Dynamic Systems, Inc. · 2 hours ago
Platform Engineer – Internal Platforms, Data & AI Systems
Dynamic Systems, Inc. (DSI) is a leading mechanical and process construction contractor focused on innovation and technical excellence. They are seeking a Platform Engineer to design, build, and enhance internal platforms, data infrastructure, and AI-powered applications, working closely with developers and engineers to support automation and analytics initiatives.
ConstructionIndustrialReal Estate
Responsibilities
Develop and maintain backend APIs and internal services using Python (FastAPI + Uvicorn) and Pydantic v2
Support the architecture and implementation of shared tools and libraries across the internal platform
Build integrations that connect the automated system, data ingestion workflows, and AI-enabled features
Design and manage data ingestion pipelines using Fabric, pandas, and Postgres
Create repeatable ETL/ELT workflows for processing engineering specifications, RFIs, and compliance documentation. Work with structured and unstructured data to improve data quality, consistency, and accessibility
Optimize database performance, queries, and storage structures to support analytics and AI workloads
Collaborate with the DevOps and AI teams to implement data versioning, schema evolution, and lineage tracking
Partner with AI/ML engineers to integrate machine learning models and LLM-based features into production applications
Develop APIs and services for model inference, data enrichment, and prompt orchestration
Contribute to ongoing efforts to embed AI capabilities within internal systems and automation workflows
Write clean, tested, and maintainable code using pytest, Ruff, and pre-commit workflows
Support CI/CD processes (Hatch, Makefile) to ensure smooth deployment and integration
Implement monitoring, metrics, and dashboards using Prometheus and Grafana for visibility into system health
Work closely with data engineers, developers, and DevOps to deliver consistent, well-documented releases
Participate in code reviews, design discussions, and architecture improvements
Suggest enhancements to developer tooling, automation, and observability practices
Contribute to documentation for workflows, data pipelines, and service configurations
Qualification
Required
Strong Python experience
Experience with FastAPI and Uvicorn
Experience with Pydantic v2
Experience with Fabric, pandas, and Postgres
Ability to create repeatable ETL/ELT workflows
Experience with structured and unstructured data
Ability to optimize database performance, queries, and storage structures
Experience collaborating with DevOps and AI teams
Experience integrating machine learning models and LLM-based features
Ability to develop APIs and services for model inference and data enrichment
Experience writing clean, tested, and maintainable code using pytest, Ruff, and pre-commit workflows
Experience supporting CI/CD processes using Hatch and Makefile
Experience implementing monitoring, metrics, and dashboards using Prometheus and Grafana
Ability to work closely with data engineers, developers, and DevOps
Experience participating in code reviews, design discussions, and architecture improvements
Ability to suggest enhancements to developer tooling, automation, and observability practices
Experience contributing to documentation for workflows, data pipelines, and service configurations
Company
Dynamic Systems, Inc.
Dynamic Systems, A Quanta Services Company is a nationally recognized turn-key mechanical and process construction firm, operates from its corporate headquarters in Austin, Texas, with strategically positioned regional operations across the United States.
H1B Sponsorship
Dynamic Systems, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2025-07-31Acquired
Recent News
2025-10-31
2025-09-30
2025-08-14
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