Engineering Lead

Job Summary

We are seeking an experienced Engineering Lead with a strong background in software engineering machine learning and leadership. This role requires a seasoned professional who can work effectively across various time zones managing complex projects and guiding a team of developers to deliver topquality solutions. The ideal candidate has a keen eye for system architecture is highly skilled in software design and can communicate technical requirements clearly to drive development.

Key Responsibilities

• Project Leadership: Lead and manage multiple projects across time zones ensuring timely delivery and alignment with business goals.
• Architecture & Design: Develop and review highlevel architecture diagrams design models and flow charts to ensure technical alignment with project requirements.
• Crossfunctional Collaboration: Work closely with stakeholders to understand project requirements translating them into actionable plans for the development team.
• Technical Guidance: Provide expertlevel guidance in Python and JavaScript development; familiarity with NodeRED is a plus.
• Network & Security: Oversee the integration of secure network designs implement best practices in security and ensure robust data protection measures.
• Containerization & Orchestration: Deploy solutions in containerized environments leveraging Docker Kubernetes and other orchestration tools.
• Cloud Solutions: Manage deployments in cloud environments specifically AWS and Azure ensuring scalability security and costeffectiveness.
• AI & ML: Lead AI and machine learning projects with a focus on understanding large language models (LLMs) deep learning architectures and implementing ML models into production.

Basic Qualifications

• Experience: 10 years in software development and/or machine learning projects.
• Technical Proficiency: Strong programming skills in Python and JavaScript with knowledge of NodeRED as a plus.
• Architecture & Design Skills: Demonstrated ability to create comprehensive architecture diagrams and design documents; experience with Figma or other design tools.
• Network & Security: Indepth understanding of network architecture cybersecurity best practices and secure code development.
• Version Control: Proficient with code versioning tools and best practices (e.g. Git).
• Containerization: Expertise with Docker and Kubernetes for containerization and orchestration.
• Cloud Expertise: Handson experience with AWS and Azure environments with an understanding of cloudnative development and architecture.

Preferred Skills

• Machine Learning: Familiarity with LLMs deep learning architectures and the broader ML model lifecycle.
• Communication: Strong interpersonal skills to bridge communication between technical and nontechnical team members.
• Continuous Improvement: Proactive mindset towards optimizing processes enhancing workflows and ensuring highquality code delivery.

Equal Employment Opportunity Statement

Our company is an Equal Employment Opportunity (EEO) employer committed to fostering an inclusive diverse and respectful work environment. We prohibit discrimination and harassment of any kind ensuring that all employment decisions including recruitment hiring promotion and compensation are based solely on qualifications skills and performance.

We provide equal employment opportunities to all employees and applicants without regard to race color religion sex sexual orientation gender identity or expression national origin age genetic information disability veteran status marital status medical condition or any other status protected by federal state or local law.

As a California and Colorado employer we comply with statespecific laws. In California we follow the Fair Employment and Housing Act (FEHA) extending protection against discrimination based on ancestry citizenship and gender expression. In Colorado we comply with the Equal Pay for Equal Work Act ensuring transparent pay practices and equal opportunities for career advancement including disclosing pay ranges for all job openings.

We value each persons unique background and encourage applicants of all identities and backgrounds to apply. Our commitment to fair employment extends to building an accessible workplace where reasonable accommodations are provided for qualified individuals with disabilities.