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. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

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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If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK

We are seeking a new Staff Software Engineer to join the Platform Engineering team of our Custody department. You'll play a key role in shaping our engineering practices, ensuring the reliability and performance of our platform across a multi-cloud environment, and empowering our engineering team to deliver innovative features with speed and efficiency. You will drive improvements in our automation, observability, and overall platform stability.

WHAT YOU'LL DO

• Design, build, and maintain scalable and resilient infrastructure across Cloud providers such as Azure, AWS, GCP and IBM Cloud.
• Automating work including infrastructure needs, testing, failover solutions, failure mitigation, and much more.
• Implement and manage monitoring, alerting, and logging systems to ensure system visibility.
• Develop and maintain our CI/CD pipelines using GitLab CI.
• Proactively identify and resolve potential performance bottlenecks and reliability issues.
• Participate in on-call rotations to address production incidents and provide support for service engineers with customer incidents.
• Collaborate closely with development teams to integrate and deploy services efficiently.
• Contribute to the development and maintenance of our internal platform tools and services.
• Lead the implementation of standard methodologies for DevOps and SRE within the engineering organization.
• Document processes and procedures.
• Automate any software maintenance processes which previously required a manual procedure.

WHAT YOU'LL BRING

• 10+ years’ experience with software engineering, platforming engineering or system operations on high available and high traffic environments
• Strong experience with Linux-based infrastructures, Linux/Unix administration
• Experience with databases such as PostgreSQL
• Experience administering Linux servers as well as docker based infrastructure (like Kubernetes, AKS, etc.) in a highly available environment
• Experience of scripting languages such as Go or Bash
• Experience with message broker/queue technologies like RabbitMQ, AMQP 1.0
• Experience with modern monitoring, logging and observability tools in complex distributed systems such as with Application Insights, Grafana, Elastic stack, Datadog, Prometheus, etc
• Practical experience with infrastructure-as-code (with tools like Terraform)
• Familiarity with GitOps deployment practices using ArgoCD or Flux
• Good understanding of cybersecurity fundamentals and best practices
• Troubleshooting skills with the ability to spot issues before they become problems
• Excellent problem-solving and communication skills
• Committed to processes, with excellent documentation skills and a strong ability to work well in a team!