Senior Software Engineer, Ads

Instacart Instacart · Consumer · United States · Remote · Software Engineering

Senior Software Engineer for Instacart's Ads team, focusing on building and evolving world-class reporting solutions for advertisers and retailers. The role involves end-to-end development, processing petabyte-scale data for billing, strategic decisions, and partner management, and modernizing the ads platform.

What you'd actually do

  1. Lead the design and implementation of new ad formats.
  2. Collaborate across teams and across functions to set product requirements and long-term strategies.
  3. Uphold and elevate technical standards, ensuring superior code quality, test coverage, and system performance.
  4. Embrace cross-functional roles and tackle challenges beyond just code to amplify product outcomes.

Skills

Required

  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, or equivalent proven industry experience (4+ years).
  • 5+ years of experience in software engineering.
  • Comprehensive understanding of distributed systems
  • proven experience with data processing technologies such as DBT and Airflow
  • common web frameworks such as Rails.
  • Highly proficient with SQL, capable of writing and reviewing complex queries for data analysis and debugging.
  • design for scale with the entire system in mind.
  • Solid communicator, comfortable seeking and receiving feedback.
  • Strong analytical and debugging skills.
  • Strong sense of ownership working with a large codebase and diverse suite of products.
  • A collaborative mindset to be able to partner with engineers, designers and PM's from multiple teams to co-create impactful solutions while supporting system contributions.
  • Strong organizational skills with the ability to communicate and present ideas clearly and influence key stakeholders at the manager, director, and VP level.

Nice to have

  • Prior work experience in the digital advertising industry.
  • Experience with big data technologies such as Spark, Hadoop, Flink, Hive or Kafka, and with both streaming and batching data pipelines.
  • Proven experience with distributed system design.
  • Strong general programming and algorithm skills.
  • Strong attention to detail and accuracy in the implementation, keen eye for edge cases and code reviews.
  • Data driven mindset.

What the JD emphasized

  • petabyte-scale data
  • billing
  • strategic decision-making
  • partner management
  • reporting solutions
  • data processing technologies such as DBT and Airflow
  • big data technologies such as Spark, Hadoop, Flink, Hive or Kafka
  • streaming and batching data pipelines