ZipRecruiter

Log In

2

Remote Infrastructure Software Engineer Jobs in Dallas, TX

Shutterfly

Senior Principal Software Engineer

Plano, TX · Remote

$120K - $165K/yr

This position is a remote role that will be based in the United States with preference given to ... Scalable inference and orchestration infrastructure * Ensure systems are highly available ...

New

Shutterfly

Senior Principal Software Engineer

Plano, TX · Remote

$120K - $165K/yr

This position is a remote role that will be based in the United States with preference given to ... Scalable inference and orchestration infrastructure * Ensure systems are highly available ...

New

eNett

Software Development Engineer 4

Dallas, TX · Remote

$140K - $173K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... This role will be a top-tier software engineer to help develop, drive, and execute implementation ...

Equinix

Senior Software Engineer (Principal)

Dallas, TX · Remote

$128K - $177K/yr

Who are we? Equinix is the world's digital infrastructure company ® , shortening the path to ... Basic Qualifications * 10+ years of software engineering experience building enterprise-grade ...

E-Space

Software Integration Lead - 5G CORE

Arlington, TX · Remote

$180K - $220K/yr

... infrastructure and core subscriber management - including subscriber profile delivery, remote SIM ... Lead and mentor a small integration engineering team (2-4 engineers); set delivery cadence and ...

DomainTools

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Expertise in Rust and Python is highly valued. * 3+ years of experience with cloud infrastructure ...

E-Space

Software Integration Lead - 5G CORE

Arlington, TX · Remote

$180K - $220K/yr

... infrastructure and core subscriber management -- including subscriber profile delivery, remote SIM ... Lead and mentor a small integration engineering team (2-4 engineers); set delivery cadence and ...

Equinix

Staff Engineer, Product Software

Dallas, TX · Remote

Who are we? Equinix is the world's digital infrastructure company ® , shortening the path to ... We are looking for a skilled Software Engineer to design, build, and maintain scalable systems and ...

Koddi

Lead Software Engineer

Fort Worth, TX · On-site +1

Strong engineering fundamentals with a deep understanding of software design principles and best ... We are not accepting remote applications at this time.

REPAY

Associate Cloud Infrastructure Engineer

Fort Worth, TX · On-site +1

$103K - $135K/yr

As a fully remote role, it's a great fit for someone who communicates clearly in writing and can ... QUALIFICATIONS Required * 0-2 years of experience in software, infrastructure, DevOps, or a related ...

previous page

Showing results 41-60

All JobsInfrastructure Software Engineer JobsRemote Infrastructure Software Engineer JobsRemote Infrastructure Software Engineer Jobs in Dallas, TX

Remote Infrastructure Software Engineer information

See Dallas, TX salary details

$114.3K

$178.3K

$204.3K

How much do remote infrastructure software engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote infrastructure software engineer in Dallas, TX is $178,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,100.00 and $202,800.00 per year, depending on experience, location, and employer.

What are Remote Infrastructure Software Engineers?

Remote Infrastructure Software Engineers are professionals who design, build, and maintain the core systems and services that support an organization's IT infrastructure, all while working remotely. They focus on ensuring that networks, servers, cloud environments, and related software are secure, scalable, and reliable. Their responsibilities may include automating deployment processes, managing cloud resources, monitoring system performance, and troubleshooting issues. By working remotely, they leverage various collaboration tools to communicate with teams and manage critical infrastructure from anywhere.

How does a Remote Infrastructure Software Engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Infrastructure Software Engineers regularly work with DevOps, security, and development teams to ensure that infrastructure solutions are reliable and scalable. Collaboration often happens through daily stand-ups, code reviews, and shared documentation platforms, making strong communication skills essential. Tools like Slack, Jira, and Zoom are commonly used to bridge the distance and keep projects aligned. Successfully navigating time zone differences and asynchronous communication is a key part of the role, requiring proactive updates and flexibility.

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

To thrive as a Remote Infrastructure Software Engineer, you need a strong background in software engineering, computer networking, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code tools (like Terraform or Ansible), and CI/CD systems is essential, along with relevant certifications like AWS Certified Solutions Architect. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively across distributed teams and handling complex remote projects. These skills ensure secure, reliable, and scalable systems that support business goals in a remote work environment.
What are the most commonly searched types of Infrastructure Software Engineer jobs in Dallas, TX? The most popular types of Infrastructure Software Engineer jobs in Dallas, TX are:
What are popular job titles related to Remote Infrastructure Software Engineer jobs in Dallas, TX? For Remote Infrastructure Software Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Infrastructure Software Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Infrastructure Software Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Infrastructure Software Engineer jobs? Cities near Dallas, TX with the most Remote Infrastructure Software Engineer job openings:
Remote Infrastructure Software Engineer jobs near you
Infographic showing various Remote Infrastructure Software Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $178,325 per year, or $85.7 per hour.

