You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better.

Key Responsibilities

• Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads
• Build and maintain CI/CD pipelines and deployment infrastructure
• Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability
• Build dashboards, alerting, and anomaly detection across our systems
• Define and enforce SLOs and build out incident response processes
• Manage and improve our networking, load balancing, and service mesh configurations
• Drive reliability improvements across the stack through automation, runbooks, and chaos engineering

Requirements

• 5+ years experience in managing critical production systems and software development workflows
• Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible)
• Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS
• Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD)
• Proficiency in Python and either Go or Bash for tooling and automation
• Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog)
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Experience with managing GPU and AI/ML workloads
• Experience with kernel-based monitoring and routing (eBPF, XDP)
• Experience with security tooling (Falco, Coroot, SIEM)
• Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB)
• Experience with distributed storage systems (Ceph, Longhorn, etc.)

Location

• Turkey

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• Regular team events and offsites

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? 

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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.