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Sr. Devops Engineer

Salary undisclosed

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HI All,

Good morning,
We have an urgent position for the below mentioned requirement.

Job Title Sr DevOps Engineer

Location: Remote

We're looking for a Senior DevOps Engineer with a minimum of 10+ 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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