About the team

Dialpad’s Ai Engineering team works centrally alongside Data Science, Telephony, and Product Engineering teams to produce The Good Ai. In this role, you’ll leverage and acquire a broad skill set ranging from Distributed Systems Engineering, DevOps, MLOps and Data Engineering to deliver functionality essential to powering Dialpad’s Ai products.

Your role

As a Software Engineer–Ai Data Platform, you’ll work with the team to own the development and uptime of Dialpad's real-time analytics pipelines, maintaining sub-second query and ingestion latencies to power all of Dialpad’s customer-facing insights. You’ll leverage open source technologies such as Apache Beam and Apache Pinot, as well as GCP data services such as BigQuery, PubSub and Dataflow to get the job done.  You’ll contribute directly to powering Dialpad’s Ai products at scale, working closely alongside the Data Science teams to unleash Ai features that work for our customers. 

This position reports to our Engineering Manager, Ai Engineering.

What you’ll do

First 3 Months

You’ll acclimate and be paired directly with a peer (in addition to your manager) whose job it will be to make sure you have the information and tools you need to be successful You’ll work primarily with Java, but we are strong believers in using the right tool for the job, making use of other languages where it makes sense to in our stack You’ll be exposed to Open Source Software. We employ many Open Source technologies to get the job done, and we love to contribute back to those communities. We also maintain Open Source codebases for libraries we’ve created ourselves

First 6 Months

You’ll collaborate. All levels of engineers on the team participate in authoring and reviewing PRs for code changes, and RFCs for more major system changes You’ll have the opportunity to deploy code daily on Google Cloud Platform using modern best practices like Kubernetes, Docker, and CI/CD Systems You’ll work with the team to continuously learn by constantly evaluating and applying state-of-the-art systems and techniques to ensure we build systems which are fault tolerant and highly scalable

First 12 Months

You’ll build and manage high-performance real-time data pipelines, taking significant ownership of key components of the stack You’ll share. Exploring knowledge and findings with teammates is highly encouraged, with weekly opportunities to host or attend learning sessions including members of both Engineering and Data Science teams

Technologies you know

Strong experience working with one or more JVM programming language(s) Direct experience with streaming ETL frameworks like Apache Beam, Apache Flink, Apache Spark Structured Streaming, or similar Experience or familiarity with with SQL Experience with a wide range of database systems like Snowflake, BigQuery, Redshift, Athena, Elasticsearch, Apache Pinot, Clickhouse, Apache Druid, or similar Understanding of Message Bus Systems like Apache Kafka, Google Pub/Sub, Redis Streams, or similar Experience with git or other version control systems

Skills you’ll bring

You have a Bachelor’s Degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent work experience You have 5+ years of experience in similar roles You have strong fundamentals in software engineering and computer science You’re excited to work on a distributed team; you value collaboration whether your teammate sits beside you or across an entire continent You are capable of handling data in real-time for customer-facing applications You have a strong desire to continuously learn You enjoy efficient evaluation of a problem space and finding the right tool for the job You measure & monitor everything ensuring stability, redundancy, and runtime You make data-driven decisions - Measure twice, cut once You enjoy working with and learning about data processing tools You enjoy learning from your experiences and sharing your knowledge with your team You work on diverse problems across different systems You appreciate code and system maintainability, and support continuous improvement

Bonus points for experience with:

A track record of Open Source contributions The Python ecosystem Cloud providers such as Google Cloud Platform or AWS

Dialpad benefits and perks

Equity, balance, and belonging

At Dialpad, we strive to ensure that Dialers are free to bring their full selves to work each day, and champion the intersectionality that exists between gender identity, ethnicity, age, disability status, and the many other aspects of our greater humanity.

Culture

We’ve been named a Top Workplace seven times, and a big part of this is because of our collaborative culture that elevates our teammates, celebrates wins, and brings together passion and talent. 

Compensation and equity

Teamwork makes the dream work, and Dialpad offers competitive salaries in addition to stock options because each and every Dialer participates in our success.

Benefits, time-off, and wellness

An apple a day keeps the doctor away—and it doesn’t hurt that we offer flexible time off and great options for medical, dental, and vision plans for all employees. Along with that, employees also receive a monthly stipend to help cover your cell phone bill, home internet bill, home office equipment, gym membership costs, a variety of wellness events, and more!

Continuing education

Dialpad offers a yearly stipend for continued learning and education expenses.