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Remote Founding Engineer Jobs in Texas (NOW HIRING)

JTEC Consulting

DevOps Engineer - REMOTE

San Antonio, TX · Remote

$120K - $130K/yr

... Engineer - REMOTE San Antonio, TX 78201 JTEC Consulting LLC focuses on successfully delivering ... Our founding members have decades of experience delivering a wide range of solutions to Air Force ...

Humana

Lead, Offensive Security

Dallas, TX · Remote

... its founding engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

JTEC Consulting LLC

DevOps Engineer - REMOTE

San Antonio, TX · On-site +1

$120K - $130K/yr

... Engineer - REMOTE San Antonio, TX 78201 JTEC Consulting LLC focuses on successfully delivering ... Our founding members have decades of experience delivering a wide range of solutions to Air Force ...

Humana

Lead, Offensive Security

Dallas, TX · Remote

... its founding engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

Humana

Lead, Offensive Security

Dallas, TX · Remote

... its founding engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

Since our founding in 2019, over 500 partners-a range of nonprofit organizations, national ... Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ...

American Heart Association

$23/hr

Overview Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is ... Proficiency with software engineering best practices, including Git-based version control, code ...

Civitech

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

Since its founding in 2019, over 500 partners -- a range of nonprofit organizations, national ... Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ...

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All JobsFounding Engineer JobsRemote Founding Engineer JobsRemote Founding Engineer Jobs in Texas

Remote Founding Engineer information

What are the key skills and qualifications needed to thrive as a Remote Founding Engineer, and why are they important?

To thrive as a Remote Founding Engineer, you need a deep background in software development, systems architecture, and ideally startup experience, often supported by a degree in computer science or related fields. Mastery of cloud platforms, version control (like Git), and familiarity with frameworks relevant to the product, as well as experience with DevOps tools, are typically required. Exceptional problem-solving, self-motivation, and strong communication skills help remote founding engineers stand out, especially in fast-paced, ambiguous environments. These combined skills and qualities are crucial for building scalable products, driving innovation, and collaborating effectively while working remotely in an early-stage company.

What is a Remote Founding Engineer?

A Remote Founding Engineer is a key technical team member who helps launch and build a startup from its earliest stages, working entirely or primarily from a remote location. They are responsible for designing and developing the initial product, making crucial technical decisions, and often establishing the company's engineering culture. Founding Engineers typically collaborate closely with the company’s founders and may have a significant influence on the startup’s direction. Their role often includes both hands-on coding and broader responsibilities such as hiring, setting up processes, and scaling technology as the company grows.

What are some unique challenges and rewards of being a Remote Founding Engineer in an early-stage startup?

As a Remote Founding Engineer, you'll face the challenge of building core product features from scratch while collaborating virtually with other founders and early team members. This often means balancing rapid, iterative development with high-quality code, all while helping to set technical direction and culture remotely. The role is highly rewarding for those who thrive in dynamic environments and value broad ownership, as your contributions directly shape the product and the company's future. You'll also gain valuable experience in both technical leadership and startup operations, positioning yourself for significant career growth and potential equity rewards.
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Remote Founding Engineer jobs near you
Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform

Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform

Virtasant

Austin, TX • On-site, Remote

Full-time

Posted 3 days ago

Job description

Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform
(AI Platform)
Location: Remote
Type: Full-time
Team: Cost Optimisation (CO) - Product Engineering
Reports to: Director of Engineering
About Virtasant
Virtasant is a global technology services company that delivers outcomes through automation. Our services include software engineering, technology operations, cloud migration, application modernization, and cloud optimization.
We help some of the world's largest organizations modernize their technology operations, optimize costs, and unlock new opportunities for innovation. Our fully remote, globally distributed team is passionate about delivering world-class technology solutions while embracing a culture of excellence, ownership, and impact.
The Role
We're looking for a Staff-level, backend-first Product Engineer to help evolve our multi-cloud FinOps platform into a broader cloud and AI cost intelligence platform. The role will focus on distributed data systems, reliable processing of cloud billing and usage data, platform architecture, and extending AI cost visibility from aggregate spend toward application, workflow and request-level attribution.
You'll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy, without the chaos.
You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.
What You'll Be Doing
  • Design and build backend-heavy platform features for our platform.
  • Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows).
  • Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment.
  • Design and build distributed data pipelines that process cloud billing, usage, and AI telemetry.
  • Build reliable systems that handle backfills, late-arriving data, and historical reprocessing.
  • Design scalable data models and APIs that power customer-facing analytics and AI cost insights.
  • Collaborate closely with Product to turn vision into shipped features.
  • Identify blockers early, communicate clearly, and iterate fast.
  • Help shape engineering standards and patterns as the product matures.
  • You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.
  • Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time.

Success in the first 6-12 months looks like:
  • 2+ production-ready features shipped.
  • Tangible progress towards operating as a smart intelligence platform.
  • Clear, repeatable engineering patterns for AI-enabled development.
  • Utilize lightweight but rigorous AI engineering practices (evaluation harnesses, rollout strategies, and rollback mechanisms) that allow the platform to scale AI features safely and repeatedly.

What We're Looking For (Non-Negotiables)
  • 8+ years of professional software engineering experience, with deep backend expertise in Python (Java or C++ as secondary languages).
  • Experience building and operating data-intensive backend systems or pipelines in production.
  • Strong understanding of data modelling, reliability, and data processing.
  • Ability to design scalable systems and take them from concept through production.
  • Experience with AI driven development to accelerate and drive product development.
  • Hands-on experience building on AWS.
  • Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns).
  • Comfortable working in ambiguity with product-led direction.
  • Ability to architect backend services that support asynchronous workflows, event-driven pipelines, and AI agents that operate over time rather than single request/response cycles.
  • Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability.

What Matters More Than Checklists
We care deeply about how you think and build, not just what tools you've used.
We're looking for engineers who can:
  • Tell a compelling story about a product journey, not just features shipped
  • Explain why decisions were made and what trade-offs were considered
  • Fail fast, learn quickly, and iterate relentlessly
  • Clearly articulate technical roadblocks and collaborate on solutions
  • Thrive in a fast-paced, high-ownership environment

Why This Role Stands Out
  • You'll work on a real AI product, not internal tooling or demos.
  • Near-founding-engineer level autonomy and influence.
  • Direct impact on product direction and commercial outcomes.
  • Opportunity to help shape a platform with standalone, licensable AI capabilities.
  • A rare chance to build product inside a consultancy without being consumed by client work.
  • You'll build AI capabilities informed by real enterprise-scale cost and usage data, enabling smarter models and workflows than greenfield or synthetic-data products.

Why Virtasant
  • High ownership, high trust environment.
  • Opportunity to own and shape technical delivery at scale.
  • Work closely with experienced engineering and delivery teams.
  • Exposure to broader cloud optimisation and consulting initiatives over time.

Our team Software Engineering Locations HQ Remote status Fully Remote

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