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.

About the Role

The Site Reliability and Forward Deployed Engineer is an experienced individual contributor responsible for supporting production operations, incident response, and post‑launch reliability across the Abacus Insights platform.

This role combines:

• Production operations and reliability engineering
• Deep technical problem-solving during incidents and escalations
• Customer‑facing technical support for deployments and issues
• Hands‑on software development and automation

You will work on complex production issues involving AWS infrastructure, Databricks workloads, and data pipelines, partnering closely with senior engineers and platform teams. You will engage with customers during escalations and deployments and help translate learnings into product and operational improvements. This is a hands‑on role. You are expected to actively participate in incidents, debug live systems, and write production code that improves system reliability and operability, with guidance from senior technical leaders.

Your day to day

• Act as a technical escalation point during production incidents, leading real‑time triage, mitigation, and recovery efforts.
• Drive root cause analysis (RCA) and ensure follow‑up remediation and reliability improvements are completed and tracked.
• Support post‑launch reliability by investigating and resolving production defects and field‑reported issues.
• Partner closely with Engineering, Data, and Customer Success teams to support customers during high‑impact incidents and escalations.
• Improve operational readiness through better runbooks, monitoring, alerting, and incident response practices.
• Work directly with customers on complex deployments, integrations, and production troubleshooting in customer environments.
• Write production‑quality code (primarily Python) to automate operational workflows, improve observability, and reduce manual toil.
• Support and troubleshoot AWS‑ and Databricks‑based production systems, including performance, scalability, and data correctness issues.
• Capture learnings from incidents and customer engagements and translate them into reusable tools, documentation, and product improvements.

What you bring to the team

• 3 - 5 years of experience in software engineering, SRE, sustaining engineering, or production operations
• Hands‑on experience supporting production systems in AWS
• Experience troubleshooting large‑scale data platforms or Databricks
• Proficiency in Python and experience building or supporting production services or tooling
• Working knowledge of:
  • Distributed systems fundamentals
  • Incident response and RCA practices
  • Monitoring, alerting, and observability
  • CI/CD pipelines and Infrastructure as Code concepts
• Strong communication skills during incidents and customer interactions
• Ability to take ownership of issues through resolution with support and guidance
• Good operational judgment and willingness to learn how to proactively reduce risk

What we would like to see, but not required

• Experience in regulated or healthcare data environments
• Familiarity with Kubernetes (EKS), EMR, Lambda, Spark internals, Snowflake, Databricks or similar data warehouses
• Experience participating in on‑call or SRE programs
• Prior customer‑facing or escalation engineering experience

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 1 PM - 10 PM local time