)

•        Expertise in data engineering and pipeline creation using technologies like Apache

·         Spark, Apache Airflow, or Kafka for data processing and workflow automation.

•        Strong understanding monitoring and logging using tools like Prometheus, Grafana,

·         or the ELK stack (Elasticsearch, Logstash, Kibana) to ensure model performance in

·         production.

•        Experience with version control using Git/GitHub and model versioning tools like

·         MLflow, DVC, or TFX (TensorFlow Extended).

•        Ability to collaborate with cross-functional teams using Agile methodologies and

·         tools like Jira, Slack, or Confluence, aligning ML initiatives with business goals.

•        Strong problem-solving and analytical skills for model evaluation, optimization, and

·         addressing deployment challenges, using techniques like A/B testing, hyperparameter

·         tuning, and statistical analysis.

Education:

• Required: Bachelor’s degree in computer science, Engineering, Statistics, Physics, Math, or

related field or equivalent experience