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.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

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And don’t forget to include links to your portfolio and LinkedIn.

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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.

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.