Machine Learning Software Engineer II

Cambium Learning Group

Dallas, TX • On-site, Remote

$89K - $123K/yr

Full-time

Re-posted 28 days ago

Cambium Learning Group rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

11th of 241 rated software companies

Job description

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.
Job Overview:
We are seeking a talented Machine Learning Engineer II to join our CAI machine learning and scoring development team. In this role, you will be the crucial bridge between applied research and production systems. Working alongside a cross-functional group of mathematicians, computer scientists, psychometricians, and statisticians, you will design and deploy custom machine learning solutions for our clients and internal platforms.
The ideal candidate is a full-stack ML practitioner who is equally comfortable discussing algorithmic design with researchers and architecting scalable, low-latency production systems. You will own the full software development lifecycle-transforming research prototypes into optimized, production-ready solutions using modern AWS infrastructure such as SageMaker, ECS, and Lambda, with an emphasis on high-throughput inference and PyTorch-to-ONNX model optimization.
Job Responsibilities:
  • Full-Lifecycle ML Development: Lead the transition of machine learning models from theoretical prototypes into scalable, high-performance production systems.
  • AWS Cloud Architecture & Deployment: Architect and deploy ML solutions utilizing AWS ECS (Elastic Container Service) for containerized workloads and AWS Lambda for serverless, event-driven inference pipelines.
  • Model & Inference Optimization: Optimize PyTorch models for production deployment by converting them to ONNX formats. Apply advanced inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient attention mechanisms like Flash Attention to minimize latency and maximize throughput.
  • Infrastructure & Engineering Best Practices: Champion infrastructure best practices for machine learning systems, establishing reliable CI/CD pipelines, and ensuring robust, secure, and reproducible deployments across the AWS ecosystem.
  • Algorithm Engineering: Design, develop, and evaluate algorithms that generate descriptive, diagnostic, predictive, and prescriptive insights from both structured and unstructured data.
  • Robust Software Engineering: Write clean, efficient, and well-tested code. Complete rigorous testing, debugging, and documentation to ensure seamless installation and long-term maintenance.
  • Cross-Functional Collaboration: Actively participate in research discussions, requirements gathering, and system design alongside domain experts to build tailored scoring and ML solutions.

Job Requirements:
  • Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
  • Cloud & MLOps Infrastructure: Deep, hands-on experience with the AWS ecosystem, specifically AWS ECS and Lambda. Solid understanding of containerization (Docker) and event-driven architectures.
  • Programming Proficiency: Strong proficiency in modern programming languages used in ML (e.g., Python, C++, Java) and familiarity with industry-standard coding practices.
  • ML Frameworks & Advanced Optimization: Hands-on experience with PyTorch and other machine learning libraries (e.g., Scikit-Learn, TensorFlow). Deep understanding of model optimization pipelines, including PyTorch to ONNX conversions, ONNX Runtime, and scaling attention mechanisms (e.g., Flash Attention).
  • Data Systems: Experience working with large-scale computing frameworks, data analysis systems, and relational/non-relational databases.

Nice to Have's:
  • AWS SageMaker: Experience utilizing AWS SageMaker for managed model training and hosting.
  • Advanced LLMOps & Fine-Tuning: Hands-on experience applying modern parameter-efficient fine-tuning methods (such as LoRA and qLoRA) to large language models.
  • AI Agents: Experience building, integrating, and deploying autonomous or semi-autonomous AI agents to automate complex workflows and connect ML models with external tools/APIs.
  • NLP Expertise: Proven experience and familiarity with deep learning technologies applied specifically to Natural Language Processing (NLP) and complex text-based modeling.
  • Cross-Disciplinary Collaboration: Experience collaborating with specialized researchers (e.g., psychometricians, statisticians) to operationalize complex mathematical concepts.
  • Infrastructure as Code: Experience implementing IaC using tools like Terraform or AWS CloudFormation.
  • Model Monitoring: Experience setting up comprehensive model monitoring systems to detect data drift, concept drift, and model degradation in production AWS environments.

To apply for this opportunity, simply click on the "Apply" button and submit a cover letter and resume.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

What Cambium Learning Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply