Senior Staff Software Engineer

• Design and build high-performance, reliable, and scalable reporting APIs and data pipelines
• Lead high-level architecture discussions and planning sessions work with ad measurement, revenue and addressability data
• Work with various teams of engineers building software in a collaborative development process
• Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively
• Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent
• Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team
• Responsible for conducting technical interviews as needed, ensuring a consistently high bar for engineering excellence and performance standards
• Responsible for mentoring and guiding junior engineers.

• Bachelor’s Degree in Computer Science/Mathematics or a similar field
• 8+ years of software engineering experience in Java programming language (preferably JDK17 or higher)
• 5+ years of experience developing and designing data applications and data pipelines
• 8+ years of experience crafting microservices and scalable products, utilizing diverse cloud platforms (ideally AWS)
• Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing
• Ability to work independently and oversee entire projects or significant parts, focusing on completing the tasks on time
• Proven ability to research and become proficient in new technologies
• Strong analytical and problem-solving skills, with meticulous attention to detail and a dedication to continuous improvement
• Proficiency in constructing detailed software architecture diagrams
• Interpersonal skills and ability to interact and work with staff at all levels
• REST API-based microservices using Python, Java or similar
• Cloud data warehouse & analytics platforms (Snowflake, BigQuery)
• Designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics
• Caching implementations (like Redis, Memcached, etc.)
• Messaging platforms and stream data processing (like Kafka, Flink, Pub/Sub)
• Data pipeline expectations framework experience (like Monte Carlo data, Great Expectations, Soda)
• Working with containers (Docker, Kubernetes)
• Observability tools like Prometheus, Grafana, ELK stack
• Collaboration tools like Miro (or Lucidchart), Jira and Confluence
• Must have legal right to work in the U.S.

• Nice to have expertise in Designing and maintaining Public APIs and data contracts
• Nice to have Security basics (e.g., OAuth2 standard)
• Nice to have Foundational Amazon Cloud Services, like S3, CloudTrail, SQS, SNS, Lambda, API Gateway, ElasticCache, Athena, Kinesis, EKS, Cognito, and others
• Nice to have NoSQL databases knowledge (Druid, DynamoDB, SingleStore, or others)
• Nice to have hands on experience with AI coding assistants and tools to help with coding and data analytics.

Discretionary short-term and long-term incentives