Full Stack .Net Developer

Help redefine how the DoD makes multi-billion-dollar force-design decisions. In this role, you'll fuse physics-driven simulation, interactive computing, and verified AI code-generation to create next-generation wargaming platforms. If building ultra-low-latency APIs, taming high-volume geospatial data, and leading with clean, production-ready Python gets you fired up, let’s talk. What you’ll do Own the service layer—design, build, and scale FastAPI micro-services and lightning-fast ZeroMQ messaging pipelines running in Kubernetes and bare-metal clusters. Wrangle data at speed & scale—shape and query multi-TB Postgres/PostGIS datasets, orchestrate Redis for sub-millisecond state, and keep everything rock-solid under bursty load. Glue the stack together—expose crisp, well-versioned REST & WebSocket endpoints for the frontend crew and simulation kernel. Ship continuously—automate CI/CD, observability, and security hardening to DoD standards; push to prod with confidence. Lead by doing—drive code reviews, mentor teammates, and set the standard for test coverage and documentation. Why Code Metal? Mission with impact: your APIs become the nervous system of digital battlefields influencing multi-billion-dollar defense acquisitions. Velocity: tight-knit teams, weekly releases, zero bureaucratic drag. Ownership: no passengers—every engineer ships code that matters. Requirements Must-have credentials 4+ years building production backends in modern Python, with deep FastAPI (or equivalent async framework) experience. Proven expertise in ZeroMQ, NATS, Kafka, or similar high-throughput messaging systems. Hands-on with Postgres/PostGIS and Redis in performance-critical workloads. Cloud-native chops—Docker, Kubernetes, and one major provider (AWS, GCP, Azure, or GovCloud). Active Secret clearance or eligibility to obtain one.  Bonus points C++ or Rust skills for bridging high-performance simulation modules. Hardened services for FedRAMP / STIG compliance. Observability mindset—Prometheus, Grafana, OpenTelemetry. TS/SCI clearance. Benefits Health care plan with 100% premium coverage, including medical, dental, and vision. 401k with 5% matching. Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays). Flexible hybrid work arrangement. Relocation assistance for qualifying employees.

Briar Grace management has opening for a full-time person for cleaning and light maintenance. Cleaning apartments after move out and preparing them for new residence. Vacuuming halls, washing windows and snow removal using snowblower or shovel for walkways. Switch out dumpsters, must be able to communicate in English. Hours 8 AM – 4 PM. Located in Highland Park must be able to pass background check . $20 per hour send résume

Job Title : Grafana Developer with Python Location : (Plano, TX/ Columbus OH) W2 contract We are looking for a skilled Grafana Developer with Python expertise to join our team. Requirements Job Description: • Strong experience with Grafana in a production environment, including dashboard creation, alerting, and data source integrations. • Proficiency in Python, with experience in libraries like Pandas, NumPy, or others for data processing. • Experience integrating Grafana with data sources such as Prometheus, Elasticsearch, InfluxDB, or MySQL. • Familiarity with time-series databases and concepts such as monitoring, metrics collection, and alerting. • Ability to write efficient Python scripts to automate data ingestion, transformation, and integration with Grafana. • Solid understanding of API integrations and data pipelines. • Experience with version control systems such as Git. • Strong problem-solving and troubleshooting skills to quickly address issues with dashboards or data sources. • Good communication skills, with the ability to collaborate with cross-functional teams.

Briar Grace management has opening for a full-time person for cleaning and light maintenance. Cleaning apartments after move out and preparing them for new residence. Vacuuming halls, washing windows and snow removal using snowblower or shovel for walkways. Switch out dumpsters, must be able to communicate in English. Hours 8 AM – 4 PM. Located in Highland Park must be able to pass background check . $20 per hour send résume

Key Responsibilities : Design, Develop, and Implement Machine Learning Models Create and fine-tune machine learning models using Python. Utilize expertise in time series models to understand user queries and intent. Explore potential applications of GenAI to understand user queries and intent. Build and maintain robust data pipelines using Databricks (experience required). Package and deploy the machine learning service using Docker containers . Ensure the service is scalable, reliable, and secure. Write clean, maintainable, and well-documented code using Object-Oriented Programming (OOP) principles. Develop and execute unit tests to ensure code quality and reliability. Collaborate with cross-functional teams including data science, engineering, and product teams to bring the fashion assistant service to life. Participate in client management and project management activities as needed. Required Skills : Python: Expert level proficiency in Python programming with 5+ years of experience Docker: Experience in deploying services using Docker containers. Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies. Generative AI (GenAI): Basic understanding of GenAI applications.

Schneider is hiring CDL DRIVERS Below are just a couple of opportunities we have available. Go to www.schneiderjobs.com and check us out. Dedicated truck driver - Dollar General Top drivers earn up to $106,000 | Up to $5,000 sign-on bonus Average pay: $1,380 - $1,690 weekly Home time: Weekly Experience: All CDL holders Job ID: 230894 Dedicated daytime truck driver - Walmart Top drivers earn up to $91,000 | Up to $3,000 sign-on bonus Average pay: $1,200 - $1,470 weekly Home time: Weekly Experience: All CDL holders Job ID: 240145 Any Questions text Mike Slattery Schneider Field Recruiter