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Production Support Engineer - RevOps Team

extra holidays - extra parental leave

Remote:

Full Remote

Salary:

38 - 38K yearly

Work from:

India

Offer summary

Qualifications:

2-4 years experience in production support., Proficiency in SQL and Tableau., Strong skills in Excel and Redshift., Familiarity with Python is a plus..

Key responsabilities:

Monitor application performance and manage incidents.
Collaborate with teams for alerting strategies.

QuinStreet SME http://www.quinstreet.com

501 - 1000 Employees

See all jobs

Job description

Powering Performance Marketplaces in Digital Media

QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks.

Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

We believe in:

The direct measurability of digital media.
Performance marketing. (We pioneered it.)
The advantages of technology.

We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel.

Job Title: Production Support Engineer - RevOps Team

Experience: 2-4 Years

Location: Remote / On-site (depending on the role and region)

Job Description:

We are seeking a motivated and skilled Production Support Engineer to join our RevOps team. In this role, you will ensure the continuous uptime of our application systems by monitoring alerts, managing production incidents, and supporting product operations. You will collaborate with cross-functional teams to implement effective alerting strategies, manage post-mortems, and drive improvements to prevent future issues.

As part of the RevOps team, you will be responsible for owning the post-mortem process for outages and ensuring thorough documentation is maintained. Additionally, you'll participate in pager duty support for addressing escalated issues related to applications or data pipelines.

Key Responsibilities:

Alerting and Monitoring: Use alerting tools to monitor application performance. Build and configure alerts to proactively detect and address production outages.
Cross-functional Collaboration: Work closely with the product, marketplace, and business teams (client and media) to ensure comprehensive alerting coverage and swift resolution of production outages.
Incident Management: Respond to and resolve escalated production issues, ensuring minimal disruption to business operations and customer experience.
Post-Mortem Ownership: Own the post-mortem process for production outages. Analyze incidents, document findings, and collaborate with relevant teams to implement corrective actions and avoid future similar issues.
Documentation: Maintain thorough documentation of production incidents, actions taken, and lessons learned to improve incident response and application reliability.
On-call Support: Be on pager duty for a minimum of 2 days per week, including weekends and holidays, to resolve any issues related to applications or data pipelines.

Required Skills:

SQL: Solid experience in SQL for querying databases, data manipulation, and troubleshooting.
Tableau: Proficiency in Tableau for data visualization and reporting.
Excel: Strong skills in Excel, including advanced formulas and data analysis techniques.
Redshift: Familiarity with Amazon Redshift for data warehousing and querying large datasets.
MS SQL Server: Experience working with MS SQL Server for database management and querying.
Python (Optional): Familiarity with Python scripting for automation and monitoring is a plus.

Desired Skills:

Alerting Tools (e.g., DataDog): Experience working with alerting tools like DataDog to set up and monitor application and pipeline alerts.
Familiarity with data engineering concepts and pipeline management.
Experience with cloud-based environments (AWS, GCP, Azure).

Additional Information:

Pager Duty: This role requires being on pager duty for a minimum of 2 days per week, including weekends and holidays, to address any issues related to applications or data pipelines. The role can be performed remotely as long as you have internet access.
Vacation: Vacation plans must be coordinated with a substitute, as required.

If you're looking for an exciting opportunity to support cutting-edge applications in a dynamic and collaborative team, we would love to hear from you!

QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

Please see QuinStreet’s Employee Privacy Notice here.