Staff Engineer

Job Overview: 

• Title: Staff Engineer
• Salary: up to $175,000
• Requirements: Python, CI/CD, Machine Learning
• Location: 100% Remote

About the Opportunity

Our Client is transforming the construction industry with AI-driven solutions, enhancing the speed and accuracy of field operations in the construction and industrial engineering sectors. As Staff Engineer, you'll drive productivity within the Engineering team through both individual contributions and by enhancing team efficiency. This role requires both hands-on problem-solving with complex technical challenges and the ability to guide and uplift the team.

Key Responsibilities

• Lead the adoption of best practices across the engineering team in areas like:
• Code standards
• Holistic testing strategies
• CI/CD processes
• Security protocols and technical design practices
• Optimize system architecture, balancing complexity, development cost, and operational efficiency, with decisions including:
• Application hosting strategies
• Communication between app components
• Data structure design, both current and future
• API design and integration
• Contribute directly to high-impact projects
• Mentor engineering team members and support career growth

You Will Thrive in This Role If You

• Bring a pragmatic approach to addressing resource constraints and problem-solving in a startup environment
• Excel at enhancing team productivity through a combination of individual work and team influence
• Possess the vision to foresee and prioritize future needs
• Are flexible and adaptable, ready to meet the team at its current capability level

Qualifications

• 10+ years in software engineering
• 3+ years of professional experience in Python
• Proficiency in HTML/CSS, JavaScript, and modern web frameworks like React
• Understanding of machine learning fundamentals
• Strong grasp of networking principles
• Experience deploying container-based applications using Kubernetes
• Familiarity with deployment tools like Ansible or Terraform
• Knowledge of databases such as MongoDB, Cassandra, or SQL
• Experience with cloud platforms (AWS, Azure, GCP)
• Proficiency in CI/CD pipeline management with tools like Jenkins
• API design and implementation experience, including REST and GraphQL