141 Data Infrastructure jobs in Canada
Lead Software Engineer, Data Infrastructure & Analytics
Posted today
Job Viewed
Job Description
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We AreWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale.
ResponsibilitiesTechnical Leadership & Roadmap: Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives.
Data Offload System: Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth.
Cloud Orchestration: Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet.
Analytics Pipeline: Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt.
System Resiliency & Monitoring: Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification
Mentorship: Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence.
Experience & Background: 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role.
Technical Skills:
Experience building large-scale distributed systems handling petabytes of data per day
Proficiency in at least one of Python, Go, or C++.
Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.).
Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization.
Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable.
Soft Skills:
Demonstrated ability to lead technical projects from conception to production.
Excellent mentorship skills and a passion for growing the capabilities of your team.
Strong communication skills and the ability to drive alignment across multiple teams.
Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices.
Hands-on experience with data transformation and modeling tools like dbt.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Experience designing systems that must be resilient to network failures and other real-world interruptions.
Compensation Range: $180K - $230K
Lead Software Engineer, Data Infrastructure & Analytics
Posted today
Job Viewed
Job Description
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We AreWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale.
ResponsibilitiesTechnical Leadership & Roadmap: Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives.
Data Offload System: Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth.
Cloud Orchestration: Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet.
Analytics Pipeline: Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt.
System Resiliency & Monitoring: Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification
Mentorship: Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence.
Experience & Background: 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role.
Technical Skills:
Experience building large-scale distributed systems handling petabytes of data per day
Proficiency in at least one of Python, Go, or C++.
Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.).
Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization.
Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable.
Soft Skills:
Demonstrated ability to lead technical projects from conception to production.
Excellent mentorship skills and a passion for growing the capabilities of your team.
Strong communication skills and the ability to drive alignment across multiple teams.
Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices.
Hands-on experience with data transformation and modeling tools like dbt.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Experience designing systems that must be resilient to network failures and other real-world interruptions.
Compensation Range: $180K - $230K
Lead Software Engineer, Data Infrastructure & Analytics
Posted today
Job Viewed
Job Description
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We AreWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale.
ResponsibilitiesTechnical Leadership & Roadmap: Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives.
Data Offload System: Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth.
Cloud Orchestration: Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet.
Analytics Pipeline: Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt.
System Resiliency & Monitoring: Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification
Mentorship: Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence.
Experience & Background: 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role.
Technical Skills:
Experience building large-scale distributed systems handling petabytes of data per day
Proficiency in at least one of Python, Go, or C++.
Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.).
Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization.
Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable.
Soft Skills:
Demonstrated ability to lead technical projects from conception to production.
Excellent mentorship skills and a passion for growing the capabilities of your team.
Strong communication skills and the ability to drive alignment across multiple teams.
Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices.
Hands-on experience with data transformation and modeling tools like dbt.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Experience designing systems that must be resilient to network failures and other real-world interruptions.
Compensation Range: $180K - $230K
Lead Software Engineer, Data Infrastructure & Analytics
Posted today
Job Viewed
Job Description
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We AreWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale.
ResponsibilitiesTechnical Leadership & Roadmap: Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives.
Data Offload System: Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth.
Cloud Orchestration: Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet.
Analytics Pipeline: Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt.
System Resiliency & Monitoring: Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification
Mentorship: Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence.
Experience & Background: 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role.
Technical Skills:
Experience building large-scale distributed systems handling petabytes of data per day
Proficiency in at least one of Python, Go, or C++.
Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.).
Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization.
Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable.
Soft Skills:
Demonstrated ability to lead technical projects from conception to production.
Excellent mentorship skills and a passion for growing the capabilities of your team.
Strong communication skills and the ability to drive alignment across multiple teams.
Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices.
Hands-on experience with data transformation and modeling tools like dbt.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Experience designing systems that must be resilient to network failures and other real-world interruptions.
Compensation Range: $180K - $230K
Software Engineer, Data Infrastructure & Acquisition - Toronto, Canada
Posted today
Job Viewed
Job Description
Job Description
PLEASE APPLY THROUGH THIS LINK:
DO NOT APPLY BELOW
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
What We Offer
- A dynamic environment where your contributions shape the company and its products.
- A team that values innovation, intuition, and drive.
- Autonomy, fostering focus and creativity.
- The opportunity to have a significant impact in a revolutionary industry.
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Software Engineer, Data Infrastructure & Acquisition - Montreal, Canada
Posted today
Job Viewed
Job Description
Job Description
PLEASE APPLY THROUGH THIS LINK:
DO NOT APPLY BELOW
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
What We Offer
- A dynamic environment where your contributions shape the company and its products.
- A team that values innovation, intuition, and drive.
- Autonomy, fostering focus and creativity.
- The opportunity to have a significant impact in a revolutionary industry.
