Dialpad

Senior Software Engineer, Fullstack, Analytics

Buenos Aires, Argentina
JavaScript TypeScript GCP Python API React GraphQL SQL Vue.js HTML CSS
Description

About Dialpad

Work Beautifully

Dialpad is the leading Ai-Powered Customer Intelligence Platform that is transforming how the world works together. Based on 4 billion minutes of analyzed voice and meetings data and growing, we have designed one, beautiful workspace that seamlessly combines the most advanced Ai Contact Center, Ai Sales, Ai Voice, and Ai Meetings with Ai Messaging. More than 30,000 innovative brands and millions of people use Dialpad to unlock productivity, collaboration, and customer satisfaction with real-time Ai insights. With initial funding and leadership from Google and leading venture capitalists such as ICONIQ and Andreessen Horowitz, Dialpad has over $200M in ARR and is one of the fastest growing Ai companies in the world.

About the team

Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud native products and services. Every day, millions of users across the world leverage our technology for communicating effectively and efficiently. 

Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results. Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work—enabling companies to work from anywhere and making business communication more human.

Dialpad’s Supervisor experience team leverages artificial intelligence to craft advanced functionality specifically designed for contact center supervisors, enabling them to optimize operations and enhance the customer experience. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specializing in Data Engineering, Data Science, and Telephony.

Your role

We are seeking a talented and experienced Full Stack Engineer who is passionate about building high-quality, scalable web & desktop native applications using modern frontend and backend technologies. You will own significant features end-to-end and tackle technical hurdles and enrich the team through your engineering experience including mentorship of junior engineers. You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross functional team, including working closely with Product Managers in advocating for technical initiatives for the team.

This position reports to our Engineering Manager, who is based in North America, and is looking for the person to join the team in our Argentina Office.

What you’ll do

  • Develop and maintain Dialpad's web & desktop applications using modern technologies.
  • Write clean, modular, and maintainable code using best practices along with unit tests.
  • Participate in code reviews to ensure code quality, maintainability, and scalability.
  • Ensure that features are shipped on time and with the highest quality.
  • Take up on-call activities to support and resolve the issues coming from the QA and the Customers
  • Be responsible for deploying the new releases on a weekly release cadence
  • Collaborate with cross-functional teams to build and use common components and practices across Dialpad products
  • Mentor junior engineers and help them grow their skills and expertise.

Skills you’ll bring

  • 6-10 years of experience in Full-stack software engineering.
  • Strong experience with Python, APIs, Vue/React, HTML, CSS, JavaScript, TypeScript, GraphQL, GCP or other cloud infrastructures etc.
  • Experience with databases SQL/NoSQL.
  • Experience with building reusable and modular components both frontend and backend.
  • Experience with mentoring junior engineers and helping them grow their skills.
  • Experience with RESTful APIs and GraphQL schemas.
  • Experience with Agile development methodologies.
  • Strong debugging and troubleshooting skills.
  • Strong communication and collaboration skills.

Dialpad benefits and perks

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 rates in addition to stock options because each and every Dialer participates in our success.

Continuing education

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

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 BeautifullyDelight 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.

Dialpad
Dialpad
Analytics Artificial Intelligence Machine Learning Messaging Natural Language Processing Predictive Analytics SaaS Telecommunications Unified Communications VoIP

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