DevOps Engineer
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Job Description
DevOps Engineer supporting cloud infrastructure and AI tools for a digital marketing company. Ensuring reliable and secure systems while collaborating with various integrations and data pipelines.
Responsibilities:
- Support and maintain the systems that power our internal AI tools and reporting engine
- Work closely with cloud infrastructure, integrations, and data pipelines to ensure our platforms are reliable, secure, and well-documented
- Maintain and support existing internal systems written in Python and running on Google Cloud
- Monitor system health, investigating issues and responding to alerts across ingestion, processing, and reporting workflows
- Support and optimize data ingestion pipelines that combine API-based and batch data from third-party partners and internal systems
- Manage and maintain MongoDB data stores to ensure reliability, performance and schema consistency
- Troubleshoot integration issues, credential errors, permission conflicts and data inconsistencies
- Apply security best practices related to access controls, credentials and sensitive data handling
- Collaborate with leadership to document system logic, explain technical behavior and identify areas for improvement
- Coordinate with external development partners as needed to support ongoing maintenance and updates
Requirements:
- Bachelor's degree in computer science, software engineering or a related field
- Experience using Python and JavaScript for scripting, debugging, and troubleshooting production systems
- Hands-on experience supporting cloud infrastructure in a business setting, including deploying and managing resources such as databases, network connections, credentials, and permissions
- Familiarity with cloud platforms (Google Cloud preferred), including credential management, access controls, and security best practices
- Experience working with API integrations and batch data ingestion processes
- Hands-on experience debugging, maintaining, and enhancing existing production codebases
- Experience working with data stored in MongoDB or similar NoSQL databases, including schema consistency and performance considerations
- Ability to work with systems that handle sensitive or personal data and navigate layered permissions and organizational complexity
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
- Familiarity with Zapier, HubSpot, or similar integration platforms (nice to have)
- Exposure to data ingestion pipelines, ETL processes, or reporting systems (nice to have)
Benefits:
- 100% company paid health insurance for employees and 50% for dependents
- 100% company paid vision and dental insurance for employees and 50% for dependents
- Company paid short- and long-term disability
- Company paid life insurance
- 10 weeks paid parental leave
- 3-4 weeks paid time off (based on tenure)
- 10 paid holidays
- Company paid 401k contributions that are 100% vested
- Annual cash bonuses based on company and personal performance
- A choice of five 8-hour schedules with start times between 7 am and 11 am EST, available after 30 days
- Monthly fitness reimbursement
- Pet discount plan
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