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Software Engineer, Data Infrastructure & Acquisition - Ottawa, Canada
Posted today
Job Viewed
Job Description
Job Description
PLEASE APPLY THROUGH THIS LINK:
DO NOT APPLY BELOW
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
What We Offer
- A dynamic environment where your contributions shape the company and its products.
- A team that values innovation, intuition, and drive.
- Autonomy, fostering focus and creativity.
- The opportunity to have a significant impact in a revolutionary industry.
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Software Engineer, Data Infrastructure & Acquisition - Vancouver, Canada
Posted today
Job Viewed
Job Description
Job Description
PLEASE APPLY THROUGH THIS LINK:
DO NOT APPLY BELOW
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
What We Offer
- A dynamic environment where your contributions shape the company and its products.
- A team that values innovation, intuition, and drive.
- Autonomy, fostering focus and creativity.
- The opportunity to have a significant impact in a revolutionary industry.
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Software Engineer, Data Infrastructure & Acquisition - Calgary, Canada
Posted today
Job Viewed
Job Description
Job Description
PLEASE APPLY THROUGH THIS LINK:
DO NOT APPLY BELOW
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
What We Offer
- A dynamic environment where your contributions shape the company and its products.
- A team that values innovation, intuition, and drive.
- Autonomy, fostering focus and creativity.
- The opportunity to have a significant impact in a revolutionary industry.
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Sr. Cloud Infrastructure Engineer
Posted today
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Job Description
Job Description
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We AreWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Cloud Infrastructure Engineer , you will be the driving force behind automating our cloud solutions. You will create and maintain infrastructure-as-code templates, refine processes, and keep our technology stack at the forefront of best practices in an ever-evolving cloud landscape. A key responsibility will be ensuring our automation seamlessly serves both development and production environments while optimizing costs and resource usage.
Responsibilities
Infrastructure as Code (IaC)
Develop and maintain our cloud infrastructure using tools like Terraform.
Design reusable, version-controlled configurations that enable rapid deployment and easy maintenance.
Hands-On Automation
Implement and own automated processes for provisioning, scaling, disaster recovery, and routine updates.
Ensure minimal manual intervention through effective tooling and scripting (Python, Go, Bash, etc.).
Technical Leadership (Non-Managerial)
Drive cloud-related initiatives across the company, providing technical expertise and thought leadership.
Collaborate with cross-functional teams (e.g., security, product, SRE) to ensure alignment on infrastructure goals.
Advocate for best practices and make strategic recommendations on evolving our cloud environment.
Monitoring & Alerting
Deploy and refine observability solutions—metrics, logs, tracing—to maintain high availability and expedite incident response.
Proactively tune monitoring systems to identify issues before they escalate.
Resource Management & Cost Optimization
Implement strategies to retire or scale down unused resources, reducing operational costs.
Collaborate with stakeholders to track and allocate cloud spending at a granular level, ensuring transparency.
Security & Compliance
Integrate security best practices into infrastructure designs, in partnership with security teams.
Conduct periodic reviews to ensure alignment with internal policies and relevant regulatory requirements.
Continuous Improvement
Stay informed about emerging cloud technologies and assess their potential impact on our organization.
Propose and champion updates or migrations that enhance the robustness, scalability, and efficiency of our systems.
Qualifications
Experience & Background
5+ years of hands-on experience in cloud infrastructure engineering, DevOps, or a related field.
Proven track record managing production-grade environments and leading technical initiatives without direct reports.
Technical Skills
Cloud Platforms : Proficiency with GCP, AWS, or Azure, including designing and operating highly available systems.
IaC Tools : Expertise with Terraform, Ansible, or equivalent for automated environment provisioning and management.
Containers & Orchestration : Familiarity with Docker and Kubernetes (or similar) for application packaging and deployment.
Scripting & Automation : Skilled in Python, Go, Bash, or other relevant languages.
Cost Management : Practical knowledge of monitoring and optimizing cloud expenditures.
Soft Skills
Communication : Adept at conveying technical concepts to both technical and non-technical audiences.
Initiative & Ownership : Able to work autonomously, owning projects from ideation to production.
Collaborative Spirit : Able to coordinate with diverse teams, influencing architecture decisions and best practices.
Education
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
What Makes You Stand Out
Geo-Distributed Experience : Skilled in designing infrastructure for multiple regions, enhancing resilience and performance.
Forward-Thinking : Consistently researching and experimenting with new cloud tools and services, anticipating future needs.
Project Leadership : Demonstrated success rolling out large-scale infrastructure changes or migrations independently.
Mentorship & Knowledge Sharing : While you won’t directly manage others, you excel at guiding peers and promoting best practices across the organization.
Compensation Range: $150K - $200K