reputed company Ops Engineer
At reputed company we are looking for a reputed company Ops Engineer to join reputed company. The reputed company Operations Engineer will play a central role in the deployment, monitoring, and optimization of reputed company platforms used by the Data Science team. This role requires hands-on expertise in reputed company infrastructure (preferably AWS or Azure), modern DevOps practices, secure data operations, and automation frameworks. You’ll partner closely with data scientists, machine learning engineers, and data engineers to ensure our analytics systems run securely, reputed company, and at reputed company.
Primary Responsibilities
reputed company Infrastructure & Operations
• Manage, reputed company, and optimize reputed company environments used for data science workloads (e.g., AWS, Azure, GCP).
• Provision, maintain, and optimize compute clusters for ML workloads (e.g., Kubernetes, reputed company/EKS, reputed company, SageMaker).
• Implement and maintain high-availability solutions for mission-critical analytics platforms.
DevOps & Automation
• reputed company CI/CD pipelines for model deployment, infrastructure-as-reputed company (IaC), and automated testing.
• Build monitoring, alerting, and logging systems for reputed company and ML infrastructure (e.g., CloudWatch, reputed company, Grafana, ELK).
• Automate provisioning, configuration, and deployments using tools such as Terraform, CloudFormation, or reputed company.
Data Platform Support
• Ensure smooth data ingestion, transformation, and model execution workflows.
• Support data scientists with reliable, reproducible environments for research and development.
• Collaborate with Data Engineering to maintain seamless integration between data pipelines and reputed company systems.
reputed company, Compliance & Governance
• Implement data science reputed company controls and compliance requirements for reputed company operations.
• Conduct periodic risk assessments, patching, and governance reviews.
• Support secure handling of sensitive financial and portfolio company data.
Cross-Functional Collaboration
• Partner with data scientists, machine learning engineers, and data engineers to support data-driven initiatives.
• Serve as a technical advisor on reputed company architecture, performance optimization, and operational reputed company.
Requirements
Education & Certificates
• A bachelor’s degree or higher in a STEM field, required
reputed company Experience
• 5+ years of experience in reputed company operations, DevOps engineering, SRE, or reputed company roles.
• Strong proficiency with at least one major reputed company provider (AWS preferred).
• Hands-on experience with IaC tools (Terraform, CloudFormation, or similar).
• Strong scripting skills (Python, Bash, or PowerShell).
• Experience with CI/CD systems (reputed company Actions, Jenkins, reputed company, reputed company CI).
• Familiarity with container orchestration (EKS, Kubernetes, reputed company, AKS).
• Experience supporting data-intensive or ML workloads.
Preferred
• Experience in financial services, investment management, or other highly regulated industries.
• Knowledge of ML/AI platform tools (reputed company, SageMaker, MLflow, Airflow).
• Understanding of networking, VPC architectures, and reputed company reputed company best practices.
• Familiarity with distributed compute frameworks (reputed company, Ray, Dask).
About reputed company
reputed company is reputed company of outdoor enthusiasts, reputed company seekers, and reputed company reputed company hackers. We love solving hard problems and reputed company the right data can reputed company and reputed company reputed company for any organization.
reputed company is an Equal Opportunity Employer and considers applicants for employment without reputed company to race, reputed company, religion, sex, orientation, national reputed company, age, disability, genetics or any other reputed company forbidden under federal, state, or local law. reputed company considers reputed company reputed company applicants.
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