Senior Software Engineer, Dialpad
Distributed Systems
CA$162.9-185.7k
AI-powered cloud communications platform
Be an early applicant
AI-powered cloud communications platform
1001+ employees
Be an early applicant
CA$162.9-185.7k
1001+ employees
Company mission
To completely transform the way the world works together.
Role
Who you are
- You have a Bachelor’s Degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent work experience
- You have 8+ years of software engineering experience
- 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 have strong experience working with one or more dynamically typed programming language(s)
- 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 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:
- The Python ecosystem
- Cloud providers such as Google Cloud Platform or AWS
- Git or other version control systems
- Relational and/or non-relational database systems, Pub/Sub, Messaging Systems
- Building and managing batch or streaming data processing pipelines, ETLs
What the job involves
- 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
- As a Software Engineer–Ai Core, you’ll work with the team to own the development and uptime of Dialpad’s proprietary near real-time ML inference system, a large-scale distributed system built by leveraging technologies like Kubernetes, Redis, event-driven message bus systems, modern asynchronous Python, and a plethora of Open Source technologies
- 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
- 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 fully asynchronous modern Python, 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
Our take
Dialpad offers an AI-driven cloud communications platform for business teams. It was founded to streamline communications across entire businesses with a fast set-up and hassle-free deployment.
As well as hosting in-house video, meet and text communications with automated note taking and transcription, the platform also features AI-powered customer service, sales and voice intelligence insights. Dialpad has impressed customers such as Asana, Stripe, TED and Uber with its smooth integration capabilities with co-working platforms like Slack, Google Workspace, Salesforce CRM and Microsoft Teams.
The Unicorn company's funding has allowed it to heavily invest in the continued R&D of AI technologies to deliver a number of industry-first features. The company has also expanded globally with the opening of offices in Europe and Asia and plans to further extend its global footprint with additional investments internationally.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Dec 2022
$50m
LATE VC
Dec 2021
$170m
LATE VC
Total funding: $450m
Company benefits
- Company stock options
- Continued education stipend
- Cell phone, home internet, and gym membership stipend
- Work from home opportunities
Company values
- Do the right thing
- Delight our users
- It takes both skill & will
- Innovate continuously
- Every voice matters
Company HQ
San Ramon, CA
Articles
Leadership
Craig Walker
(CEO)Having studied Law at UCB, Craig worked as an Attorney for Brobeck Phleger & Harrison, before moving to General Counsel at TeleSoft Partners. He spent almost 4 years at Google Ventures before founding Dialpad in January 2011.
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