Leadership: Guide a team of engineers responsible for designing, developing, and maintaining low-latency, high-volume ad delivery systems.
Planning: Set and manage the strategic direction, goals, and vision for the engineering team in alignment with the overall organizational strategy.
Technical: Oversee the design, development, and optimization of highly scalable, distributed systems using Java, Scala, or C++.
Collaboration: Partner with other team leads and stakeholders across geographies to deliver on shared objectives/goals.
Staff Development: Mentor individual team members, promoting a culture of innovation and excellence; nurture their career progression.
Data Engineering and ML: Responsible for delivering and operating efficient data pipelines and applying machine learning techniques to enhance ad targeting and measurement.
You will be creative in developing the right tools and metrics to ensure the success of the platform and features.
You will help tune and solve issues, and have an eye for quality and correctness in all you do.
You will be called upon to communicate complex issues to product and business teams and drive the right balance of business and engineering impact.
You will drive, advocate and build consensus on design, coding and team best practices.
The role will require smooth collaboration across multiple partners in multiple geo-locations.
12+ years of Industry experience in designing, implementing and delivering complex, scalable and resilient platforms and services
BS in Computer Science or equivalent degree
Experience in managing and mentoring a team of impactful software engineers working on internet-scale products.
Experience in building low-latency and high-throughput distributed systems or services.
Hands-on experience in Java, Scala or C++.
Experience with big data technologies (Spark/Kafka/Kubernetes/Spark streaming) and other open source data technologies
Experience in NoSQL data-stores (e.g Cassandra, Elastic Search/Solr), OLTP
Sound experience in Cloud technologies (e.g AWS)
Ability to understand vague business problems and convert them into working solutions
MS in Computer Science preferred
Excellent spoken and written interpersonal skills with a collaborative mindset.
Dedication to developing high-quality software and products
Curiosity to explore and understand data is a strong plus
Prior experience in the areas of AI/ML/Data Sciences will be a plus