DataOps Engineer

Summary

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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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