Senior Data DevOps Engineer

EPAM Systems; Brasil; Teletrabalho; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a Senior Data DevOps Engineer to join their remote team. You will develop and maintain large-scale big data infrastructure, collaborating with cross-functional teams to ensure reliability, scalability, and performance. This position offers international projects, healthcare benefits, and global career opportunities in a diverse environment.

Serviços

International projects with top brands

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Unlimited access to the LinkedIn Learning library

Volunteer and community involvement opportunities

Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn

Qualificações

• At least 3 years of experience in DevOps focused on data infrastructure.
• Fluent spoken and written English at an upper-intermediate level or higher.

Responsabilidades

• Develop and maintain infrastructure as code for big data components.
• Collaborate with cross-functional teams to design and maintain data pipelines.
• Continuously improve performance and scalability of big data infrastructure.

Conhecimentos

Terraform

Kubernetes

Python

SQL

Shell Scripting

Ferramentas

AWS

Azure

GCP

Descrição da oferta de emprego

1 week ago Be among the first 25 applicants

We are seeking a Senior Data DevOps Engineer to join our remote team, working on a cutting-edge project that involves developing and maintaining large-scale big data infrastructure.

In this role, you will play a crucial role in ensuring the reliability, scalability, and performance of our big data infrastructure. You will work closely with cross-functional teams, including data scientists, data engineers, and software developers, to deploy, operate, monitor, optimize, and troubleshoot our big data infrastructure.

Responsibilities

• Develop and maintain infrastructure as code for big data components, using tools such as Terraform, Kubernetes, and Helm
• Deploy, operate, monitor, optimize, and troubleshoot large-scale big data infrastructure, ensuring high availability, reliability, and performance
• Collaborate with cross-functional teams, including data scientists, data engineers, and software developers, to design, implement, and maintain data pipelines and processing workflows
• Automate data processing tasks, using shell scripts, Python, and other programming languages
• Ensure compliance with security and data privacy policies and regulations
• Participate in on-call rotation to provide 24/7 support for critical production systems
• Continuously improve the performance, scalability, and reliability of our big data infrastructure, using monitoring and alerting tools
• Provide technical guidance and mentorship to junior team members
  
  
  

Requirements

• At least 3 years of experience in DevOps, with a focus on data infrastructure and operations
• Hands-on experience with big data components
• Expertise in deploying, operating, monitoring, optimizing, and troubleshooting large-scale big data infrastructure
• Proficient in shell scripting, Python, and SQL, with a deep understanding of data pipeline and data processing concepts
• Experience in cloud computing platforms, such as AWS, Azure, and GCP, with a focus on cloud operations and infrastructure as code development and maintenance
• Proficiency in infrastructure automation tools, such as Terraform, CloudFormation, CDK, and Kubernetes
• Strong knowledge of Unix-based operating systems and networking concepts
• Fluent spoken and written English at an upper-intermediate level or higher
  
  
  

Nice to have

• Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, and Scikit-learn
• Familiarity with data visualization tools, such as Tableau and Power BI
• Knowledge of container orchestration platforms, such as Docker Swarm and Amazon ECS
• Experience with CI/CD pipelines, using tools such as Jenkins and GitLab
  
  
  

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Business Development

• Industries

  Software Development, IT Services and IT Consulting, and Technology, Information and Internet

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