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

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.

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.

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone. 

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.

You:
We are seeking interns to join various Product Teams, contributing to Platform, Software, Mobile, Frontend, Security, or Data Engineering projects. We’ll carefully match candidates to the most suitable team and project based on their skills and interests.

The start date is flexible and the expected duration is between 8 to 12 weeks.

You Have & You Know-How:

• Currently pursuing or recently completed a degree in Computer Science, or a similar technical degree (required)
• Strong Computer Science fundamentals and coding skills (our stack includes Java, Go, Python, React, Bash)
• Self-driven & motivated, with a strong work ethic and a passion for problem solving
• Passionate desire to learn and grow
• Able to bring ideas into the team and to work out solutions to tough problems autonomously
• Good communication skills both written and verbal
• Fluency in English
• Experience working with Generative AI (GenAI) tools is a plus

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

 #LI-Remote #LI-MG3

Our mission is to improve developers’ experience by giving them the tools to manage the entire software lifecycle and to be self-sufficient. 

To help with this we are building our own internal PaaS using the latest technologies like Kubernetes, Prometheus, Kotlin and others. This platform is an important pillar in Talkdesk’s engineering effort and helps us deliver better, faster and more reliable solutions for our customers.


Responsibilities:

Design, build, harden, and maintain key infrastructure parts of our platform (from the lifecycle of the infrastructure to each one of our Kubernetes clusters)
Support the processes that enable the safe upgrade and update of each component of our compute infrastructure
Work with  GitOps industry-leading tools such as Spacelift and/or Atlantis
Help automate safe deployment practices by using industry-leading tools such as GitHub Actions,  ArgoCD, Argo Rollouts, Helm Charts, etc
Help automate infrastructure provisioning and other engineering processes by working on automations built on top of an engineering platform written in GitHub Actions
Coach and up-skill other engineering team members
Solve challenging technical problems and put your skills to the test every day; see an immediate impact of your work and the value you've created for other engineers
Automate every aspect of our infrastructure to remove as much human intervention as possible
Develop effective tooling, alerts, and responses to both identify and address reliability risks
Drive and promote protocols on production readiness and operational excellence
Partner with product engineering teams to debug production outages and carry out action items to improve the reliability of those systems
Advocate for automated testing, continuous integration and delivery, feature toggles, and progressive rollouts
Plan for the growth of Talkdesk’s infrastructure.


Skills and Qualifications: 

Understand large-scale complex systems from a reliability perspective
Passion for producing clean, standards-compliant, secure code
Bringing a developer mindset and applying it to infrastructure
Know your way around Linux/Unix systems
Experience with Kubernetes
Experience with Infrastructure as code tools like Terraform and Ansible
Experience building software with a programming language such as Java, Kotlin, Scala, or any other JVM-based languages
Experience writing scripts for automating the execution of certain tasks with a programming language like Ruby, Python, Bash, or any other scripting language
Experience with at least one relational and non-relational databases (ex.: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch)
Ability to identify time-consuming and error-prone manual tasks and then build/leverage tooling to automate them
Ability to identify root causes of instability in a large-scale distributed system across stacks


Nice to haves / Pluses: 

Experience with cloud-based solutions such as Amazon AWS, Google Cloud, or Microsoft Azure
Experience with Go programming language


Additional Notes:
This position will follow a hybrid work model.

The SRE Connectivity team at Talkdesk is responsible for building, running, and evolving the infrastructure foundation that supports all engineering teams, with an automation-first mindset and a strong focus on availability, reliability, and scalability.

As a Technical Manager, you will combine hands-on technical leadership with people and delivery ownership. You will actively contribute to the design, implementation, and operation of the network and SRE stack, while also guiding the team, setting technical direction, and ensuring sustainable execution.

At Talkdesk, we follow a “you build it, you own it” philosophy. In this role, you will help reinforce that culture by empowering teams with the right tools, practices, and guardrails, fostering a blameless environment focused on learning and continuous improvement.

You will work with a large, distributed, multi-region, multi-cloud infrastructure, using modern technologies at scale.

Be responsible for:

Technical (hands-on)

• Design, build, and maintain the core network infrastructure and related tooling used across Talkdesk
• Remain hands-on in the day-to-day work, contributing code, infrastructure changes, and reviews
• Drive automation-first practices across network and infrastructure operations
• Ensure infrastructure reliability through observability, monitoring, alerting, and proactive issue detection
• Develop and evolve tooling, alerts, and operational processes that enable engineering teams to safely run production workloads
• Participate in on-call rotation, leading by example and staying close to production realities
• Lead and actively participate in incident response, root cause analysis, and post-mortems, ensuring concrete follow-ups that improve resilience

Leadership & management

• Provide technical direction and standards for the network and SRE domain
• Mentor and coach engineers, supporting their technical growth and operational maturity
• Plan and prioritize work with a focus on impact, risk reduction, and long-term sustainability
• Act as a technical partner to product engineering teams, helping them design more reliable, scalable, and observable services
• Balance short-term operational needs with longer-term architectural improvements

Need to have:

• Strong hands-on experience with AWS networking
• Hands-on experience configuring and operating AWS Direct Connect
• Hands-on experience with Fortinet firewalls and Fortinet network security products
• Experience working with NetBox or similar network source-of-truth solutions
• Solid knowledge of Linux/Unix systems
• Programming/scripting skills in at least one language (e.g. Python, Bash)
• Experience with Infrastructure as Code (CloudFormation, Terraform, or similar)
• Experience with configuration management tools such as Ansible
• Experience with monitoring and observability tools (Datadog, New Relic, Grafana, or similar)
• Proven ability to identify manual, error-prone processes and replace them with automation
• Strong troubleshooting skills and ability to identify root causes in large-scale distributed systems
• Pragmatic, solution-oriented mindset with strong critical thinking skills

Be valued for:

• Experience supporting production systems at scale
• Experience with technologies such as Docker, Consul, Vault, Jenkins, Concourse, Prometheus, Nexus
• Experience with encryption and key management technologies (ACM, KMS, hashing, secret management)
• Experience with additional firewall or network security solutions beyond Fortinet
• Experience with other cloud providers such as GCP or Azure
• Previous experience acting as a technical lead or manager while remaining hands-on