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Instinct Science Jobs in Texas (NOW HIRING)

Bachelor's or Master's in Computer Science, Electrical Engineering, Data Science, or related field ... and an instinct for data quality. * Demonstrated experience building reusable assets (models ...

Bachelor's or Master's in Computer Science, Electrical Engineering, Data Science, or related field ... and an instinct for data quality. Demonstrated experience building reusable assets (models ...

... instinct. ","responsibilities":"Serve as Incident Commander on high-severity events, owning the ... Minimum Qualifications Bachelor's degree in Computer Science or Information Technology or ...

As an AI‑native and automation‑first leader, the default instinct is to eliminate manual tasks ... Bachelor's degree in engineering, science, or a related technical field. * Proven track record ...

... instinct. ","responsibilities":"Serve as Incident Commander on high-severity events, owning the ... Minimum Qualifications Bachelor's degree in Computer Science or Information Technology or ...

Join a high-trust, cross-disciplinary team of engineers, data scientists, economists, and product ... A genuine drive to see customers succeed, paired with the instinct to zoom out from day-to-day ...

OT Network & Site Infrastructure Engineer

TX · On-site +1

$118K - $137K/yr

Bachelor's degree in Network Engineering, Information Technology, Computer Science, or equivalent ... Strong collaborative instinct and alignment with Intersect's core values of Equity, Humility ...

Showing results 41-60

Instinct Science information

What cities in Texas are hiring for Instinct Science jobs?

Cities in Texas with the most Instinct Science job openings:

Infographic showing various Instinct Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Site Reliability Engineer, Apple Data Platform / Big Data Platform

Austin, TX • On-site

Socket.dev
Network Security • 1 - 10 employees

$150 - $200/hr

Other

Posted 21 days ago


Job description

The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books — at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success — running incident response, providing hands‑on support to internal teams, and partnering with developers to make cutting‑edge services like Spark, Flink, Airflow, Trino, Notebooks, and LLM‑based agent platforms reliable at scale.

DESCRIPTION

This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple — while specialising in the big data engines and catalog/governance layers that power analytics and data engineering across the company. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from ML/AI platform services to multi‑cloud infrastructure, and grow into the team's go‑to expert for big data platform services — including Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services (such as Glue Catalog), and data governance. Just as importantly, you'll be a first point of contact for the internal customers who rely on these services daily — someone who can translate a confusing error or a vague support request into a clear diagnosis and a fast resolution. We're looking for a self‑motivated engineer who thrives on ownership — someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems, take genuine satisfaction in helping frustrated customers get unblocked, and want a front‑row seat to how Apple's data engineering platform scales, this role offers real room to grow your scope and impact over time.

MINIMUM QUALIFICATIONS
  • Bachelor's Degree in Computer Science, an engineering‑related field, or equivalent related experience.
  • 1-4 years in a Site Reliability Engineering, DevOps, or Infrastructure‑focused role.
  • Proficient in Python; working knowledge of Golang a plus.
  • Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
  • Experience with Kubernetes and at least one major cloud provider (AWS or GCP).
  • Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non‑expert customers.
  • Solid grounding in SRE principles, with prior on‑call, production‑support, or customer‑facing support role experience.
PREFERRED QUALIFICATIONS
  • Experience with REST Catalog services (e.g., Glue Catalog) and data governance frameworks.
  • Prior experience in a customer-facing or technical support role, with a demonstrated passion for customer success.
  • Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
  • Working knowledge of CI/CD pipelines and deployment workflows.
  • Experience with S3 and cloud storage/networking fundamentals.
  • Familiarity with data pipeline orchestration and workflow scheduling patterns.
  • A track record of automating manual operations through scripting or tooling.
  • Intellectual curiosity and a drive to keep learning — for yourself, your team, and the org.
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