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Deployed Services Tx Jobs (NOW HIRING)

DevOps Engineer 3

Cedar Park, TX · On-site

$49.50 - $68/hr

I. DESCRIPTION OF SERVICES Texas Health and Human Services Commission requires the services of 2 ... In addition, this DevOps engineer will be assigned to install, configure, build and deploy ...

Senior Software Engineer

Boston, TX

$111K - $147K/yr

Houston, TX; Boston, MA; A quick snapshot... As a Senior Software Engineer at Conga, you will be a ... Monitor and maintain the health of deployed services using telemetry and performance indicators

... Texas, Florida, New Jersey, Michigan, and Minnesota. What You'll Do: * Build and deploy AI agents using large language models (LLMs). * Implement backend services and APIs to support agent workflows.

... Texas, Florida, New Jersey, Michigan, and Minnesota. What You'll Do: * Build and deploy AI agents using large language models (LLMs). * Implement backend services and APIs to support agent workflows.

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How much do deployed services tx jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for deployed services tx in the United States is $60.95, according to ZipRecruiter salary data. Most workers in this role earn between $53.85 and $67.07 per hour, depending on experience, location, and employer.

What is the difference between Deployed Services Tx vs Network Technician?

AspectDeployed Services TxNetwork Technician
Required CredentialsCertifications like CompTIA A+, Network+Certifications like CompTIA Network+, Cisco CCNA
Work EnvironmentOn-site deployment, field serviceOn-site and remote network troubleshooting
Employer & Industry UsageTelecom, IT service providersIT departments, telecom companies
Common Search & ComparisonDeployed Services Tx vs Network Technician

Deployed Services Tx primarily focuses on deploying and maintaining telecommunications equipment in the field, often requiring hands-on installation skills. Network Technicians concentrate on troubleshooting, configuring, and maintaining network infrastructure. While both roles require networking certifications and involve on-site work, Deployed Services Tx emphasizes deployment and setup, whereas Network Technicians focus on ongoing network support and repairs.

More about Deployed Services Tx jobs
What cities are hiring for Deployed Services Tx jobs? Cities with the most Deployed Services Tx job openings:
What states have the most Deployed Services Tx jobs? States with the most job openings for Deployed Services Tx jobs include:
Infographic showing various Deployed Services Tx job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $126,785 per year, or $61 per hour.
Software Developer Specialist

Software Developer Specialist

Judge Group, Inc.

Austin, TX

$90 - $92/hr

Other

Posted 5 days ago


Job description

Location: Austin, TX
Salary: $90.00 USD Hourly - $92.00 USD Hourly
Description: Our client is currently seeking a Software Developer Specialist
DESCRIPTION OF SERVICES
Texas Department of Transportation requires the services of 1 Software Developer Specialist, hereafter referred to as Candidate(s), who meets the general qualifications of Software Developer Specialist, Applications/Software Development and the specifications outlined in this document for the Texas Department of Transportation.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Transportation and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Department of Transportation will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
A Software Developer Specialist will focus on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. Leveraging PEPS ensures compliance with procurement regulations while enabling rapid onboarding of specialized talent.
The Senior Software Developer Specialist will be responsible for advancing TxDOT's AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support transportation engineering workflows. This role will focus on transforming early-stage AI models and prototypes-such as those supporting plan review automation, roadway asset detection, and digital delivery-into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise.
Required:
Cloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services).
DevOps: Ansible, CI/CD, Docker and Kubernetes experience.
Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
Scripting: Proficient in both Bash and PowerShell for automation.
CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.
Python: 3-5+ years production experience, this is your primary language.
NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.
Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.
Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.
MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.
Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.
Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.
Feature stores (Feast, Tecton) or advanced feature engineering.
Model optimization: quantization, pruning, knowledge distillation.
LLM Models: Ollama, Huggingface, or other non-frontier models
AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.
Preferred:
Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
Prior experience in the transportation, logistics, or smart city sectors.
Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.
Familiarity with public sector data compliance, security, and governance standards.
Experience with the Unreal gaming engine and real world digital twinning
Experience with Google Maps Cesium API
Experience with Polygonflow Dash and its capabilities
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!