Mid Level Data Infrastructure Engineer Jobs
Mid level data infrastructure engineer jobs go to engineers ready to own pipeline architecture end to end, make infrastructure decisions with limited oversight, and guide junior teammates through complex builds. Openings 61% remote or hybrid concentrate across Technology & Software, Manufacturing, and Biotechnology & Pharmaceuticals, with employers like Speechify, Apple, and Figma hiring at this level now.
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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?
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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Who's Hiring
- Speechify14

- Apple2

- Figma2

- Waymo2

- Cohere2

Top Industries Hiring
- Technology & Software30
- Manufacturing2
- Biotechnology & Pharmaceuticals2
- Retail1
- Education1
Mid Level Data Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get a mid level data infrastructure engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you designed or rebuilt a pipeline, resolved production incidents independently, or reduced data latency at scale. Recruiters at this level want to see that you made technical decisions, not just executed tickets. Tailor your resume to show scope and measurable outcomes, and apply directly to roles listing the infrastructure stack you know best.
Which companies hire mid level data infrastructure engineers?
Companies hiring mid level data infrastructure engineers right now include Speechify, Apple, and Figma, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large technology firms scaling their data platforms, financial services companies modernizing pipelines, and growth-stage startups building foundational infrastructure for the first time.
Are there remote mid level data infrastructure engineer jobs?
Yes, remote and hybrid options are common at this level. About 61% of mid level data infrastructure engineer openings are remote or hybrid as of August 2026, reflecting how distributed engineering teams have normalized for infrastructure roles. On-site positions tend to concentrate in sectors with strict data-residency or compliance requirements, such as finance and healthcare.
How do I move up to a mid level data infrastructure engineer role?
The path from entry level to mid level is built on accumulated ownership. Start by volunteering for projects that require you to design a component, not just implement one. Deepen expertise in a core area like distributed systems, orchestration, or storage optimization, and document the measurable impact of your work. Engineers who reach mid level fastest are those who proactively close gaps, take on production responsibility, and seek feedback on architectural decisions.
Which industries hire the most mid level data infrastructure engineers?
Mid Level data infrastructure engineer roles concentrate in Technology & Software, Manufacturing, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of August 2026. These sectors generate high data volumes, operate under strict reliability requirements, and need engineers who can maintain and evolve infrastructure independently without constant senior oversight.