About Dialpad
Dialpad is the leading Ai-powered customer communications platform creating human-first, Ai-enhanced solutions that will drive the next wave of how businesses communicate with and serve their customers. Enterprise customers like Randstad, Remax, Mizuho, Cigna, T-Mobile, Johns Hopkins, Motorola, Warby Parker, Panera Bread, and Netflix, use Dialpad and its Ai capabilities to deliver amazing customer experiences. Supported by notable investors such as Andreessen Horowitz, Google Ventures, and ICONIQ Capital, Dialpad is a dynamic force in Ai technology with a rapidly expanding presence. Visit dialpad.com to learn more.
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 and will be based in our Kitchener, Canada office.
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.
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
Teamwork makes the dream work, and Dialpad offers competitive salaries because each and every Dialer participates in our success.
Diversity, Equity, and Inclusion (DEI) at Dialpad
At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work Beautifully, Delight Our Users, and Innovate Continuously to bring our world-class product to life.
Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.
Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Top Skills
What We Do
Dialpad is a cloud-based business phone system that turns conversations into opportunities and helps global teams make smarter calls--anywhere, anytime. We bring simplicity to the professional phone experience and some of the world’s most innovative companies use our platform. Dialpad's products span video meetings, cloud call centers, sales coaching and dialers and enterprise phone systems--and are all infused with the latest AI technologies to help every business make smarter calls. Customers include WeWork, Uber, Motorola Solutions, Domo and Xero. Investors include Amasia, Andreessen Horowitz, Felicis Ventures, GV, ICONIQ Capital, Salesforce Ventures, Scale Venture Partners, Section 32, Softbank and Work-Bench.
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