Note: The job is a remote job and is open to candidates in USA. The company provides a Composable Customer Data Platform and AI Decisioning platform that help businesses activate customer data for personalization and operations. The Software Engineer will build and optimize distributed systems powering the customer data syncing engine, working on scalability, performance, reliability, streaming, and multi-region infrastructure.

Responsibilities

• We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on
• You will own and deliver projects from start to finish
• You will work directly with customers to solve their hardest scaling problems
• Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly
• Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues
• Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth
• Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with
• Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Skills

• 7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
• Have been part of high velocity startup through high stages of growth,​ Series B -​ Series E (i.​e Stripe,​ Kong,​ Semgrep) (Mandatory)
• Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
• Have graduated from a top 30 CS program such as:​ University of Waterloo,​ Harvard,​ Columbia,​ Princeton,​ Stanford,​ UC Berkeley,​ MIT,​ CMU,​ CalTech,​ Cornell,​ Duke,​ Dartmouth,​ Brown,​ IITs (Mandatory)
• Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
• You've created event collection or data streaming services that power company critical systems ( work with message queues,​ Kafka,​ SQL databases,​ Kubernetes,​ Docker) (Mandatory)
• You've owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
• Extremely strong communication skills,​ and are a fast learner who is excited to take on the challenges we face (Mandatory)
• You've built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
• Work close to the infrastructure layer of code,​ someone who knows how even the tools (i.​e.​ spark,​ flink,​ kafka) are built (Nice-to-have)

Benefits

• Benefits
• Equity
• Visa sponsorship available
• Fully remote role for US/Canada candidates

Company Overview