Senior Software Developer /Cloud Platforms

Job Title: Senior Software Developer – Cloud Platforms

Location: Austin, TX (Hybrid)

Duration: Long-Term Contract

Description of Services

The Texas Department of Transportation (TxDOT) requires the services of one Software Developer Specialist who meets the general qualifications for Applications/Software Development.

The selected candidate will focus on delivering engineering-related software services, including:

• Model ingestion
• Automated quantity extraction
• Plan conformance checks
• CI/CD automation

Requirement

• This role will leverage PEPS to ensure compliance with procurement regulations while enabling efficient onboarding of specialized talent.
• The Senior Software Developer Specialist will play a key role in advancing TxDOT’s AI initiatives by transforming proof-of-concept (POC) solutions into scalable, production-ready web applications. These applications will support transportation engineering workflows and enable enterprise-wide accessibility through secure and user-friendly web interfaces.

Key responsibilities include:

• Extending AI models and prototypes into enterprise-grade applications
• Supporting plan review automation, roadway asset detection, and digital delivery initiatives
• Building scalable, integrated systems aligned with transportation engineering needs
• Ensuring secure deployment and enterprise usability

Candidates must meet or exceed the following requirements:

• Cloud Platforms (8 years): Experience with AWS, Azure, GCP, or OCI for deploying and managing machine learning workloads. Familiarity with tools such as Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, and OCI AI Services.
• DevOps (8 years): Strong experience with Ansible, CI/CD pipelines, Docker, and Kubernetes.
• Databases (8 years): Expertise in SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
• Scripting (8 years): Proficiency in Bash and PowerShell for automation tasks.
• CI/CD Tools (8 years): Experience with Azure DevOps, GitHub Actions, Jenkins, or similar tools.
• Python Development (3 years): Production-level experience with Python as the primary programming language.
• NLP / LLMs (3 years): Experience with transformer models (BERT, GPT, T5), RAG systems, prompt engineering, fine-tuning, and LLM-based application development.
• Time Series Modeling (3 years): Experience in forecasting, anomaly detection, sequential modeling, or real-time monitoring systems.
• Recommender Systems (3 years): Knowledge of collaborative filtering, ranking models, and personalization engines.
• MLOps Tools (3 years): Hands-on experience with MLflow, Weights & Biases, Kubeflow, Airflow, or equivalent tools.
• Distributed Training (3 years): Experience with multi-GPU/multi-node environments and efficient data parallelism.
• Computer Vision (3 years): Production experience using PyTorch or TensorFlow, including tools like OpenCV and YOLO for object detection, segmentation, and real-time inference.
• Feature Engineering (3 years): Experience with feature stores such as Feast or Tecton.
• Model Optimization (3 years): Experience in quantization, pruning, and knowledge distillation.
• LLM Ecosystems (3 years): Experience with Ollama, Hugging Face, or similar non-frontier models.
• AI/ML Production (2 years): Proven track record of deploying 2–3 production-grade ML models used by real users.

Preferred Qualifications

• Experience with Geospatial Information Systems (GIS) and spatial data analysis
• Background in transportation, logistics, or smart city domains
• Experience in computer vision for infrastructure or vehicular data
• Knowledge of public sector compliance, security, and governance standards
• Experience with Unreal Engine and real-world digital twin technologies
• Familiarity with Google Maps Cesium API
• Experience with Polygonflow Dash and its capabilities

Terms of Service

Start Date: June 15, 2026

End Date: June 14, 2027