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Remote Swe Jobs in Austin, TX (NOW HIRING)

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$55K

$117.6K

$172K

How much do remote swe jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote swe in Austin, TX is $117,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a remote software engineer?

Remote Software Engineers are professionals who design, develop, and maintain software systems while working outside of a traditional office environment. They collaborate with teams and clients using digital communication and project management tools, allowing them to work from anywhere with an internet connection. This role requires strong technical skills, self-motivation, and the ability to manage time effectively. Remote Software Engineers contribute to various industries, developing applications, websites, and other digital solutions.

What are common challenges faced by remote software engineers and how can they be addressed?

Remote software engineers often face challenges such as effective communication across time zones, maintaining productivity without in-person supervision, and building rapport with team members. To address these, it's important to leverage collaboration tools like Slack or Zoom, set clear expectations with your team, and establish a consistent daily routine. Participating in regular stand-ups, documenting work thoroughly, and proactively reaching out for feedback can also help foster strong connections and ensure project alignment.

What skills and qualifications are needed to thrive as a remote software engineer?

To thrive as a Remote Software Engineer, you need strong programming skills, a solid understanding of computer science principles, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and modern development frameworks is essential, along with experience using collaboration tools such as Slack and Jira. Excellent self-motivation, time management, and clear written communication are crucial soft skills for remote work success. These abilities ensure productivity, effective teamwork, and high-quality code delivery in a distributed work environment.

What are the most commonly searched types of Swe jobs in Austin, TX?

The most popular types of Swe jobs in Austin, TX are:

What are popular job titles related to Remote Swe jobs in Austin, TX?

For Remote Swe jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Swe jobs in Austin, TX look for?

The top searched job categories for Remote Swe jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Swe jobs?

Cities near Austin, TX with the most Remote Swe job openings:

Remote Swe jobs near you
Infographic showing various Remote Swe job openings in Austin, TX as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $117,631 per year, or $56.6 per hour.

Senior Product Manager : Full-time

HARAMAIN SYSTEMS INC.

Austin, TX • Remote

$125K - $165K/yr

Full-time

Posted 18 days ago

Job description

Role: Senior Product Manager (IC, reports to Principal PM) Focus: Internal tooling & big data products; cross‑functional with engineering & data science

Role: Senior Product Manager

Location : Remote

Job type : | Full-time

Must‑haves:

  • 5+ years PM or founder/technical product role
  • Prior engineering title (SWE, DS, ML Eng, or technical analyst)
  • Startup experience (Series B/C, not big tech)
  • Strong technical background: Python, AWS, data pipelines
  • Big data tools explicitly listed (Spark, Databricks, BigQuery, Snowflake, Redshift)
  • Resume shows internal tooling + big data product work with named projects
  • US‑based, authorized to work

Nice‑to‑haves:

  • Fintech/payments/fraud/identity domain
  • Founder/entrepreneurial mindset

Avoid:

  • Purely customer‑facing PMs uninterested in internal work
  • Big tech/large enterprise/bank‑only backgrounds
  • Traditional PM path without engineering roots
  • Buzzword‑heavy AI/ML profiles without real data platform experience
  • Short tenure (<2 years per role)

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