1. Collaborate with stakeholders to understand and translate business requirements into technical specifications and architectural designs.

2. Design, develop, and maintain scalable ad-serving and data pipelines. Architect and implement scaling solutions by introducing real-time data feed.

3. Evaluate and select appropriate technologies, tools, and frameworks for serving high-concurrency live events.

4. Consistent exercise of independent judgment and discretion in matters of significance.

5. Define and enforce SRE engineering best practices, standards, and guidelines to ensure quality, reliability, and consistency.

6. Conduct performance optimization, cost analysis, tuning, and troubleshooting of ad-serving infrastructure components to ensure optimal performance and resource utilization.

7. Stay abreast of emerging trends, technologies, and best practices in data engineering, cloud computing, and big data analytics.

8. Foster a culture of learning by providing mentorship, coaching, and constructive feedback to team members. Champion cross-team knowledge sharing and communication to break down silos and enhance collaboration.

1. Serves as a team leader within a workgroup or on cross-functional teams; accepts team lead stretch assignments, acts as a resource for colleagues with less experience. Presents to the broader senior leadership team. Understands other business units and how they affect the team and work.

2. Become an expert in FreeWheel Ad Serving, Data products. Work with the client service team to manage and deliver successful technical solutions.

3. Consistent exercise of independent judgment and discretion in matters of significance.

4. Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality.

5. Acts as a liaison between business owners and technical associates to ensure the data collected and processed is both actionable and relevant to the end goals.

6. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables to develop relational models.

7. Help shape FreeWheel strategy and be a champion bridging our customer's needs to engineer's implementation.

8. Develop tools to automate routine jobs through knowledge learned on the job.

9. Plug into the software release cycle. Work closely with developers to ensure software releases are well designed, planned, implemented, released, and monitored.

10. Automate time-consuming and manual processes as much as possible.

11. Support FreeWheel-powered live events such as Super Bowl, Olympic Games, March Madness, and World Cup.

12. Working on night-shift and weekends during on-call schedule.

1. Code-level debugging on issues escalated to the team.

2. Acts as a subject matter expert in one or more technical areas, such as data architecture, data engineering, or data manipulation within big data systems like Hadoop and SQL.

3. Solves critical issues and shares knowledge, such as trends, aggregate, and quantity volume regarding specific data sources.

4. Preemptively recognize and resolve technical issues utilizing knowledge of policies and processes.

Optimize data sources and processing rules to ensure appropriate data quality of all products utilizing troubleshooting, design, and development skills along with cross-system technical knowledge.

5. Creates technical documentation (internal) using the understanding of internal business areas and processes as-well-as working knowledge of database design, data manipulation, ETL, implementation, information storage & retrieval, and data flow & analysis.

1. Designed and implemented key features within core ad serving systems, spearheading the entire software development lifecycle from conception to maintenance.

2. Led and collaborated on multiple roadmap projects, working closely with product managers, project managers, solution engineers, and clients to ensure successful product delivery. Streamlined collaboration among global engineering teams.

3. Guaranteed product quality by executing comprehensive testing procedures, including functional testing, regression testing, performance testing, and unit testing. Contributed to product management and product release activities.

4. Partnered with the operations team to leverage cloud-native services on AWS and Kubernetes. Maintained distributed systems utilizing service-oriented architectures and enhanced production observability with Prometheus.

5. Empower junior team members through mentorship, providing ongoing guidance and feedback on their daily work.

1. Leverage machine learning and the R language to analyze existing acknowledgment ratio data through data modeling. By employing anomaly detection techniques, we can identify potential integration issues. This information can then be integrated with our monitoring infrastructure to automatically trigger alerts for the service team.

2. Increased the unit test coverage for the company's Go common lib.

3. Automated previously manual regression test cases and optimized the regression environment, resulting in a 100% pass rate and eliminating random test failures.