Senior Software Engineer [Chicago]
Inactive
8
8th LightSoftware Development
United States, Canada, United Kingdom, EST, PSTFull-TimeSenior
Salary104160 - 130200 USD per year
Job Details
- Languages
- English
- Experience
- 4+ years
- Required Skills
- PythonSoftware DevelopmentSQLArtificial IntelligenceGitJavaJavascriptMachine LearningRubySoftware ArchitectureTypeScriptGoReactCI/CDLinuxDevOpsScala
Requirements
- Successfully contributed to high-stakes consulting engagements from discovery to production
- Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
- Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served
- Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
- Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics)
- Used context-appropriate automated testing to inform software design choices and catch bugs
- Debugged and refactored pre-existing code to incrementally improve it
- Collaborated with teams using Git, MacOS/Linux, and CI/CD
- Remedied architecture-level concerns such as scalability, security, reliability, and performance
- Contributed to forums that encourage idea sharing, collaboration, and problem solving
- Made thoughtful recommendations and set direction in the face of ambiguity
- Mentored and shared knowledge with colleagues
- Actively sought out and effectively given feedback
- Communicated empathically with stakeholders and colleagues
- Influenced stakeholders to balance technical considerations with product and user needs
- MLOps: including tools like LangChain for application development and managing the ML lifecycle
- Data Engineering: including platforms like Databricks for data processing and analytics
- DevSecOps & DevOps
- Infrastructure as Code
Responsibilities
- Making immediate contributions to projects, rapidly building trust with your clients and team
- Working pragmatically to balance technology choices while delivering high-quality work within deadlines
- Contributing to architecture and software design discussions
- Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
- Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
- Contributing to formal feedback conversations with teams and clients via retrospectives
- Clearly articulating and documenting outcomes and driving forward action items
- Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
- Identifying, mitigating, and resolving blockers to team progress
- Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry
- Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate
