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 standardsHolistic testing strategiesCI / CD processesSecurity protocols and technical design practicesOptimize system architecture, balancing complexity, development cost, and operational efficiency, with decisions including :Application hosting strategiesCommunication between app componentsData structure design, both current and futureAPI design and integrationContribute directly to high-impact projectsMentor engineering team members and support career growthYou Will Thrive in This Role If You
Bring a pragmatic approach to addressing resource constraints and problem-solving in a startup environmentExcel at enhancing team productivity through a combination of individual work and team influencePossess the vision to foresee and prioritize future needsAre flexible and adaptable, ready to meet the team at its current capability levelQualifications
10+ years in software engineering3+ years of professional experience in PythonProficiency in HTML / CSS, JavaScript, and modern web frameworks like ReactUnderstanding of machine learning fundamentalsStrong grasp of networking principlesExperience deploying container-based applications using KubernetesFamiliarity with deployment tools like Ansible or TerraformKnowledge of databases such as MongoDB, Cassandra, or SQLExperience with cloud platforms (AWS, Azure, GCP)Proficiency in CI / CD pipeline management with tools like JenkinsAPI design and implementation experience, including REST and GraphQL