DataOps Engineer
United States of America
Full Time
19 hours ago
H1B Sponsor Likely
Key skills
PythonGoBashETLELTSnowflakeAWSKubernetesDockerJenkinsAnsibleHelmMySQLRedisMSSQLElasticsearchRabbitMQCollaboration
About this role
Intermedia Intelligent Communications is a leading provider of cloud communications and collaboration technology. They are seeking a proactive DataOps Engineer who will collaborate with the development team to deploy and maintain application infrastructure, support tooling development, and manage data pipelines and infrastructure.
Responsibilities:
- Collaborate closely with the development team to deploy and maintain application infrastructure
- Assist in the development and support of tooling to streamline the deployment and maintenance of our products
- Work with Kubernetes, Docker, and Helm to deploy applications from development through to production environments
- Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting
- Write and manage automation pipelines for application deployment and maintenance
- Engage in the day-to-day management of Linux servers via the command line
- Document processes and best practices clearly and concisely
- Assist in deploying, monitoring, and maintaining data pipelines, ETL/ELT processes, and data infrastructure
- Collaborate with data engineers to support data workflows and ensure timely and accurate data delivery
Requirements:
- 3-5 years of experience in DevOps Engineering or a related field
- Experience with Linux command line and networking, particularly within Kubernetes environments
- A willingness to dive into both complex systems and more routine tasks, ensuring that everything runs smoothly
- A foundational understanding of security best practices
- An eagerness to learn and adopt best practices around containerization and application performance within containers
- Experience working with distributed and remote teams
- An understanding of scripting languages like Bash, Python, or Go
- Experience with Kubernetes and Helm templating
- Familiarity with cloud infrastructure, particularly AWS
- Previous experience with tools such as Elasticsearch, RabbitMQ, MySQL, Ansible, Redis, and Jenkins
- Experience with data warehouse products such as MSSQL and Snowflake