Sr. Engineer

Sr. Engineer

Contract Duration: 6-12 months + extensions

Location:

Fort Worth, Texas

• 8+ years of experience
• AI and ML experience
• Bachelor degree in Computer Science
• Hands-on SW development experience
• Coaching experience
• TDD, Java and/or Python

Minimum Qualifications
- Education & Prior Job

Experience:

• Bachelor's degree in computer science or related discipline or an equivalent combination of education and work experience
• 4+ years of relevant work experience in an agile environment
• Demonstrated expertise in at least one object-oriented language
• Previous experience supporting high performing Agile / Dev Ops teams
• Past experience coaching or mentoring others, in any context
• Hands-on experience with engineering practices such as object-oriented design patterns, Extreme Programming, cloud design patterns, TDD, BDD, refactoring, and automation
• Experience with Continuous Integration and Continuous Delivery
• Expertise in Agile methodologies like Extreme Programming, Kanban, or Scrum
• Experience with implementing and operating Dev Ops tools/platforms across some part of the development lifecycle
• Working experience deploying and supporting business-critical, Internet scale distributed systems or high-volume client/server systems
• Proven experience in SQL and ability to design relational database schemas
• Ability to scrutinize provided architectures and suggest optimizations for deployment and minimizing the cost of change

• Experience building continuous integration/deployment pipelines
• Experience with any of the following:
• The Testing Pyramid and how to effectively apply it
• Multi-threading and concurrency
• Debugging, performance profiling and optimization
• Object-oriented and service-oriented application development patterns
• Native/cross-platform Mobile development
• Adept and comfortable communicating with team members and external business stakeholders of all levels
• Demonstrated ability to find creative ways of improving and simplifying solutions, systems, and processes without getting bogged down in blockers or bottlenecks
• Experience in modern and classical neural networks including LLMs, CNNs and RNNs, Agentic AI and Autonomous Agents, RAG architecture, and MLOPs

• Proficiency with the following technologies:
• Programming
  
  Languages:
  
  Java, Python, C#, Java script/Typescript
• Frameworks:
  Spring/Spring Boot, FastAPI
• Front End Technologies:
  Angular/React
• Deployment Technologies:
  Kubernetes, Docker
• Source Control:
  Git Hub, Azure Dev Ops
• CICD:
  Git Hub Actions, Azure Dev Ops
• Data management:
  PostgreSQL, MongoDB, Redis
• Integration/APIs Technologies:
  Kafka, REST, GraphQL
• Cloud Providers such as Azure and AWS
• Test Automation:
  Selenium, TestNG, Postman, Sonar Qube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
• Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity
• Ability to concisely convey ideas verbally, in writing, in code, and in diagrams
• Proficiency in object-oriented design techniques and principles
• Proficiency in Agile frameworks and methodologies
• Proficiency in Dev Ops Toolchain